{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GRYHISA6SHCYJCIBEKWVW4VUZV","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":"9d1aa2716c52c2c463b2e0b385289f1db724d7107a2d5f518356e369b3a3e98d","cross_cats_sorted":["cs.AI","cs.LG","cs.SY","eess.SY","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-25T02:04:06Z","title_canon_sha256":"32dd8f40233c5c17626046dbb6451a4f54e415eb06d17acf8abc1375678d86b9"},"schema_version":"1.0","source":{"id":"2605.25346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25346","created_at":"2026-05-26T02:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25346v1","created_at":"2026-05-26T02:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25346","created_at":"2026-05-26T02:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"GRYHISA6SHCY","created_at":"2026-05-26T02:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"GRYHISA6SHCYJCIB","created_at":"2026-05-26T02:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"GRYHISA6","created_at":"2026-05-26T02:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:adc97313adc9f1a859ba096d99d9d8f7c3d26ca3b9731c713083087d4c5bdfa8","target":"graph","created_at":"2026-05-26T02:04:29Z","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/2605.25346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural network (NN) dynamics models and control policies achieve strong performance in robotics, but providing sound guarantees under uncertainty remains difficult, especially for closed-loop NN systems. Existing reachability tools provide formal over-approximations, yet are often non-differentiable, overly conservative, or too slow for modern learning and online planning pipelines. To address this, we present a parallelizable, differentiable reachability framework in JAX for continuous- and discrete-time systems with analytical and NN-based dynamics and controllers. Our framework combines Tay","authors_text":"Glen Chou, Keyi Shen","cross_cats":["cs.AI","cs.LG","cs.SY","eess.SY","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-25T02:04:06Z","title":"Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25346","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":"sha256:6f075a87276f64206732a3ae7556e3e80d8ac52a0492b96081e9217c2aeeb696","target":"record","created_at":"2026-05-26T02:04:29Z","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":"9d1aa2716c52c2c463b2e0b385289f1db724d7107a2d5f518356e369b3a3e98d","cross_cats_sorted":["cs.AI","cs.LG","cs.SY","eess.SY","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-25T02:04:06Z","title_canon_sha256":"32dd8f40233c5c17626046dbb6451a4f54e415eb06d17acf8abc1375678d86b9"},"schema_version":"1.0","source":{"id":"2605.25346","kind":"arxiv","version":1}},"canonical_sha256":"347074481e91c584890122ad5b72b4cd753de693130d9e14bf948febf3d5cb76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"347074481e91c584890122ad5b72b4cd753de693130d9e14bf948febf3d5cb76","first_computed_at":"2026-05-26T02:04:29.948086Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:29.948086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nTIMmnkWDukVy2q99dv/bg2Gf1hq59eN3mHZjJMK83LcE0V/Qo4F1uRgdbVXi+UZRS482177s3xM7SwpZRf9AQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:29.948688Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f075a87276f64206732a3ae7556e3e80d8ac52a0492b96081e9217c2aeeb696","sha256:adc97313adc9f1a859ba096d99d9d8f7c3d26ca3b9731c713083087d4c5bdfa8"],"state_sha256":"028f41f78d3551f9d5fe1d7f195e0a5a40da4f970e42d7be2499b98116af1baa"}