{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DOW7S4N3KFRIIGIQX2VTMKBKK3","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":"29291ec019a20191b908724fdfbc5fb9665345052b625f99e7fd2b3d6c5fed31","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-10-03T01:19:21Z","title_canon_sha256":"e57c40a1b408bb56afb260a949a010e3694ecaeba3a4a261301700611ec2e236"},"schema_version":"1.0","source":{"id":"2410.02129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.02129","created_at":"2026-07-05T09:15:00Z"},{"alias_kind":"arxiv_version","alias_value":"2410.02129v1","created_at":"2026-07-05T09:15:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.02129","created_at":"2026-07-05T09:15:00Z"},{"alias_kind":"pith_short_12","alias_value":"DOW7S4N3KFRI","created_at":"2026-07-05T09:15:00Z"},{"alias_kind":"pith_short_16","alias_value":"DOW7S4N3KFRIIGIQ","created_at":"2026-07-05T09:15:00Z"},{"alias_kind":"pith_short_8","alias_value":"DOW7S4N3","created_at":"2026-07-05T09:15:00Z"}],"graph_snapshots":[{"event_id":"sha256:29607de5b98345d00ec94c2383c09f82cf1a061bd42757c455625aa27aee0e88","target":"graph","created_at":"2026-07-05T09:15:00Z","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/2410.02129/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNNs) have shown great effectiveness in medical image segmentation. However, they may be limited in modeling large inter-subject variations in organ shapes and sizes and exploiting global long-range contextual information. This is because CNNs typically employ convolutions with fixed-sized local receptive fields and lack the mechanisms to utilize global information. To address these limitations, we developed Dynamic Multi-Resolution Convolution (DMRC) and Dynamic Multi-Scale Convolution (DMSC) modules. Both modules enhance the representation capabilities of singl","authors_text":"Aristeidis Sotiras, Daniel S. Marcus, Jin Yang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-10-03T01:19:21Z","title":"DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.02129","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:d84e16301a6c203b2ab2a676107784eb9097edf5ba5d8ab313283d06c58173b6","target":"record","created_at":"2026-07-05T09:15:00Z","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":"29291ec019a20191b908724fdfbc5fb9665345052b625f99e7fd2b3d6c5fed31","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-10-03T01:19:21Z","title_canon_sha256":"e57c40a1b408bb56afb260a949a010e3694ecaeba3a4a261301700611ec2e236"},"schema_version":"1.0","source":{"id":"2410.02129","kind":"arxiv","version":1}},"canonical_sha256":"1badf971bb5162841910beab36282a56d19ef676bf61e47f67bf5fd5f40f7be1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1badf971bb5162841910beab36282a56d19ef676bf61e47f67bf5fd5f40f7be1","first_computed_at":"2026-07-05T09:15:00.564120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:00.564120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i1joa/LBu6n+4ODTEd079frLbTbqkTi7hTXCkHGDO/NIrox3qyxEiIdWxV2cm1N16mLBacGuWfrfW9C2PsyvDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:00.564517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.02129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d84e16301a6c203b2ab2a676107784eb9097edf5ba5d8ab313283d06c58173b6","sha256:29607de5b98345d00ec94c2383c09f82cf1a061bd42757c455625aa27aee0e88"],"state_sha256":"64a9747eebc2266c6bcf1ac33ff1b6a611118ace4663b9566b9b4c7a5f0a126d"}