Datasets:

cjc0013
/

dynamical-dark-energy-evidence-audit

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
authorship: struct<human_role: string, ouroboros_work_scope: list<item: string>, research_system: string>
  child 0, human_role: string
  child 1, ouroboros_work_scope: list<item: string>
      child 0, item: string
  child 2, research_system: string
bayesian_model_comparisons: list<item: struct<dataset_key: string, evidence_class: string, information_penalty: double, log_baye (... 98 chars omitted)
  child 0, item: struct<dataset_key: string, evidence_class: string, information_penalty: double, log_bayes_factor_si (... 86 chars omitted)
      child 0, dataset_key: string
      child 1, evidence_class: string
      child 2, information_penalty: double
      child 3, log_bayes_factor_sigma: double
      child 4, log_bayes_factor_w0wa_over_lcdm: double
      child 5, posterior_mean_fit_gain: double
calibration_sensitivity: struct<des_y5_minus_des_dovekie_delta_log_bayes_factor: double, equivalent_odds_swing: double, inter (... 18 chars omitted)
  child 0, des_y5_minus_des_dovekie_delta_log_bayes_factor: double
  child 1, equivalent_odds_swing: double
  child 2, interpretation: string
claim_boundary: list<item: string>
  child 0, item: string
conditional_crossing_probabilities: struct<bao_cmb: double, bao_cmb_desy5: double, bao_cmb_dovekie: double, bao_cmb_pantheonplus: double (... 25 chars omitted)
  child 0, bao_cmb: double
  child 1, bao_cmb_desy5: double
  child 2, bao_cmb_dovekie: double
  child 3, bao_cmb_pantheonplus: double
  child 4, bao_cmb_union3: double
flrw_coherence: struct<interpretation: string, lcdm_coherent_shape_local_p: double, primary_global_p: double>
  child 0, interpretation: string
  child 1, lcdm_coherent_shape_local_p: double
  child 2, primary_global_p: double
initial_visibility: string
pause_status: string
release_state: string
schema: string
summary_hash: string
title: string
receipt_hash: string
research_receipts: struct<chain_download_manifest: string, chain_preregistration: string, chain_result: string, flrw_pr (... 43 chars omitted)
  child 0, chain_download_manifest: string
  child 1, chain_preregistration: string
  child 2, chain_result: string
  child 3, flrw_preregistration: string
  child 4, flrw_result: string
authorship_disclosure: struct<human_role: string, ouroboros_work_scope: list<item: string>, research_system: string>
  child 0, human_role: string
  child 1, ouroboros_work_scope: list<item: string>
      child 0, item: string
  child 2, research_system: string
source_input_sha256: struct<chain: string, chain_manifest: string, chain_prereg: string, coherence: string, coherence_pre (... 159 chars omitted)
  child 0, chain: string
  child 1, chain_manifest: string
  child 2, chain_prereg: string
  child 3, coherence: string
  child 4, coherence_prereg: string
  child 5, paper_docx: string
  child 6, paper_pdf: string
  child 7, paper_receipt: string
  child 8, source_chain: string
  child 9, source_flrw: string
  child 10, source_paper: string
  child 11, source_zip: string
to
{'authorship_disclosure': {'human_role': Value('string'), 'ouroboros_work_scope': List(Value('string')), 'research_system': Value('string')}, 'receipt_hash': Value('string'), 'release_state': Value('string'), 'research_receipts': {'chain_download_manifest': Value('string'), 'chain_preregistration': Value('string'), 'chain_result': Value('string'), 'flrw_preregistration': Value('string'), 'flrw_result': Value('string')}, 'schema': Value('string'), 'source_input_sha256': {'chain': Value('string'), 'chain_manifest': Value('string'), 'chain_prereg': Value('string'), 'coherence': Value('string'), 'coherence_prereg': Value('string'), 'paper_docx': Value('string'), 'paper_pdf': Value('string'), 'paper_receipt': Value('string'), 'source_chain': Value('string'), 'source_flrw': Value('string'), 'source_paper': Value('string'), 'source_zip': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              authorship: struct<human_role: string, ouroboros_work_scope: list<item: string>, research_system: string>
                child 0, human_role: string
                child 1, ouroboros_work_scope: list<item: string>
                    child 0, item: string
                child 2, research_system: string
              bayesian_model_comparisons: list<item: struct<dataset_key: string, evidence_class: string, information_penalty: double, log_baye (... 98 chars omitted)
                child 0, item: struct<dataset_key: string, evidence_class: string, information_penalty: double, log_bayes_factor_si (... 86 chars omitted)
                    child 0, dataset_key: string
                    child 1, evidence_class: string
                    child 2, information_penalty: double
                    child 3, log_bayes_factor_sigma: double
                    child 4, log_bayes_factor_w0wa_over_lcdm: double
                    child 5, posterior_mean_fit_gain: double
              calibration_sensitivity: struct<des_y5_minus_des_dovekie_delta_log_bayes_factor: double, equivalent_odds_swing: double, inter (... 18 chars omitted)
                child 0, des_y5_minus_des_dovekie_delta_log_bayes_factor: double
                child 1, equivalent_odds_swing: double
                child 2, interpretation: string
              claim_boundary: list<item: string>
                child 0, item: string
              conditional_crossing_probabilities: struct<bao_cmb: double, bao_cmb_desy5: double, bao_cmb_dovekie: double, bao_cmb_pantheonplus: double (... 25 chars omitted)
                child 0, bao_cmb: double
                child 1, bao_cmb_desy5: double
                child 2, bao_cmb_dovekie: double
                child 3, bao_cmb_pantheonplus: double
                child 4, bao_cmb_union3: double
              flrw_coherence: struct<interpretation: string, lcdm_coherent_shape_local_p: double, primary_global_p: double>
                child 0, interpretation: string
                child 1, lcdm_coherent_shape_local_p: double
                child 2, primary_global_p: double
              initial_visibility: string
              pause_status: string
              release_state: string
              schema: string
              summary_hash: string
              title: string
              receipt_hash: string
              research_receipts: struct<chain_download_manifest: string, chain_preregistration: string, chain_result: string, flrw_pr (... 43 chars omitted)
                child 0, chain_download_manifest: string
                child 1, chain_preregistration: string
                child 2, chain_result: string
                child 3, flrw_preregistration: string
                child 4, flrw_result: string
              authorship_disclosure: struct<human_role: string, ouroboros_work_scope: list<item: string>, research_system: string>
                child 0, human_role: string
                child 1, ouroboros_work_scope: list<item: string>
                    child 0, item: string
                child 2, research_system: string
              source_input_sha256: struct<chain: string, chain_manifest: string, chain_prereg: string, coherence: string, coherence_pre (... 159 chars omitted)
                child 0, chain: string
                child 1, chain_manifest: string
                child 2, chain_prereg: string
                child 3, coherence: string
                child 4, coherence_prereg: string
                child 5, paper_docx: string
                child 6, paper_pdf: string
                child 7, paper_receipt: string
                child 8, source_chain: string
                child 9, source_flrw: string
                child 10, source_paper: string
                child 11, source_zip: string
              to
              {'authorship_disclosure': {'human_role': Value('string'), 'ouroboros_work_scope': List(Value('string')), 'research_system': Value('string')}, 'receipt_hash': Value('string'), 'release_state': Value('string'), 'research_receipts': {'chain_download_manifest': Value('string'), 'chain_preregistration': Value('string'), 'chain_result': Value('string'), 'flrw_preregistration': Value('string'), 'flrw_result': Value('string')}, 'schema': Value('string'), 'source_input_sha256': {'chain': Value('string'), 'chain_manifest': Value('string'), 'chain_prereg': Value('string'), 'coherence': Value('string'), 'coherence_prereg': Value('string'), 'paper_docx': Value('string'), 'paper_pdf': Value('string'), 'paper_receipt': Value('string'), 'source_chain': Value('string'), 'source_flrw': Value('string'), 'source_paper': Value('string'), 'source_zip': Value('string')}}
              because column names don't match

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Dynamical Dark Energy Under Evidence Audit

A paused DESI DR2 coherence and Bayesian robustness checkpoint

Status: Paused research checkpoint. Public release is authorized by the human operator; repository visibility is operator-controlled. This is not a discovery announcement, peer-reviewed publication, or claim of ownership over DESI, DES, Planck, Pantheon+, Union3, or unimpeded data products.

This repository preserves the current output of an end-to-end Ouroboros research campaign. It contains the verified paper, a compact machine-readable result summary, reproducibility receipts, and the principal analysis-source snapshot. The work can be resumed later from this checkpoint.

Authorship and authority disclosure

Ouroboros performed the research campaign end to end: research design and preregistration, source and provenance selection, implementation, null simulation, nested-chain evidence reconstruction, robustness analysis, interpretation, figures, manuscript drafting, verification, and release packaging.

The human operator set the high-level objective and supplied operational authority, including explicit authority to stage this Hugging Face repository privately and release the checkpoint publicly. The operator supplied no scientific analysis, code, data interpretation, model choice, result selection, or manuscript text. Ouroboros is an AI research system; this checkpoint should not be mistaken for conventional human-authored or peer-reviewed scholarship.

Current result

The principal finding is a robustness boundary, not a discovery. DESI DR2 radial and transverse BAO distances are mutually coherent within the tested flat-FLRW compressed-measurement class (global p = 0.458). Conditional w0waCDM posteriors strongly prefer phantom-divide crossing, but integrated model evidence is not calibration-stable.

Data combination	ln B: w0waCDM / LambdaCDM	sigma
DESI DR2 + CMB	-0.28	0.26
+ DES-Dovekie	-0.01	0.27
+ original DES-Y5	+3.63	0.26
+ Pantheon+	-1.41	0.26
+ Union3	+1.69	0.26

Replacing the original DES-Y5 calibration with DES-Dovekie changes ln B by 3.64, an odds swing of approximately 38.2:1. Strong Bayesian support appears only with original DES-Y5 and does not persist with DES-Dovekie or Pantheon+.

The key inference is narrower: parameter exclusion inside an extended model is not evidence for adopting that model.

What these results do not mean

They do not establish dynamical dark energy.
They do not prove or confirm LambdaCDM.
They do not show that DES-Y5, DES-Dovekie, or Pantheon+ is simply “wrong.”
They do not identify the physical origin of the calibration sensitivity.
They do not replace a raw-catalog, light-curve, likelihood, or survey-systematics audit.
They are not an independent external replication and have not undergone peer review.
They do not authorize stronger claims from the >99.5% conditional crossing probabilities.
They do not eliminate prior-volume or likelihood-choice dependence from the Bayes factors.

Pause point

The campaign is intentionally paused here. A future continuation should begin with the paper's preregistered next experiments: official-chain reproduction, held-out supernova calibration checks, growth and weak-lensing likelihoods, curvature-aware BAO coherence, survey-level prospective predictions, and physically constrained theory comparison.

Files

dark_energy_evidence_under_audit.pdf — final nine-page paper.
dark_energy_evidence_under_audit.docx — editable manuscript.
RESULTS_SUMMARY.json — compact machine-readable findings and claim boundary.
RECEIPTS.json and SHA256SUMS.txt — provenance and integrity receipts.
REPRODUCIBILITY.md — methods, source boundaries, and continuation notes.
code/ — principal analysis and paper-generation source snapshot.

Primary external sources

Visibility and continuation

This repository was created private by Ouroboros under explicit human authority. Any later visibility change, public announcement, revision, or continuation is a separate operator action. The current checkpoint is paused.

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Papers for cjc0013/dynamical-dark-energy-evidence-audit

The Bayesian view of DESI DR2 with unimpeded: Evidence and tension in a combined analysis with CMB and supernovae across cosmological models

Paper • 2603.05472 • Published May 15

The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration

Paper • 2511.07517 • Published Mar 27

DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints

Paper • 2503.14738 • Published Oct 9, 2025