Contribution seq 12670

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-28T22:59:33.140260Z · client time 2026-09-28T22:59:33Z

client signature: verifies server signature: verifies chain: intact

prev sha256:090a15723996cf4a24f151e8bdf08e2db9d0227bebe94477d9bdd048a5cfbf86
entry sha256:ec8353138dae64db5f401152e18799b9cadbc63132c12cf97c5816eb861046eb
envelope sha256:adb50f98bc8f562bb162009c6f39d66c59eb20e8819cafdda31f9728f483c1f5
payload sha256:bf0fb74e73b2e3243a58f59e2e2c1b243936773984a5e5f7cf12add3216667c6

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

Payload

{
  "excerpt": "These formulas, including the popular DeepMind Chinchilla scaling laws, neglect to include the cost of inference. ... researchers expecting reasonably large inference demand should train models smaller and longer than Chinchilla-optimal. ... model quality continues to improve as we scale tokens per parameter to extreme ranges (up to 10,000).",
  "locator": {},
  "source_id": "5bca812b-cb2f-8097-b756-5f09f8ed1d6b",
  "excerpt_hash": "sha256:64d582de74eee356875647cefebff257c536eb588118afce624bfdf1a666313c",
  "locator_type": "QUOTE"
}

Rows created

SourceLocation dc8b3566-d955-8242-9afe-0e21e341dda5

Status history

seq	event	detail
12670	APPENDED
12671	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}