{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:42PSHCCOG6ZNOWDAX7BT67DBMO","short_pith_number":"pith:42PSHCCO","schema_version":"1.0","canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","source":{"kind":"arxiv","id":"2607.00409","version":1},"attestation_state":"computed","paper":{"title":"MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daeyoung Kim, Dinh Phu Tran, Patrick Dominique Vibild, Saad Wazir, Seongah Kim","submitted_at":"2026-07-01T04:07:20Z","abstract_excerpt":"Medical image segmentation relies on the ability of encoder-decoder architectures to translate rich feature representations into accurate pixel-level predictions under challenging conditions such as low contrast, structural ambiguity, and scale variability. While recent advances in large-scale pretraining and transformer-based encoders have substantially improved feature extraction, segmentation accuracy remains constrained by decoder design, particularly in terms of cross-scale alignment, contextual integration, and boundary preservation. In this work, we revisit medical image segmentation fr"},"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":"2607.00409","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T04:07:20Z","cross_cats_sorted":[],"title_canon_sha256":"aaa2d32c764f8343662a0ea43edbd1e735d80f5dc1e05a1c78c5cd40dd4b15fd","abstract_canon_sha256":"935cf340e6624b40c4f18504163403ff6bf34aa801efbb2a957b1747a31097b1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:17:42.623267Z","signature_b64":"V4I8aOtJU8NyyFk2JF+j5nxpmjgA4Z0II1uGoEBNHVJmJaEbkFCFqGYI82PCJ0N6pQbgZpgoF5Pk2iaa9TasAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","last_reissued_at":"2026-07-02T01:17:42.622908Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:17:42.622908Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daeyoung Kim, Dinh Phu Tran, Patrick Dominique Vibild, Saad Wazir, Seongah Kim","submitted_at":"2026-07-01T04:07:20Z","abstract_excerpt":"Medical image segmentation relies on the ability of encoder-decoder architectures to translate rich feature representations into accurate pixel-level predictions under challenging conditions such as low contrast, structural ambiguity, and scale variability. While recent advances in large-scale pretraining and transformer-based encoders have substantially improved feature extraction, segmentation accuracy remains constrained by decoder design, particularly in terms of cross-scale alignment, contextual integration, and boundary preservation. In this work, we revisit medical image segmentation fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00409","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/2607.00409/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":"2607.00409","created_at":"2026-07-02T01:17:42.622964+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.00409v1","created_at":"2026-07-02T01:17:42.622964+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00409","created_at":"2026-07-02T01:17:42.622964+00:00"},{"alias_kind":"pith_short_12","alias_value":"42PSHCCOG6ZN","created_at":"2026-07-02T01:17:42.622964+00:00"},{"alias_kind":"pith_short_16","alias_value":"42PSHCCOG6ZNOWDA","created_at":"2026-07-02T01:17:42.622964+00:00"},{"alias_kind":"pith_short_8","alias_value":"42PSHCCO","created_at":"2026-07-02T01:17:42.622964+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/42PSHCCOG6ZNOWDAX7BT67DBMO","json":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO.json","graph_json":"https://pith.science/api/pith-number/42PSHCCOG6ZNOWDAX7BT67DBMO/graph.json","events_json":"https://pith.science/api/pith-number/42PSHCCOG6ZNOWDAX7BT67DBMO/events.json","paper":"https://pith.science/paper/42PSHCCO"},"agent_actions":{"view_html":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO","download_json":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO.json","view_paper":"https://pith.science/paper/42PSHCCO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.00409&json=true","fetch_graph":"https://pith.science/api/pith-number/42PSHCCOG6ZNOWDAX7BT67DBMO/graph.json","fetch_events":"https://pith.science/api/pith-number/42PSHCCOG6ZNOWDAX7BT67DBMO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/action/storage_attestation","attest_author":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/action/author_attestation","sign_citation":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/action/citation_signature","submit_replication":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/action/replication_record"}},"created_at":"2026-07-02T01:17:42.622964+00:00","updated_at":"2026-07-02T01:17:42.622964+00:00"}