{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:42PSHCCOG6ZNOWDAX7BT67DBMO","short_pith_number":"pith:42PSHCCO","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"},"canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","source":{"kind":"arxiv","id":"2607.00409","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00409","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00409v1","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00409","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_12","alias_value":"42PSHCCOG6ZN","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_16","alias_value":"42PSHCCOG6ZNOWDA","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_8","alias_value":"42PSHCCO","created_at":"2026-07-02T01:17:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:42PSHCCOG6ZNOWDAX7BT67DBMO","target":"record","payload":{"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"},"canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","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"},"source_kind":"arxiv","source_id":"2607.00409","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":"2026-07-02T01:17:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B+YRTV6sAluxbb4VjpC4M5Fi0nF52bKMs/YF+4iaoFpbhaljmOY4mpDm7MywciptMMdAi0cqUFCl/klL+9bhCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T09:14:26.337403Z"},"content_sha256":"2a478fb5bce252ccf59e009d88ceaec69e0a8d57bca0e1a947520d34774aa127","schema_version":"1.0","event_id":"sha256:2a478fb5bce252ccf59e009d88ceaec69e0a8d57bca0e1a947520d34774aa127"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:42PSHCCOG6ZNOWDAX7BT67DBMO","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-02T01:17:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kdBwt8F9B4RKcde4sFO/FkDseSGB9DsztBbX0x/6h9YI17GJWF+XTooi4VA0XeWjKBDW7DHyJLd61DdI6UAwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T09:14:26.337786Z"},"content_sha256":"4d43507b5f03712d0d7bbd9663c405e43a179c305f6e17d3032317917188ca85","schema_version":"1.0","event_id":"sha256:4d43507b5f03712d0d7bbd9663c405e43a179c305f6e17d3032317917188ca85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/bundle.json","state_url":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/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":"2026-07-03T09:14:26Z","links":{"resolver":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO","bundle":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/bundle.json","state":"https://pith.science/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/42PSHCCOG6ZNOWDAX7BT67DBMO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:42PSHCCOG6ZNOWDAX7BT67DBMO","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":"935cf340e6624b40c4f18504163403ff6bf34aa801efbb2a957b1747a31097b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T04:07:20Z","title_canon_sha256":"aaa2d32c764f8343662a0ea43edbd1e735d80f5dc1e05a1c78c5cd40dd4b15fd"},"schema_version":"1.0","source":{"id":"2607.00409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00409","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00409v1","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00409","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_12","alias_value":"42PSHCCOG6ZN","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_16","alias_value":"42PSHCCOG6ZNOWDA","created_at":"2026-07-02T01:17:42Z"},{"alias_kind":"pith_short_8","alias_value":"42PSHCCO","created_at":"2026-07-02T01:17:42Z"}],"graph_snapshots":[{"event_id":"sha256:4d43507b5f03712d0d7bbd9663c405e43a179c305f6e17d3032317917188ca85","target":"graph","created_at":"2026-07-02T01:17:42Z","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/2607.00409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"Daeyoung Kim, Dinh Phu Tran, Patrick Dominique Vibild, Saad Wazir, Seongah Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T04:07:20Z","title":"MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00409","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":"sha256:2a478fb5bce252ccf59e009d88ceaec69e0a8d57bca0e1a947520d34774aa127","target":"record","created_at":"2026-07-02T01:17:42Z","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":"935cf340e6624b40c4f18504163403ff6bf34aa801efbb2a957b1747a31097b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T04:07:20Z","title_canon_sha256":"aaa2d32c764f8343662a0ea43edbd1e735d80f5dc1e05a1c78c5cd40dd4b15fd"},"schema_version":"1.0","source":{"id":"2607.00409","kind":"arxiv","version":1}},"canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e69f23884e37b2d75860bfc33f7c6163a8396565e018535be3d380c7ecd1b69f","first_computed_at":"2026-07-02T01:17:42.622908Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:17:42.622908Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V4I8aOtJU8NyyFk2JF+j5nxpmjgA4Z0II1uGoEBNHVJmJaEbkFCFqGYI82PCJ0N6pQbgZpgoF5Pk2iaa9TasAQ==","signature_status":"signed_v1","signed_at":"2026-07-02T01:17:42.623267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a478fb5bce252ccf59e009d88ceaec69e0a8d57bca0e1a947520d34774aa127","sha256:4d43507b5f03712d0d7bbd9663c405e43a179c305f6e17d3032317917188ca85"],"state_sha256":"512ebc1afc3ef2ed24f6fc7b490e6c10c265b0ce7ae54e1c24475dd883c2c883"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RC9GZKOO6cLYNlHev/QQEs06S2ZY8w0objxA2RZK0Lo1hxusGTjOJQKiGCuYu6xBcBhoomCR/sUzqB9HwUoQDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T09:14:26.339793Z","bundle_sha256":"6d9fe99175760a15a784c102403e732b7ebe348981101df842b111ce9aa456b7"}}