{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5K3XQQG5W5DO3KBVTLIV3RC3PH","short_pith_number":"pith:5K3XQQG5","canonical_record":{"source":{"id":"2606.01204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-31T12:39:05Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"a2c2adf185f1c9f5c499012c55e716b8ce0cf712fe3c42319ab7f2090f27db8f","abstract_canon_sha256":"c9dc53ace627bd569a7fd3a75854bb03974511c79d9a4e611c881301048281b2"},"schema_version":"1.0"},"canonical_sha256":"eab77840ddb746eda8359ad15dc45b79e4e7016b700646b53a000ed5e8bdfdb6","source":{"kind":"arxiv","id":"2606.01204","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01204","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01204v1","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01204","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"5K3XQQG5W5DO","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"5K3XQQG5W5DO3KBV","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"5K3XQQG5","created_at":"2026-06-02T02:04:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5K3XQQG5W5DO3KBVTLIV3RC3PH","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-31T12:39:05Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"a2c2adf185f1c9f5c499012c55e716b8ce0cf712fe3c42319ab7f2090f27db8f","abstract_canon_sha256":"c9dc53ace627bd569a7fd3a75854bb03974511c79d9a4e611c881301048281b2"},"schema_version":"1.0"},"canonical_sha256":"eab77840ddb746eda8359ad15dc45b79e4e7016b700646b53a000ed5e8bdfdb6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:26.755491Z","signature_b64":"qbM4KwJZXtxSUqN5mw+EitwGOgZl6DQ9StNMIQ4cN2bYR3or9VWlQIhkI4zRuh+KOI80tqmUa5oVNIIspjCCCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eab77840ddb746eda8359ad15dc45b79e4e7016b700646b53a000ed5e8bdfdb6","last_reissued_at":"2026-06-02T02:04:26.755068Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:26.755068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01204","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T02:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o/RgNx7bUbUnfghf0Hk6LogOR+Ki1Tf90zLTP/uqsQyuXhUAVxHnabjcPh1WKKgyzzragd/bQoDvLatK3q9nCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T16:44:12.867245Z"},"content_sha256":"54b26331b65df56c94230004bb5cb59b9cdad45586a640110c6e666292ef0b34","schema_version":"1.0","event_id":"sha256:54b26331b65df56c94230004bb5cb59b9cdad45586a640110c6e666292ef0b34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5K3XQQG5W5DO3KBVTLIV3RC3PH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Qi Han Wong","submitted_at":"2026-05-31T12:39:05Z","abstract_excerpt":"We investigate whether large language models produce different medical triage recommendations for identical symptoms based solely on the language of the patient prompt. Using Gemini 3.5 Flash, we evaluate a neurological symptom profile (persistent headache, blurred vision, nausea) across six languages (English, Spanish, Chinese, Hindi, Japanese, Arabic) with 30 runs per condition (n=450 total API calls). We find that the model recommends emergency room visits at rates ranging from 0% (Japanese, Hindi) to 30% (English, Arabic), despite assigning nearly identical severity scores (7.7-8.0/10) acr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01204","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.01204/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T02:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aCiVgBXBBx4waLIMQquR116O2cZqA4OXl7Hrgjy99zu5UtKN4McKwLE5LBKIU010Oe24htknvqPneXtVUAfgAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T16:44:12.867629Z"},"content_sha256":"6b0f9a3774eac165ff55738df99fe4353c66dc1db2047c1ad52dca878307cde0","schema_version":"1.0","event_id":"sha256:6b0f9a3774eac165ff55738df99fe4353c66dc1db2047c1ad52dca878307cde0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/bundle.json","state_url":"https://pith.science/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-30T16:44:12Z","links":{"resolver":"https://pith.science/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH","bundle":"https://pith.science/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/bundle.json","state":"https://pith.science/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5K3XQQG5W5DO3KBVTLIV3RC3PH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5K3XQQG5W5DO3KBVTLIV3RC3PH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c9dc53ace627bd569a7fd3a75854bb03974511c79d9a4e611c881301048281b2","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-31T12:39:05Z","title_canon_sha256":"a2c2adf185f1c9f5c499012c55e716b8ce0cf712fe3c42319ab7f2090f27db8f"},"schema_version":"1.0","source":{"id":"2606.01204","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01204","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01204v1","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01204","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"5K3XQQG5W5DO","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"5K3XQQG5W5DO3KBV","created_at":"2026-06-02T02:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"5K3XQQG5","created_at":"2026-06-02T02:04:26Z"}],"graph_snapshots":[{"event_id":"sha256:6b0f9a3774eac165ff55738df99fe4353c66dc1db2047c1ad52dca878307cde0","target":"graph","created_at":"2026-06-02T02:04:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.01204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate whether large language models produce different medical triage recommendations for identical symptoms based solely on the language of the patient prompt. Using Gemini 3.5 Flash, we evaluate a neurological symptom profile (persistent headache, blurred vision, nausea) across six languages (English, Spanish, Chinese, Hindi, Japanese, Arabic) with 30 runs per condition (n=450 total API calls). We find that the model recommends emergency room visits at rates ranging from 0% (Japanese, Hindi) to 30% (English, Arabic), despite assigning nearly identical severity scores (7.7-8.0/10) acr","authors_text":"Qi Han Wong","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-31T12:39:05Z","title":"Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01204","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:54b26331b65df56c94230004bb5cb59b9cdad45586a640110c6e666292ef0b34","target":"record","created_at":"2026-06-02T02:04:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c9dc53ace627bd569a7fd3a75854bb03974511c79d9a4e611c881301048281b2","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-31T12:39:05Z","title_canon_sha256":"a2c2adf185f1c9f5c499012c55e716b8ce0cf712fe3c42319ab7f2090f27db8f"},"schema_version":"1.0","source":{"id":"2606.01204","kind":"arxiv","version":1}},"canonical_sha256":"eab77840ddb746eda8359ad15dc45b79e4e7016b700646b53a000ed5e8bdfdb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eab77840ddb746eda8359ad15dc45b79e4e7016b700646b53a000ed5e8bdfdb6","first_computed_at":"2026-06-02T02:04:26.755068Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:26.755068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qbM4KwJZXtxSUqN5mw+EitwGOgZl6DQ9StNMIQ4cN2bYR3or9VWlQIhkI4zRuh+KOI80tqmUa5oVNIIspjCCCg==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:26.755491Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01204","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54b26331b65df56c94230004bb5cb59b9cdad45586a640110c6e666292ef0b34","sha256:6b0f9a3774eac165ff55738df99fe4353c66dc1db2047c1ad52dca878307cde0"],"state_sha256":"7364cd007299c9b2a12d9c7aa88568ed028f2e6ec200ac1fdfae285d7eac07bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kkZuM+b3rNH6LNPLwJxqZaGVqhws+X18Bt10jG4lCYhCIIm4PjEAeJg0VWomnFoxRgaFis2ZP1KnVO95PbWzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T16:44:12.869624Z","bundle_sha256":"303a93d58b3dd68068b08d6a1f46b8e13bf19771e966eac487c2f0b5bfac2de4"}}