{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NA5ALG6FJZJKUVF3QTXKO6F2VU","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":"1249e2451a3e5fe7806242ebc962aa2c88ca7c3749197e55c7c2b26c59f98128","cross_cats_sorted":["cs.AI","cs.CE","cs.HC","cs.LG","q-bio.CB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-14T15:12:19Z","title_canon_sha256":"419eacfa21da21a4842c69fccdbdd8fc45466f63a50dfe5c1f48651e66b756ee"},"schema_version":"1.0","source":{"id":"2501.08187","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08187","created_at":"2026-07-05T10:01:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08187v2","created_at":"2026-07-05T10:01:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08187","created_at":"2026-07-05T10:01:19Z"},{"alias_kind":"pith_short_12","alias_value":"NA5ALG6FJZJK","created_at":"2026-07-05T10:01:19Z"},{"alias_kind":"pith_short_16","alias_value":"NA5ALG6FJZJKUVF3","created_at":"2026-07-05T10:01:19Z"},{"alias_kind":"pith_short_8","alias_value":"NA5ALG6F","created_at":"2026-07-05T10:01:19Z"}],"graph_snapshots":[{"event_id":"sha256:9db83997c9eb65c575004327fcd75d17ab426cd892ee9ad861b9a32903e62d42","target":"graph","created_at":"2026-07-05T10:01:19Z","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/2501.08187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models excel at interpreting complex natural language instructions, enabling them to perform a wide range of tasks. In the life sciences, single-cell RNA sequencing (scRNA-seq) data serves as the \"language of cellular biology\", capturing intricate gene expression patterns at the single-cell level. However, interacting with this \"language\" through conventional tools is often inefficient and unintuitive, posing challenges for researchers. To address these limitations, we present InstructCell, a multi-modal AI copilot that leverages natural language as a medium for more direct and ","authors_text":"Huajun Chen, Jingyang Qian, Kangwei Liu, Ningyu Zhang, Penghui Yang, Xiaohui Fan, Xinle Deng, Yin Fang","cross_cats":["cs.AI","cs.CE","cs.HC","cs.LG","q-bio.CB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-14T15:12:19Z","title":"A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08187","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":"sha256:6b454956a41d04c1d5132708f8ca288e12b645472e17cc69a7bf392e5de9a73b","target":"record","created_at":"2026-07-05T10:01:19Z","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":"1249e2451a3e5fe7806242ebc962aa2c88ca7c3749197e55c7c2b26c59f98128","cross_cats_sorted":["cs.AI","cs.CE","cs.HC","cs.LG","q-bio.CB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-14T15:12:19Z","title_canon_sha256":"419eacfa21da21a4842c69fccdbdd8fc45466f63a50dfe5c1f48651e66b756ee"},"schema_version":"1.0","source":{"id":"2501.08187","kind":"arxiv","version":2}},"canonical_sha256":"683a059bc54e52aa54bb84eea778baad12bbe8476ece7470ea32aab49caee5e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"683a059bc54e52aa54bb84eea778baad12bbe8476ece7470ea32aab49caee5e7","first_computed_at":"2026-07-05T10:01:19.856585Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:19.856585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OWB4cxIOLkh2ByDHJ2e7zWVeusARzAhI7p+dwjxQC9oc611FdqT5QyzfNHiCDEfJdBD2tK8YXs9MTd4oor7iAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:19.857011Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.08187","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b454956a41d04c1d5132708f8ca288e12b645472e17cc69a7bf392e5de9a73b","sha256:9db83997c9eb65c575004327fcd75d17ab426cd892ee9ad861b9a32903e62d42"],"state_sha256":"2524de845530c662f52e46c8b8ff8960531fc296056e78c5e8e7335122d4735c"}