{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XFO6EDLVGTCMUKBUDJ723EBMKS","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":"682e82153bf921b8ad68e9e0cf90d6ef257f588c70453545ee6e9cd811a8bb51","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-25T02:17:54Z","title_canon_sha256":"38abc1a67fcdf1104cc19e43995896bdde3bb0898c63317a8e2982375eafc584"},"schema_version":"1.0","source":{"id":"2403.16369","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.16369","created_at":"2026-07-05T08:35:44Z"},{"alias_kind":"arxiv_version","alias_value":"2403.16369v3","created_at":"2026-07-05T08:35:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16369","created_at":"2026-07-05T08:35:44Z"},{"alias_kind":"pith_short_12","alias_value":"XFO6EDLVGTCM","created_at":"2026-07-05T08:35:44Z"},{"alias_kind":"pith_short_16","alias_value":"XFO6EDLVGTCMUKBU","created_at":"2026-07-05T08:35:44Z"},{"alias_kind":"pith_short_8","alias_value":"XFO6EDLV","created_at":"2026-07-05T08:35:44Z"}],"graph_snapshots":[{"event_id":"sha256:aca0c043bf86e570dad86421c8242ee643064afb19d94a7bc1008bedc7b27c1c","target":"graph","created_at":"2026-07-05T08:35:44Z","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/2403.16369/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robust reinforcement learning agents using high-dimensional observations must be able to identify relevant state features amidst many exogeneous distractors. A representation that captures controllability identifies these state elements by determining what affects agent control. While methods such as inverse dynamics and mutual information capture controllability for a limited number of timesteps, capturing long-horizon elements remains a challenging problem. Myopic controllability can capture the moment right before an agent crashes into a wall, but not the control-relevance of the wall while","authors_text":"Amy Zhang, Caleb Chuck, Kevin Black, Max Rudolph, Misha Lvovsky, Scott Niekum","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-25T02:17:54Z","title":"Learning Action-based Representations Using Invariance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16369","kind":"arxiv","version":3},"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":"sha256:7108ebad26c00266fd1ec90e0eb34ee167e4176baf0d2f0dc49bb3aae4eabacf","target":"record","created_at":"2026-07-05T08:35:44Z","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":"682e82153bf921b8ad68e9e0cf90d6ef257f588c70453545ee6e9cd811a8bb51","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-25T02:17:54Z","title_canon_sha256":"38abc1a67fcdf1104cc19e43995896bdde3bb0898c63317a8e2982375eafc584"},"schema_version":"1.0","source":{"id":"2403.16369","kind":"arxiv","version":3}},"canonical_sha256":"b95de20d7534c4ca28341a7fad902c548b266635efb6079bc6caa1bbf18f1959","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b95de20d7534c4ca28341a7fad902c548b266635efb6079bc6caa1bbf18f1959","first_computed_at":"2026-07-05T08:35:44.691300Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:44.691300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TJiBq1ZDkhmoyE58PbpFrk4K0SE0Hm44bB8nPt7wDWCQF6kiPdqaA/MjpsfjKkECA96DUAcLw+ZHVcJJiFvOAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:44.691801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.16369","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7108ebad26c00266fd1ec90e0eb34ee167e4176baf0d2f0dc49bb3aae4eabacf","sha256:aca0c043bf86e570dad86421c8242ee643064afb19d94a7bc1008bedc7b27c1c"],"state_sha256":"45a391ff87f36853f8275b92cd8b4e1b44a6be9cbef94e5c2ff75231b85f8540"}