{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:C3UFE5VZZ3YO7YNZGD5FYN6PGZ","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":"656ba0a28d763a122e8c64159f969a45164f8070bce60811e448fc862255f7eb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-20T03:19:07Z","title_canon_sha256":"cf53ad6d41683dbe23570bc037f47ea5b93ca24f9ba48b0ae8d62acd85dba221"},"schema_version":"1.0","source":{"id":"2508.14379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14379","created_at":"2026-07-05T11:56:30Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14379v1","created_at":"2026-07-05T11:56:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14379","created_at":"2026-07-05T11:56:30Z"},{"alias_kind":"pith_short_12","alias_value":"C3UFE5VZZ3YO","created_at":"2026-07-05T11:56:30Z"},{"alias_kind":"pith_short_16","alias_value":"C3UFE5VZZ3YO7YNZ","created_at":"2026-07-05T11:56:30Z"},{"alias_kind":"pith_short_8","alias_value":"C3UFE5VZ","created_at":"2026-07-05T11:56:30Z"}],"graph_snapshots":[{"event_id":"sha256:9da2fdd97f2979807b4506391deb5da9703510ead3978a8d88dd20982f64678b","target":"graph","created_at":"2026-07-05T11:56:30Z","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/2508.14379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Policy learning under action constraints plays a central role in ensuring safe behaviors in various robot control and resource allocation applications. In this paper, we study a new problem setting termed Action-Constrained Imitation Learning (ACIL), where an action-constrained imitator aims to learn from a demonstrative expert with larger action space. The fundamental challenge of ACIL lies in the unavoidable mismatch of occupancy measure between the expert and the imitator caused by the action constraints. We tackle this mismatch through \\textit{trajectory alignment} and propose DTWIL, which","authors_text":"Chia-Han Yeh, Hung-Yen Wu, Ping-Chun Hsieh, Risto Vuorio, Shao-Hua Sun, Tse-Sheng Nan, Wei Hung","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-20T03:19:07Z","title":"Action-Constrained Imitation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14379","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":"sha256:33b945f5d5fe280c969f4fc88666ae42838edb82518cac691a3c7d1144d696ca","target":"record","created_at":"2026-07-05T11:56:30Z","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":"656ba0a28d763a122e8c64159f969a45164f8070bce60811e448fc862255f7eb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-20T03:19:07Z","title_canon_sha256":"cf53ad6d41683dbe23570bc037f47ea5b93ca24f9ba48b0ae8d62acd85dba221"},"schema_version":"1.0","source":{"id":"2508.14379","kind":"arxiv","version":1}},"canonical_sha256":"16e85276b9cef0efe1b930fa5c37cf365cec8dc2d931dd0c1157adbd50bdc028","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16e85276b9cef0efe1b930fa5c37cf365cec8dc2d931dd0c1157adbd50bdc028","first_computed_at":"2026-07-05T11:56:30.903962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:30.903962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AC6N6ozsY1glQD8Vn1twpWrjXvQwlpXClJdx7zoaaBHV+hPTeSI+yHMteaSNsjrNNRdQqtjbHLFipaM4cjtXBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:30.904405Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.14379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33b945f5d5fe280c969f4fc88666ae42838edb82518cac691a3c7d1144d696ca","sha256:9da2fdd97f2979807b4506391deb5da9703510ead3978a8d88dd20982f64678b"],"state_sha256":"f758ce27528c9d52b2d08a6a410d9428ec85067febd8ddaad13ff0b30d296106"}