{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:7UYC3FJYOY62PKHKKO7UTZII7N","short_pith_number":"pith:7UYC3FJY","schema_version":"1.0","canonical_sha256":"fd302d9538763da7a8ea53bf49e508fb749193ee7a3f84b261a83abb541d5e39","source":{"kind":"arxiv","id":"2111.10614","version":1},"attestation_state":"computed","paper":{"title":"GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Abhishek Srivastava, Debesh Jha, Sharib Ali, Sukalpa Chanda, Umapada Pal","submitted_at":"2021-11-20T15:41:59Z","abstract_excerpt":"Colonoscopy is a gold standard procedure but is highly operator-dependent. Efforts have been made to automate the detection and segmentation of polyps, a precancerous precursor, to effectively minimize missed rate. Widely used computer-aided polyp segmentation systems actuated by encoder-decoder have achieved high performance in terms of accuracy. However, polyp segmentation datasets collected from varied centers can follow different imaging protocols leading to difference in data distribution. As a result, most methods suffer from performance drop and require re-training for each specific dat"},"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":"2111.10614","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-11-20T15:41:59Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"da0b903360ceed7183dfdf13b81093ae4c46304969fa67f86d8049f8fd317a2a","abstract_canon_sha256":"0f29507bfed5d2c22f62d762b567f1406d2811483c57c7f2e1d075d796abd7af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:33:54.912798Z","signature_b64":"zn6xgY6xyV95C1YxaK98TOgd05JvN1iij3oDYFjuNob7PpjnVLxx8Z0G51qbowhQs9ZtkAAwy6kVp++9BAWjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd302d9538763da7a8ea53bf49e508fb749193ee7a3f84b261a83abb541d5e39","last_reissued_at":"2026-07-05T03:33:54.912349Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:33:54.912349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Abhishek Srivastava, Debesh Jha, Sharib Ali, Sukalpa Chanda, Umapada Pal","submitted_at":"2021-11-20T15:41:59Z","abstract_excerpt":"Colonoscopy is a gold standard procedure but is highly operator-dependent. Efforts have been made to automate the detection and segmentation of polyps, a precancerous precursor, to effectively minimize missed rate. Widely used computer-aided polyp segmentation systems actuated by encoder-decoder have achieved high performance in terms of accuracy. However, polyp segmentation datasets collected from varied centers can follow different imaging protocols leading to difference in data distribution. As a result, most methods suffer from performance drop and require re-training for each specific dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.10614","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/2111.10614/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":"2111.10614","created_at":"2026-07-05T03:33:54.912425+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.10614v1","created_at":"2026-07-05T03:33:54.912425+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.10614","created_at":"2026-07-05T03:33:54.912425+00:00"},{"alias_kind":"pith_short_12","alias_value":"7UYC3FJYOY62","created_at":"2026-07-05T03:33:54.912425+00:00"},{"alias_kind":"pith_short_16","alias_value":"7UYC3FJYOY62PKHK","created_at":"2026-07-05T03:33:54.912425+00:00"},{"alias_kind":"pith_short_8","alias_value":"7UYC3FJY","created_at":"2026-07-05T03:33:54.912425+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N","json":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N.json","graph_json":"https://pith.science/api/pith-number/7UYC3FJYOY62PKHKKO7UTZII7N/graph.json","events_json":"https://pith.science/api/pith-number/7UYC3FJYOY62PKHKKO7UTZII7N/events.json","paper":"https://pith.science/paper/7UYC3FJY"},"agent_actions":{"view_html":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N","download_json":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N.json","view_paper":"https://pith.science/paper/7UYC3FJY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.10614&json=true","fetch_graph":"https://pith.science/api/pith-number/7UYC3FJYOY62PKHKKO7UTZII7N/graph.json","fetch_events":"https://pith.science/api/pith-number/7UYC3FJYOY62PKHKKO7UTZII7N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N/action/storage_attestation","attest_author":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N/action/author_attestation","sign_citation":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N/action/citation_signature","submit_replication":"https://pith.science/pith/7UYC3FJYOY62PKHKKO7UTZII7N/action/replication_record"}},"created_at":"2026-07-05T03:33:54.912425+00:00","updated_at":"2026-07-05T03:33:54.912425+00:00"}