{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:3KNXRJTQDFEWJIHQTKNHPLGGYS","short_pith_number":"pith:3KNXRJTQ","canonical_record":{"source":{"id":"2202.08453","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-17T05:52:18Z","cross_cats_sorted":[],"title_canon_sha256":"122000ba791e1f81711630f0d649a525530de0835e87c74919070f6af150c450","abstract_canon_sha256":"fd31a98543465760b884372e20cc8114eea5a78744d27070cdf1f9d1dbf5d410"},"schema_version":"1.0"},"canonical_sha256":"da9b78a670194964a0f09a9a77acc6c4bb73cdf211b5fc3a3663ea183e95a091","source":{"kind":"arxiv","id":"2202.08453","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08453","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08453v1","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08453","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"3KNXRJTQDFEW","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_16","alias_value":"3KNXRJTQDFEWJIHQ","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_8","alias_value":"3KNXRJTQ","created_at":"2026-07-05T03:57:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:3KNXRJTQDFEWJIHQTKNHPLGGYS","target":"record","payload":{"canonical_record":{"source":{"id":"2202.08453","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-17T05:52:18Z","cross_cats_sorted":[],"title_canon_sha256":"122000ba791e1f81711630f0d649a525530de0835e87c74919070f6af150c450","abstract_canon_sha256":"fd31a98543465760b884372e20cc8114eea5a78744d27070cdf1f9d1dbf5d410"},"schema_version":"1.0"},"canonical_sha256":"da9b78a670194964a0f09a9a77acc6c4bb73cdf211b5fc3a3663ea183e95a091","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:57:45.990869Z","signature_b64":"XCq6lkPji3bx0P/ANzMfx88+7Dd+RltRm/TOxzAwNQHFt34RMAmfHeRkFZwkz0LW2CFlVEqxx7etxCswtg8oBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da9b78a670194964a0f09a9a77acc6c4bb73cdf211b5fc3a3663ea183e95a091","last_reissued_at":"2026-07-05T03:57:45.990423Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:57:45.990423Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.08453","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":"2026-07-05T03:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h+FAzB1nDwT+UOtGxk4LY86sTOLqkfXgwA6lpoFCS+a2om2fLKK6EDKRLa1NInY6ljskPtajtJpAcg+vbT7CDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:22:27.975567Z"},"content_sha256":"de586397600c305330aec1e50ec62775d993075d0af541ccab5eb3b3d11a1eb2","schema_version":"1.0","event_id":"sha256:de586397600c305330aec1e50ec62775d993075d0af541ccab5eb3b3d11a1eb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:3KNXRJTQDFEWJIHQTKNHPLGGYS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pheng-Ann Heng, Yueming Jin, Zixu Zhao","submitted_at":"2022-02-17T05:52:18Z","abstract_excerpt":"Surgical instrument segmentation -- in general a pixel classification task -- is fundamentally crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However, previous methods are struggling with discriminating instrument types and instances. To address the above issues, we explore a mask classification paradigm that produces per-segment predictions. We propose TraSeTR, a novel Track-to-Segment Transformer that wisely exploits tracking cues to assist surgical instrument segmentation. TraSeTR jointly reasons about the instrument type, location, and identity with instance-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08453","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/2202.08453/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":"2026-07-05T03:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfAH3TKLjG0moCyRolgrzLKl12C6je7cfPLc0JXyYOSrij4axxn8JCBrAnRMXIcvvWp6b/8QYVfWzJvUQ/4LCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:22:27.976196Z"},"content_sha256":"b46dafa9c09c6f9365b022d08255c8dffafaf89249adb04fd448753b51938118","schema_version":"1.0","event_id":"sha256:b46dafa9c09c6f9365b022d08255c8dffafaf89249adb04fd448753b51938118"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/bundle.json","state_url":"https://pith.science/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/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":"2026-08-06T01:22:27Z","links":{"resolver":"https://pith.science/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS","bundle":"https://pith.science/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/bundle.json","state":"https://pith.science/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3KNXRJTQDFEWJIHQTKNHPLGGYS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3KNXRJTQDFEWJIHQTKNHPLGGYS","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":"fd31a98543465760b884372e20cc8114eea5a78744d27070cdf1f9d1dbf5d410","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-17T05:52:18Z","title_canon_sha256":"122000ba791e1f81711630f0d649a525530de0835e87c74919070f6af150c450"},"schema_version":"1.0","source":{"id":"2202.08453","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08453","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08453v1","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08453","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"3KNXRJTQDFEW","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_16","alias_value":"3KNXRJTQDFEWJIHQ","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_8","alias_value":"3KNXRJTQ","created_at":"2026-07-05T03:57:45Z"}],"graph_snapshots":[{"event_id":"sha256:b46dafa9c09c6f9365b022d08255c8dffafaf89249adb04fd448753b51938118","target":"graph","created_at":"2026-07-05T03:57:45Z","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/2202.08453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surgical instrument segmentation -- in general a pixel classification task -- is fundamentally crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However, previous methods are struggling with discriminating instrument types and instances. To address the above issues, we explore a mask classification paradigm that produces per-segment predictions. We propose TraSeTR, a novel Track-to-Segment Transformer that wisely exploits tracking cues to assist surgical instrument segmentation. TraSeTR jointly reasons about the instrument type, location, and identity with instance-","authors_text":"Pheng-Ann Heng, Yueming Jin, Zixu Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-17T05:52:18Z","title":"TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08453","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:de586397600c305330aec1e50ec62775d993075d0af541ccab5eb3b3d11a1eb2","target":"record","created_at":"2026-07-05T03:57:45Z","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":"fd31a98543465760b884372e20cc8114eea5a78744d27070cdf1f9d1dbf5d410","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-17T05:52:18Z","title_canon_sha256":"122000ba791e1f81711630f0d649a525530de0835e87c74919070f6af150c450"},"schema_version":"1.0","source":{"id":"2202.08453","kind":"arxiv","version":1}},"canonical_sha256":"da9b78a670194964a0f09a9a77acc6c4bb73cdf211b5fc3a3663ea183e95a091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da9b78a670194964a0f09a9a77acc6c4bb73cdf211b5fc3a3663ea183e95a091","first_computed_at":"2026-07-05T03:57:45.990423Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:57:45.990423Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XCq6lkPji3bx0P/ANzMfx88+7Dd+RltRm/TOxzAwNQHFt34RMAmfHeRkFZwkz0LW2CFlVEqxx7etxCswtg8oBw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:57:45.990869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.08453","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de586397600c305330aec1e50ec62775d993075d0af541ccab5eb3b3d11a1eb2","sha256:b46dafa9c09c6f9365b022d08255c8dffafaf89249adb04fd448753b51938118"],"state_sha256":"db414b129db241a8540d879e62b1ca691fa706b38b9fbc8869f82746445bc0bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jEUaQsl0VFnNIfDNgVOzFOwWDw9iGUtUu40SRFD0ta5SGtLIvJkZRgN8h8ZTlHMmcDC0PDuHGo7/HF6QtHGJDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:22:27.979835Z","bundle_sha256":"e0d1001f8555b5f03928357d201e3e0c4753b3df7618a68ece2f6f26275423df"}}