{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MY3COAZNTRNKL5TK7ID2MHFQU2","short_pith_number":"pith:MY3COAZN","canonical_record":{"source":{"id":"2405.06691","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T09:36:23Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"5d14984639e33d622f7d0d69b4eaf3c63e821aebf5926e21dd5672813c909d35","abstract_canon_sha256":"23243cfd618b26d6a3bfb3d6e8eb2e3bb9dfbdfe4da0ee914742d4fe30e31855"},"schema_version":"1.0"},"canonical_sha256":"663627032d9c5aa5f66afa07a61cb0a6b480d1916763109e5cc1ed57dfb3e0ce","source":{"kind":"arxiv","id":"2405.06691","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06691","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06691v3","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06691","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_12","alias_value":"MY3COAZNTRNK","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_16","alias_value":"MY3COAZNTRNKL5TK","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_8","alias_value":"MY3COAZN","created_at":"2026-07-05T11:00:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MY3COAZNTRNKL5TK7ID2MHFQU2","target":"record","payload":{"canonical_record":{"source":{"id":"2405.06691","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T09:36:23Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"5d14984639e33d622f7d0d69b4eaf3c63e821aebf5926e21dd5672813c909d35","abstract_canon_sha256":"23243cfd618b26d6a3bfb3d6e8eb2e3bb9dfbdfe4da0ee914742d4fe30e31855"},"schema_version":"1.0"},"canonical_sha256":"663627032d9c5aa5f66afa07a61cb0a6b480d1916763109e5cc1ed57dfb3e0ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:00:59.047884Z","signature_b64":"Zcx8txv1IiLWSWd4bcfpIZhiAv9ryeY0Vy4lIYvNwSa2drREhFtxAhkW1NJYXg3+QxhE+LsoJmV/U83ZfGDyCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"663627032d9c5aa5f66afa07a61cb0a6b480d1916763109e5cc1ed57dfb3e0ce","last_reissued_at":"2026-07-05T11:00:59.047376Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:00:59.047376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.06691","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:00:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H7C3SjhQ4w2Zl2/h3m3SpEnnSoNYWZWGbZcaL/0Qx4mkL5xM2ovcltdY0AgVTLXkxsXStnA/LKnH39vxaGvNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:25:04.040444Z"},"content_sha256":"08e6c18790a86101e0ecf464360039087dabec58b8bb007cbf2828852b8f8276","schema_version":"1.0","event_id":"sha256:08e6c18790a86101e0ecf464360039087dabec58b8bb007cbf2828852b8f8276"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MY3COAZNTRNKL5TK7ID2MHFQU2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fleet of Agents: Coordinated Problem Solving with Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Akhil Arora, Caglar Gulcehre, Lars Klein, Nearchos Potamitis, Robert West, Roland Aydin","submitted_at":"2024-05-07T09:36:23Z","abstract_excerpt":"While numerous frameworks have been developed to enhance the reasoning abilities of large language models (LLMs), there is a scarcity of methods that effectively balance the trade-off between cost and quality. In this paper, we introduce Fleet of Agents (FoA), a novel and intuitive yet principled framework utilizing LLMs as agents to navigate through dynamic tree searches, employing a genetic-type particle filtering approach. FoA spawns a multitude of agents, each exploring the search space autonomously, followed by a selection phase where resampling based on a heuristic value function optimiz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06691","kind":"arxiv","version":3},"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/2405.06691/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":"2026-07-05T11:00:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYU209U9AHjsusfiPQKPJugoqrteheFcGgB5rR+BV1WmNtnZ1JzFCzeQwP+gYy4oMpTVTvFMCMyLUNPRLXMdCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:25:04.041450Z"},"content_sha256":"968c01e74d8966b16ac50bd5094005d277422a5e86dae51f8ab34838742c2543","schema_version":"1.0","event_id":"sha256:968c01e74d8966b16ac50bd5094005d277422a5e86dae51f8ab34838742c2543"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/bundle.json","state_url":"https://pith.science/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/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":"2026-08-21T08:25:04Z","links":{"resolver":"https://pith.science/pith/MY3COAZNTRNKL5TK7ID2MHFQU2","bundle":"https://pith.science/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/bundle.json","state":"https://pith.science/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MY3COAZNTRNKL5TK7ID2MHFQU2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MY3COAZNTRNKL5TK7ID2MHFQU2","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":"23243cfd618b26d6a3bfb3d6e8eb2e3bb9dfbdfe4da0ee914742d4fe30e31855","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T09:36:23Z","title_canon_sha256":"5d14984639e33d622f7d0d69b4eaf3c63e821aebf5926e21dd5672813c909d35"},"schema_version":"1.0","source":{"id":"2405.06691","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06691","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06691v3","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06691","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_12","alias_value":"MY3COAZNTRNK","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_16","alias_value":"MY3COAZNTRNKL5TK","created_at":"2026-07-05T11:00:59Z"},{"alias_kind":"pith_short_8","alias_value":"MY3COAZN","created_at":"2026-07-05T11:00:59Z"}],"graph_snapshots":[{"event_id":"sha256:968c01e74d8966b16ac50bd5094005d277422a5e86dae51f8ab34838742c2543","target":"graph","created_at":"2026-07-05T11:00:59Z","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/2405.06691/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While numerous frameworks have been developed to enhance the reasoning abilities of large language models (LLMs), there is a scarcity of methods that effectively balance the trade-off between cost and quality. In this paper, we introduce Fleet of Agents (FoA), a novel and intuitive yet principled framework utilizing LLMs as agents to navigate through dynamic tree searches, employing a genetic-type particle filtering approach. FoA spawns a multitude of agents, each exploring the search space autonomously, followed by a selection phase where resampling based on a heuristic value function optimiz","authors_text":"Akhil Arora, Caglar Gulcehre, Lars Klein, Nearchos Potamitis, Robert West, Roland Aydin","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T09:36:23Z","title":"Fleet of Agents: Coordinated Problem Solving with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06691","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":"sha256:08e6c18790a86101e0ecf464360039087dabec58b8bb007cbf2828852b8f8276","target":"record","created_at":"2026-07-05T11:00:59Z","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":"23243cfd618b26d6a3bfb3d6e8eb2e3bb9dfbdfe4da0ee914742d4fe30e31855","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T09:36:23Z","title_canon_sha256":"5d14984639e33d622f7d0d69b4eaf3c63e821aebf5926e21dd5672813c909d35"},"schema_version":"1.0","source":{"id":"2405.06691","kind":"arxiv","version":3}},"canonical_sha256":"663627032d9c5aa5f66afa07a61cb0a6b480d1916763109e5cc1ed57dfb3e0ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"663627032d9c5aa5f66afa07a61cb0a6b480d1916763109e5cc1ed57dfb3e0ce","first_computed_at":"2026-07-05T11:00:59.047376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:59.047376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zcx8txv1IiLWSWd4bcfpIZhiAv9ryeY0Vy4lIYvNwSa2drREhFtxAhkW1NJYXg3+QxhE+LsoJmV/U83ZfGDyCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:59.047884Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.06691","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08e6c18790a86101e0ecf464360039087dabec58b8bb007cbf2828852b8f8276","sha256:968c01e74d8966b16ac50bd5094005d277422a5e86dae51f8ab34838742c2543"],"state_sha256":"eb9d77f49597f8724057b30da284b3a4f5c01cb216bdf35145f45833b063b1b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Aof9zVdxpwe9Vkh+9BL+f/XK8Ce0wwD3yt07SIpEh1JwU/csCN/fVYomoe50aSDTW2iZKhlfLOx3FBchX63AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T08:25:04.050247Z","bundle_sha256":"88a7ec220ad8144fdcfac6a15faa32f681d779008993d16846526d04119796b7"}}