{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GEDR77QZUJXAJQNGTNXTYYUNJH","short_pith_number":"pith:GEDR77QZ","canonical_record":{"source":{"id":"2508.04131","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T06:57:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"acbd3bb47f51fdc3978da1b808b1e4b16a5f034c440db9d3a988e971009fc651","abstract_canon_sha256":"3482d03e34401f7e804c40583ae250caf3a3fbfaac433979113a240367d02214"},"schema_version":"1.0"},"canonical_sha256":"31071ffe19a26e04c1a69b6f3c628d49e5249418171c320190567f673ba36260","source":{"kind":"arxiv","id":"2508.04131","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04131","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04131v2","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04131","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_12","alias_value":"GEDR77QZUJXA","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_16","alias_value":"GEDR77QZUJXAJQNG","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_8","alias_value":"GEDR77QZ","created_at":"2026-07-05T11:51:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GEDR77QZUJXAJQNGTNXTYYUNJH","target":"record","payload":{"canonical_record":{"source":{"id":"2508.04131","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T06:57:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"acbd3bb47f51fdc3978da1b808b1e4b16a5f034c440db9d3a988e971009fc651","abstract_canon_sha256":"3482d03e34401f7e804c40583ae250caf3a3fbfaac433979113a240367d02214"},"schema_version":"1.0"},"canonical_sha256":"31071ffe19a26e04c1a69b6f3c628d49e5249418171c320190567f673ba36260","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:34.647668Z","signature_b64":"gklOf+RwX4DrKV/Ys+4QYhEvNyAt9LdjZm/Av6m6hQFqjuMO/H+C5C9NJpSdmDY7DkS8hjJQYrzoF2YhlJfyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31071ffe19a26e04c1a69b6f3c628d49e5249418171c320190567f673ba36260","last_reissued_at":"2026-07-05T11:51:34.647191Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:34.647191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.04131","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:51:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fwqJD4yky8ABAPkNR1Byq9+uej3hnIj7aWd6tC0bpR1cvfHpiEq8GoPTXwCHLUtstweMDYAhLPR2YXJPL1L/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T01:49:51.072465Z"},"content_sha256":"ba567adcb526dbebdb404ff123dfe88dbffb850ee437661fb0668dc0d2b23d49","schema_version":"1.0","event_id":"sha256:ba567adcb526dbebdb404ff123dfe88dbffb850ee437661fb0668dc0d2b23d49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GEDR77QZUJXAJQNGTNXTYYUNJH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DS$^2$Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Guorong Cai, Rongrong Ji, Taojian Zhou, Yuxin Zhang, Zhaohong Huang","submitted_at":"2025-08-06T06:57:36Z","abstract_excerpt":"Deep Supervision Networks exhibit significant efficacy for the medical imaging community. Nevertheless, existing work merely supervises either the coarse-grained semantic features or fine-grained detailed features in isolation, which compromises the fact that these two types of features hold vital relationships in medical image analysis. We advocate the powers of complementary feature supervision for medical image segmentation, by proposing a Detail-Semantic Deep Supervision Network (DS$^2$Net). DS$^2$Net navigates both low-level detailed and high-level semantic feature supervision through Det"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04131","kind":"arxiv","version":2},"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/2508.04131/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":"2026-07-05T11:51:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OGAqcJZTi1A9LMh7s1IE4kpFBAlJXZWPmRASwYArNinpXesUR2YAQEpxTJD7dHqH78PYyfEBn/D1RcKbD8hwDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T01:49:51.073412Z"},"content_sha256":"c124261709dd76602ac62cf73306e148b3ba99ac66c0aa58e3a191d7f47d7d02","schema_version":"1.0","event_id":"sha256:c124261709dd76602ac62cf73306e148b3ba99ac66c0aa58e3a191d7f47d7d02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/bundle.json","state_url":"https://pith.science/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/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":"2026-08-18T01:49:51Z","links":{"resolver":"https://pith.science/pith/GEDR77QZUJXAJQNGTNXTYYUNJH","bundle":"https://pith.science/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/bundle.json","state":"https://pith.science/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GEDR77QZUJXAJQNGTNXTYYUNJH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEDR77QZUJXAJQNGTNXTYYUNJH","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":"3482d03e34401f7e804c40583ae250caf3a3fbfaac433979113a240367d02214","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T06:57:36Z","title_canon_sha256":"acbd3bb47f51fdc3978da1b808b1e4b16a5f034c440db9d3a988e971009fc651"},"schema_version":"1.0","source":{"id":"2508.04131","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04131","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04131v2","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04131","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_12","alias_value":"GEDR77QZUJXA","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_16","alias_value":"GEDR77QZUJXAJQNG","created_at":"2026-07-05T11:51:34Z"},{"alias_kind":"pith_short_8","alias_value":"GEDR77QZ","created_at":"2026-07-05T11:51:34Z"}],"graph_snapshots":[{"event_id":"sha256:c124261709dd76602ac62cf73306e148b3ba99ac66c0aa58e3a191d7f47d7d02","target":"graph","created_at":"2026-07-05T11:51:34Z","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/2508.04131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Supervision Networks exhibit significant efficacy for the medical imaging community. Nevertheless, existing work merely supervises either the coarse-grained semantic features or fine-grained detailed features in isolation, which compromises the fact that these two types of features hold vital relationships in medical image analysis. We advocate the powers of complementary feature supervision for medical image segmentation, by proposing a Detail-Semantic Deep Supervision Network (DS$^2$Net). DS$^2$Net navigates both low-level detailed and high-level semantic feature supervision through Det","authors_text":"Guorong Cai, Rongrong Ji, Taojian Zhou, Yuxin Zhang, Zhaohong Huang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T06:57:36Z","title":"DS$^2$Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04131","kind":"arxiv","version":2},"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:ba567adcb526dbebdb404ff123dfe88dbffb850ee437661fb0668dc0d2b23d49","target":"record","created_at":"2026-07-05T11:51:34Z","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":"3482d03e34401f7e804c40583ae250caf3a3fbfaac433979113a240367d02214","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T06:57:36Z","title_canon_sha256":"acbd3bb47f51fdc3978da1b808b1e4b16a5f034c440db9d3a988e971009fc651"},"schema_version":"1.0","source":{"id":"2508.04131","kind":"arxiv","version":2}},"canonical_sha256":"31071ffe19a26e04c1a69b6f3c628d49e5249418171c320190567f673ba36260","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31071ffe19a26e04c1a69b6f3c628d49e5249418171c320190567f673ba36260","first_computed_at":"2026-07-05T11:51:34.647191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:51:34.647191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gklOf+RwX4DrKV/Ys+4QYhEvNyAt9LdjZm/Av6m6hQFqjuMO/H+C5C9NJpSdmDY7DkS8hjJQYrzoF2YhlJfyBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:51:34.647668Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.04131","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba567adcb526dbebdb404ff123dfe88dbffb850ee437661fb0668dc0d2b23d49","sha256:c124261709dd76602ac62cf73306e148b3ba99ac66c0aa58e3a191d7f47d7d02"],"state_sha256":"2a9202ab0c89ef442f7b094b1a5f763294f6cc0feeaa256ece8cf1f30c075b86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0+aXbybwPBqv0hZZQM6wrvi/Ro6Di+5L03mPHAwRl16ZKoYVzaE74zdgB73f6lPhMhkmApLK/skMkeBFxOo6Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T01:49:51.081518Z","bundle_sha256":"ea3f72a61a2b8d4025e3d89e03d4258ba15c687792401f19b5a29ad00070d06b"}}