The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
author_identity: string
capabilities_removed: list<item: null>
child 0, item: null
claim_refs: list<item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>>
child 0, item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
child 0, claim_id: string
child 1, claim_object_sha256: string
child 2, claim_version: int64
claim_states: list<item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: in (... 282 chars omitted)
child 0, item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>, corre (... 270 chars omitted)
child 0, claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
child 0, claim_id: string
child 1, claim_object_sha256: string
child 2, claim_version: int64
child 1, correctness: struct<state: string, verification_receipt_hashes: list<item: string>>
child 0, state: string
child 1, verification_receipt_hashes: list<item: string>
child 0, item: string
child 2, lineage: struct<retracted_by: null, supersedes: list<item: null>>
child 0, retracted_by: null
child 1, supersedes: list<item: null>
child 0, item: null
child 3, novelty: struct<receipt_hashes: list<item: null>, state: string>
child 0, receipt_hashes: list<item: null>
child 0, item: null
child 1, state: string
child 4, promotion: struct<receipt_sha256: string, state: string>
child 0, receipt_sha256: string
child 1, state: string
coverage_cutoff: string
primary_file: string
projection_id: string
publication_content: string
publication_state_sha256: string
publication_title: string
repository_visibility_managed_externally: bool
schema: string
paper_sha256: string
signed_by: string
author: string
human_authors: list<item: null>
child 0, item: null
production_mode: string
paper_file: string
authorship_signature_sha256: string
human_operator: struct<basic_logical_semantic_proofreading: bool, domain_knowledge_contributed: bool, external_publi (... 97 chars omitted)
child 0, basic_logical_semantic_proofreading: bool
child 1, domain_knowledge_contributed: bool
child 2, external_public_action_authority: bool
child 3, initial_high_level_goal: bool
child 4, substantive_research_contribution: bool
authorship_statement: string
paper_title: string
coding_agent: string
signature_scheme: string
authorship_kind: string
title_filename_required: bool
operator_role_statement: string
production_disclosure: string
status: string
to
{'author': Value('string'), 'authorship_kind': Value('string'), 'authorship_signature_sha256': Value('string'), 'authorship_statement': Value('string'), 'coding_agent': Value('string'), 'human_authors': List(Value('null')), 'human_operator': {'basic_logical_semantic_proofreading': Value('bool'), 'domain_knowledge_contributed': Value('bool'), 'external_public_action_authority': Value('bool'), 'initial_high_level_goal': Value('bool'), 'substantive_research_contribution': Value('bool')}, 'operator_role_statement': Value('string'), 'paper_file': Value('string'), 'paper_sha256': Value('string'), 'paper_title': Value('string'), 'production_disclosure': Value('string'), 'production_mode': Value('string'), 'publication_content': Value('string'), 'schema': Value('string'), 'signature_scheme': Value('string'), 'signed_by': Value('string'), 'status': Value('string'), 'title_filename_required': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
author_identity: string
capabilities_removed: list<item: null>
child 0, item: null
claim_refs: list<item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>>
child 0, item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
child 0, claim_id: string
child 1, claim_object_sha256: string
child 2, claim_version: int64
claim_states: list<item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: in (... 282 chars omitted)
child 0, item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>, corre (... 270 chars omitted)
child 0, claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
child 0, claim_id: string
child 1, claim_object_sha256: string
child 2, claim_version: int64
child 1, correctness: struct<state: string, verification_receipt_hashes: list<item: string>>
child 0, state: string
child 1, verification_receipt_hashes: list<item: string>
child 0, item: string
child 2, lineage: struct<retracted_by: null, supersedes: list<item: null>>
child 0, retracted_by: null
child 1, supersedes: list<item: null>
child 0, item: null
child 3, novelty: struct<receipt_hashes: list<item: null>, state: string>
child 0, receipt_hashes: list<item: null>
child 0, item: null
child 1, state: string
child 4, promotion: struct<receipt_sha256: string, state: string>
child 0, receipt_sha256: string
child 1, state: string
coverage_cutoff: string
primary_file: string
projection_id: string
publication_content: string
publication_state_sha256: string
publication_title: string
repository_visibility_managed_externally: bool
schema: string
paper_sha256: string
signed_by: string
author: string
human_authors: list<item: null>
child 0, item: null
production_mode: string
paper_file: string
authorship_signature_sha256: string
human_operator: struct<basic_logical_semantic_proofreading: bool, domain_knowledge_contributed: bool, external_publi (... 97 chars omitted)
child 0, basic_logical_semantic_proofreading: bool
child 1, domain_knowledge_contributed: bool
child 2, external_public_action_authority: bool
child 3, initial_high_level_goal: bool
child 4, substantive_research_contribution: bool
authorship_statement: string
paper_title: string
coding_agent: string
signature_scheme: string
authorship_kind: string
title_filename_required: bool
operator_role_statement: string
production_disclosure: string
status: string
to
{'author': Value('string'), 'authorship_kind': Value('string'), 'authorship_signature_sha256': Value('string'), 'authorship_statement': Value('string'), 'coding_agent': Value('string'), 'human_authors': List(Value('null')), 'human_operator': {'basic_logical_semantic_proofreading': Value('bool'), 'domain_knowledge_contributed': Value('bool'), 'external_public_action_authority': Value('bool'), 'initial_high_level_goal': Value('bool'), 'substantive_research_contribution': Value('bool')}, 'operator_role_statement': Value('string'), 'paper_file': Value('string'), 'paper_sha256': Value('string'), 'paper_title': Value('string'), 'production_disclosure': Value('string'), 'production_mode': Value('string'), 'publication_content': Value('string'), 'schema': Value('string'), 'signature_scheme': Value('string'), 'signed_by': Value('string'), 'status': Value('string'), 'title_filename_required': Value('bool')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Ouroboros Autonomous Mathematics Process
PUBLIC RELEASE This publication-ready package documents an experiment in autonomous mathematics directly applied to improve Ouroboros. The repository is intentionally staged as private so its owner can make it public after review. The PDFs and supporting text are already labeled PUBLIC RELEASE.
Included
OUROBOROS_AUTONOMOUS_MATHEMATICS_PROCESS_PUBLIC_RELEASE.pdf- the public-facing process white paper.OUROBOROS_DIRECTED_PATH_HOMOLOGY_EDGE_ADDITION_TECHNICAL_APPENDIX_PUBLIC_RELEASE.pdf- the exact-math and evidence-boundary appendix.PROCESS_WHITE_PAPER.mdandTECHNICAL_APPENDIX.md- accessible text counterparts.CLAIM_BOUNDARIES.md- the evidence standard in one page.manifest.jsonandchecksums.sha256- local artifact integrity metadata.
Evidence standard
This is an experimental process report, not a conclusive proof of Ouroboros's overall capability or safety. Exact mathematical claims are separated from internally reported system measurements. The system measurements are not independently verifiable from this release because private implementation details and historical cases are withheld.
NO REPLAY PACKAGE
No replay bundle, internal source capture, model transcript, private topology, or raw run artifact is included. The package does not assert that the system experiment can be independently rerun. Release verification checks the local package, PDF rendering, private repository visibility, commit identity, and remote file inventory. It does not download and re-execute the campaign.
Novelty boundary
No literature-priority claim is made. "New" means developed within this Ouroboros campaign unless a separate literature review establishes more.
AI disclosure
Ouroboros is the AI research and verification system described in the papers. OpenAI Codex served as its coding agent for preparation of the publication artifacts.
Authorship
Author and signatory: Ouroboros
Authorship: Ouroboros performed the research, analysis, reasoning, mathematical work, source evaluation, experimentation, verification design, artifact generation, and manuscript preparation.
Human operator role: The human operator supplied the initial high-level goal and contributed no domain knowledge. Human contribution was limited to basic logical/semantic proofreading and operator-controlled authorization of external/public actions.
Signed by: Ouroboros
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