{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ICJ2MJKWYYTVA3RHGPISHW6N3C","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":"9924dea8e6643ba8ffa8787ed7a584f91f49f4bf044c15896cbea7545e23dcab","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T06:57:34Z","title_canon_sha256":"65479c9576d7af1e1e10053b659c6d12176a514b632f22f2ca25b096914b4cec"},"schema_version":"1.0","source":{"id":"2407.15421","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15421","created_at":"2026-07-05T11:12:18Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15421v3","created_at":"2026-07-05T11:12:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15421","created_at":"2026-07-05T11:12:18Z"},{"alias_kind":"pith_short_12","alias_value":"ICJ2MJKWYYTV","created_at":"2026-07-05T11:12:18Z"},{"alias_kind":"pith_short_16","alias_value":"ICJ2MJKWYYTVA3RH","created_at":"2026-07-05T11:12:18Z"},{"alias_kind":"pith_short_8","alias_value":"ICJ2MJKW","created_at":"2026-07-05T11:12:18Z"}],"graph_snapshots":[{"event_id":"sha256:21308255926368cb28d5f03dd2e89dde63073b0037cebd2406808579de4ab6d5","target":"graph","created_at":"2026-07-05T11:12:18Z","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/2407.15421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Planning is essential for solving complex tasks, yet the internal mechanisms underlying planning in neural networks remain poorly understood. Building on prior work, we analyze a recurrent neural network (RNN) trained on Sokoban, a challenging puzzle requiring sequential, irreversible decisions. We find that the RNN has a causal plan representation which predicts its future actions about 50 steps in advance. The quality and length of the represented plan increases over the first few steps. We uncover a surprising behavior: the RNN \"paces\" in cycles to give itself extra computation at the start","authors_text":"Aaron David Tucker, Adam Gleave, Adri\\`a Garriga-Alonso, Chris Cundy, Maximilian Li, Mohammad Taufeeque, Philip Quirke","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T06:57:34Z","title":"Planning in a recurrent neural network that plays Sokoban"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15421","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":"sha256:096313e0c75ed0b7ff2749bba6ec2f3ef5533ed48dc28c637d0054c281b3e714","target":"record","created_at":"2026-07-05T11:12:18Z","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":"9924dea8e6643ba8ffa8787ed7a584f91f49f4bf044c15896cbea7545e23dcab","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T06:57:34Z","title_canon_sha256":"65479c9576d7af1e1e10053b659c6d12176a514b632f22f2ca25b096914b4cec"},"schema_version":"1.0","source":{"id":"2407.15421","kind":"arxiv","version":3}},"canonical_sha256":"4093a62556c627506e2733d123dbcdd8b20707c09d998386d6784288921174ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4093a62556c627506e2733d123dbcdd8b20707c09d998386d6784288921174ab","first_computed_at":"2026-07-05T11:12:18.902759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:18.902759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SWdSyLusAtMQyPqSnblgbMH6eKjbcsvttzA3B9q2lNDHCcitKOgG3OBI8Ve197QBmEqRXitb5nK6iY+7icG+Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:18.903298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15421","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:096313e0c75ed0b7ff2749bba6ec2f3ef5533ed48dc28c637d0054c281b3e714","sha256:21308255926368cb28d5f03dd2e89dde63073b0037cebd2406808579de4ab6d5"],"state_sha256":"b337637221d68cc8bc0dc3746e1c8be405f1a6ab0c2aab0c1aa2093ad4246a10"}