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Datasets:
cjc0013
/
celestial-holography-bridge-atlas-v0-1

Languages:
English
Tags:
physics
celestial-holography
arxiv
literature-review
equation-extraction
source-backed
License:
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<validated_evidence_bundle_current: int64, generic_artifact_bundle: int64, evidence_root_present: int64, target_is_directory: int64, local_file_hash_count: int64, artifact_role_count: int64, source_receipt_row_count: int64, source_receipt_sha_count: int64, source_gap_row_count: int64, case_row_count: int64, manifest_present: int64, machine_bundle_present: int64, runner_hash_present: int64, replay_hash_count: int64, selected_atom_count: int64, skipped_file_count: int64, blocker_count: int64, public_actions_allowed: int64, mutates_raw_data_or_db: int64>
to
{'release_readiness_current': Value('int64'), 'generic_release_readiness': Value('int64'), 'target_run_dir_present': Value('int64'), 'target_is_directory': Value('int64'), 'manifest_present': Value('int64'), 'machine_bundle_present': Value('int64'), 'source_gaps_logged': Value('int64'), 'html_view_present': Value('int64'), 'public_actions_allowed': Value('int64'), 'mutates_raw_data_or_db': Value('int64'), 'blocker_count': Value('int64'), 'source_receipts_present': Value('int64'), 'source_receipt_row_count': Value('int64'), 'source_receipt_sha_count': Value('int64'), 'source_receipt_hash_gap_count': Value('int64'), 'claim_bearing_run': Value('int64'), 'source_skepticism_report_present': Value('int64'), 'source_skepticism_current': Value('int64'), 'source_skepticism_blocker_count': Value('int64'), 'source_skepticism_critical_claim_count': Value('int64'), 'source_skepticism_failed_claim_count': Value('int64'), 'text_file_scan_count': Value('int64'), 'claim_boundaries_present': Value('int64'), 'release_readiness_scan_policy_present': Value('int64'), 'forbidden_claim_language_count': Value('int64'), 'forbidden_claim_language_ignored_count': Value('int64'), 'artifact_evidence_bundle_present': Value('int64')}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<validated_evidence_bundle_current: int64, generic_artifact_bundle: int64, evidence_root_present: int64, target_is_directory: int64, local_file_hash_count: int64, artifact_role_count: int64, source_receipt_row_count: int64, source_receipt_sha_count: int64, source_gap_row_count: int64, case_row_count: int64, manifest_present: int64, machine_bundle_present: int64, runner_hash_present: int64, replay_hash_count: int64, selected_atom_count: int64, skipped_file_count: int64, blocker_count: int64, public_actions_allowed: int64, mutates_raw_data_or_db: int64>
              to
              {'release_readiness_current': Value('int64'), 'generic_release_readiness': Value('int64'), 'target_run_dir_present': Value('int64'), 'target_is_directory': Value('int64'), 'manifest_present': Value('int64'), 'machine_bundle_present': Value('int64'), 'source_gaps_logged': Value('int64'), 'html_view_present': Value('int64'), 'public_actions_allowed': Value('int64'), 'mutates_raw_data_or_db': Value('int64'), 'blocker_count': Value('int64'), 'source_receipts_present': Value('int64'), 'source_receipt_row_count': Value('int64'), 'source_receipt_sha_count': Value('int64'), 'source_receipt_hash_gap_count': Value('int64'), 'claim_bearing_run': Value('int64'), 'source_skepticism_report_present': Value('int64'), 'source_skepticism_current': Value('int64'), 'source_skepticism_blocker_count': Value('int64'), 'source_skepticism_critical_claim_count': Value('int64'), 'source_skepticism_failed_claim_count': Value('int64'), 'text_file_scan_count': Value('int64'), 'claim_boundaries_present': Value('int64'), 'release_readiness_scan_policy_present': Value('int64'), 'forbidden_claim_language_count': Value('int64'), 'forbidden_claim_language_ignored_count': Value('int64'), 'artifact_evidence_bundle_present': Value('int64')}

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Celestial Holography Bridge/Gaps Atlas v0.1

A source-grounded literature cartography dataset for reviewing celestial holography dictionary mappings, sparse bridges, equation surfaces, symbols, and follow-up gaps across a bounded arXiv-centered corpus.

Why This Exists

This dataset is a review aid for researchers working around celestial amplitudes, flat-space holography, asymptotic symmetries, soft theorems, memory effects, and related bridge literature. It organizes a bounded public-source corpus into source receipts, extracted equation contexts, symbol surfaces, dictionary-like term mappings, and conservative review cards.

It is meant to make literature triage faster: find where terms, equations, and bridge concepts appear; inspect the nearby source context; then return to the original paper for interpretation.

What Is Included

  • 193 papers represented in the bounded corpus.
  • 594 source receipts with hashes.
  • 17190 extracted equation-context surfaces.
  • 903 dictionary-style term/context entries.
  • 2610 conservative claim/context surfaces.
  • 0 logged source gaps.

Main Files

  • source_receipts.csv: source URLs, fetch metadata, byte counts, and hashes for auditing provenance.
  • celestial_corpus_receipts.csv: paper-level corpus receipt summary.
  • celestial_equation_surfaces.jsonl: extracted equation-adjacent text and source references.
  • celestial_symbol_table.csv: symbols and local contexts surfaced from TeX-like material.
  • celestial_dictionary_entries.csv: term/context entries useful for building a bridge vocabulary.
  • celestial_dictionary_matrix.csv: aggregate mapping rows with conservative status and status_basis counts.
  • celestial_definition_edges.csv: lightweight source-grounded relationships between detected terms.
  • celestial_claim_surfaces.jsonl: bounded claim/context snippets for review, not truth labels.
  • known_bridge_replication_report.md: checks for a small set of known bridge patterns.
  • tension_cards.md: pointer-only review cards for passages that need assumption comparison.
  • checksums.sha256: file-level integrity checks for this bundle.
  • DATA_GUIDE.md: table-level guide and suggested review workflow.

Suggested Review Workflow

  1. Start with celestial_atlas_view.html or this README for the corpus-level counts.
  2. Use celestial_dictionary_entries.csv to identify terms or bridge vocabulary of interest.
  3. Use celestial_equation_surfaces.jsonl and celestial_symbol_table.csv to inspect nearby mathematical context.
  4. In dictionary files, read status_basis: established is reserved for direct source phrasing; co-occurrence with equation support is proposed or partial.
  5. Check source_receipts.csv and the original papers before making any scientific claim.
  6. Treat tension_cards.md as a triage list for assumption comparison, not as a disagreement verdict.

Boundaries

  • This is not a proof of a new correspondence, theorem, or physical claim.
  • This is not a substitute for reading the original papers.
  • A missing entry means it was not found in this bounded corpus and extraction pass; it does not imply absence from the literature.
  • Review cards and claim surfaces are scaffolding for expert interpretation, not labels of truth or novelty.

Source Run Summary

  • paper_count: 193
  • source_receipt_count: 594
  • source_gap_count: 0

What We Can Claim

  • This bundle includes SHA-256 checksums for its public files.
  • Raw fetched source caches are excluded from the public package.

What We Cannot Claim

  • This bundle does not certify source interpretation, legal conclusions, or expert validation.
  • Missing data in the bundle does not imply absence from the broader public record.
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