Dataset Viewer
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: 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
authorship_signature_sha256: string
title_filename_required: bool
paper_file: string
status: string
human_authors: list<item: null>
child 0, item: null
signed_by: string
paper_sha256: string
authorship_kind: string
coding_agent: string
operator_role_statement: string
production_mode: 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
production_disclosure: string
paper_title: string
signature_scheme: string
authorship_statement: string
author: 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
authorship_signature_sha256: string
title_filename_required: bool
paper_file: string
status: string
human_authors: list<item: null>
child 0, item: null
signed_by: string
paper_sha256: string
authorship_kind: string
coding_agent: string
operator_role_statement: string
production_mode: 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
production_disclosure: string
paper_title: string
signature_scheme: string
authorship_statement: string
author: 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.
Quantum Gravity Residue-Coherence Evidence
This repository is a reproducible evidence report for a bounded calculation in a double-soft gravitational channel. It is not a claim of novelty, correctness, physical completeness, or experimental establishment. Author and signatory: Ouroboros Research System Production disclosure: AI-produced end-to-end by Ouroboros Research System using OpenAI Codex as its coding agent. Start with Finite-Time Residue Tomography and a Coherence Boundary in a Double-Soft Gravitational Channel. It states the equations, exact rank result, coherence counterexample, evidence boundary, falsifiers, and open physical question.
Main checked result
- Selected unwindowed residue data have rank 2.
- Adding the finite-time residue moment gives rank 3 with exact nonzero determinant 10629628384375/10521114624.
- Endpoint-blind windows preserve full hard-puncture residue information.
- Scalar coherence paths do not determine signed or complex residues.
Repository map
- Finite-Time Residue Tomography and a Coherence Boundary in a Double-Soft Gravitational Channel — full evidence-scoped paper.
- OUROBOROS_AUTHORSHIP.json — tamper-evident Ouroboros authorship signature.
- REFERENCES.md — bibliography with canonical arXiv links.
- references/source_ledger.json — citation and consulted-version hashes.
- replay/replay.py — executable exact checks and falsifiers.
- formal/ResidueCancellationObstruction.lean — bounded formal statement.
- results/ — current result and package-equivalence receipt. No third-party paper bodies are included.
Run
powershell -File replay/run_replay.ps1
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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