{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZYOICQUUIAF4TWOCE2BHOUQCWU","short_pith_number":"pith:ZYOICQUU","schema_version":"1.0","canonical_sha256":"ce1c814294400bc9d9c22682775202b5381160a44139388c4ff31e2732a0f1d1","source":{"kind":"arxiv","id":"2409.14282","version":1},"attestation_state":"computed","paper":{"title":"AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Fei Liu, Florian Richter, Michael Yip, Xiao Liang, Youcheng Zhang","submitted_at":"2024-09-22T01:08:13Z","abstract_excerpt":"Chronic wounds, including diabetic ulcers, pressure ulcers, and ulcers secondary to venous hypertension, affects more than 6.5 million patients and a yearly cost of more than $25 billion in the United States alone. Chronic wound treatment is currently a manual process, and we envision a future where robotics and automation will aid in this treatment to reduce cost and improve patient care. In this work, we present the development of the first robotic system for wound dressing removal which is reported to be the worst aspect of living with chronic wounds. Our method leverages differentiable phy"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2409.14282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-22T01:08:13Z","cross_cats_sorted":[],"title_canon_sha256":"1a96292284abfaf5820edf8f109e25880ae4b01a874d8f847e695d0fbf50d16a","abstract_canon_sha256":"292f5fc9ba04f71c31044952e1aff295e76f7d993fe1e03b497c9aa117f03c1a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:14.231205Z","signature_b64":"AlXF3T8uOijNfyym6tzVc/54+qB88voiIsAcZjxZELtUEPZPg+/5IvoeRJp7hc38DqxCkKRVmyleBFzIIlUhAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce1c814294400bc9d9c22682775202b5381160a44139388c4ff31e2732a0f1d1","last_reissued_at":"2026-07-05T09:10:14.230745Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:14.230745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Fei Liu, Florian Richter, Michael Yip, Xiao Liang, Youcheng Zhang","submitted_at":"2024-09-22T01:08:13Z","abstract_excerpt":"Chronic wounds, including diabetic ulcers, pressure ulcers, and ulcers secondary to venous hypertension, affects more than 6.5 million patients and a yearly cost of more than $25 billion in the United States alone. Chronic wound treatment is currently a manual process, and we envision a future where robotics and automation will aid in this treatment to reduce cost and improve patient care. In this work, we present the development of the first robotic system for wound dressing removal which is reported to be the worst aspect of living with chronic wounds. Our method leverages differentiable phy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14282","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/2409.14282/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2409.14282","created_at":"2026-07-05T09:10:14.230802+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.14282v1","created_at":"2026-07-05T09:10:14.230802+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14282","created_at":"2026-07-05T09:10:14.230802+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZYOICQUUIAF4","created_at":"2026-07-05T09:10:14.230802+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZYOICQUUIAF4TWOC","created_at":"2026-07-05T09:10:14.230802+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZYOICQUU","created_at":"2026-07-05T09:10:14.230802+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.19060","citing_title":"Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts","ref_index":3,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU","json":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU.json","graph_json":"https://pith.science/api/pith-number/ZYOICQUUIAF4TWOCE2BHOUQCWU/graph.json","events_json":"https://pith.science/api/pith-number/ZYOICQUUIAF4TWOCE2BHOUQCWU/events.json","paper":"https://pith.science/paper/ZYOICQUU"},"agent_actions":{"view_html":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU","download_json":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU.json","view_paper":"https://pith.science/paper/ZYOICQUU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.14282&json=true","fetch_graph":"https://pith.science/api/pith-number/ZYOICQUUIAF4TWOCE2BHOUQCWU/graph.json","fetch_events":"https://pith.science/api/pith-number/ZYOICQUUIAF4TWOCE2BHOUQCWU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU/action/storage_attestation","attest_author":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU/action/author_attestation","sign_citation":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU/action/citation_signature","submit_replication":"https://pith.science/pith/ZYOICQUUIAF4TWOCE2BHOUQCWU/action/replication_record"}},"created_at":"2026-07-05T09:10:14.230802+00:00","updated_at":"2026-07-05T09:10:14.230802+00:00"}