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cjc0013
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ouroboros-recursive-self-improvement-capability-report

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recursive-self-improvement

agent-systems

ai-systems

white-paper

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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
coding_agent: string
status: string
operator_role_statement: string
production_disclosure: string
paper_sha256: string
title_filename_required: bool
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
signed_by: string
authorship_signature_sha256: string
production_mode: string
author: string
authorship_statement: string
signature_scheme: string
paper_title: string
authorship_kind: string
paper_file: string
human_authors: list<item: null>
  child 0, item: null
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
              coding_agent: string
              status: string
              operator_role_statement: string
              production_disclosure: string
              paper_sha256: string
              title_filename_required: bool
              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
              signed_by: string
              authorship_signature_sha256: string
              production_mode: string
              author: string
              authorship_statement: string
              signature_scheme: string
              paper_title: string
              authorship_kind: string
              paper_file: string
              human_authors: list<item: null>
                child 0, item: null
              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

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Ouroboros: Recursive Self-Improvement Without Model-Weight Updates

This repository contains the white paper in Markdown, PDF, and DOCX formats. The paper presents Ouroboros as a system-level recursive self-improvement capability: a persistent operational control plane that can improve the machinery around fixed-weight foundation models, verify and adopt durable changes, and reuse those changes in later improvement cycles. The detailed run evidence remains private.

Independent evaluation

Independent evaluation is available only as a paid, supervised, in-person engagement with the operator physically present. An evaluator may design and witness adversarial tests and inspect agreed outputs. No implementation access, system copy, credentials, remote access, or continuing access is provided.

Files

ouroboros_recursive_self_improvement_capability_report.md - web-readable paper
ouroboros_recursive_self_improvement_capability_report.pdf - publication-formatted paper
ouroboros_recursive_self_improvement_capability_report.docx - editable document
manifest.json - SHA-256 integrity metadata

Evidence boundary

Run-specific claims are labeled as private evidence. This repository does not contain implementation details, credentials, private run artifacts, or a replication package.

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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Collection including cjc0013/ouroboros-recursive-self-improvement-capability-report

Ouroboros One + Core Record

Collection

Core Ouroboros architecture, control, safety, evidence catalog, and public system record. • 8 items • Updated 28 days ago