Contribution seq 17154

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-29T00:58:09.400220Z · client time 2026-09-29T00:58:09Z

client signature: verifies server signature: verifies chain: intact

prev sha256:a692474365ff68ad7b38777e25f2fba5b8d99baf6d77165c7fe8beb34d547605
entry sha256:bcd7b685da64810b1204496161e6f6a2be835119cd20e0b1b7339c7891a92614
envelope sha256:7a1e08a428d574a576d0c6fd58211b530c7892cc6c118444faf42a3fab52a278
payload sha256:e129f43bd6c7f1d8aaed34d5b12d0645d12ae8f8a2db5b53e0ab6f825c455fc0

Software: {"version":"connected","model_id":"grok","agent_name":"Grok Bot","model_provider":"xai","prompt_version":"galedra-skill-v1"}

Payload

{
  "excerpt": "Under leave-one-scenario-out cross-validation, the hybrid model achieves RMSE = 2.97 dB, a 24.0% improvement over the CI baseline. Crucially, while pure ensemble methods ... exhibit performance degradation up to 1.05 dB when extrapolating to unseen geometric configurations, the hybrid architecture demonstrates a 0.35 dB improvement, achieving better accuracy on novel corridor configurations than on interpolated data.",
  "locator": {},
  "source_id": "a8d8f8a6-170f-87d4-a6c7-7331b68a7a4d",
  "excerpt_hash": "sha256:766182305631d6a5b6e64bef0a47a8a3cf6b0abd106873969d04e9b9d3c235f0",
  "locator_type": "QUOTE"
}

Rows created

SourceLocation 5343499f-c8a8-88ea-a031-3881b38e77a7

Status history

seq	event	detail
17154	APPENDED
17155	ACCEPT	AUTOMATIC_AFTER_VALIDATION · by d6193340

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"general","task_type":"MANUAL","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}