{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:M7JXMVCWGYDEIJS4SBHT742ERW","short_pith_number":"pith:M7JXMVCW","canonical_record":{"source":{"id":"2307.03942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2023-07-08T09:36:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2fe61c2bd98bff6bcbcb6d3a026ea3908dd6374bdc6d3c13804088774301816b","abstract_canon_sha256":"71d3dbc701cc5609ab35aa5e2212db1b030be9fa8a243166820146172d37b04d"},"schema_version":"1.0"},"canonical_sha256":"67d3765456360644265c904f3ff3448dab0efe804f83769fc5cdb5454f845798","source":{"kind":"arxiv","id":"2307.03942","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.03942","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"arxiv_version","alias_value":"2307.03942v1","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03942","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_12","alias_value":"M7JXMVCWGYDE","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_16","alias_value":"M7JXMVCWGYDEIJS4","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_8","alias_value":"M7JXMVCW","created_at":"2026-07-05T06:29:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:M7JXMVCWGYDEIJS4SBHT742ERW","target":"record","payload":{"canonical_record":{"source":{"id":"2307.03942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2023-07-08T09:36:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2fe61c2bd98bff6bcbcb6d3a026ea3908dd6374bdc6d3c13804088774301816b","abstract_canon_sha256":"71d3dbc701cc5609ab35aa5e2212db1b030be9fa8a243166820146172d37b04d"},"schema_version":"1.0"},"canonical_sha256":"67d3765456360644265c904f3ff3448dab0efe804f83769fc5cdb5454f845798","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:29:06.012816Z","signature_b64":"HmV54yuDFaCnmuGikCPWK9xUd/gQox0qS5wrHO0yhhjYNIM82wu7M6ijRFVvWANyoD+9nKmn++chNpFbMj8QAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67d3765456360644265c904f3ff3448dab0efe804f83769fc5cdb5454f845798","last_reissued_at":"2026-07-05T06:29:06.012341Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:29:06.012341Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.03942","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":"2026-07-05T06:29:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8drv5KOD0Auu+Kb9fVngHXzo54L4uH6X7sHkOOGSs1uC9QSYxZvn6evgf6tas/IChv6og73G8NJqE5cumfs4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:15:19.357330Z"},"content_sha256":"8f1b975f18a93d354e1b7ffd30ff0c4f7bb234ba20e0b15591981cdb3260c0c7","schema_version":"1.0","event_id":"sha256:8f1b975f18a93d354e1b7ffd30ff0c4f7bb234ba20e0b15591981cdb3260c0c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:M7JXMVCWGYDEIJS4SBHT742ERW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Kaixin Chen, Kongming Liang, Mengqiu Xu, Ming Wu, Yi Zhong","submitted_at":"2023-07-08T09:36:17Z","abstract_excerpt":"Segmentation of the infected areas of the lung is essential for quantifying the severity of lung disease like pulmonary infections. Existing medical image segmentation methods are almost uni-modal methods based on image. However, these image-only methods tend to produce inaccurate results unless trained with large amounts of annotated data. To overcome this challenge, we propose a language-driven segmentation method that uses text prompt to improve to the segmentation result. Experiments on the QaTa-COV19 dataset indicate that our method improves the Dice score by 6.09% at least compared to th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03942","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/2307.03942/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":"2026-07-05T06:29:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VzzNudSOOa2Vlvz6+DP+IvxZCXLlIqWOmBXJ/lzVZJDbwZMUNUD6WimdxeQo7fKLqszvkBNS3qt1RcmfSKMdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:15:19.357855Z"},"content_sha256":"69be47af4288730ce6b9b5ce2a1968aeca7e3976be563a40596b4d891372111b","schema_version":"1.0","event_id":"sha256:69be47af4288730ce6b9b5ce2a1968aeca7e3976be563a40596b4d891372111b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M7JXMVCWGYDEIJS4SBHT742ERW/bundle.json","state_url":"https://pith.science/pith/M7JXMVCWGYDEIJS4SBHT742ERW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M7JXMVCWGYDEIJS4SBHT742ERW/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":"2026-08-07T04:15:19Z","links":{"resolver":"https://pith.science/pith/M7JXMVCWGYDEIJS4SBHT742ERW","bundle":"https://pith.science/pith/M7JXMVCWGYDEIJS4SBHT742ERW/bundle.json","state":"https://pith.science/pith/M7JXMVCWGYDEIJS4SBHT742ERW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M7JXMVCWGYDEIJS4SBHT742ERW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:M7JXMVCWGYDEIJS4SBHT742ERW","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":"71d3dbc701cc5609ab35aa5e2212db1b030be9fa8a243166820146172d37b04d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2023-07-08T09:36:17Z","title_canon_sha256":"2fe61c2bd98bff6bcbcb6d3a026ea3908dd6374bdc6d3c13804088774301816b"},"schema_version":"1.0","source":{"id":"2307.03942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.03942","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"arxiv_version","alias_value":"2307.03942v1","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03942","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_12","alias_value":"M7JXMVCWGYDE","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_16","alias_value":"M7JXMVCWGYDEIJS4","created_at":"2026-07-05T06:29:06Z"},{"alias_kind":"pith_short_8","alias_value":"M7JXMVCW","created_at":"2026-07-05T06:29:06Z"}],"graph_snapshots":[{"event_id":"sha256:69be47af4288730ce6b9b5ce2a1968aeca7e3976be563a40596b4d891372111b","target":"graph","created_at":"2026-07-05T06:29:06Z","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/2307.03942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation of the infected areas of the lung is essential for quantifying the severity of lung disease like pulmonary infections. Existing medical image segmentation methods are almost uni-modal methods based on image. However, these image-only methods tend to produce inaccurate results unless trained with large amounts of annotated data. To overcome this challenge, we propose a language-driven segmentation method that uses text prompt to improve to the segmentation result. Experiments on the QaTa-COV19 dataset indicate that our method improves the Dice score by 6.09% at least compared to th","authors_text":"Kaixin Chen, Kongming Liang, Mengqiu Xu, Ming Wu, Yi Zhong","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2023-07-08T09:36:17Z","title":"Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03942","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":"sha256:8f1b975f18a93d354e1b7ffd30ff0c4f7bb234ba20e0b15591981cdb3260c0c7","target":"record","created_at":"2026-07-05T06:29:06Z","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":"71d3dbc701cc5609ab35aa5e2212db1b030be9fa8a243166820146172d37b04d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2023-07-08T09:36:17Z","title_canon_sha256":"2fe61c2bd98bff6bcbcb6d3a026ea3908dd6374bdc6d3c13804088774301816b"},"schema_version":"1.0","source":{"id":"2307.03942","kind":"arxiv","version":1}},"canonical_sha256":"67d3765456360644265c904f3ff3448dab0efe804f83769fc5cdb5454f845798","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67d3765456360644265c904f3ff3448dab0efe804f83769fc5cdb5454f845798","first_computed_at":"2026-07-05T06:29:06.012341Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:29:06.012341Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HmV54yuDFaCnmuGikCPWK9xUd/gQox0qS5wrHO0yhhjYNIM82wu7M6ijRFVvWANyoD+9nKmn++chNpFbMj8QAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:29:06.012816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.03942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f1b975f18a93d354e1b7ffd30ff0c4f7bb234ba20e0b15591981cdb3260c0c7","sha256:69be47af4288730ce6b9b5ce2a1968aeca7e3976be563a40596b4d891372111b"],"state_sha256":"07de762a76e63dd60cea1d901eafe88386ace7ba1f5d0b8d05d2c122b865ceaa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SAGOp4tzR1xW6UvUqS540EVlQJZOgOlEQQXSdTSdXbYGiweyubBERFpMvHMu9Ib/zPAy+D0Ps0cxicHbo9fNCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:15:19.362637Z","bundle_sha256":"eab11192f34add97c1cb8aa64156552ede6f8b4cbbc501f2f0b2b4241c895110"}}