{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z4TV3J53LUYZSDGRW7UPFB5AM7","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":"7af8c777a795a2e9cbd3213f5a1d44d442841a77706fe9c284ff8d94d36b843d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-09T17:54:22Z","title_canon_sha256":"fd7d6a72dc180f558669cdc438f70a4e934650104a3e357350ed3ac65bbb7fb0"},"schema_version":"1.0","source":{"id":"2504.07081","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.07081","created_at":"2026-07-05T11:50:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.07081v2","created_at":"2026-07-05T11:50:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.07081","created_at":"2026-07-05T11:50:34Z"},{"alias_kind":"pith_short_12","alias_value":"Z4TV3J53LUYZ","created_at":"2026-07-05T11:50:34Z"},{"alias_kind":"pith_short_16","alias_value":"Z4TV3J53LUYZSDGR","created_at":"2026-07-05T11:50:34Z"},{"alias_kind":"pith_short_8","alias_value":"Z4TV3J53","created_at":"2026-07-05T11:50:34Z"}],"graph_snapshots":[{"event_id":"sha256:933ea54185ee1d1d2f1ee790598cadcf81118c41c1cb0a069bec6c51dce900ef","target":"graph","created_at":"2026-07-05T11:50:34Z","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/2504.07081/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While test-time reasoning enables language models (LMs) to tackle complex tasks, searching or planning in natural language can be slow, costly, and error-prone. But even when LMs struggle to emulate the precise reasoning steps needed to solve a problem, they often excel at describing its abstract structure--both how to verify solutions and how to search for them. This paper introduces DisCIPL, a method for \"self-steering\" LMs where a Planner model generates a task-specific inference program that is executed by a population of Follower models. Our approach equips LMs with the ability to write r","authors_text":"Alexander K. Lew, Gabriel Grand, Jacob Andreas, Joshua B. Tenenbaum, Vikash K. Mansinghka","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-09T17:54:22Z","title":"Self-Steering Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.07081","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:fd752ea90aa6aa676ea16f38e9ac6b531b7369b7afa6ff7c1b5d604e484f7fe8","target":"record","created_at":"2026-07-05T11:50:34Z","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":"7af8c777a795a2e9cbd3213f5a1d44d442841a77706fe9c284ff8d94d36b843d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-09T17:54:22Z","title_canon_sha256":"fd7d6a72dc180f558669cdc438f70a4e934650104a3e357350ed3ac65bbb7fb0"},"schema_version":"1.0","source":{"id":"2504.07081","kind":"arxiv","version":2}},"canonical_sha256":"cf275da7bb5d31990cd1b7e8f287a067d5f1aa1ed25f1ff39021e7581469761f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf275da7bb5d31990cd1b7e8f287a067d5f1aa1ed25f1ff39021e7581469761f","first_computed_at":"2026-07-05T11:50:34.705097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:34.705097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PFeYr4j6QrVMP2FWfAp9BMoJGpBJPmEiPWYEUz49vm0lT3hPgiRW8pyYyRvdBw+Bpmq/xTicKXYogv6CPMgDCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:34.705520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.07081","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd752ea90aa6aa676ea16f38e9ac6b531b7369b7afa6ff7c1b5d604e484f7fe8","sha256:933ea54185ee1d1d2f1ee790598cadcf81118c41c1cb0a069bec6c51dce900ef"],"state_sha256":"43540278165edaa7fa4bc8da946526d1c76f1e39ec3c32d1e93984ef88a6781a"}