{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FIZ5HTOHWH3EEIJUEOXAX4DAVV","short_pith_number":"pith:FIZ5HTOH","canonical_record":{"source":{"id":"2308.10379","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-20T22:36:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"52a379b009768aa9c3125c0fb1157c8267dffad060b38b64998c609c7bc87b97","abstract_canon_sha256":"f64ccb78051047515b2ef7489731cb25302017bb4490216d6d29ea4eaa9daefe"},"schema_version":"1.0"},"canonical_sha256":"2a33d3cdc7b1f642213423ae0bf060ad5a240539dbb2806d9c6b4c28dab58c7e","source":{"kind":"arxiv","id":"2308.10379","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10379","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10379v3","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10379","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_12","alias_value":"FIZ5HTOHWH3E","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_16","alias_value":"FIZ5HTOHWH3EEIJU","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_8","alias_value":"FIZ5HTOH","created_at":"2026-07-05T08:26:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FIZ5HTOHWH3EEIJUEOXAX4DAVV","target":"record","payload":{"canonical_record":{"source":{"id":"2308.10379","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-20T22:36:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"52a379b009768aa9c3125c0fb1157c8267dffad060b38b64998c609c7bc87b97","abstract_canon_sha256":"f64ccb78051047515b2ef7489731cb25302017bb4490216d6d29ea4eaa9daefe"},"schema_version":"1.0"},"canonical_sha256":"2a33d3cdc7b1f642213423ae0bf060ad5a240539dbb2806d9c6b4c28dab58c7e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:26:13.439345Z","signature_b64":"C1RajJmGl4G2ZT23SsQm28A1dRI/2Xj1GBPhPN5l5ual1jf08KIZPoahzCH7+1CPd5S3g9CYryLrVoyi0DDwDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a33d3cdc7b1f642213423ae0bf060ad5a240539dbb2806d9c6b4c28dab58c7e","last_reissued_at":"2026-07-05T08:26:13.438826Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:26:13.438826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.10379","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":"2026-07-05T08:26:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P1x/H7aHtFaQHJbXHt8YrsYmHVQBMD4zDcfKzeJsKTrP71sk2xBUj6rXFLWuuGTprql8E8K6vkzI8kA7rDbEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:19:09.356571Z"},"content_sha256":"658769704a544ddf9f34990198cced0dd7add9759a8a021554066e69c2075a1f","schema_version":"1.0","event_id":"sha256:658769704a544ddf9f34990198cced0dd7add9759a8a021554066e69c2075a1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FIZ5HTOHWH3EEIJUEOXAX4DAVV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ahmad Al-Tawaha, Bilgehan Sel, Ming Jin, Ruoxi Jia, Vanshaj Khattar","submitted_at":"2023-08-20T22:36:23Z","abstract_excerpt":"Current literature, aiming to surpass the \"Chain-of-Thought\" approach, often resorts to external modi operandi involving halting, modifying, and then resuming the generation process to boost Large Language Models' (LLMs) reasoning capacities. Due to their myopic perspective, they escalate the number of query requests, leading to increased costs, memory, and computational overheads. Addressing this, we propose the Algorithm of Thoughts -- a novel strategy that propels LLMs through algorithmic reasoning pathways. By employing algorithmic examples fully in-context, this overarching view of the wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10379","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/2308.10379/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":"2026-07-05T08:26:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HPM4zRns4oqSzcMLd9dtPDvbLljWbNgMpJKzppyaqj27RnQT4kz0/TZADieKnorhD2aMeQbviYVEXD5jgwXCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:19:09.357624Z"},"content_sha256":"ae721314e061b6f71ca6bb8bf4e35cb522c7e919fd0d56e5040fd06a5846c20c","schema_version":"1.0","event_id":"sha256:ae721314e061b6f71ca6bb8bf4e35cb522c7e919fd0d56e5040fd06a5846c20c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/bundle.json","state_url":"https://pith.science/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/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":"2026-08-04T14:19:09Z","links":{"resolver":"https://pith.science/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV","bundle":"https://pith.science/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/bundle.json","state":"https://pith.science/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FIZ5HTOHWH3EEIJUEOXAX4DAVV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FIZ5HTOHWH3EEIJUEOXAX4DAVV","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":"f64ccb78051047515b2ef7489731cb25302017bb4490216d6d29ea4eaa9daefe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-20T22:36:23Z","title_canon_sha256":"52a379b009768aa9c3125c0fb1157c8267dffad060b38b64998c609c7bc87b97"},"schema_version":"1.0","source":{"id":"2308.10379","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10379","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10379v3","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10379","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_12","alias_value":"FIZ5HTOHWH3E","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_16","alias_value":"FIZ5HTOHWH3EEIJU","created_at":"2026-07-05T08:26:13Z"},{"alias_kind":"pith_short_8","alias_value":"FIZ5HTOH","created_at":"2026-07-05T08:26:13Z"}],"graph_snapshots":[{"event_id":"sha256:ae721314e061b6f71ca6bb8bf4e35cb522c7e919fd0d56e5040fd06a5846c20c","target":"graph","created_at":"2026-07-05T08:26:13Z","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/2308.10379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current literature, aiming to surpass the \"Chain-of-Thought\" approach, often resorts to external modi operandi involving halting, modifying, and then resuming the generation process to boost Large Language Models' (LLMs) reasoning capacities. Due to their myopic perspective, they escalate the number of query requests, leading to increased costs, memory, and computational overheads. Addressing this, we propose the Algorithm of Thoughts -- a novel strategy that propels LLMs through algorithmic reasoning pathways. By employing algorithmic examples fully in-context, this overarching view of the wh","authors_text":"Ahmad Al-Tawaha, Bilgehan Sel, Ming Jin, Ruoxi Jia, Vanshaj Khattar","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-20T22:36:23Z","title":"Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10379","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":"sha256:658769704a544ddf9f34990198cced0dd7add9759a8a021554066e69c2075a1f","target":"record","created_at":"2026-07-05T08:26:13Z","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":"f64ccb78051047515b2ef7489731cb25302017bb4490216d6d29ea4eaa9daefe","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-20T22:36:23Z","title_canon_sha256":"52a379b009768aa9c3125c0fb1157c8267dffad060b38b64998c609c7bc87b97"},"schema_version":"1.0","source":{"id":"2308.10379","kind":"arxiv","version":3}},"canonical_sha256":"2a33d3cdc7b1f642213423ae0bf060ad5a240539dbb2806d9c6b4c28dab58c7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a33d3cdc7b1f642213423ae0bf060ad5a240539dbb2806d9c6b4c28dab58c7e","first_computed_at":"2026-07-05T08:26:13.438826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:26:13.438826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C1RajJmGl4G2ZT23SsQm28A1dRI/2Xj1GBPhPN5l5ual1jf08KIZPoahzCH7+1CPd5S3g9CYryLrVoyi0DDwDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:26:13.439345Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10379","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:658769704a544ddf9f34990198cced0dd7add9759a8a021554066e69c2075a1f","sha256:ae721314e061b6f71ca6bb8bf4e35cb522c7e919fd0d56e5040fd06a5846c20c"],"state_sha256":"e82f9b4de329dddf91418e4b5f060cdff33cbde138ef2a53b46d5c76a5b46aa9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x9+IWE08EXVs5Pqh+V35u9gXbMqWMP0hqpPWuEvnEz/Lv1Hfa9sNj+PCo2yy1xMjjx7NbKCItttOR01eBS2VCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T14:19:09.401483Z","bundle_sha256":"8230523357614e7ed0179aa935580f04bd11b77603e274f3941f226f3607a05c"}}