{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:F4NMRPZAQ5O5DFSCNIRNEPO3BJ","short_pith_number":"pith:F4NMRPZA","canonical_record":{"source":{"id":"2501.02486","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-05T09:37:23Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0c42b5c774b5b9a1285b958d18ba03a99c63fa30c54f787e558dbcdb486e1a9a","abstract_canon_sha256":"d441e5f82430b13aaf5bd64fede1a83b1d1b547f11ef5c11e7ca72cd63836c23"},"schema_version":"1.0"},"canonical_sha256":"2f1ac8bf20875dd196426a22d23ddb0a5630f40c198d0dfc36c470d1d213ed8d","source":{"kind":"arxiv","id":"2501.02486","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.02486","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"arxiv_version","alias_value":"2501.02486v2","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02486","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_12","alias_value":"F4NMRPZAQ5O5","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_16","alias_value":"F4NMRPZAQ5O5DFSC","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_8","alias_value":"F4NMRPZA","created_at":"2026-07-05T10:19:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:F4NMRPZAQ5O5DFSCNIRNEPO3BJ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.02486","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-05T09:37:23Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0c42b5c774b5b9a1285b958d18ba03a99c63fa30c54f787e558dbcdb486e1a9a","abstract_canon_sha256":"d441e5f82430b13aaf5bd64fede1a83b1d1b547f11ef5c11e7ca72cd63836c23"},"schema_version":"1.0"},"canonical_sha256":"2f1ac8bf20875dd196426a22d23ddb0a5630f40c198d0dfc36c470d1d213ed8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:35.241200Z","signature_b64":"k/RTU1NbA6to6qwqOrVnPewZPSH5PSN2o19l/oDasBnUUum2kP9MXcTc7PYhtry9j0kAPKPo5thWZQLE5YJbAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f1ac8bf20875dd196426a22d23ddb0a5630f40c198d0dfc36c470d1d213ed8d","last_reissued_at":"2026-07-05T10:19:35.240769Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:35.240769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.02486","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G+FuNn6iYI6Qe+WZKnRy0850/hb5Y9RzlUlxryYSKf2KuvqP1syvinfOONGih5KAkWPUJB9b1r8UHH3E4++mAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T14:27:34.952349Z"},"content_sha256":"317d5b487a641d947226f288a26256261042e1a2c61185628e97fbbc2e5c3e9f","schema_version":"1.0","event_id":"sha256:317d5b487a641d947226f288a26256261042e1a2c61185628e97fbbc2e5c3e9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:F4NMRPZAQ5O5DFSCNIRNEPO3BJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLMPC: Large Language Model Predictive Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Gabriel Maher","submitted_at":"2025-01-05T09:37:23Z","abstract_excerpt":"Recent advancements in prompting techniques for Large Language Models (LLMs) have improved their reasoning, planning, and action abilities. This paper examines these prompting techniques through the lens of model predictive control (MPC). We show that LLMs act as implicit planning cost function minimizers when planning prompts are used. We propose a unified MPC framework for planning with LLMs and demonstrate improved performance over few shot prompting on several planning benchmarks."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02486","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.02486/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4xnCRDGWP8h9IkG5LWi6JMfzWoa5js9T62GKlS0fGqKz+t5u7GfFSYWq1rxo1EQmcPZP4e0CIK2lDHkAvHPaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T14:27:34.953722Z"},"content_sha256":"bdb005e1e871069d2ba57c26301dd8bf7939fbffd3abfc947151042a9463c5e6","schema_version":"1.0","event_id":"sha256:bdb005e1e871069d2ba57c26301dd8bf7939fbffd3abfc947151042a9463c5e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/bundle.json","state_url":"https://pith.science/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T14:27:34Z","links":{"resolver":"https://pith.science/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ","bundle":"https://pith.science/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/bundle.json","state":"https://pith.science/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4NMRPZAQ5O5DFSCNIRNEPO3BJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:F4NMRPZAQ5O5DFSCNIRNEPO3BJ","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":"d441e5f82430b13aaf5bd64fede1a83b1d1b547f11ef5c11e7ca72cd63836c23","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-05T09:37:23Z","title_canon_sha256":"0c42b5c774b5b9a1285b958d18ba03a99c63fa30c54f787e558dbcdb486e1a9a"},"schema_version":"1.0","source":{"id":"2501.02486","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.02486","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"arxiv_version","alias_value":"2501.02486v2","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02486","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_12","alias_value":"F4NMRPZAQ5O5","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_16","alias_value":"F4NMRPZAQ5O5DFSC","created_at":"2026-07-05T10:19:35Z"},{"alias_kind":"pith_short_8","alias_value":"F4NMRPZA","created_at":"2026-07-05T10:19:35Z"}],"graph_snapshots":[{"event_id":"sha256:bdb005e1e871069d2ba57c26301dd8bf7939fbffd3abfc947151042a9463c5e6","target":"graph","created_at":"2026-07-05T10:19:35Z","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/2501.02486/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in prompting techniques for Large Language Models (LLMs) have improved their reasoning, planning, and action abilities. This paper examines these prompting techniques through the lens of model predictive control (MPC). We show that LLMs act as implicit planning cost function minimizers when planning prompts are used. We propose a unified MPC framework for planning with LLMs and demonstrate improved performance over few shot prompting on several planning benchmarks.","authors_text":"Gabriel Maher","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-05T09:37:23Z","title":"LLMPC: Large Language Model Predictive Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02486","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":"sha256:317d5b487a641d947226f288a26256261042e1a2c61185628e97fbbc2e5c3e9f","target":"record","created_at":"2026-07-05T10:19:35Z","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":"d441e5f82430b13aaf5bd64fede1a83b1d1b547f11ef5c11e7ca72cd63836c23","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-05T09:37:23Z","title_canon_sha256":"0c42b5c774b5b9a1285b958d18ba03a99c63fa30c54f787e558dbcdb486e1a9a"},"schema_version":"1.0","source":{"id":"2501.02486","kind":"arxiv","version":2}},"canonical_sha256":"2f1ac8bf20875dd196426a22d23ddb0a5630f40c198d0dfc36c470d1d213ed8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f1ac8bf20875dd196426a22d23ddb0a5630f40c198d0dfc36c470d1d213ed8d","first_computed_at":"2026-07-05T10:19:35.240769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:35.240769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k/RTU1NbA6to6qwqOrVnPewZPSH5PSN2o19l/oDasBnUUum2kP9MXcTc7PYhtry9j0kAPKPo5thWZQLE5YJbAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:35.241200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.02486","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:317d5b487a641d947226f288a26256261042e1a2c61185628e97fbbc2e5c3e9f","sha256:bdb005e1e871069d2ba57c26301dd8bf7939fbffd3abfc947151042a9463c5e6"],"state_sha256":"cb3e1d9367b4993ee7d92a9cad208d3671fbd01990ec20eaa139a8ba10b9f9a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"muSIzFq4kaw2coS7pvilmjzV2umSsunD4WWG68hWWf7mW3bPZpWSaCx3toTCkR4xDx9NKS1bbdTCg/QAtcAjAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T14:27:34.961315Z","bundle_sha256":"45558b9c466b1765cbfd21ae42f98d0ec93eaea9a148e3d3516d1b58db2098fb"}}