{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6BEPCA72MTNQDX5QMXX2BILCUC","short_pith_number":"pith:6BEPCA72","canonical_record":{"source":{"id":"2507.02488","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T09:51:45Z","cross_cats_sorted":[],"title_canon_sha256":"4dec8ec976236b0f0b0368c55e29ca4a348d1199c04788c1e2183d459b0a259a","abstract_canon_sha256":"9569645d6dbf03c498d6524dc1d93617b4807a6d7f532313a08f5a4718053b73"},"schema_version":"1.0"},"canonical_sha256":"f048f103fa64db01dfb065efa0a162a0b3ddc5bed558e1e9d7b013ec9dd43ede","source":{"kind":"arxiv","id":"2507.02488","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02488","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02488v2","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02488","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_12","alias_value":"6BEPCA72MTNQ","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_16","alias_value":"6BEPCA72MTNQDX5Q","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_8","alias_value":"6BEPCA72","created_at":"2026-07-05T11:48:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6BEPCA72MTNQDX5QMXX2BILCUC","target":"record","payload":{"canonical_record":{"source":{"id":"2507.02488","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T09:51:45Z","cross_cats_sorted":[],"title_canon_sha256":"4dec8ec976236b0f0b0368c55e29ca4a348d1199c04788c1e2183d459b0a259a","abstract_canon_sha256":"9569645d6dbf03c498d6524dc1d93617b4807a6d7f532313a08f5a4718053b73"},"schema_version":"1.0"},"canonical_sha256":"f048f103fa64db01dfb065efa0a162a0b3ddc5bed558e1e9d7b013ec9dd43ede","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:26.951448Z","signature_b64":"Z2hQfXdCz6LljQeZAlL7GbdIko3ewRoj/D5Qxn7jY0ptOu3IaXxGrL2FN6GrxQEz4S2I0X81TiTOAH4ad7jGDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f048f103fa64db01dfb065efa0a162a0b3ddc5bed558e1e9d7b013ec9dd43ede","last_reissued_at":"2026-07-05T11:48:26.950915Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:26.950915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.02488","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:48:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wguSbd5pSE77BI828KdwVB0XZBHDtkBpHj3YuAVAB3T1hxEqqkKW0RSzFUpP3DeH4o1iDN1q7xVf74hLs/ayDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:27:11.911905Z"},"content_sha256":"17404bca8a25f23a27f85d9819cb01c33218dc9c2c0dd7276fc4570bc76ce037","schema_version":"1.0","event_id":"sha256:17404bca8a25f23a27f85d9819cb01c33218dc9c2c0dd7276fc4570bc76ce037"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6BEPCA72MTNQDX5QMXX2BILCUC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongxing Li, Libin Lan, Zunhui Xia","submitted_at":"2025-07-03T09:51:45Z","abstract_excerpt":"Medical image recognition serves as a key way to aid in clinical diagnosis, enabling more accurate and timely identification of diseases and abnormalities. Vision transformer-based approaches have proven effective in handling various medical recognition tasks. However, these methods encounter two primary challenges. First, they are often task-specific and architecture-tailored, limiting their general applicability. Second, they usually either adopt full attention to model long-range dependencies, resulting in high computational costs, or rely on handcrafted sparse attention, potentially leadin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02488","kind":"arxiv","version":2},"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/2507.02488/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":"2026-07-05T11:48:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tBBxyTPETbybueQ1tGugEjGBNfxcSbtV9q2onTRttHJr1+LVVMBmCNseAOP/+6daV/pMbLTCG+q8dyz1N8KeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:27:11.912480Z"},"content_sha256":"d08c775bec55ec0527226fbe450e034e49adf2dd856d16ca65df5718fe90b964","schema_version":"1.0","event_id":"sha256:d08c775bec55ec0527226fbe450e034e49adf2dd856d16ca65df5718fe90b964"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6BEPCA72MTNQDX5QMXX2BILCUC/bundle.json","state_url":"https://pith.science/pith/6BEPCA72MTNQDX5QMXX2BILCUC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6BEPCA72MTNQDX5QMXX2BILCUC/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":"2026-08-07T09:27:11Z","links":{"resolver":"https://pith.science/pith/6BEPCA72MTNQDX5QMXX2BILCUC","bundle":"https://pith.science/pith/6BEPCA72MTNQDX5QMXX2BILCUC/bundle.json","state":"https://pith.science/pith/6BEPCA72MTNQDX5QMXX2BILCUC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6BEPCA72MTNQDX5QMXX2BILCUC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6BEPCA72MTNQDX5QMXX2BILCUC","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":"9569645d6dbf03c498d6524dc1d93617b4807a6d7f532313a08f5a4718053b73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T09:51:45Z","title_canon_sha256":"4dec8ec976236b0f0b0368c55e29ca4a348d1199c04788c1e2183d459b0a259a"},"schema_version":"1.0","source":{"id":"2507.02488","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02488","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02488v2","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02488","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_12","alias_value":"6BEPCA72MTNQ","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_16","alias_value":"6BEPCA72MTNQDX5Q","created_at":"2026-07-05T11:48:26Z"},{"alias_kind":"pith_short_8","alias_value":"6BEPCA72","created_at":"2026-07-05T11:48:26Z"}],"graph_snapshots":[{"event_id":"sha256:d08c775bec55ec0527226fbe450e034e49adf2dd856d16ca65df5718fe90b964","target":"graph","created_at":"2026-07-05T11:48:26Z","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/2507.02488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical image recognition serves as a key way to aid in clinical diagnosis, enabling more accurate and timely identification of diseases and abnormalities. Vision transformer-based approaches have proven effective in handling various medical recognition tasks. However, these methods encounter two primary challenges. First, they are often task-specific and architecture-tailored, limiting their general applicability. Second, they usually either adopt full attention to model long-range dependencies, resulting in high computational costs, or rely on handcrafted sparse attention, potentially leadin","authors_text":"Hongxing Li, Libin Lan, Zunhui Xia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T09:51:45Z","title":"MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02488","kind":"arxiv","version":2},"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":"sha256:17404bca8a25f23a27f85d9819cb01c33218dc9c2c0dd7276fc4570bc76ce037","target":"record","created_at":"2026-07-05T11:48:26Z","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":"9569645d6dbf03c498d6524dc1d93617b4807a6d7f532313a08f5a4718053b73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T09:51:45Z","title_canon_sha256":"4dec8ec976236b0f0b0368c55e29ca4a348d1199c04788c1e2183d459b0a259a"},"schema_version":"1.0","source":{"id":"2507.02488","kind":"arxiv","version":2}},"canonical_sha256":"f048f103fa64db01dfb065efa0a162a0b3ddc5bed558e1e9d7b013ec9dd43ede","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f048f103fa64db01dfb065efa0a162a0b3ddc5bed558e1e9d7b013ec9dd43ede","first_computed_at":"2026-07-05T11:48:26.950915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:26.950915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z2hQfXdCz6LljQeZAlL7GbdIko3ewRoj/D5Qxn7jY0ptOu3IaXxGrL2FN6GrxQEz4S2I0X81TiTOAH4ad7jGDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:26.951448Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.02488","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17404bca8a25f23a27f85d9819cb01c33218dc9c2c0dd7276fc4570bc76ce037","sha256:d08c775bec55ec0527226fbe450e034e49adf2dd856d16ca65df5718fe90b964"],"state_sha256":"01044f4c303ebc732a66d3b672371ecd6cf5323db22dc34c051c3837584c6bb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7mnCtZn4G88JHK0WLXtr6GZPaHtM57gP6Q9MQtim11nnb5a62N1kpZoclKxSBqL21cnOaI++bOfXIk6paemICQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:27:11.917267Z","bundle_sha256":"6e911c2790cd54e63fde36e0610ca9a271137646fde42584d93f1e53cd9303a2"}}