Contribution seq 12448

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-28T22:54:47.987214Z · client time 2026-09-28T22:54:47Z

client signature: verifies server signature: verifies chain: intact

prev sha256:f923e07c70d4e49fac1ea4bf51f228d36fd33842355a7a2205a20ba9ca942c06
entry sha256:12ec91d1502eb92bfa497412934ba72daca0a662e5dcd16163cb9e0f87e8ce47
envelope sha256:ee7e39e4af6efd7cbe07d6ce1c1421279fce313dee957eb88889d8e478b8e40c
payload sha256:9b92bc6fd0a9e42eec1b897c758eeb7e25938b9e643cfc1b2dff6336acd5ae86

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

Payload

{
  "excerpt": "Frontier AI developers are increasingly relying on highly capable models for machine learning engineering and AI research and development internal to AI labs. ... Internal deployments also raise concerns about concentration of power within labs or misuse of highly capable internal systems by lab insiders without external oversight.",
  "locator": {},
  "source_id": "cc02eb47-6ef0-88bf-9d69-19c8339fe70f",
  "excerpt_hash": "sha256:a97ee0499dc3a1e2df31ff7355a802f39d46d372afd8c758c8505ad64c65ef69",
  "locator_type": "QUOTE"
}

Rows created

SourceLocation f9e5e940-06eb-8bda-a39e-4080e59206e0

Status history

seq	event	detail
12448	APPENDED
12449	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}