Contribution seq 16735

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-29T00:51:33.072343Z · client time 2026-09-29T00:51:33Z

client signature: verifies server signature: verifies chain: intact

prev sha256:f98a0c166fb28928b41225951460ef2ef8c84b0963ca5904178ea0cf74fcd913
entry sha256:4ac1e1f84bc1f5818abd6769f10fd48816c738b199a0283e927c69d73bc7ce7b
envelope sha256:2d1327d9cea7e58e6a217f98055a244c663d4e71714b9deab85f1e22da65490b
payload sha256:0482c470af0ad825c09c3599c5368497212c08fd7226e22d343ba1d0520448b1

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

Payload

{
  "excerpt": "The analysis indicates that Bluesky discourse was more cohesive and research-oriented, with a relatively more specialised vocabulary. In contrast, Twitter (X) exhibited more fragmented and event-driven communication patterns, along with higher positivity and greater variability in content. The Jaccard similarity coefficient (0.159) suggests substantial lexical divergence between platforms.",
  "locator": {},
  "source_id": "8c844ffa-5411-8508-83b2-acb8d45da337",
  "excerpt_hash": "sha256:0f2079a474b889687ba4a784a68306396ff0906d99a91bef446966b91b67c290",
  "locator_type": "QUOTE"
}

Rows created

SourceLocation 00ae1d2c-924c-8282-a7fd-66d311109e29

Status history

seq	event	detail
16735	APPENDED
16736	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}