{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:F3TOXWULWY4XUYJF64KQEZ6W5X","short_pith_number":"pith:F3TOXWUL","canonical_record":{"source":{"id":"2605.30646","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T23:03:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c32f46a20c766fd888af47410aeb02947fce852279489740fb09f1301b8fbf6c","abstract_canon_sha256":"ed9867fbccdb7027fb3c6ee58ade54f05e2dd629844e99877767f9301c29ed85"},"schema_version":"1.0"},"canonical_sha256":"2ee6ebda8bb6397a6125f7150267d6ede2ec72343ee99d5bd5a2a1e0d59092ac","source":{"kind":"arxiv","id":"2605.30646","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30646","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30646v1","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30646","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"F3TOXWULWY4X","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"F3TOXWULWY4XUYJF","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"F3TOXWUL","created_at":"2026-06-01T01:03:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:F3TOXWULWY4XUYJF64KQEZ6W5X","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30646","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T23:03:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c32f46a20c766fd888af47410aeb02947fce852279489740fb09f1301b8fbf6c","abstract_canon_sha256":"ed9867fbccdb7027fb3c6ee58ade54f05e2dd629844e99877767f9301c29ed85"},"schema_version":"1.0"},"canonical_sha256":"2ee6ebda8bb6397a6125f7150267d6ede2ec72343ee99d5bd5a2a1e0d59092ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:06.044716Z","signature_b64":"ivCCON675pGkdDbtoU0F2xW4Dly5WMXjqcKd+OtoslKjBuiRcv86GvaHvh45PmrVRk78tV25cUaseQ9UueotCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ee6ebda8bb6397a6125f7150267d6ede2ec72343ee99d5bd5a2a1e0d59092ac","last_reissued_at":"2026-06-01T01:03:06.043795Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:06.043795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30646","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":"2026-06-01T01:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fq4HqnkrtpxWNlZaeq72TVcnPBV/KAtkX8770ckoGODuL7GT7R1M5fI6nxKsyMLtFI2b6o4sz2ijLxZT5Vk4Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T15:24:10.392228Z"},"content_sha256":"5623bc11b7db46b2a47027e40656431bc3523847ca721b584e884500bff66d07","schema_version":"1.0","event_id":"sha256:5623bc11b7db46b2a47027e40656431bc3523847ca721b584e884500bff66d07"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:F3TOXWULWY4XUYJF64KQEZ6W5X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Adnan Qayyum, Junaid Qadir, Mahdi Alkaeed, Muhammad Bilal, Nabeel Abo Kashreef","submitted_at":"2026-05-28T23:03:43Z","abstract_excerpt":"Large Language Models (LLMs) are increasingly used in clinical applications. However, their behavior remains highly sensitive to subtle linguistic variations, such as rephrasing or syntactic variation. This sensitivity poses risks in safety-critical healthcare settings, where semantically equivalent inputs should produce consistent predictions. However, a key challenge is to ensure that prompt variations truly preserve clinical meaning, as embedding-based similarity metrics often fail to capture distinctions involving negation, temporality, or severity. To address this limitation, we propose a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30646","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/2605.30646/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":"2026-06-01T01:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"28ViElSmyAFe1P/XAylhMVulfNgBT2Ji+neK6EDIKgQIbLidNpwWJan2jsGm7tVTXT2fvInB9UnY9tu7ClOxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T15:24:10.392639Z"},"content_sha256":"c22ff361da4cbcdfd9b9acf332ed1ea8faeb541504883a3338bad61a6777ad1e","schema_version":"1.0","event_id":"sha256:c22ff361da4cbcdfd9b9acf332ed1ea8faeb541504883a3338bad61a6777ad1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/bundle.json","state_url":"https://pith.science/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/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":"2026-06-02T15:24:10Z","links":{"resolver":"https://pith.science/pith/F3TOXWULWY4XUYJF64KQEZ6W5X","bundle":"https://pith.science/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/bundle.json","state":"https://pith.science/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3TOXWULWY4XUYJF64KQEZ6W5X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F3TOXWULWY4XUYJF64KQEZ6W5X","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":"ed9867fbccdb7027fb3c6ee58ade54f05e2dd629844e99877767f9301c29ed85","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T23:03:43Z","title_canon_sha256":"c32f46a20c766fd888af47410aeb02947fce852279489740fb09f1301b8fbf6c"},"schema_version":"1.0","source":{"id":"2605.30646","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30646","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30646v1","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30646","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"F3TOXWULWY4X","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"F3TOXWULWY4XUYJF","created_at":"2026-06-01T01:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"F3TOXWUL","created_at":"2026-06-01T01:03:06Z"}],"graph_snapshots":[{"event_id":"sha256:c22ff361da4cbcdfd9b9acf332ed1ea8faeb541504883a3338bad61a6777ad1e","target":"graph","created_at":"2026-06-01T01:03:06Z","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/2605.30646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are increasingly used in clinical applications. However, their behavior remains highly sensitive to subtle linguistic variations, such as rephrasing or syntactic variation. This sensitivity poses risks in safety-critical healthcare settings, where semantically equivalent inputs should produce consistent predictions. However, a key challenge is to ensure that prompt variations truly preserve clinical meaning, as embedding-based similarity metrics often fail to capture distinctions involving negation, temporality, or severity. To address this limitation, we propose a","authors_text":"Adnan Qayyum, Junaid Qadir, Mahdi Alkaeed, Muhammad Bilal, Nabeel Abo Kashreef","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T23:03:43Z","title":"Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30646","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":"sha256:5623bc11b7db46b2a47027e40656431bc3523847ca721b584e884500bff66d07","target":"record","created_at":"2026-06-01T01:03:06Z","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":"ed9867fbccdb7027fb3c6ee58ade54f05e2dd629844e99877767f9301c29ed85","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T23:03:43Z","title_canon_sha256":"c32f46a20c766fd888af47410aeb02947fce852279489740fb09f1301b8fbf6c"},"schema_version":"1.0","source":{"id":"2605.30646","kind":"arxiv","version":1}},"canonical_sha256":"2ee6ebda8bb6397a6125f7150267d6ede2ec72343ee99d5bd5a2a1e0d59092ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ee6ebda8bb6397a6125f7150267d6ede2ec72343ee99d5bd5a2a1e0d59092ac","first_computed_at":"2026-06-01T01:03:06.043795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:06.043795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ivCCON675pGkdDbtoU0F2xW4Dly5WMXjqcKd+OtoslKjBuiRcv86GvaHvh45PmrVRk78tV25cUaseQ9UueotCA==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:06.044716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30646","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5623bc11b7db46b2a47027e40656431bc3523847ca721b584e884500bff66d07","sha256:c22ff361da4cbcdfd9b9acf332ed1ea8faeb541504883a3338bad61a6777ad1e"],"state_sha256":"fd5a761048049de6ef0cce1d87eb7d75892293ac625f0df4a304db8509a27423"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hgPUx0F0yKC8C+OKqDRFo76tttiYVewjZ9HZNg12PzvgFqwIqfwi6rW6IfWm1ZcJMG6bIXSpsb9rAheZZR6UDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T15:24:10.394701Z","bundle_sha256":"2a579202d4e1712d6b13c85860c3b1e3e958d0b89986f7125ad8731ee305e19a"}}