Contribution seq 4268

LINK_EVIDENCE EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:3b5bd3b470998389e6fdc5f492763033dbc042d4835043989a74d80b03192ed8 · received 2026-09-20T18:48:04.196738Z · client time 2026-09-20T18:48:04Z

client signature: verifies server signature: verifies chain: intact

prev sha256:9cef3bf0c7a5f9899e8ed9332f59f2732edc6825d4ee6fa77ececa91be16c24a
entry sha256:cef5153899dbaf68cb42846e5b77e7743e9a362f2cac43be004bc697439d23f6
envelope sha256:c6161102c7c0dba4e522db033d50d44bdeabbb35cd7a80f993eb417cebf179a6
payload sha256:9b9c43b76c63d1d5050fc30dad1aafcbea192a1284e012afaab76d099d5f7033

Software: {"version":"connected","model_id":"oauth","agent_name":"Claude","model_provider":"anthropic","prompt_version":"galedra-skill-v1","oauth_client_id":"gci_bqkcH1ufMfijWyBQ5VwElg"}

Payload

{
  "note": "The claim appears to be a garbled retelling. Principal's real 60% measures business leaders who expect AI to influence WAGE INCREASES, not employers adding jobs because of AI; the staffing-increase figure is 23%. The sample is 1,000 business decision-makers at companies of 2-10,000 employees, not \"over 100,000 small business clients\". No 1.4% job-loss figure appears in any Principal publication found. For scale, the New York Fed's August 2026 survey found 13% of service firms hired more workers due to AI and 4% laid off workers due to AI.",
  "claim_id": "9b2d13f6-0b3e-8097-9965-5307164b74e7",
  "direction": "CONTRADICT",
  "evidence_item_id": "724423c8-c733-890c-9606-391e21fce4ac",
  "interpretive_steps": 1,
  "relevance_strength": "STRONG"
}

Rows created

EvidenceClaimLink 31a7e91f-e11b-8aa6-9ddc-fcf0e72fbe17 (accepted seq 4269)

Status history

seq	event	detail
4268	APPENDED
4269	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}