{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JJUT76YWSMOHWQNYQ3AWAISAXL","short_pith_number":"pith:JJUT76YW","canonical_record":{"source":{"id":"2409.00204","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-08-30T18:38:19Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b7190f4a8b7b839d89b5065075ced976fbe82aa524b3fcab23156f7e13d32040","abstract_canon_sha256":"4ee57bece7ce0297ef4691619b9101ba7ba77efe002639b3b3eb979f1ba47fa5"},"schema_version":"1.0"},"canonical_sha256":"4a693ffb16931c7b41b886c1602240baf9efede770de3e920149f5918d950929","source":{"kind":"arxiv","id":"2409.00204","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00204","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00204v2","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00204","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_12","alias_value":"JJUT76YWSMOH","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_16","alias_value":"JJUT76YWSMOHWQNY","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_8","alias_value":"JJUT76YW","created_at":"2026-07-05T09:22:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JJUT76YWSMOHWQNYQ3AWAISAXL","target":"record","payload":{"canonical_record":{"source":{"id":"2409.00204","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-08-30T18:38:19Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b7190f4a8b7b839d89b5065075ced976fbe82aa524b3fcab23156f7e13d32040","abstract_canon_sha256":"4ee57bece7ce0297ef4691619b9101ba7ba77efe002639b3b3eb979f1ba47fa5"},"schema_version":"1.0"},"canonical_sha256":"4a693ffb16931c7b41b886c1602240baf9efede770de3e920149f5918d950929","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:42.162380Z","signature_b64":"rpz0WsTClWniDNHJkc9PlfRhurInoZiwiky1Uz8J+Md6kWlb72eqU+Vtz5/opnNj3oiUl0ouL6fQ5BZ4/W9mDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a693ffb16931c7b41b886c1602240baf9efede770de3e920149f5918d950929","last_reissued_at":"2026-07-05T09:22:42.161921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:42.161921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.00204","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":"2026-07-05T09:22:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Ihh7yNB6NX7X/mscY/UXZKzRWFv28cLqMQs7CqfJvgeUxCtaSAIE14daE/Ubu2ca2iHPM6dr5QKZ3K2gSTNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:38:49.154303Z"},"content_sha256":"115e3dae9ff82829b60eb31d55c96495892245d1f4f35588d085a9ed4882afbb","schema_version":"1.0","event_id":"sha256:115e3dae9ff82829b60eb31d55c96495892245d1f4f35588d085a9ed4882afbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JJUT76YWSMOHWQNYQ3AWAISAXL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Daji Ergu, Lei Xu, Nengmin Yi, Qingtai Li, Shengbo Tan, Yang Zhao, Ying Cai, Yi Yang, Zeyu Zhang, Zhang Yi","submitted_at":"2024-08-30T18:38:19Z","abstract_excerpt":"Cervical disc herniation (CDH) is a prevalent musculoskeletal disorder that significantly impacts health and requires labor-intensive analysis from experts. Despite advancements in automated detection of medical imaging, two significant challenges hinder the real-world application of these methods. First, the computational complexity and resource demands present a significant gap for real-time application. Second, noise in MRI reduces the effectiveness of existing methods by distorting feature extraction. To address these challenges, we propose three key contributions: Firstly, we introduced M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00204","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/2409.00204/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":"2026-07-05T09:22:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ILRTIs1l6lh258aF5NTmiKwRGFkV3kCEV+lABdGZ6Ol6gZ6TrMggOoUjCfH89bNzI1Njuh2jTGcuMLhPEoXWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:38:49.155433Z"},"content_sha256":"f9440d3596d8694b19c41558947febf090023c99c377775e65425e80b6f6012d","schema_version":"1.0","event_id":"sha256:f9440d3596d8694b19c41558947febf090023c99c377775e65425e80b6f6012d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/bundle.json","state_url":"https://pith.science/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/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":"2026-08-12T07:38:49Z","links":{"resolver":"https://pith.science/pith/JJUT76YWSMOHWQNYQ3AWAISAXL","bundle":"https://pith.science/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/bundle.json","state":"https://pith.science/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJUT76YWSMOHWQNYQ3AWAISAXL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JJUT76YWSMOHWQNYQ3AWAISAXL","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":"4ee57bece7ce0297ef4691619b9101ba7ba77efe002639b3b3eb979f1ba47fa5","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-08-30T18:38:19Z","title_canon_sha256":"b7190f4a8b7b839d89b5065075ced976fbe82aa524b3fcab23156f7e13d32040"},"schema_version":"1.0","source":{"id":"2409.00204","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00204","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00204v2","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00204","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_12","alias_value":"JJUT76YWSMOH","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_16","alias_value":"JJUT76YWSMOHWQNY","created_at":"2026-07-05T09:22:42Z"},{"alias_kind":"pith_short_8","alias_value":"JJUT76YW","created_at":"2026-07-05T09:22:42Z"}],"graph_snapshots":[{"event_id":"sha256:f9440d3596d8694b19c41558947febf090023c99c377775e65425e80b6f6012d","target":"graph","created_at":"2026-07-05T09:22:42Z","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/2409.00204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cervical disc herniation (CDH) is a prevalent musculoskeletal disorder that significantly impacts health and requires labor-intensive analysis from experts. Despite advancements in automated detection of medical imaging, two significant challenges hinder the real-world application of these methods. First, the computational complexity and resource demands present a significant gap for real-time application. Second, noise in MRI reduces the effectiveness of existing methods by distorting feature extraction. To address these challenges, we propose three key contributions: Firstly, we introduced M","authors_text":"Daji Ergu, Lei Xu, Nengmin Yi, Qingtai Li, Shengbo Tan, Yang Zhao, Ying Cai, Yi Yang, Zeyu Zhang, Zhang Yi","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-08-30T18:38:19Z","title":"MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00204","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":"sha256:115e3dae9ff82829b60eb31d55c96495892245d1f4f35588d085a9ed4882afbb","target":"record","created_at":"2026-07-05T09:22:42Z","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":"4ee57bece7ce0297ef4691619b9101ba7ba77efe002639b3b3eb979f1ba47fa5","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-08-30T18:38:19Z","title_canon_sha256":"b7190f4a8b7b839d89b5065075ced976fbe82aa524b3fcab23156f7e13d32040"},"schema_version":"1.0","source":{"id":"2409.00204","kind":"arxiv","version":2}},"canonical_sha256":"4a693ffb16931c7b41b886c1602240baf9efede770de3e920149f5918d950929","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a693ffb16931c7b41b886c1602240baf9efede770de3e920149f5918d950929","first_computed_at":"2026-07-05T09:22:42.161921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:42.161921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rpz0WsTClWniDNHJkc9PlfRhurInoZiwiky1Uz8J+Md6kWlb72eqU+Vtz5/opnNj3oiUl0ouL6fQ5BZ4/W9mDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:42.162380Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00204","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:115e3dae9ff82829b60eb31d55c96495892245d1f4f35588d085a9ed4882afbb","sha256:f9440d3596d8694b19c41558947febf090023c99c377775e65425e80b6f6012d"],"state_sha256":"92a4147d446bde414d36e57ee047badf8deea2bab3d45c949f2ee0fccb12c5d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iq3eTJqoA6PaK5b1Gy8W7Q1ObYHDHeqnYXYmg+yXVH58dGODguQ2cvUJ1RFEnZRjBxeWQOCRAbEBbmv7jZ9YDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T07:38:49.161918Z","bundle_sha256":"0a077792ddee18eabc533e132631bef70688e882ae220be7cdea7198d94e4bab"}}