{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","short_pith_number":"pith:7U3NM3EN","canonical_record":{"source":{"id":"2607.23821","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-26T19:59:48Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"c2e87cbb41eadcd867f54683378001157daf23cbda49a4999cb4c24aceeafc21","abstract_canon_sha256":"d244ed859feca46ba6233008768857b6e77ded4f442af35585084fa42ca31ddb"},"schema_version":"1.0"},"canonical_sha256":"fd36d66c8dfd6613e952cebb006a3ea7d80f3e36db2497ea75a33b7ea12c0e67","source":{"kind":"arxiv","id":"2607.23821","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23821","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23821v1","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23821","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_12","alias_value":"7U3NM3EN7VTB","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_16","alias_value":"7U3NM3EN7VTBH2KS","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_8","alias_value":"7U3NM3EN","created_at":"2026-07-28T01:23:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"record","payload":{"canonical_record":{"source":{"id":"2607.23821","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-26T19:59:48Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"c2e87cbb41eadcd867f54683378001157daf23cbda49a4999cb4c24aceeafc21","abstract_canon_sha256":"d244ed859feca46ba6233008768857b6e77ded4f442af35585084fa42ca31ddb"},"schema_version":"1.0"},"canonical_sha256":"fd36d66c8dfd6613e952cebb006a3ea7d80f3e36db2497ea75a33b7ea12c0e67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:12.896606Z","signature_b64":"nNGGJpH16UC0JF5FHUCMrvsvfCc5igMD/etydN0OiVVoFiZuaQ4fp3vGjUV7VptPwdcD0pVSlIXFpJiLRX/6Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd36d66c8dfd6613e952cebb006a3ea7d80f3e36db2497ea75a33b7ea12c0e67","last_reissued_at":"2026-07-28T01:23:12.895391Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:12.895391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.23821","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":"2026-07-28T01:23:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b0OpDTJVhm+86c6mmy+gs+dc2rz8DG+Hdmg4BUDsYZDIhZn6OFGw06wUOFVzLyK6Amr+9IatO74cEVLP+J2NDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.887408Z"},"content_sha256":"77a3e0d4b0f00d5d8fcd34311cfec911b8c915ba77fece9b7b9d7b1809782208","schema_version":"1.0","event_id":"sha256:77a3e0d4b0f00d5d8fcd34311cfec911b8c915ba77fece9b7b9d7b1809782208"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"cs.LG","authors_text":"Chen Zhu, Haohan Wang, Qiqi Xie, Shuyu Chen, Yang Li, Ye Zhang","submitted_at":"2026-07-26T19:59:48Z","abstract_excerpt":"Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike bulk assays, scRNA-seq captures heterogeneous cellular states and rare subpopulations, but this same heterogeneity makes target discovery highly sensitive to analytical choices throughout the pipeline, including preprocessing, cell population selection, differential expression analysis, and downstream biological interpretation. As a result, existing workflows and general-purpose analysis agents often produce unstable or difficult-to-interpret ta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23821","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/2607.23821/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":"2026-07-28T01:23:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XHNABJLg5NQfyFshogZ2cW/i8CRn8BNt/uzYqe0W9Qphi6fc1FWKEb6bmZiYmzQ6VBIUQx2poJKJvyL8sSpACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.887904Z"},"content_sha256":"1cea7edef3e05d0135d079586020d83dadfe5b94343a65a36ebe5b2b822d87fa","schema_version":"1.0","event_id":"sha256:1cea7edef3e05d0135d079586020d83dadfe5b94343a65a36ebe5b2b822d87fa"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41467-021-25960-2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jordan W Squair, Matthieu Gautier, Claudia Kathe, Mark A Anderson, Nicholas D James, Thomas H Hutson, Rémy Hudelle, Taha Qaiser, Kaya J E Matson, Quentin Barraud, et al . 2021. Confronting false discoveries in single-cell differential expre","arxiv_id":"2607.23821","detector":"doi_compliance","evidence":{"ref_index":50,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41467-021-","reconstructed_doi":"10.1038/s41467-021-25960-2"},"severity":"advisory","ref_index":50,"audited_at":"2026-07-30T11:31:56.815306Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41467-021-25960-2","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"cc578ca5c5dbf4252097d12dffd69dc441118cc1aac9df88a21bc4b75aab2e40","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13890,"payload_sha256":"d5c3df758f1bcd81a4d1037ad410cdd74a1abc5587ea285eefa9601e108da94b","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T11:36:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cYEo4n8MIHUv/InyqmFwJFKSnk4ZTTVkxXEDRENohNzaxhuTl3VbI29Bw5mnoUEX7DOBKS5u7Q/1oWgEkXjoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.890879Z"},"content_sha256":"d076fcb3a64a123219131f8b383324b6db9d2d37c5fa159b0e64e436f08195cc","schema_version":"1.0","event_id":"sha256:d076fcb3a64a123219131f8b383324b6db9d2d37c5fa159b0e64e436f08195cc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"integrity","payload":{"note":"Identifier '10.1038/s41587-023-01772-5' 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":"Ali Madani, Ben Krause, Kevin Greene, Chandrasekaran Subramanian, Nicholas Mohr, Christopher Holton, Meng Liu, Shilpa Phatnani, Alex M McCandlish, Nick F Rubinsteyn, Robert J Alley, Lawrence C McGee, Navdeep Jaitly, Michael R Jones, Petras ","arxiv_id":"2607.23821","detector":"doi_compliance","evidence":{"doi":"10.1038/s41587-023-01772-5","arxiv_id":null,"ref_index":35,"raw_excerpt":"Ali Madani, Ben Krause, Kevin Greene, Chandrasekaran Subramanian, Nicholas Mohr, Christopher Holton, Meng Liu, Shilpa Phatnani, Alex M McCandlish, Nick F Rubinsteyn, Robert J Alley, Lawrence C McGee, Navdeep Jaitly, Michael R Jones, Petras J Kundrotas, Jui-Hung Yang, and Kevin Beaumont. 2023. Large language models generate functional protein sequences across diverse families. Nature Biotechnology4","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":35,"audited_at":"2026-07-30T11:31:56.815306Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41587-023-01772-5","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"44d0a0ede41daef878c47d2a401724cde653b2e14a857bb61d78acf0e6455cbb","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13889,"payload_sha256":"f116bf5d58eabd43f543fe000ffca7958d34a3e4d73186bda876de6a517b12e3","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T11:36:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EoUouk9T6rbyTEVmZGmJUDdKf+OOKudq4xLxkLJ2jmmp8tKd2999cGueJm58CwyzQ5Yy6it0Pgpkf24KIwMTCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.891272Z"},"content_sha256":"7e84279696e4c25d1a1a3804018b77dce80a3532eec2a660f954b35837bdb462","schema_version":"1.0","event_id":"sha256:7e84279696e4c25d1a1a3804018b77dce80a3532eec2a660f954b35837bdb462"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s42256-024-00832-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller. 2024. Augmenting large language models with chemistry tools.Nature Machine Intelligence6 (2024), 525–535. doi:10.1038/s42256-024- 00832-8","arxiv_id":"2607.23821","detector":"doi_compliance","evidence":{"ref_index":34,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s42256-024-","reconstructed_doi":"10.1038/s42256-024-00832-8"},"severity":"advisory","ref_index":34,"audited_at":"2026-07-30T11:31:56.815306Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s42256-024-00832-8","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1f087ea06018ca3c241a7f043ce78167c22919e7a524130fd2d2473d7f295bfd","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13888,"payload_sha256":"0c6f2723d0db3d61334021ed4b0b2e1ff25b032b1087f337f1303fcb3318a489","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T11:36:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NKR3Xpxb34SEkjHOoAQpzrjhYv3ay/kl6z5KCTjj0q3F1k0Yhe0m54XDl5u+1fMKR8DB/1Pr85e0o5knXRx8Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.891635Z"},"content_sha256":"d28fa146211f9aeda12248d72c77373fd779dfd637e6f78e701b5e4885e03a8c","schema_version":"1.0","event_id":"sha256:d28fa146211f9aeda12248d72c77373fd779dfd637e6f78e701b5e4885e03a8c"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41592-021-01336-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Malte D Luecken, Maren Büttner, Kridsadakorn Chaichoompu, Anna Danese, Marta Interlandi, Michaela F Müller, Daniel C Strobl, Luke Zappia, Martin Dugas, Maria Colomé-Tatché, et al. 2022. Benchmarking atlas-level data integration in single-ce","arxiv_id":"2607.23821","detector":"doi_compliance","evidence":{"ref_index":31,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41592-","reconstructed_doi":"10.1038/s41592-021-01336-8"},"severity":"advisory","ref_index":31,"audited_at":"2026-07-30T11:31:56.815306Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41592-021-01336-8","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4c3c8f21211b70a9fa167d52f3eecf681f44ca3c3cba9d76fe3c415e136ec323","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13887,"payload_sha256":"f23ad654a5a5917292c8bc62754b57ad6b73b8f545f3d0efc3c4c052b3457fe2","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T11:36:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iRZj1XwpwoXaTXA0GWKH/nsdpJxaj4tRKSP/dl1pBa1no1kKQ2oWYM2lxypc+fvatsv/iYp0JLj4hkampdzSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T21:12:58.891988Z"},"content_sha256":"e077391d3236747c505013c403e3588bb4c1bff2bbd19e8ae781deb756148719","schema_version":"1.0","event_id":"sha256:e077391d3236747c505013c403e3588bb4c1bff2bbd19e8ae781deb756148719"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/bundle.json","state_url":"https://pith.science/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/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":"2026-08-22T21:12:58Z","links":{"resolver":"https://pith.science/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7","bundle":"https://pith.science/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/bundle.json","state":"https://pith.science/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7U3NM3EN7VTBH2KSZ25QA2R6U7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7U3NM3EN7VTBH2KSZ25QA2R6U7","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":"d244ed859feca46ba6233008768857b6e77ded4f442af35585084fa42ca31ddb","cross_cats_sorted":["q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-26T19:59:48Z","title_canon_sha256":"c2e87cbb41eadcd867f54683378001157daf23cbda49a4999cb4c24aceeafc21"},"schema_version":"1.0","source":{"id":"2607.23821","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23821","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23821v1","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23821","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_12","alias_value":"7U3NM3EN7VTB","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_16","alias_value":"7U3NM3EN7VTBH2KS","created_at":"2026-07-28T01:23:12Z"},{"alias_kind":"pith_short_8","alias_value":"7U3NM3EN","created_at":"2026-07-28T01:23:12Z"}],"graph_snapshots":[{"event_id":"sha256:1cea7edef3e05d0135d079586020d83dadfe5b94343a65a36ebe5b2b822d87fa","target":"graph","created_at":"2026-07-28T01:23:12Z","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/2607.23821/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike bulk assays, scRNA-seq captures heterogeneous cellular states and rare subpopulations, but this same heterogeneity makes target discovery highly sensitive to analytical choices throughout the pipeline, including preprocessing, cell population selection, differential expression analysis, and downstream biological interpretation. As a result, existing workflows and general-purpose analysis agents often produce unstable or difficult-to-interpret ta","authors_text":"Chen Zhu, Haohan Wang, Qiqi Xie, Shuyu Chen, Yang Li, Ye Zhang","cross_cats":["q-bio.GN"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-26T19:59:48Z","title":"SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23821","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":"sha256:77a3e0d4b0f00d5d8fcd34311cfec911b8c915ba77fece9b7b9d7b1809782208","target":"record","created_at":"2026-07-28T01:23:12Z","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":"d244ed859feca46ba6233008768857b6e77ded4f442af35585084fa42ca31ddb","cross_cats_sorted":["q-bio.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-26T19:59:48Z","title_canon_sha256":"c2e87cbb41eadcd867f54683378001157daf23cbda49a4999cb4c24aceeafc21"},"schema_version":"1.0","source":{"id":"2607.23821","kind":"arxiv","version":1}},"canonical_sha256":"fd36d66c8dfd6613e952cebb006a3ea7d80f3e36db2497ea75a33b7ea12c0e67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd36d66c8dfd6613e952cebb006a3ea7d80f3e36db2497ea75a33b7ea12c0e67","first_computed_at":"2026-07-28T01:23:12.895391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:12.895391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nNGGJpH16UC0JF5FHUCMrvsvfCc5igMD/etydN0OiVVoFiZuaQ4fp3vGjUV7VptPwdcD0pVSlIXFpJiLRX/6Cw==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:12.896606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23821","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:7e84279696e4c25d1a1a3804018b77dce80a3532eec2a660f954b35837bdb462","sha256:d076fcb3a64a123219131f8b383324b6db9d2d37c5fa159b0e64e436f08195cc","sha256:d28fa146211f9aeda12248d72c77373fd779dfd637e6f78e701b5e4885e03a8c","sha256:e077391d3236747c505013c403e3588bb4c1bff2bbd19e8ae781deb756148719"]}],"invalid_events":[],"applied_event_ids":["sha256:77a3e0d4b0f00d5d8fcd34311cfec911b8c915ba77fece9b7b9d7b1809782208","sha256:1cea7edef3e05d0135d079586020d83dadfe5b94343a65a36ebe5b2b822d87fa"],"state_sha256":"e6b7502eb4579efde1777b872631e9d46468f3d4799d32c4a9add79d035824f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nfq21POkdLY7grmWoXE3I78rDmvt/1Zu7gWEQGwp+h55YtWH9zby590gKAX3driT2pCqI4eG+ESgM7mTKui5Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T21:12:58.895147Z","bundle_sha256":"ba35a8e1986416a5a4949a3d8618431020f82ed79ca870125308a9a0ac93cd8e"}}