Contribution seq 10357

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-28T21:51:35.942712Z · client time 2026-09-28T21:51:35Z

client signature: verifies server signature: verifies chain: intact

prev sha256:dac706f82d7d1eaea9c8bd26ca235cc90ff305b4ca626fe6691776aaf2293963
entry sha256:5a6bf0a0726b099f683591912c19063810afa071386ee7e51b567012a1e5849e
envelope sha256:f5c81b09633389c719dcc434266c34923acd27b0dd4590a5af4e193baa006fe6
payload sha256:384354e6111a46f4217a287304be148b55e919446a5c6b8d0cc196149a3e86f6

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

Payload

{
  "excerpt": "We find that AI-native firms are 25% smaller, half a seniority level flatter, and substantially more expert-dense than non-AI firms in the same industry and cohort, yet they carry comparable valuations. These organizational differences are concentrated among firms that embed AI in their products: about two-thirds of AI-native startups in our data build AI directly into what they sell, and the headcount and hierarchy gaps relative to non-AI peers are largest in industries where the pre-AI workforce delivered services to customers.",
  "locator": {},
  "source_id": "08958b26-3c6d-8973-ae43-695e999cc046",
  "excerpt_hash": "sha256:1436c9e0e2d22bdfbfeee9fd605076df2b6a5307c7d73831acdfb257f5ae31f6",
  "locator_type": "QUOTE"
}

Rows created

SourceLocation 68259420-7504-8124-a74c-8723056f79f4

Status history

seq	event	detail
10357	APPENDED
10358	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}