{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4HNSN3N5DQOSWWSLKFVQIORTD7","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":"1b66f3c624d9bf741e2e954b2e100440c7ceb03b31bbcf4e119530618752eae7","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-07-19T15:40:59Z","title_canon_sha256":"717bb00127410b202eadc721f5e7d169e7cb890efa3fc5845fce812a7aed54f6"},"schema_version":"1.0","source":{"id":"2407.14414","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14414","created_at":"2026-07-05T10:49:07Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14414v2","created_at":"2026-07-05T10:49:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14414","created_at":"2026-07-05T10:49:07Z"},{"alias_kind":"pith_short_12","alias_value":"4HNSN3N5DQOS","created_at":"2026-07-05T10:49:07Z"},{"alias_kind":"pith_short_16","alias_value":"4HNSN3N5DQOSWWSL","created_at":"2026-07-05T10:49:07Z"},{"alias_kind":"pith_short_8","alias_value":"4HNSN3N5","created_at":"2026-07-05T10:49:07Z"}],"graph_snapshots":[{"event_id":"sha256:bb76cf899397e33bcb7835ac67c7ea83f50d2aa7a42c45627f6a142d93b49643","target":"graph","created_at":"2026-07-05T10:49:07Z","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/2407.14414/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language models can be used to solve long-horizon planning problems in two distinct modes: a fast 'System-1' mode, directly generating plans without any explicit search or backtracking, and a slow 'System-2' mode, planning step-by-step by explicitly searching over possible actions. While System-2 is typically more effective, it is also more computationally expensive, making it infeasible for long plans or large action spaces. Moreover, isolated System-1 or 2 ignores the user's end goals, failing to provide ways to control the model's behavior. To this end, we propose the System-1.x Planner, a ","authors_text":"Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Mohit Bansal, Peter Hase, Swarnadeep Saha","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-07-19T15:40:59Z","title":"System-1.x: Learning to Balance Fast and Slow Planning with Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14414","kind":"arxiv","version":2},"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":"sha256:39e9ebd3dd03441831ba0630d550c1b1a57c931aac4229d13e1f052f5fc282ae","target":"record","created_at":"2026-07-05T10:49:07Z","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":"1b66f3c624d9bf741e2e954b2e100440c7ceb03b31bbcf4e119530618752eae7","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-07-19T15:40:59Z","title_canon_sha256":"717bb00127410b202eadc721f5e7d169e7cb890efa3fc5845fce812a7aed54f6"},"schema_version":"1.0","source":{"id":"2407.14414","kind":"arxiv","version":2}},"canonical_sha256":"e1db26edbd1c1d2b5a4b516b043a331fc14a5714546f673302f758d8d73396ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1db26edbd1c1d2b5a4b516b043a331fc14a5714546f673302f758d8d73396ff","first_computed_at":"2026-07-05T10:49:07.485026Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:49:07.485026Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R3yQ0nSTYklxRnIWWo0Sye/EyQyw9JPPD8igvd6fIf/UaK8eRe4Ao4aO7sen7tdohiPwOXPoaEPzGoxEF99VDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:49:07.485520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14414","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39e9ebd3dd03441831ba0630d550c1b1a57c931aac4229d13e1f052f5fc282ae","sha256:bb76cf899397e33bcb7835ac67c7ea83f50d2aa7a42c45627f6a142d93b49643"],"state_sha256":"647684ed725b038a8a2091db3ac416f5623b9eddb1a4aa06c7e65620036108f3"}