{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AY7EJ4SHP4A6NSU3FBHQWIPS3M","short_pith_number":"pith:AY7EJ4SH","canonical_record":{"source":{"id":"2503.03278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T09:02:33Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"74fe9e8bd6506724d55e35fbfbe7718e27d24132c802a02e481fcf0e516fe231","abstract_canon_sha256":"d5892548327cb3569a2ed21a2d7842ab8b52a86cdece806b70e0b947c87b9c93"},"schema_version":"1.0"},"canonical_sha256":"063e44f2477f01e6ca9b284f0b21f2db34e05b7c62b8b5d14f4e14fcf86be4b1","source":{"kind":"arxiv","id":"2503.03278","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.03278","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"2503.03278v1","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.03278","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"AY7EJ4SHP4A6","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"AY7EJ4SHP4A6NSU3","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"AY7EJ4SH","created_at":"2026-07-05T10:24:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AY7EJ4SHP4A6NSU3FBHQWIPS3M","target":"record","payload":{"canonical_record":{"source":{"id":"2503.03278","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T09:02:33Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"74fe9e8bd6506724d55e35fbfbe7718e27d24132c802a02e481fcf0e516fe231","abstract_canon_sha256":"d5892548327cb3569a2ed21a2d7842ab8b52a86cdece806b70e0b947c87b9c93"},"schema_version":"1.0"},"canonical_sha256":"063e44f2477f01e6ca9b284f0b21f2db34e05b7c62b8b5d14f4e14fcf86be4b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:24:42.430009Z","signature_b64":"hny4z63U66t6Po76z5BAL+AspsnEMuCPU499t+U47LvZHW5brG7TdqyUgMmxjlD73JE8UFlwebHBTCfAW7uMDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"063e44f2477f01e6ca9b284f0b21f2db34e05b7c62b8b5d14f4e14fcf86be4b1","last_reissued_at":"2026-07-05T10:24:42.429517Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:24:42.429517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.03278","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":"2026-07-05T10:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SWJw+U+zxEVT8UbK+BztBVWq9xeiLuaNXdfm9WRYCjH2duBiHqXnChp74fG2AzcPvwswiJw8L2XkQEqRfOmVCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:36:55.528539Z"},"content_sha256":"4465bf2afd8fdf302ff2831e9e74c281905368e1c68526315613da91b6024039","schema_version":"1.0","event_id":"sha256:4465bf2afd8fdf302ff2831e9e74c281905368e1c68526315613da91b6024039"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AY7EJ4SHP4A6NSU3FBHQWIPS3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Che Liu, Cosmin I. Bercea, Julia A. Schnabel, Jun Li, Rossella Arcucci, Wenjia Bai","submitted_at":"2025-03-05T09:02:33Z","abstract_excerpt":"Visual Language Models (VLMs) have demonstrated impressive capabilities in visual grounding tasks. However, their effectiveness in the medical domain, particularly for abnormality detection and localization within medical images, remains underexplored. A major challenge is the complex and abstract nature of medical terminology, which makes it difficult to directly associate pathological anomaly terms with their corresponding visual features. In this work, we introduce a novel approach to enhance VLM performance in medical abnormality detection and localization by leveraging decomposed medical "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.03278","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/2503.03278/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":"2026-07-05T10:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3dLnABB9blByhBjrmoL76cBMCisBXuD+/0VqEaadgJr7k6Qo04RVK0xkuFNXbaaWhKLpgNfZAj4fDJgpTlXYBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:36:55.529213Z"},"content_sha256":"e6eb0179582391be2ed9a3a4bbab727c622f8e2c297566bb08418c987b703ea7","schema_version":"1.0","event_id":"sha256:e6eb0179582391be2ed9a3a4bbab727c622f8e2c297566bb08418c987b703ea7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/bundle.json","state_url":"https://pith.science/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/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":"2026-08-03T16:36:55Z","links":{"resolver":"https://pith.science/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M","bundle":"https://pith.science/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/bundle.json","state":"https://pith.science/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AY7EJ4SHP4A6NSU3FBHQWIPS3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AY7EJ4SHP4A6NSU3FBHQWIPS3M","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":"d5892548327cb3569a2ed21a2d7842ab8b52a86cdece806b70e0b947c87b9c93","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T09:02:33Z","title_canon_sha256":"74fe9e8bd6506724d55e35fbfbe7718e27d24132c802a02e481fcf0e516fe231"},"schema_version":"1.0","source":{"id":"2503.03278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.03278","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"2503.03278v1","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.03278","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"AY7EJ4SHP4A6","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"AY7EJ4SHP4A6NSU3","created_at":"2026-07-05T10:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"AY7EJ4SH","created_at":"2026-07-05T10:24:42Z"}],"graph_snapshots":[{"event_id":"sha256:e6eb0179582391be2ed9a3a4bbab727c622f8e2c297566bb08418c987b703ea7","target":"graph","created_at":"2026-07-05T10:24:42Z","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/2503.03278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual Language Models (VLMs) have demonstrated impressive capabilities in visual grounding tasks. However, their effectiveness in the medical domain, particularly for abnormality detection and localization within medical images, remains underexplored. A major challenge is the complex and abstract nature of medical terminology, which makes it difficult to directly associate pathological anomaly terms with their corresponding visual features. In this work, we introduce a novel approach to enhance VLM performance in medical abnormality detection and localization by leveraging decomposed medical ","authors_text":"Che Liu, Cosmin I. Bercea, Julia A. Schnabel, Jun Li, Rossella Arcucci, Wenjia Bai","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T09:02:33Z","title":"Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.03278","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":"sha256:4465bf2afd8fdf302ff2831e9e74c281905368e1c68526315613da91b6024039","target":"record","created_at":"2026-07-05T10:24:42Z","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":"d5892548327cb3569a2ed21a2d7842ab8b52a86cdece806b70e0b947c87b9c93","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-05T09:02:33Z","title_canon_sha256":"74fe9e8bd6506724d55e35fbfbe7718e27d24132c802a02e481fcf0e516fe231"},"schema_version":"1.0","source":{"id":"2503.03278","kind":"arxiv","version":1}},"canonical_sha256":"063e44f2477f01e6ca9b284f0b21f2db34e05b7c62b8b5d14f4e14fcf86be4b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"063e44f2477f01e6ca9b284f0b21f2db34e05b7c62b8b5d14f4e14fcf86be4b1","first_computed_at":"2026-07-05T10:24:42.429517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:42.429517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hny4z63U66t6Po76z5BAL+AspsnEMuCPU499t+U47LvZHW5brG7TdqyUgMmxjlD73JE8UFlwebHBTCfAW7uMDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:42.430009Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.03278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4465bf2afd8fdf302ff2831e9e74c281905368e1c68526315613da91b6024039","sha256:e6eb0179582391be2ed9a3a4bbab727c622f8e2c297566bb08418c987b703ea7"],"state_sha256":"fca0557208a2ce69713cdf5dd012ec635222edb2c9ac7152d1603cd893ac1456"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3Ad4qTst1YJwkFiB/nV34t+FDZPoxPk/yFFiZZS+Awcd/hCA8onOAPR9XmfVVTyxtwFwbIIJV2vcPyY1gnTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:36:55.533978Z","bundle_sha256":"dbf7d2193822c2ab86575c4eb308867db10751aab75f0b9aba4d01d55f2d1fae"}}