{"_canonicalization":{"envelope_id":"axm_ + sha256(envelope minus {signature, axiom_id, anchors})","envelope_signature":"ed25519(envelope minus {signature, axiom_id})","json":"sort_keys=True, separators=(',',':'), ensure_ascii=False, allow_nan=False, utf-8","leaf_hash":"sha256(0x00 || canonical_json(envelope_full))","seal_signature":"ed25519(seal minus {signature, sig_algorithm})"},"axiom_id":"axm_b6758bf3a884b1f575e88f8d07ad21fe7d66ee03a445aeaa28e41eaec9577c09","bitcoin_anchor":{"bitcoin_attestations":[],"calendar_attestations":[],"ots_url":"","stamped_at":"","status":"pending_next_stamp"},"envelope":{"anchors":[{"chain":"crovia.axiom_graph","height":0,"merkle_proof":"spider_court_dockets_v1","root_at_anchor":"spider_court_dockets_v1"}],"axiom_id":"axm_b6758bf3a884b1f575e88f8d07ad21fe7d66ee03a445aeaa28e41eaec9577c09","axiom_type":"AX.OBS","body":{"axiom_subtype":"legal.court_dockets.v1","category":"legal","fingerprint":"bfa1adda9f3539101726e499bfff273eb9bdc9a298e9bdf40ce632ec161542b1","published":"2026-05-26T00:00:00-04:00","receipt_hash":"bfa1adda9f3539101726e499bfff273eb9bdc9a298e9bdf40ce632ec161542b1","schema":"spider.legal.court_dockets.v1","spider":"court_dockets","spider_record":{"axiom_subtype":"legal.court_dockets.v1","category":"legal","decision_hint":"POSITIVE","envelope_target":"AX.OBS","fingerprint":"bfa1adda9f3539101726e499bfff273eb9bdc9a298e9bdf40ce632ec161542b1","observed_at":"2026-05-27T05:41:11.175817Z","parent_run_hash":"d09a84786baea7fc40912ef094eddcb7c8993ae7f98f07675094c6cca57aec02","published":"2026-05-26T00:00:00-04:00","runtime_version":"0.1.0","schema":"spider.legal.court_dockets.v1","source_status":200,"source_url":"https://www.courtlistener.com/feed/search/?q=chatgpt&type=r&order_by=dateFiled+desc","spider":"court_dockets","summary_excerpt":"<p>mathematically inevitable, not just engineering flaws,” and “large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.” ! https://www.theinformation.com/articles/chatgpt-doctors-startup-considers-6-billion-valuation- investment (noting OpenEvidence “uses open-source models to search through medical journals and return useful information and citations,” and “uses AI from Google, OpenAI and other providers to write</p><br>\n    \n    <a href=\"/docket/70596804/110/openevidence-inc-v-doximity-inc/\">Original document</a>","title":"OpenEvidence Inc. v. Doximity, Inc.","url":"https://www.courtlistener.com/docket/70596804/110/openevidence-inc-v-doximity-inc/","vendor":"court_dockets"},"summary":"<p>mathematically inevitable, not just engineering flaws,” and “large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.” ! https://www.theinformation.com/articles/chatgpt-doctors-startup-considers-6-billion-valuation- investment (noting OpenEvidence “uses open-source models to search through medical journals and return useful information and citations,” and “uses AI from Google, OpenAI and other providers to write</p><br>\n    \n    <a href=\"/docket/70596804/110/openevidence-inc-v-doximity-inc/\">Original document</a>","title":"OpenEvidence Inc. v. 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