{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","short_pith_number":"pith:OIVD3KVR","canonical_record":{"source":{"id":"2608.08430","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-09T03:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad2c57628b72ecae364ac1b0fa4eb7cc8e837134ccc68a917a4cb2b4e6e261c4","abstract_canon_sha256":"c8532a41787d4fccfa29d140457084c3b8d5707641db72d186c218e17cdf912a"},"schema_version":"1.0"},"canonical_sha256":"722a3daab1f126cf1ca81dfd15ea346b2617c883c8990111e8b44ec0b459513c","source":{"kind":"arxiv","id":"2608.08430","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08430","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08430v1","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08430","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_12","alias_value":"OIVD3KVR6ETM","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_16","alias_value":"OIVD3KVR6ETM6HFI","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_8","alias_value":"OIVD3KVR","created_at":"2026-08-11T01:22:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"record","payload":{"canonical_record":{"source":{"id":"2608.08430","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-09T03:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad2c57628b72ecae364ac1b0fa4eb7cc8e837134ccc68a917a4cb2b4e6e261c4","abstract_canon_sha256":"c8532a41787d4fccfa29d140457084c3b8d5707641db72d186c218e17cdf912a"},"schema_version":"1.0"},"canonical_sha256":"722a3daab1f126cf1ca81dfd15ea346b2617c883c8990111e8b44ec0b459513c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:22:37.163132Z","signature_b64":"9XUcKz6CFFcWjwez5ktWhOAYo+xTz1a/9i2XEnyTUGQbFlaTMqLss8zi3E7Rhc7tQcHdq0df0FjUoYoX3XxlCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"722a3daab1f126cf1ca81dfd15ea346b2617c883c8990111e8b44ec0b459513c","last_reissued_at":"2026-08-11T01:22:37.160655Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:22:37.160655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.08430","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":"2026-08-11T01:22:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"73kHR8GDzR16DaUtLDeuXqKUdqpAu5uHsIaIrzy8DiQNVc/HdhKHjiKD97NCnCcdprdTLyAs6j4SPFDSpy+zDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.101082Z"},"content_sha256":"11cec8d8f209ff079bf0a35d72c9096381b0e39b92eca04364c071ba20eeb723","schema_version":"1.0","event_id":"sha256:11cec8d8f209ff079bf0a35d72c9096381b0e39b92eca04364c071ba20eeb723"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human-Guided Causal Knowledge Injection for Virtual Cells","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Changjian Chen, Feng Yu, Kenli Li, Long Wang, Pengcheng Wang, You Wu, Zhuo Tang","submitted_at":"2026-08-09T03:00:36Z","abstract_excerpt":"Virtual cells employ machine learning models to simulate and predict cellular behaviors, serving as a critical computational framework for investigating health and disease. Injecting causal graphs into virtual cells can improve the interpretability, but such graphs are usually not available in real-world applications. Recently, many methods have been proposed to construct causal graphs from data, which group genes based on their similarities to form concepts and extract their causal relationships. However, since this automatic process is unsupervised, the causal graphs usually contain errors. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08430","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/2608.08430/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":"2026-08-11T01:22:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gwAsmh4TeFgTgcDeqfyR4TIigKnkmYSXfXpjN0hvIWm0Ru3swyjhVQG1TqPeTBcMtgFusvps8tdzGvcunHHFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.101414Z"},"content_sha256":"4ca6aa8e3ab1b85ec9c60a7b92e7b0791325cc7f5cced9d9e4fed33ca0c226a1","schema_version":"1.0","event_id":"sha256:4ca6aa8e3ab1b85ec9c60a7b92e7b0791325cc7f5cced9d9e4fed33ca0c226a1"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1146/annurev-arplant-042809-112301 resolves to 'Starch: Its Metabolism, Evolution, and Biotechnological Modification in Plants'. A reader following the printed text alone cannot reach it.","snippet":"S. C. Zeeman, J. Kossmann, and A. M. Smith. Starch: its metabolism, evolution, and biotechnological modification in plants.Annual review of plant biology, 61:209–234, 2010. doi: 10.1146/annurev-arplant-042809 -112301 9","arxiv_id":"2608.08430","detector":"doi_compliance","evidence":{"ref_index":63,"verdict_class":"incontrovertible","resolved_title":"Starch: Its Metabolism, Evolution, and Biotechnological Modification in Plants","printed_excerpt":"10.1146/annurev-arplant-042809","reconstructed_doi":"10.1146/annurev-arplant-042809-112301"},"severity":"advisory","ref_index":63,"audited_at":"2026-08-14T05:29:13.913520Z","event_type":"pith.integrity.v1","detected_doi":"10.1146/annurev-arplant-042809-112301","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a67aa230f16ee3ef1c45f9785a0d9f6a8220d39fbe6e09fe559829703bcfbddb","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Starch: Its Metabolism, Evolution, and Biotechnological Modification in Plants","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19669,"payload_sha256":"73681d88e3a0e449b30fc7c688f1af797dde4e899b9eaaa452e6c91c803582de","signature_b64":"SLrrJjEFwQW4+1c4e9/b1kGK0c60U1MHn5o2UNa2/98WWBKaGthAs273jjcFkc6eAkNVWA3v2MxhTrp/WZrDAg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T05:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y8c4MRibcei5v5YNA4bFPphnEUryLaHorvsdM59gmAyIbpiOo23MGRqcyFB+/JDTi9d7YFMfZblMYHun6+WRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.103375Z"},"content_sha256":"4b67d1c52f49ba43a924e05bd1c92698887718109993145e3031b4252ae7358c","schema_version":"1.0","event_id":"sha256:4b67d1c52f49ba43a924e05bd1c92698887718109993145e3031b4252ae7358c"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"integrity","payload":{"note":"Identifier '10.1109/tvcg.2022' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"B. Ghai and K. Mueller. D-bias: A causality-based human-in-the-loop system for tackling algorithmic bias.IEEE Transactions on Visualization and Computer Graphics, 29(1):473–482, 2022. doi: 10.1109/TVCG.2022. 3209484 2","arxiv_id":"2608.08430","detector":"doi_compliance","evidence":{"doi":"10.1109/tvcg.2022","arxiv_id":null,"ref_index":20,"raw_excerpt":"B. Ghai and K. Mueller. D-bias: A causality-based human-in-the-loop system for tackling algorithmic bias.IEEE Transactions on Visualization and Computer Graphics, 29(1):473–482, 2022. doi: 10.1109/TVCG.2022. 3209484 2","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":20,"audited_at":"2026-08-14T05:29:13.913520Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/tvcg.2022","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"222f3f307d0abf625f6f348656afd72b7efb64049b3f3b364ebc14810187cc5e","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19668,"payload_sha256":"69e27c796b3a721c3fa5b8fd6ab5ae89278c04cc5110cd327afbcd3e970bbb02","signature_b64":"js01+/McVg1EtQunUdm9jCPGe3kP0rH+bJ28K4hg81HsX/53GyhhsTOKUe9YlW6GqY7G5uJao4GK7yvCLqgTBA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T05:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C4MttYScE7tb2xkLupRKRQuPlG6QZLC8sTuXyhOmWUl8dfVuF8zS5AgOG96IdoDJ0kYfrk9E9k6Zl9DKOgX9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.103719Z"},"content_sha256":"2ea19d8c496021501c46b5dc5bc78381ccadbe185d76731a9381503679f76f6c","schema_version":"1.0","event_id":"sha256:2ea19d8c496021501c46b5dc5bc78381ccadbe185d76731a9381503679f76f6c"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41467-025-62008-1) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y . Gao, K. Dong, C. Shan, D. Li, and Q. Liu. Causal disentanglement for single-cell representations and controllable counterfactual generation. Nature communications, 16(1):6775, 2025. doi: 10.1038/s41467-025 -62008-1 1, 2, 3, 7","arxiv_id":"2608.08430","detector":"doi_compliance","evidence":{"ref_index":19,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41467-025","reconstructed_doi":"10.1038/s41467-025-62008-1"},"severity":"advisory","ref_index":19,"audited_at":"2026-08-14T05:29:13.913520Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41467-025-62008-1","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ecc3ff9ea28860878554ca9b8675e8b721f35dc6f0081feef591f4031116e792","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19667,"payload_sha256":"bd3ca3fb281a150ef50d453f8f9f2f4fc9d6f27b5130533c4c26c6f3ecf1af0f","signature_b64":"6rqecKEqgOgIGNKMUSzL3KBBZALyaSuU5OFFa9lwaSVDLMXWRFMmFIi9YBy+I4tByipDgEm2kgJROTIaMaE8CA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T05:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KC8oMjO4IEFg0THbTGvDB8Svdr2WQv8NewSFCjy9fAJTogrG662vER4RKqKict+7M6KUMHPHbhRdJxCPMgKHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.103982Z"},"content_sha256":"c45f5b32d2f536e2cb138c7e472ebf8271018f86c03061a743bfe48346ee76c0","schema_version":"1.0","event_id":"sha256:c45f5b32d2f536e2cb138c7e472ebf8271018f86c03061a743bfe48346ee76c0"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","target":"integrity","payload":{"note":"Identifier '10.1109/pacificvis.2010' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"E. R. Gansner, Y . Hu, and S. Kobourov. Gmap: Visualizing graphs and clusters as maps. In2010 IEEE Pacific visualization symposium (PacificVis), pp. 201–208. IEEE, 2010. doi: 10.1109/PACIFICVIS.2010. 5429590 6","arxiv_id":"2608.08430","detector":"doi_compliance","evidence":{"doi":"10.1109/pacificvis.2010","arxiv_id":null,"ref_index":18,"raw_excerpt":"E. R. Gansner, Y . Hu, and S. Kobourov. Gmap: Visualizing graphs and clusters as maps. In2010 IEEE Pacific visualization symposium (PacificVis), pp. 201–208. IEEE, 2010. doi: 10.1109/PACIFICVIS.2010. 5429590 6","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":18,"audited_at":"2026-08-14T05:29:13.913520Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/pacificvis.2010","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"b51140a488c8b6f9eddb29ef46c277d2ef1e4f85f2b1b67994fa5fec5a335161","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19666,"payload_sha256":"fefb567a20cd980a334aefe13d07f0ec21050a3060920e9764d78a41afc444a4","signature_b64":"qI6peSFU9t3bFCUTctSFpcZHmK/ZdVecJXh8GZFK9TgVXXZ5XhVi2v5APkRB+rxVUdYn5cLEm1YVIXDpj5tQCQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T05:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RinTSHrB1Jf+NfdQByY/Kbq+QiW8r6Yw26AlqU3YJnHp9rofb1tTGudImlyOvTsdhKnOesor7LfZkB2hbZMuCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:27:58.104240Z"},"content_sha256":"e9b75946ecc914095f25b0ef3240eb42c8711b4b894b88250a9be9377444bdac","schema_version":"1.0","event_id":"sha256:e9b75946ecc914095f25b0ef3240eb42c8711b4b894b88250a9be9377444bdac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/bundle.json","state_url":"https://pith.science/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/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":"2026-08-14T16:27:58Z","links":{"resolver":"https://pith.science/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM","bundle":"https://pith.science/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/bundle.json","state":"https://pith.science/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OIVD3KVR6ETM6HFIDX6RL2RUNM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OIVD3KVR6ETM6HFIDX6RL2RUNM","merge_version":"pith-open-graph-merge-v1","event_count":6,"valid_event_count":6,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c8532a41787d4fccfa29d140457084c3b8d5707641db72d186c218e17cdf912a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-09T03:00:36Z","title_canon_sha256":"ad2c57628b72ecae364ac1b0fa4eb7cc8e837134ccc68a917a4cb2b4e6e261c4"},"schema_version":"1.0","source":{"id":"2608.08430","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08430","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08430v1","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08430","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_12","alias_value":"OIVD3KVR6ETM","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_16","alias_value":"OIVD3KVR6ETM6HFI","created_at":"2026-08-11T01:22:37Z"},{"alias_kind":"pith_short_8","alias_value":"OIVD3KVR","created_at":"2026-08-11T01:22:37Z"}],"graph_snapshots":[{"event_id":"sha256:4ca6aa8e3ab1b85ec9c60a7b92e7b0791325cc7f5cced9d9e4fed33ca0c226a1","target":"graph","created_at":"2026-08-11T01:22:37Z","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/2608.08430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Virtual cells employ machine learning models to simulate and predict cellular behaviors, serving as a critical computational framework for investigating health and disease. Injecting causal graphs into virtual cells can improve the interpretability, but such graphs are usually not available in real-world applications. Recently, many methods have been proposed to construct causal graphs from data, which group genes based on their similarities to form concepts and extract their causal relationships. However, since this automatic process is unsupervised, the causal graphs usually contain errors. ","authors_text":"Changjian Chen, Feng Yu, Kenli Li, Long Wang, Pengcheng Wang, You Wu, Zhuo Tang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-09T03:00:36Z","title":"Human-Guided Causal Knowledge Injection for Virtual Cells"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08430","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":"sha256:11cec8d8f209ff079bf0a35d72c9096381b0e39b92eca04364c071ba20eeb723","target":"record","created_at":"2026-08-11T01:22:37Z","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":"c8532a41787d4fccfa29d140457084c3b8d5707641db72d186c218e17cdf912a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-08-09T03:00:36Z","title_canon_sha256":"ad2c57628b72ecae364ac1b0fa4eb7cc8e837134ccc68a917a4cb2b4e6e261c4"},"schema_version":"1.0","source":{"id":"2608.08430","kind":"arxiv","version":1}},"canonical_sha256":"722a3daab1f126cf1ca81dfd15ea346b2617c883c8990111e8b44ec0b459513c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"722a3daab1f126cf1ca81dfd15ea346b2617c883c8990111e8b44ec0b459513c","first_computed_at":"2026-08-11T01:22:37.160655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:22:37.160655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9XUcKz6CFFcWjwez5ktWhOAYo+xTz1a/9i2XEnyTUGQbFlaTMqLss8zi3E7Rhc7tQcHdq0df0FjUoYoX3XxlCg==","signature_status":"signed_v1","signed_at":"2026-08-11T01:22:37.163132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.08430","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:2ea19d8c496021501c46b5dc5bc78381ccadbe185d76731a9381503679f76f6c","sha256:4b67d1c52f49ba43a924e05bd1c92698887718109993145e3031b4252ae7358c","sha256:c45f5b32d2f536e2cb138c7e472ebf8271018f86c03061a743bfe48346ee76c0","sha256:e9b75946ecc914095f25b0ef3240eb42c8711b4b894b88250a9be9377444bdac"]}],"invalid_events":[],"applied_event_ids":["sha256:11cec8d8f209ff079bf0a35d72c9096381b0e39b92eca04364c071ba20eeb723","sha256:4ca6aa8e3ab1b85ec9c60a7b92e7b0791325cc7f5cced9d9e4fed33ca0c226a1"],"state_sha256":"1bd5f847fc5892920c9286eb61682710c302b8a16d7b0b6efcf37b5361a6fc6e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CmWG7kEHu51OqGVgUrmCQZWjSd6omf+6nlr27pG1ARnws3J/cuQ8QCXez3Rh1Zpg/iUuWtvVTZACsxhwa+NNCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T16:27:58.107189Z","bundle_sha256":"582d9d43c9906b329e648b8d49a4f640e16ca8c78e0ca81466ce18b5b396decf"}}