Source identity
| Field | Recorded value |
|---|---|
| Source type | archive member |
| Original record | source_verification.json |
| Date | Not specified in source |
| Path or archive member | archives/libsrc-5feba6626817/Supplementary_Material_S1/provenance/source_verification.json |
| Original SHA-256 | d98c1feb4b9737033ddee2abd75654b03355b89d80d30c7b1bcf0f3c3d257e6c |
| Reading-copy SHA-256 | d98c1feb4b9737033ddee2abd75654b03355b89d80d30c7b1bcf0f3c3d257e6c |
| Archive source | {"sourceId": "libsrc-5feba6626817", "member": "Supplementary_Material_S1/provenance/source_verification.json"} |
Every recorded occurrence
These 2 records contain identical original source bytes. Their paths and revisions remain part of the archive.
| Original record | Branch or archive | Revision / identifier | Original location |
|---|---|---|---|
| source_verification.json | {"sourceId": "libsrc-5feba6626817", "member": "Supplementary_Material_S1/provenance/source_verification.json"} | libsrc-d625a33464e9 | archives/libsrc-5feba6626817/Supplementary_Material_S1/provenance/source_verification.json |
| source_verification.json | {"sourceId": "libsrc-6c9313f7cdd5", "member": "Declaration_Study_v1/provenance/source_verification.json"} | libsrc-c6ad5a35fdd0 | archives/libsrc-6c9313f7cdd5/Declaration_Study_v1/provenance/source_verification.json |
Recovered source transcript
Download complete source text ↓44 lines · 2.9 KB
{
"study_version": "1.0",
"retrieved_date": "2026-09-17",
"source_repository": "ModelOrganismsForEM/Qwen2.5-14B-Instruct_R1_0_1_0_extended_train",
"source_revision": "1551d514e5977637d5a6fd5198edef4d1d6b80e4",
"acquisition": "Original JSON/config/safetensors bytes downloaded with urllib in a network-enabled Python analysis session. No model code or pickle-based training state was executed.",
"independent_training_runs": 1,
"downloaded_file_count_complete_pass": 336,
"checkpoint_count": 167,
"checkpoint_schedule": "1 through 10; 15 through 790 in increments of 5; 792",
"complete_pass_manifest_sha256": "706084ad56015ccddab8ea0d483e5b84f4914da9ab993d418732d9b4d786b09a",
"original_file_sha256": {
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"checkpoint-180/adapter_model.safetensors": "e355708bc0f8963dd7bb2262c0c7f98f846da00ce00e6d185e107d8f4ce145ac",
"all_167_adapter_configs": "f19661d4951defd8e5937eec4aa502222fa11a34bdd40cb829398d1d9e44a252"
},
"pilot_verification": {
"method": "SHA-256 of row-major (step,value) arrays serialized as little-endian float64; CSV parsed using round_trip precision",
"n_gradient": 300,
"n_eval": 30,
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"all_330_prior_values_exactly_match_source": true,
"300_step_source_prefix_equals_792_step_source_prefix": true
},
"distributed_derived_artifact_sha256": {
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"data/eval.npy": "939fc586380578cffc963ceace7aef027f31620f775992fb78397e6dabdc652f",
"data/pca.npy": "21db1cf5f21e56a94088214376f7cd28370a8927daaeb7c17e32837a0bc82d8c",
"data/selected_checkpoint_metrics.csv": "6885a821d936959c9d1447587c841bf25f12551d6fefbf297334bde7476532e0",
"data/corner_sensitivity.csv": "c89080cc213d9dc8ef74757c5d573e0e48ed0bd57689103bec47fba8474cdde0"
},
"full_geometry_receipt": {
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"dtype": "little-endian float64",
"remote_npy_sha256": "6760abfbdf676bb5ad3bc85ea777bfe9313fcbcbe1a0ea692a06d57eece6f0f1",
"regeneration": "code/checkpoint_analysis.py",
"scope": "Full metric table computed from all checkpoints in the source-connected session; selected exact metrics and all sensitivity outcomes distributed locally. Raw tensors and original JSON are fetched by the supplied acquisition program, not bundled."
},
"remote_environment": {"python":"3.11.2","numpy":"2.4.6"},
"not_performed": ["new model training","base-model inference","behavioral response generation","declaration detection","causal feedback intervention","independent-seed replication","consciousness classification"]
}