{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2L4FAKGGEOR2HTPLICLDDAS6WF","short_pith_number":"pith:2L4FAKGG","canonical_record":{"source":{"id":"2408.07199","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-13T20:52:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aff3059869cd36b4e19efb4f131b57952fd244b5ba2881d3e756d11de12b1848","abstract_canon_sha256":"5b2e27ddc7ea6a265d790907172ae82d31964b8e26bd29d1326fcf4c253266bf"},"schema_version":"1.0"},"canonical_sha256":"d2f85028c623a3a3cdeb409631825eb1571db53863612425ae10a455f16d4184","source":{"kind":"arxiv","id":"2408.07199","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07199","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07199v1","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07199","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_12","alias_value":"2L4FAKGGEOR2","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_16","alias_value":"2L4FAKGGEOR2HTPL","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_8","alias_value":"2L4FAKGG","created_at":"2026-05-20T09:35:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2L4FAKGGEOR2HTPLICLDDAS6WF","target":"record","payload":{"canonical_record":{"source":{"id":"2408.07199","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-13T20:52:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aff3059869cd36b4e19efb4f131b57952fd244b5ba2881d3e756d11de12b1848","abstract_canon_sha256":"5b2e27ddc7ea6a265d790907172ae82d31964b8e26bd29d1326fcf4c253266bf"},"schema_version":"1.0"},"canonical_sha256":"d2f85028c623a3a3cdeb409631825eb1571db53863612425ae10a455f16d4184","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T09:35:08.614305Z","signature_b64":"gYVYnw6fQVTn1Ss3jPjd+kwyWiz1HS80d34jADhC0Te37ANAYv0ujBYGCDcLBS/E7d6XIUeSVm9QumNFQ91LAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2f85028c623a3a3cdeb409631825eb1571db53863612425ae10a455f16d4184","last_reissued_at":"2026-05-20T09:35:08.612677Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T09:35:08.612677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.07199","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T09:35:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sOlFMs5oq69zqChCxSQ/6Bg5xKge6m+MAWI612Snw/ELYFBWYo9+MK2FAU6uSNYsqdbAJt2+pegmnfSA3vv9DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T19:55:13.873881Z"},"content_sha256":"6650972d8fa32b10348aff29ac4320e2b06b2d731da3b9bbbd08692f6ce66471","schema_version":"1.0","event_id":"sha256:6650972d8fa32b10348aff29ac4320e2b06b2d731da3b9bbbd08692f6ce66471"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2L4FAKGGEOR2HTPLICLDDAS6WF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Chelsea Finn, Divyansh Garg, Edmund Mills, Naman Garg, Pranav Putta, Rafael Rafailov, Sumeet Motwani","submitted_at":"2024-08-13T20:52:13Z","abstract_excerpt":"Large Language Models (LLMs) have shown remarkable capabilities in natural language tasks requiring complex reasoning, yet their application in agentic, multi-step reasoning within interactive environments remains a difficult challenge. Traditional supervised pre-training on static datasets falls short in enabling autonomous agent capabilities needed to perform complex decision-making in dynamic settings like web navigation. Previous attempts to bridge this ga-through supervised fine-tuning on curated expert demonstrations-often suffer from compounding errors and limited exploration data, resu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07199","kind":"arxiv","version":1},"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/2408.07199/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":"2026-05-20T09:35:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/wZejw5lZlRJ7Oog2AlBQWNduZ5XOQxjaqPKcx3gzu+546BgVIGYFLjd0CvPgIUDkBHixScs7HPTNSipcT1XCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T19:55:13.874637Z"},"content_sha256":"613e095d06cb03b7bc009c95660b7c606ec416c8f94e453a078ce31b471eb370","schema_version":"1.0","event_id":"sha256:613e095d06cb03b7bc009c95660b7c606ec416c8f94e453a078ce31b471eb370"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/bundle.json","state_url":"https://pith.science/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/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":"2026-05-20T19:55:13Z","links":{"resolver":"https://pith.science/pith/2L4FAKGGEOR2HTPLICLDDAS6WF","bundle":"https://pith.science/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/bundle.json","state":"https://pith.science/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2L4FAKGGEOR2HTPLICLDDAS6WF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2L4FAKGGEOR2HTPLICLDDAS6WF","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":"5b2e27ddc7ea6a265d790907172ae82d31964b8e26bd29d1326fcf4c253266bf","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-13T20:52:13Z","title_canon_sha256":"aff3059869cd36b4e19efb4f131b57952fd244b5ba2881d3e756d11de12b1848"},"schema_version":"1.0","source":{"id":"2408.07199","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07199","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07199v1","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07199","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_12","alias_value":"2L4FAKGGEOR2","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_16","alias_value":"2L4FAKGGEOR2HTPL","created_at":"2026-05-20T09:35:08Z"},{"alias_kind":"pith_short_8","alias_value":"2L4FAKGG","created_at":"2026-05-20T09:35:08Z"}],"graph_snapshots":[{"event_id":"sha256:613e095d06cb03b7bc009c95660b7c606ec416c8f94e453a078ce31b471eb370","target":"graph","created_at":"2026-05-20T09:35:08Z","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/2408.07199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown remarkable capabilities in natural language tasks requiring complex reasoning, yet their application in agentic, multi-step reasoning within interactive environments remains a difficult challenge. Traditional supervised pre-training on static datasets falls short in enabling autonomous agent capabilities needed to perform complex decision-making in dynamic settings like web navigation. Previous attempts to bridge this ga-through supervised fine-tuning on curated expert demonstrations-often suffer from compounding errors and limited exploration data, resu","authors_text":"Chelsea Finn, Divyansh Garg, Edmund Mills, Naman Garg, Pranav Putta, Rafael Rafailov, Sumeet Motwani","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-13T20:52:13Z","title":"Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07199","kind":"arxiv","version":1},"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":"sha256:6650972d8fa32b10348aff29ac4320e2b06b2d731da3b9bbbd08692f6ce66471","target":"record","created_at":"2026-05-20T09:35:08Z","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":"5b2e27ddc7ea6a265d790907172ae82d31964b8e26bd29d1326fcf4c253266bf","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-13T20:52:13Z","title_canon_sha256":"aff3059869cd36b4e19efb4f131b57952fd244b5ba2881d3e756d11de12b1848"},"schema_version":"1.0","source":{"id":"2408.07199","kind":"arxiv","version":1}},"canonical_sha256":"d2f85028c623a3a3cdeb409631825eb1571db53863612425ae10a455f16d4184","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2f85028c623a3a3cdeb409631825eb1571db53863612425ae10a455f16d4184","first_computed_at":"2026-05-20T09:35:08.612677Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T09:35:08.612677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gYVYnw6fQVTn1Ss3jPjd+kwyWiz1HS80d34jADhC0Te37ANAYv0ujBYGCDcLBS/E7d6XIUeSVm9QumNFQ91LAA==","signature_status":"signed_v1","signed_at":"2026-05-20T09:35:08.614305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07199","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6650972d8fa32b10348aff29ac4320e2b06b2d731da3b9bbbd08692f6ce66471","sha256:613e095d06cb03b7bc009c95660b7c606ec416c8f94e453a078ce31b471eb370"],"state_sha256":"4de88e938bfb275b032b81fcaf254e3cb6390e4663c12770a441c02659472751"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/n4rfiaqTQj2NQhNXxLcFSH+3kumhls2NagARNy9kpUF1JB6Ik9GUU+ZcSivwR4SWYBPxOILw+HiUIPvs98XBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T19:55:13.878665Z","bundle_sha256":"8e35ab4f7a2449d0abda3ee6b8e22d7b2d1f68da0d6903cb446e7bb6b4526c52"}}