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| <title>OSINT Environment Dashboard</title> | |
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| </style> | |
| </head> | |
| <body> | |
| <div class="wrap"> | |
| <div class="hero"> | |
| <section class="card hero-main"> | |
| <h1>OSINT Benchmark Dashboard</h1> | |
| <p class="muted">Interactive explorer for canonical knowledge graph, episode traces, source platform records, and benchmark ranking.</p> | |
| <div class="pill-row" id="hero-pills"></div> | |
| <div class="stats" id="stats"></div> | |
| </section> | |
| <section class="card"> | |
| <h2>Episode Explorer</h2> | |
| <div class="inline" style="margin-bottom:8px"> | |
| <label class="mono" for="episode-select">Episode</label> | |
| <select id="episode-select" style="flex:1"></select> | |
| </div> | |
| <div class="inline" style="gap:6px; margin-bottom:8px"> | |
| <button id="episode-prev">Prev</button> | |
| <button id="episode-next">Next</button> | |
| </div> | |
| <div><strong>Task ID:</strong> <span id="task-id"></span></div> | |
| <div><strong>Task Type:</strong> <span id="task-type"></span></div> | |
| <div style="margin-top:8px"><strong>Question</strong></div> | |
| <div id="task-question" class="muted mono-box"></div> | |
| <div style="margin-top:8px"><strong>Ground Truth Answer</strong>: <span id="task-answer"></span></div> | |
| <div style="margin-top:8px"><strong>Agent Answer</strong>: <span id="agent-answer"></span></div> | |
| <div style="margin-top:8px"><strong>Correct</strong>: <span id="answer-correct"></span></div> | |
| </section> | |
| </div> | |
| <div class="layout"> | |
| <section class="card control-col"> | |
| <div> | |
| <h2>Graph Controls</h2> | |
| <div class="control-grid"> | |
| <label class="mono" for="graph-mode">Graph Layer</label> | |
| <select id="graph-mode"> | |
| <option value="canonical">Canonical Graph</option> | |
| <option value="episode">Episode Graph</option> | |
| </select> | |
| <label class="mono" for="graph-search">Node Search</label> | |
| <input id="graph-search" type="search" placeholder="Type node id or label..." /> | |
| <label class="mono" for="relation-filter">Relation Filter</label> | |
| <input id="relation-filter" type="search" placeholder="Filter edge labels..." /> | |
| <button id="fit-graph" class="primary">Fit Graph</button> | |
| </div> | |
| </div> | |
| <div> | |
| <h2>Node Types</h2> | |
| <div id="type-filters" class="control-grid mono"></div> | |
| </div> | |
| </section> | |
| <section class="card"> | |
| <h2>Graph Explorer</h2> | |
| <div class="graph-wrap"> | |
| <div class="graph-banner" id="graph-banner">Layer: Canonical Graph</div> | |
| <div id="graph-canvas" class="graph"></div> | |
| </div> | |
| <div class="legend"> | |
| <span><span class="dot" style="background:#16a34a"></span>matched edge</span> | |
| <span><span class="dot" style="background:#2563eb"></span>predicted only</span> | |
| <span><span class="dot" style="background:#f59e0b"></span>truth only</span> | |
| </div> | |
| </section> | |
| <section class="card control-col"> | |
| <div> | |
| <h2>Node Inspector</h2> | |
| <pre id="node-detail" class="json-view">Click a node to inspect attributes and neighbors.</pre> | |
| </div> | |
| <div> | |
| <h2>Edge Inspector</h2> | |
| <pre id="edge-detail" class="json-view">Click an edge to inspect relation details.</pre> | |
| </div> | |
| </section> | |
| </div> | |
| <div class="split"> | |
| <section class="card"> | |
| <h2>Original Database Explorer</h2> | |
| <div class="db-tabs" id="db-tabs"></div> | |
| <div class="inline" style="margin-bottom:8px"> | |
| <input id="db-search" type="search" placeholder="Search records..." style="flex:1" /> | |
| <select id="db-limit"> | |
| <option value="200">200</option> | |
| <option value="500">500</option> | |
| <option value="1000">1000</option> | |
| </select> | |
| </div> | |
| <div class="table-wrap"><table id="db-table"></table></div> | |
| </section> | |
| <section class="card"> | |
| <h2>Selected Source Record</h2> | |
| <pre id="db-detail" class="json-view">Click a row in the database table to inspect full JSON.</pre> | |
| </section> | |
| </div> | |
| <div class="charts"> | |
| <section class="card"> | |
| <h2>Benchmark Summary Radar</h2> | |
| <div class="chart-box"><canvas id="summary-chart"></canvas></div> | |
| </section> | |
| <section class="card"> | |
| <h2>Episode Reward and Graph F1</h2> | |
| <div class="chart-box"><canvas id="trace-chart"></canvas></div> | |
| </section> | |
| </div> | |
| <section class="card"> | |
| <h2>Benchmark Leaderboard</h2> | |
| <div class="inline" style="margin-bottom:8px"> | |
| <label class="mono" for="leader-sort">Sort by</label> | |
| <select id="leader-sort" class="subtle"> | |
| <option value="leaderboard_score">leaderboard_score</option> | |
| <option value="task_success_rate">task_success_rate</option> | |
| <option value="avg_graph_f1">avg_graph_f1</option> | |
| <option value="retrieval_signal">retrieval_signal</option> | |
| <option value="structural_signal">structural_signal</option> | |
| <option value="spawn_signal">spawn_signal</option> | |
| <option value="avg_reward">avg_reward</option> | |
| </select> | |
| </div> | |
| <div class="table-wrap"><table id="leaderboard-table"></table></div> | |
| </section> | |
| </div> | |
| <script> | |
| const payload = {"summary": {"task_success_rate": 1.0, "tool_efficiency": 0.5, "avg_graph_f1": 0.8492063492063492, "avg_steps_to_solution": 9.0, "deanonymization_accuracy": 1.0, "avg_reward": 4.201760569277529, "avg_knowledge_carrier_reward": 0.5, "avg_knowledge_indexing_reward": 0.012000000000000002, "avg_connectivity_reward": 0.16999999999999998, "avg_format_reward": 0.14999999999999997, "avg_relation_informativeness_reward": 0.05935837081627929, "avg_entity_informativeness_reward": -0.0181244777358718, "avg_diversity_reward": 0.1157777777777778, "avg_soft_shaping_reward": 0.24999999999999994, "avg_connectivity_gain_reward": 0.16666666666666666, "avg_compactness_reward": 0.0, "avg_spawn_count": 4.0, "spawn_completion_rate": 1.0, "avg_spawn_critical_steps": 6.0, "spawn_signal": 0.6666666666666666, "retrieval_signal": 0.6792, "structural_signal": 0.5847801119494148, "leaderboard_score": 0.8534887252258901}, "episodes": [{"task_id": "seed_task_0", "task_type": "identity_resolution", 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"knowledge_indexing": 0.0, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.32808540635585226, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "post_shift_roster", "rel": "references", "dst": "loc_dockyard17", "confidence": 1.0}], "truth_edges": [{"src": "post_shift_roster", "rel": "references", "dst": "loc_dockyard17", "confidence": 1.0}]}, {"task_id": "seed_task_5", "task_type": "identity_resolution", "question": "Alias alias_monsoonbyte belongs to which user and where does that user work? Return only the organization node id.", "task_answer": "org_blueharbor_media", "agent_answer": "org_blueharbor_media", "graph_f1": 1.0, "reward": 5.0327885648681026, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.064, "invalid_tool_penalty": 0.0, "total": 5.240703158512251, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.15000000000000002, "relation_informativeness": -0.0009554903483872754, "entity_informativeness": -0.02667468447269475, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.18000000000000002, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "alias_monsoonbyte", "rel": "alias_of", "dst": "user_diya", "confidence": 1.0}, {"src": "user_diya", "rel": "works_at", "dst": "org_blueharbor_media", "confidence": 1.0}], "truth_edges": [{"src": "alias_monsoonbyte", "rel": "alias_of", "dst": "user_diya", "confidence": 1.0}, {"src": "user_diya", "rel": "works_at", "dst": "org_blueharbor_media", "confidence": 1.0}]}, {"task_id": "seed_task_6", "task_type": "event_tracing", "question": "Which user both authored thread thr_supply_leak and investigates event_project_lantern?", "task_answer": "user_diya", "agent_answer": "user_diya", "graph_f1": 1.0, "reward": 4.887245669359377, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 5.159160263003525, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.1538402686970082, "entity_informativeness": -0.05968000569348237, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "user_diya", "rel": "authored_thread", "dst": "thr_supply_leak", "confidence": 1.0}, {"src": "user_diya", "rel": "investigates", "dst": "event_project_lantern", "confidence": 1.0}], "truth_edges": [{"src": "user_diya", "rel": "authored_thread", "dst": "thr_supply_leak", "confidence": 1.0}, {"src": "user_diya", "rel": "investigates", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_7", "task_type": "cross_platform_linking", "question": "Which organization operates in the location referenced by post_midnight_manifest?", "task_answer": "org_northbridge_logistics", "agent_answer": "org_northbridge_logistics", "graph_f1": 1.0, "reward": 4.866493998418333, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 5.138408592062481, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.09106731287281425, "entity_informativeness": -0.017658720810331874, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "post_midnight_manifest", "rel": "references", "dst": "loc_dockyard17", "confidence": 1.0}, {"src": "org_northbridge_logistics", "rel": "operates_in", "dst": "loc_dockyard17", "confidence": 1.0}], "truth_edges": [{"src": "post_midnight_manifest", "rel": "references", "dst": "loc_dockyard17", "confidence": 1.0}, {"src": "org_northbridge_logistics", "rel": "operates_in", "dst": "loc_dockyard17", "confidence": 1.0}]}, {"task_id": "seed_task_8", "task_type": "network_discovery", "question": "user_ivy is directly connected to which collaborator on event_project_lantern?", "task_answer": "user_bharat", "agent_answer": "user_bharat", "graph_f1": 1.0, "reward": 4.768396011079182, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 5.04031060472333, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.04873759982431083, "entity_informativeness": -0.07342699510098014, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "user_ivy", "rel": "connected_to", "dst": "user_bharat", "confidence": 1.0}, {"src": "user_bharat", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}], "truth_edges": [{"src": "user_ivy", "rel": "connected_to", "dst": "user_bharat", "confidence": 1.0}, {"src": "user_bharat", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_9", "task_type": "deanonymization", "question": "Which canonical user is behind alias_docksparrow and collaborates on event_project_lantern?", "task_answer": "user_hiro", "agent_answer": "user_hiro", "graph_f1": 1.0, "reward": 4.8491889730762745, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 5.121103566720422, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.15000000000000002, "relation_informativeness": 0.06870713485222198, "entity_informativeness": -0.035936901465132676, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.3, "graph_f1": 0.55, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "alias_docksparrow", "rel": "alias_of", "dst": "user_hiro", "confidence": 1.0}, {"src": "user_hiro", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}], "truth_edges": [{"src": "alias_docksparrow", "rel": "alias_of", "dst": "user_hiro", "confidence": 1.0}, {"src": "user_hiro", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_10", "task_type": "convoluted_trace", "question": "An alias authored post_midnight_manifest referencing loc_dockyard17; through a direct connection from that alias owner, which user collaborates on event_project_lantern?", "task_answer": "user_bharat", "agent_answer": "user_bharat", "graph_f1": 0.5714285714285715, "reward": 4.035947417130322, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 4.307862010774469, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.06870713485222198, "entity_informativeness": 0.009869161636533142, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": -0.3, "graph_f1": 0.31428571428571433, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.32808540635585226, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "alias_orchidfox", "rel": "alias_of", "dst": "user_ivy", "confidence": 1.0}, {"src": "alias_orchidfox", "rel": "authored_post", "dst": "post_midnight_manifest", "confidence": 1.0}], "truth_edges": [{"src": "alias_orchidfox", "rel": "alias_of", "dst": "user_ivy", "confidence": 1.0}, {"src": "alias_orchidfox", "rel": "authored_post", "dst": "post_midnight_manifest", "confidence": 1.0}, {"src": "post_midnight_manifest", "rel": "references", "dst": "loc_dockyard17", "confidence": 1.0}, {"src": "user_ivy", "rel": "connected_to", "dst": "user_bharat", "confidence": 1.0}, {"src": "user_bharat", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_11", "task_type": "convoluted_trace", "question": "Thread thr_supply_leak references org_northbridge_logistics. Identify the canonical user behind alias_docksparrow who works there and collaborates on event_project_lantern.", "task_answer": "user_hiro", "agent_answer": "user_hiro", "graph_f1": 0.6666666666666666, "reward": 4.237246885434406, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 4.5091614790785535, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.15000000000000002, "relation_informativeness": 0.055627269200726095, "entity_informativeness": -0.0014657901221725345, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": -0.15, "graph_f1": 0.3666666666666667, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.32808540635585226, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "thr_supply_leak", "rel": "references", "dst": "org_northbridge_logistics", "confidence": 1.0}, {"src": "alias_docksparrow", "rel": "alias_of", "dst": "user_hiro", "confidence": 1.0}], "truth_edges": [{"src": "thr_supply_leak", "rel": "references", "dst": "org_northbridge_logistics", "confidence": 1.0}, {"src": "alias_docksparrow", "rel": "alias_of", "dst": "user_hiro", "confidence": 1.0}, {"src": "user_hiro", "rel": "works_at", "dst": "org_northbridge_logistics", "confidence": 1.0}, {"src": "user_hiro", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_12", "task_type": "convoluted_trace", "question": "Cross-platform Black Kite linkage: alias_monsoonbyte authored post_drone_parts referencing event_black_kite. Which canonical user behind that alias is directly connected to the Kestrel Works collaborator on the same event?", "task_answer": "user_diya", "agent_answer": "user_diya", "graph_f1": 0.5, "reward": 4.401765935104136, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 4.673680528748283, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.06870713485222198, "entity_informativeness": 0.0149733938960619, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.09999999999999998, "graph_f1": 0.275, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "alias_monsoonbyte", "rel": "alias_of", "dst": "user_diya", "confidence": 1.0}, {"src": "alias_monsoonbyte", "rel": "authored_post", "dst": "post_drone_parts", "confidence": 1.0}], "truth_edges": [{"src": "alias_monsoonbyte", "rel": "alias_of", "dst": "user_diya", "confidence": 1.0}, {"src": "alias_monsoonbyte", "rel": "authored_post", "dst": "post_drone_parts", "confidence": 1.0}, {"src": "post_drone_parts", "rel": "references", "dst": "event_black_kite", "confidence": 1.0}, {"src": "user_ivy", "rel": "works_at", "dst": "org_kestrel_works", "confidence": 1.0}, {"src": "user_ivy", "rel": "collaborates_on", "dst": "event_black_kite", "confidence": 1.0}, {"src": "user_diya", "rel": "connected_to", "dst": "user_ivy", "confidence": 1.0}]}, {"task_id": "seed_task_13", "task_type": "convoluted_trace", "question": "A sat-phone ping alias references loc_rivergate. Which canonical user behind alias_nightrelay works at an organization operating there and collaborates on event_project_lantern?", "task_answer": "user_faris", "agent_answer": "user_faris", "graph_f1": 0.5, "reward": 4.209316108644326, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 4.4812307022884745, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.06870713485222198, "entity_informativeness": 0.022523567436252216, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": -0.1, "graph_f1": 0.275, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.32808540635585226, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "alias_nightrelay", "rel": "alias_of", "dst": "user_faris", "confidence": 1.0}, {"src": "alias_nightrelay", "rel": "authored_post", "dst": "post_sat_phone_ping", "confidence": 1.0}], "truth_edges": [{"src": "alias_nightrelay", "rel": "alias_of", "dst": "user_faris", "confidence": 1.0}, {"src": "alias_nightrelay", "rel": "authored_post", "dst": "post_sat_phone_ping", "confidence": 1.0}, {"src": "post_sat_phone_ping", "rel": "references", "dst": "loc_rivergate", "confidence": 1.0}, {"src": "user_faris", "rel": "works_at", "dst": "org_tidewatch_ops", "confidence": 1.0}, {"src": "org_tidewatch_ops", "rel": "operates_in", "dst": "loc_rivergate", "confidence": 1.0}, {"src": "user_faris", "rel": "collaborates_on", "dst": "event_project_lantern", "confidence": 1.0}]}, {"task_id": "seed_task_14", "task_type": "convoluted_trace", "question": "From thread thr_port_audit discussing event_black_kite and referencing org_kestrel_works, identify the canonical user whose alias authored post_midnight_manifest and who collaborates on event_black_kite.", "task_answer": "user_ivy", "agent_answer": "user_ivy", "graph_f1": 0.5, "reward": 4.333080927373117, "steps": 9, "tool_calls": 4, "success": 1, "reward_components": {"tool_novelty": -0.30000000000000004, "tool_relevance": 0.0, "invalid_tool_penalty": 0.0, "total": 4.6049955210172655, "global_accuracy": 1.7, "soft_shaping": 0.3, "efficiency": 0.08833333333333335, "diversity": 0.12666666666666665, "relation_informativeness": 0.11840022502492006, "entity_informativeness": -0.003404704007654851, "connectivity_gain": 0.2, "duplicate_edge_penalty": -0.3, "format_reward": 0.15, "correctness": 1.15, "knowledge_carrier": 0.5, "knowledge_indexing": 0.0, "connectivity": 0.0, "graph_f1": 0.275, "compactness": 0.0, "repetition_penalty": 0.0, "spawn_auxiliary": 0.3280854063558518, "spawn_count": 4.0, "spawn_finished_subtasks": 4.0, "spawn_critical_steps": 6.0, "spawn_depth": 2.0, "spawn_breadth": 2.0}, "spawn_count": 4, "spawn_critical_steps": 6, "pred_edges": [{"src": "thr_port_audit", "rel": "discusses", "dst": "event_black_kite", "confidence": 1.0}, {"src": "thr_port_audit", "rel": "references", "dst": "org_kestrel_works", "confidence": 1.0}], "truth_edges": [{"src": "thr_port_audit", "rel": "discusses", "dst": "event_black_kite", "confidence": 1.0}, {"src": "thr_port_audit", "rel": "references", "dst": "org_kestrel_works", "confidence": 1.0}, {"src": "alias_orchidfox", "rel": "alias_of", "dst": "user_ivy", "confidence": 1.0}, {"src": "alias_orchidfox", "rel": "authored_post", "dst": "post_midnight_manifest", "confidence": 1.0}, {"src": "user_ivy", "rel": "works_at", "dst": "org_kestrel_works", "confidence": 1.0}, {"src": "user_ivy", "rel": "collaborates_on", "dst": "event_black_kite", "confidence": 1.0}]}], "leaderboard": [{"config": {"max_agents": 3, "max_breadth": 2, "max_depth": 2, "max_steps": 18, 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"work_history": ["Northbridge Logistics"]}, {"user_id": "user_cyrus", "name": "Cyrus Mehta", "org": "Apex Dynamics", "location": "Old Town", "connections": ["user_gita"], "work_history": ["Apex Dynamics"]}, {"user_id": "user_diya", "name": "Diya Roy", "org": "Blueharbor Media", "location": "Old Town", "connections": ["user_elin", "user_ivy"], "work_history": ["Blueharbor Media"]}, {"user_id": "user_elin", "name": "Elin Das", "org": "Helios Labs", "location": "Sector 9", "connections": ["user_aria"], "work_history": ["Helios Labs"]}, {"user_id": "user_faris", "name": "Faris Noor", "org": "Tidewatch Ops", "location": "Rivergate", "connections": ["user_diya"], "work_history": ["Tidewatch Ops"]}, {"user_id": "user_gita", "name": "Gita Pradhan", "org": "Apex Dynamics", "location": "Old Town", "connections": ["user_jules"], "work_history": ["Apex Dynamics"]}, {"user_id": "user_hiro", "name": "Hiro Tan", "org": "Northbridge Logistics", "location": "Dockyard 17", "connections": ["user_faris"], "work_history": ["Northbridge Logistics"]}, {"user_id": "user_ivy", "name": "Ivy Kapoor", "org": "Kestrel Works", "location": "Rivergate", "connections": ["user_bharat", "user_elin"], "work_history": ["Kestrel Works"]}, {"user_id": "user_jules", "name": "Jules Banerjee", "org": "Blueharbor Media", "location": "Old Town", "connections": ["user_bharat"], "work_history": ["Blueharbor Media"]}, {"user_id": "noise_0", "name": "P738", "org": "Unknown Ventures", "location": "Remote", "connections": [], "work_history": []}, {"user_id": "noise_1", "name": "P215", "org": "Stealth Co", "location": "Remote", "connections": [], "work_history": []}, {"user_id": "noise_2", "name": "P186", "org": "Unknown Ventures", "location": "Unknown", "connections": [], "work_history": []}, {"user_id": "noise_3", "name": "P140", "org": "Stealth Co", "location": "Unknown", "connections": [], "work_history": []}, {"user_id": "noise_4", "name": "P873", "org": "Stealth Co", "location": "Unknown", "connections": [], "work_history": []}]}, "task": {"task_id": "seed_task_14", "task_type": "convoluted_trace", "question": "From thread thr_port_audit discussing event_black_kite and referencing org_kestrel_works, identify the canonical user whose alias authored post_midnight_manifest and who collaborates on event_black_kite.", "answer": "user_ivy"}}; | |
| function metricCards(summary) { | |
| const selected = [ | |
| ["leaderboard_score", summary.leaderboard_score || 0], | |
| ["task_success_rate", summary.task_success_rate || 0], | |
| ["avg_graph_f1", summary.avg_graph_f1 || 0], | |
| ["retrieval_signal", summary.retrieval_signal || 0], | |
| ["structural_signal", summary.structural_signal || 0], | |
| ["tool_efficiency", summary.tool_efficiency || 0], | |
| ["avg_reward", summary.avg_reward || 0] | |
| ]; | |
| const root = document.getElementById("stats"); | |
| root.innerHTML = ""; | |
| selected.forEach(([k, v]) => { | |
| const div = document.createElement("div"); | |
| div.className = "stat"; | |
| div.innerHTML = `<div class="k">${k}</div><div class="v">${Number(v).toFixed(3)}</div>`; | |
| root.appendChild(div); | |
| }); | |
| const pillRow = document.getElementById("hero-pills"); | |
| pillRow.innerHTML = ""; | |
| [ | |
| `deanonymization: ${Number(summary.deanonymization_accuracy || 0).toFixed(3)}`, | |
| `avg steps: ${Number(summary.avg_steps_to_solution || 0).toFixed(2)}`, | |
| `episodes: ${(payload.episodes || []).length}` | |
| ].forEach((text) => { | |
| const span = document.createElement("span"); | |
| span.className = "pill"; | |
| span.textContent = text; | |
| pillRow.appendChild(span); | |
| }); | |
| } | |
| function buildTypeFilters(allGroups) { | |
| const root = document.getElementById("type-filters"); | |
| root.innerHTML = ""; | |
| allGroups.forEach((group) => { | |
| const id = `type_${group}`; | |
| const row = document.createElement("label"); | |
| row.className = "inline"; | |
| row.innerHTML = `<input type="checkbox" id="${id}" value="${group}" checked /> <span>${group}</span>`; | |
| root.appendChild(row); | |
| }); | |
| } | |
| function createNetworkController() { | |
| const container = document.getElementById("graph-canvas"); | |
| const banner = document.getElementById("graph-banner"); | |
| const modeSelect = document.getElementById("graph-mode"); | |
| const nodeSearch = document.getElementById("graph-search"); | |
| const relFilter = document.getElementById("relation-filter"); | |
| const fitBtn = document.getElementById("fit-graph"); | |
| const rawLayers = { | |
| canonical: payload.canonical_graph || { nodes: [], edges: [] }, | |
| episode: payload.episode_graph || { nodes: [], edges: [] } | |
| }; | |
| const episodeLayers = payload.episode_graphs || []; | |
| const groupSet = new Set(); | |
| (rawLayers.canonical.nodes || []).forEach((n) => groupSet.add(n.group || "unknown")); | |
| (episodeLayers || []).forEach((layer) => { | |
| (layer.nodes || []).forEach((n) => groupSet.add(n.group || "unknown")); | |
| }); | |
| const allGroups = Array.from(groupSet).sort(); | |
| buildTypeFilters(allGroups); | |
| const state = { | |
| mode: "canonical", | |
| relationQuery: "", | |
| nodeQuery: "", | |
| selectedEpisode: Math.max(0, (payload.episodes || []).length - 1), | |
| }; | |
| function currentEpisodeLayer() { | |
| if (!episodeLayers.length) { | |
| return rawLayers.episode; | |
| } | |
| const idx = Math.max(0, Math.min(episodeLayers.length - 1, Number(state.selectedEpisode || 0))); | |
| return episodeLayers[idx] || rawLayers.episode; | |
| } | |
| const nodesDS = new vis.DataSet([]); | |
| const edgesDS = new vis.DataSet([]); | |
| const network = new vis.Network(container, { nodes: nodesDS, edges: edgesDS }, { | |
| interaction: { hover: true, navigationButtons: true, keyboard: true }, | |
| physics: { stabilization: false, barnesHut: { springLength: 130 } }, | |
| edges: { smooth: true, font: { size: 10 } }, | |
| nodes: { shape: "dot", size: 11, font: { size: 10 } } | |
| }); | |
| function activeGroups() { | |
| const checked = Array.from(document.querySelectorAll('#type-filters input[type="checkbox"]:checked')); | |
| return new Set(checked.map(x => x.value)); | |
| } | |
| function styleNode(node, query) { | |
| const text = `${node.id} ${node.label || ""}`.toLowerCase(); | |
| const hit = query && text.includes(query); | |
| return { | |
| ...node, | |
| color: hit ? "#f59e0b" : undefined, | |
| size: hit ? 18 : 11, | |
| }; | |
| } | |
| function refresh() { | |
| const raw = state.mode === "episode" ? currentEpisodeLayer() : rawLayers.canonical; | |
| const groups = activeGroups(); | |
| const relQ = state.relationQuery.toLowerCase(); | |
| const nodeQ = state.nodeQuery.toLowerCase(); | |
| const nodes = (raw.nodes || []).filter(n => groups.has(n.group || "unknown")).map(n => styleNode(n, nodeQ)); | |
| const nodeIds = new Set(nodes.map(n => n.id)); | |
| const edges = (raw.edges || []).filter(e => nodeIds.has(e.from) && nodeIds.has(e.to)).filter(e => !relQ || String(e.label || "").toLowerCase().includes(relQ)); | |
| nodesDS.clear(); | |
| edgesDS.clear(); | |
| nodesDS.add(nodes); | |
| edgesDS.add(edges); | |
| banner.textContent = state.mode === "canonical" ? "Layer: Canonical Graph" : "Layer: Episode Graph"; | |
| } | |
| modeSelect.addEventListener("change", () => { | |
| state.mode = modeSelect.value; | |
| refresh(); | |
| }); | |
| document.addEventListener("osint-episode-change", (event) => { | |
| state.selectedEpisode = Number(event.detail?.index || 0); | |
| if (state.mode === "episode") { | |
| refresh(); | |
| } | |
| }); | |
| relFilter.addEventListener("input", () => { | |
| state.relationQuery = relFilter.value || ""; | |
| refresh(); | |
| }); | |
| nodeSearch.addEventListener("input", () => { | |
| state.nodeQuery = nodeSearch.value || ""; | |
| refresh(); | |
| }); | |
| fitBtn.addEventListener("click", () => network.fit({ animation: true })); | |
| document.getElementById("type-filters").addEventListener("change", refresh); | |
| network.on("click", (params) => { | |
| if (params.nodes && params.nodes.length) { | |
| const node = nodesDS.get(params.nodes[0]); | |
| const connected = network.getConnectedNodes(node.id) || []; | |
| document.getElementById("node-detail").textContent = JSON.stringify({ | |
| node, | |
| connected_nodes: connected | |
| }, null, 2); | |
| } | |
| if (params.edges && params.edges.length) { | |
| const edge = edgesDS.get(params.edges[0]); | |
| document.getElementById("edge-detail").textContent = JSON.stringify(edge, null, 2); | |
| } | |
| }); | |
| refresh(); | |
| } | |
| function buildRows(views) { | |
| const rows = []; | |
| (views.microblog_posts || []).forEach((x) => rows.push({ source: "microblog", id: x.post_id || "post", text: JSON.stringify(x), raw: x })); | |
| (views.forum_threads || []).forEach((x) => rows.push({ source: "forum", id: x.thread_id || "thread", text: JSON.stringify(x), raw: x })); | |
| (views.profiles || []).forEach((x) => rows.push({ source: "profile", id: x.user_id || "profile", text: JSON.stringify(x), raw: x })); | |
| return rows; | |
| } | |
| function initDatabaseExplorer() { | |
| const rows = buildRows(payload.views || {}); | |
| const tabs = document.getElementById("db-tabs"); | |
| const search = document.getElementById("db-search"); | |
| const limit = document.getElementById("db-limit"); | |
| const table = document.getElementById("db-table"); | |
| const detail = document.getElementById("db-detail"); | |
| const sources = ["all", "microblog", "forum", "profile"]; | |
| const state = { source: "all", query: "", limit: 200 }; | |
| tabs.innerHTML = ""; | |
| sources.forEach((src) => { | |
| const btn = document.createElement("button"); | |
| btn.className = `tab ${src === state.source ? "active" : ""}`; | |
| btn.textContent = src; | |
| btn.addEventListener("click", () => { | |
| state.source = src; | |
| Array.from(tabs.children).forEach((child) => child.classList.remove("active")); | |
| btn.classList.add("active"); | |
| render(); | |
| }); | |
| tabs.appendChild(btn); | |
| }); | |
| function filtered() { | |
| const q = state.query.toLowerCase(); | |
| return rows | |
| .filter((row) => state.source === "all" || row.source === state.source) | |
| .filter((row) => !q || row.text.toLowerCase().includes(q) || row.id.toLowerCase().includes(q)); | |
| } | |
| function render() { | |
| const show = filtered().slice(0, state.limit); | |
| table.innerHTML = "<thead><tr><th>source</th><th>id</th><th>preview</th></tr></thead>"; | |
| const body = document.createElement("tbody"); | |
| show.forEach((row) => { | |
| const tr = document.createElement("tr"); | |
| const preview = row.text.length > 120 ? `${row.text.slice(0, 120)}...` : row.text; | |
| tr.innerHTML = `<td>${row.source}</td><td class="mono">${row.id}</td><td>${preview}</td>`; | |
| tr.addEventListener("click", () => { | |
| detail.textContent = JSON.stringify(row.raw, null, 2); | |
| }); | |
| body.appendChild(tr); | |
| }); | |
| table.appendChild(body); | |
| } | |
| search.addEventListener("input", () => { state.query = search.value || ""; render(); }); | |
| limit.addEventListener("change", () => { state.limit = Number(limit.value || 200); render(); }); | |
| render(); | |
| } | |
| function renderLeaderboard(records, sortBy = "leaderboard_score") { | |
| const sorted = [...records].sort((a, b) => (b.metrics?.[sortBy] || 0) - (a.metrics?.[sortBy] || 0)); | |
| const table = document.getElementById("leaderboard-table"); | |
| table.innerHTML = "<thead><tr><th>rank</th><th>run</th><th>score</th><th>success</th><th>graph_f1</th><th>retrieval</th><th>structural</th><th>spawn</th><th>reward</th></tr></thead>"; | |
| const body = document.createElement("tbody"); | |
| sorted.forEach((rec, i) => { | |
| const m = rec.metrics || {}; | |
| const tr = document.createElement("tr"); | |
| tr.innerHTML = `<td>${i + 1}</td><td>${rec.run_name || rec.run_id || "run"}</td><td>${(m.leaderboard_score || 0).toFixed(4)}</td><td>${(m.task_success_rate || 0).toFixed(3)}</td><td>${(m.avg_graph_f1 || 0).toFixed(3)}</td><td>${(m.retrieval_signal || 0).toFixed(3)}</td><td>${(m.structural_signal || 0).toFixed(3)}</td><td>${(m.spawn_signal || 0).toFixed(3)}</td><td>${(m.avg_reward || 0).toFixed(3)}</td>`; | |
| body.appendChild(tr); | |
| }); | |
| table.appendChild(body); | |
| } | |
| function drawSummaryChart(summary) { | |
| const labels = ["success", "graph_f1", "tool_eff", "deanon", "retrieval", "structural", "score"]; | |
| const values = [ | |
| summary.task_success_rate || 0, | |
| summary.avg_graph_f1 || 0, | |
| summary.tool_efficiency || 0, | |
| summary.deanonymization_accuracy || 0, | |
| summary.retrieval_signal || 0, | |
| summary.structural_signal || 0, | |
| summary.leaderboard_score || 0, | |
| ]; | |
| new Chart(document.getElementById("summary-chart"), { | |
| type: "radar", | |
| data: { | |
| labels, | |
| datasets: [{ | |
| label: "normalized metrics", | |
| data: values, | |
| backgroundColor: "rgba(15,118,110,0.2)", | |
| borderColor: "#0f766e", | |
| pointBackgroundColor: "#d97706", | |
| pointRadius: 3 | |
| }] | |
| }, | |
| options: { responsive: true, maintainAspectRatio: false, scales: { r: { min: 0, max: 1 } } } | |
| }); | |
| } | |
| function drawTraceChart(episodes) { | |
| const labels = episodes.map((_, i) => `ep_${i + 1}`); | |
| const rewards = episodes.map(e => e.reward || 0); | |
| const f1 = episodes.map(e => e.graph_f1 || 0); | |
| new Chart(document.getElementById("trace-chart"), { | |
| type: "line", | |
| data: { | |
| labels, | |
| datasets: [ | |
| { label: "reward", data: rewards, borderColor: "#0f766e", yAxisID: "y", tension: 0.2 }, | |
| { label: "graph_f1", data: f1, borderColor: "#d97706", yAxisID: "y1", tension: 0.2 } | |
| ] | |
| }, | |
| options: { | |
| responsive: true, | |
| maintainAspectRatio: false, | |
| scales: { | |
| y: { position: "left" }, | |
| y1: { position: "right", min: 0, max: 1, grid: { drawOnChartArea: false } } | |
| } | |
| } | |
| }); | |
| } | |
| function initEpisodeExplorer() { | |
| const episodes = payload.episodes || []; | |
| const select = document.getElementById("episode-select"); | |
| const prevBtn = document.getElementById("episode-prev"); | |
| const nextBtn = document.getElementById("episode-next"); | |
| function fillFromEpisode(ep) { | |
| const fallback = payload.task || {}; | |
| const taskId = ep?.task_id || fallback.task_id || "n/a"; | |
| const taskType = ep?.task_type || fallback.task_type || "n/a"; | |
| const question = ep?.question || fallback.question || "n/a"; | |
| const truth = ep?.task_answer ?? fallback.answer ?? "n/a"; | |
| const agent = ep?.agent_answer ?? ""; | |
| const isCorrect = String(agent) === String(truth); | |
| document.getElementById("task-id").textContent = taskId; | |
| document.getElementById("task-type").textContent = taskType; | |
| document.getElementById("task-question").textContent = question; | |
| document.getElementById("task-answer").textContent = truth; | |
| document.getElementById("agent-answer").textContent = agent || "(no answer)"; | |
| const correctEl = document.getElementById("answer-correct"); | |
| correctEl.textContent = isCorrect ? "yes" : "no"; | |
| correctEl.className = isCorrect ? "answer-ok" : "answer-bad"; | |
| } | |
| if (!episodes.length) { | |
| select.innerHTML = "<option value='-1'>latest</option>"; | |
| fillFromEpisode(null); | |
| prevBtn.disabled = true; | |
| nextBtn.disabled = true; | |
| return; | |
| } | |
| select.innerHTML = episodes | |
| .map((ep, idx) => `<option value="${idx}">ep_${idx + 1} | ${ep.task_type || "task"} | reward=${Number(ep.reward || 0).toFixed(3)}</option>`) | |
| .join(""); | |
| select.value = String(Math.max(0, episodes.length - 1)); | |
| function sync(delta = 0) { | |
| const current = Math.max(0, Math.min(episodes.length - 1, Number(select.value || 0) + delta)); | |
| select.value = String(current); | |
| fillFromEpisode(episodes[current]); | |
| document.dispatchEvent(new CustomEvent("osint-episode-change", { detail: { index: current } })); | |
| } | |
| select.addEventListener("change", () => sync(0)); | |
| prevBtn.addEventListener("click", () => sync(-1)); | |
| nextBtn.addEventListener("click", () => sync(1)); | |
| sync(0); | |
| } | |
| const summary = payload.summary || {}; | |
| metricCards(summary); | |
| initEpisodeExplorer(); | |
| createNetworkController(); | |
| initDatabaseExplorer(); | |
| const leaderboard = payload.leaderboard || []; | |
| const leaderSort = document.getElementById("leader-sort"); | |
| renderLeaderboard(leaderboard, leaderSort.value); | |
| leaderSort.addEventListener("change", () => renderLeaderboard(leaderboard, leaderSort.value)); | |
| drawSummaryChart(summary); | |
| drawTraceChart(payload.episodes || []); | |
| </script> | |
| </body> | |
| </html> | |