{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MDUJ5KJTF5OUXMVO3DWIVVQMKA","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":"2767b78300dd409dacac9ebbad1e672c1133e6585d90b8fb4e1ad0244888ee3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-01T19:56:58Z","title_canon_sha256":"d624e70ecad4a21c22e168b48533edbbbfb5c4ac5a285fcccd94b7d9a89d1a9f"},"schema_version":"1.0","source":{"id":"2311.00815","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00815","created_at":"2026-07-05T07:08:16Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00815v1","created_at":"2026-07-05T07:08:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00815","created_at":"2026-07-05T07:08:16Z"},{"alias_kind":"pith_short_12","alias_value":"MDUJ5KJTF5OU","created_at":"2026-07-05T07:08:16Z"},{"alias_kind":"pith_short_16","alias_value":"MDUJ5KJTF5OUXMVO","created_at":"2026-07-05T07:08:16Z"},{"alias_kind":"pith_short_8","alias_value":"MDUJ5KJT","created_at":"2026-07-05T07:08:16Z"}],"graph_snapshots":[{"event_id":"sha256:bb2fc9dd3fed51783a7559b54869a46a5b41c03f5f1263ce3bdb322bf8e483b2","target":"graph","created_at":"2026-07-05T07:08:16Z","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/2311.00815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modeling the precise dynamics of off-road vehicles is a complex yet essential task due to the challenging terrain they encounter and the need for optimal performance and safety. Recently, there has been a focus on integrating nominal physics-based models alongside data-driven neural networks using Physics Informed Neural Networks. These approaches often assume the availability of a well-distributed dataset; however, this assumption may not hold due to regions in the physical distribution that are hard to collect, such as high-speed motions and rare terrains. Therefore, we introduce a physics-i","authors_text":"Jason M. Gregory, John G. Rogers III, Matthew Sivaprakasam, Parv Maheshwari, Samuel Triest, Sebastian Scherer, Shubhra Aich, Wenshan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-01T19:56:58Z","title":"PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00815","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":"sha256:9a4361c2670319557f4a5dd04904c8faf3421db1d226b9ef16eba36e54b865a5","target":"record","created_at":"2026-07-05T07:08:16Z","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":"2767b78300dd409dacac9ebbad1e672c1133e6585d90b8fb4e1ad0244888ee3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-01T19:56:58Z","title_canon_sha256":"d624e70ecad4a21c22e168b48533edbbbfb5c4ac5a285fcccd94b7d9a89d1a9f"},"schema_version":"1.0","source":{"id":"2311.00815","kind":"arxiv","version":1}},"canonical_sha256":"60e89ea9332f5d4bb2aed8ec8ad60c500a5be06c75feb08f93706e07024ae5ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60e89ea9332f5d4bb2aed8ec8ad60c500a5be06c75feb08f93706e07024ae5ae","first_computed_at":"2026-07-05T07:08:16.006579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:16.006579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HFu1KR6Tf510Nm/4kwR2Q+ISydjRl2An9tOjcyv8nv6F34ZzXRfBGRSIQGCsbGN2En06ZLGGJ3v5QJXtw5enCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:16.006953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.00815","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a4361c2670319557f4a5dd04904c8faf3421db1d226b9ef16eba36e54b865a5","sha256:bb2fc9dd3fed51783a7559b54869a46a5b41c03f5f1263ce3bdb322bf8e483b2"],"state_sha256":"df99e8bace7e621ff005dd86fbd841739d50e2e6740ea5f25728eb7f3b1f608e"}