{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:W4E3BWT64BQFRD3GZJJENHJ7XJ","short_pith_number":"pith:W4E3BWT6","canonical_record":{"source":{"id":"2010.09456","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-19T13:06:23Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"70058fd4fe15d20fb441a69aa2839258e032a504f51429fb02ff086e97af8de4","abstract_canon_sha256":"a2b0c3e005bdb926f7766fab49acb901a85276e83a720a9f0f1189bc31785057"},"schema_version":"1.0"},"canonical_sha256":"b709b0da7ee060588f66ca52469d3fba5859eeeba25050d9a55441e541f90559","source":{"kind":"arxiv","id":"2010.09456","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.09456","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"arxiv_version","alias_value":"2010.09456v1","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.09456","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_12","alias_value":"W4E3BWT64BQF","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_16","alias_value":"W4E3BWT64BQFRD3G","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_8","alias_value":"W4E3BWT6","created_at":"2026-07-05T01:44:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:W4E3BWT64BQFRD3GZJJENHJ7XJ","target":"record","payload":{"canonical_record":{"source":{"id":"2010.09456","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-19T13:06:23Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"70058fd4fe15d20fb441a69aa2839258e032a504f51429fb02ff086e97af8de4","abstract_canon_sha256":"a2b0c3e005bdb926f7766fab49acb901a85276e83a720a9f0f1189bc31785057"},"schema_version":"1.0"},"canonical_sha256":"b709b0da7ee060588f66ca52469d3fba5859eeeba25050d9a55441e541f90559","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:44:04.207184Z","signature_b64":"ZiMx0+u46SGym1ft/7jjQp886NYPGF/BLy1mLBW6OzPOZn4B60B/PJAkbVRpDXEgrXDA1zB4XsdEtYA7K2+5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b709b0da7ee060588f66ca52469d3fba5859eeeba25050d9a55441e541f90559","last_reissued_at":"2026-07-05T01:44:04.206842Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:44:04.206842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.09456","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":"2026-07-05T01:44:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KjFBid9UzW4UveVI4VzXNuKspDHMmz5pbyFU97oXAcKAFltWkuhA59LkET7pAFhZm6/jKBCHX/8DSOtqVCUJAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:35:09.024978Z"},"content_sha256":"1ef388bc5d4309b07c4301fc58f521da7cb4c092486116fa609920d50af54c1f","schema_version":"1.0","event_id":"sha256:1ef388bc5d4309b07c4301fc58f521da7cb4c092486116fa609920d50af54c1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:W4E3BWT64BQFRD3GZJJENHJ7XJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Cheng Jin, Guozhu Shao, Heshui Shi, Jianjiang Feng, Jie Zhou, Xiaoqing Liu, Yukun Cao, Zhanwei Xu","submitted_at":"2020-10-19T13:06:23Z","abstract_excerpt":"Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients. Due to the complex shapes and varied appearances of lesions, a large number of voxel-level labeled samples are generally required to train a lesion segmentation network, which is a main bottleneck for developing deep learning based medical image segmentation algorithms. In this paper, we propose a weakly-supervised lesion segmentation framework by embedding the Generative Adversarial training process into the Segmentation Network, which is called GASNet. GASNet "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.09456","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/2010.09456/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":"2026-07-05T01:44:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GjlAVdpUuKCyPbUuA7gtRZn6MXIApowVMmwojtTnlPVdx2RZ90gLcmJFRy6KqcKtTw/lnkwNV+lqqJVN7eVzCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:35:09.025360Z"},"content_sha256":"4ecd2a3ebaa707016ebcbd875d02b4fc476aeb6b60f8be3f51ffe1fbe9c31e6e","schema_version":"1.0","event_id":"sha256:4ecd2a3ebaa707016ebcbd875d02b4fc476aeb6b60f8be3f51ffe1fbe9c31e6e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/bundle.json","state_url":"https://pith.science/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/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":"2026-07-05T09:35:09Z","links":{"resolver":"https://pith.science/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ","bundle":"https://pith.science/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/bundle.json","state":"https://pith.science/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W4E3BWT64BQFRD3GZJJENHJ7XJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:W4E3BWT64BQFRD3GZJJENHJ7XJ","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":"a2b0c3e005bdb926f7766fab49acb901a85276e83a720a9f0f1189bc31785057","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-19T13:06:23Z","title_canon_sha256":"70058fd4fe15d20fb441a69aa2839258e032a504f51429fb02ff086e97af8de4"},"schema_version":"1.0","source":{"id":"2010.09456","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.09456","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"arxiv_version","alias_value":"2010.09456v1","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.09456","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_12","alias_value":"W4E3BWT64BQF","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_16","alias_value":"W4E3BWT64BQFRD3G","created_at":"2026-07-05T01:44:04Z"},{"alias_kind":"pith_short_8","alias_value":"W4E3BWT6","created_at":"2026-07-05T01:44:04Z"}],"graph_snapshots":[{"event_id":"sha256:4ecd2a3ebaa707016ebcbd875d02b4fc476aeb6b60f8be3f51ffe1fbe9c31e6e","target":"graph","created_at":"2026-07-05T01:44:04Z","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/2010.09456/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients. Due to the complex shapes and varied appearances of lesions, a large number of voxel-level labeled samples are generally required to train a lesion segmentation network, which is a main bottleneck for developing deep learning based medical image segmentation algorithms. In this paper, we propose a weakly-supervised lesion segmentation framework by embedding the Generative Adversarial training process into the Segmentation Network, which is called GASNet. GASNet ","authors_text":"Cheng Jin, Guozhu Shao, Heshui Shi, Jianjiang Feng, Jie Zhou, Xiaoqing Liu, Yukun Cao, Zhanwei Xu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-19T13:06:23Z","title":"GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.09456","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":"sha256:1ef388bc5d4309b07c4301fc58f521da7cb4c092486116fa609920d50af54c1f","target":"record","created_at":"2026-07-05T01:44:04Z","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":"a2b0c3e005bdb926f7766fab49acb901a85276e83a720a9f0f1189bc31785057","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-19T13:06:23Z","title_canon_sha256":"70058fd4fe15d20fb441a69aa2839258e032a504f51429fb02ff086e97af8de4"},"schema_version":"1.0","source":{"id":"2010.09456","kind":"arxiv","version":1}},"canonical_sha256":"b709b0da7ee060588f66ca52469d3fba5859eeeba25050d9a55441e541f90559","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b709b0da7ee060588f66ca52469d3fba5859eeeba25050d9a55441e541f90559","first_computed_at":"2026-07-05T01:44:04.206842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:44:04.206842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZiMx0+u46SGym1ft/7jjQp886NYPGF/BLy1mLBW6OzPOZn4B60B/PJAkbVRpDXEgrXDA1zB4XsdEtYA7K2+5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:44:04.207184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.09456","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ef388bc5d4309b07c4301fc58f521da7cb4c092486116fa609920d50af54c1f","sha256:4ecd2a3ebaa707016ebcbd875d02b4fc476aeb6b60f8be3f51ffe1fbe9c31e6e"],"state_sha256":"12a144a55f96dc39f8223a477bc08e9459a6a798202abffc913d7a254b4b18f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RX6DtjWebdkEGeM47sOfa7Baw7shX5AlThJTfbz4P7Dzn7YFBkg1wbbZtzRAFPEkcl51kQBbcRZGb8aC/oCHDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T09:35:09.027491Z","bundle_sha256":"5a6902510cfe30802a282a06d61e91bd4b31ce8bd7e777c36625db1917bfad94"}}