{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B2VAGPMTW2AOGULZ3XAUW4VETQ","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":"fecfde66cdcce5fdef471ca4c63d7b3caf0823b2f4fd6e6b8f9c7f624d67e4ca","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-23T03:16:41Z","title_canon_sha256":"936c2c7340f28bca50fb61c4ad3be7c4b7fa3af9590218004aa8469a7b3fce2c"},"schema_version":"1.0","source":{"id":"2605.24370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24370","created_at":"2026-05-26T01:03:02Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24370v1","created_at":"2026-05-26T01:03:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24370","created_at":"2026-05-26T01:03:02Z"},{"alias_kind":"pith_short_12","alias_value":"B2VAGPMTW2AO","created_at":"2026-05-26T01:03:02Z"},{"alias_kind":"pith_short_16","alias_value":"B2VAGPMTW2AOGULZ","created_at":"2026-05-26T01:03:02Z"},{"alias_kind":"pith_short_8","alias_value":"B2VAGPMT","created_at":"2026-05-26T01:03:02Z"}],"graph_snapshots":[{"event_id":"sha256:ad7a0bd575afe4d380fca279caa58ef9acb0c0dc028285caa624b823ca9b216c","target":"graph","created_at":"2026-05-26T01:03:02Z","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/2605.24370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Behavioral phenotyping of genetic animal models currently requires labor-intensive manual feature engineering that limits reproducibility and scalability. We present GEESE, an end-to-end deep learning framework that learns behavioral representations directly from 3D pose dynamics without hand-crafted features. Using a pretrained time series foundation model, we encode movement sequences into a behavioral manifold that supports both behavior classification and genotype prediction. Evaluated across three autism-associated genetic models (CNTNAP2, CHD8, FMR1), our deep learning approach surpasses","authors_text":"Chunqi Qian, Yiran Ding, Yuen Gao, Zijun Cui","cross_cats":["q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-23T03:16:41Z","title":"GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24370","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:d2d766b9d3a94b327b5ef8d8b060014316064721b0a366535fe366bce1d848bf","target":"record","created_at":"2026-05-26T01:03:02Z","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":"fecfde66cdcce5fdef471ca4c63d7b3caf0823b2f4fd6e6b8f9c7f624d67e4ca","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-23T03:16:41Z","title_canon_sha256":"936c2c7340f28bca50fb61c4ad3be7c4b7fa3af9590218004aa8469a7b3fce2c"},"schema_version":"1.0","source":{"id":"2605.24370","kind":"arxiv","version":1}},"canonical_sha256":"0eaa033d93b680e35179ddc14b72a49c205d8d233faacd7173ce99d25cf490ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eaa033d93b680e35179ddc14b72a49c205d8d233faacd7173ce99d25cf490ec","first_computed_at":"2026-05-26T01:03:02.292905Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:02.292905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WCDM5LsCosAfd1gLZKz3xPqS2kErk5n9Kvnc0UQOdOWYGY+phFe+WX/Zf9ZisENGg0Fwymfr1e4A7tl6NFTLCg==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:02.293680Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2d766b9d3a94b327b5ef8d8b060014316064721b0a366535fe366bce1d848bf","sha256:ad7a0bd575afe4d380fca279caa58ef9acb0c0dc028285caa624b823ca9b216c"],"state_sha256":"4b4179b9f636e54271f2510454b1a9e61552c96f25b070d89eff99554a9bedf5"}