{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BEWNCFFEMXWYUQZ2HIRNK4BOV6","short_pith_number":"pith:BEWNCFFE","canonical_record":{"source":{"id":"2310.03710","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-05T17:36:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f94cd67754ee5743e20ff266c3a065f2da711cdf77a142c4c34dd0946383c8e2","abstract_canon_sha256":"6c751c3534c2c459b10ed45fb08675a0c0e1539cd9e9bc0d59f023cd059da08e"},"schema_version":"1.0"},"canonical_sha256":"092cd114a465ed8a433a3a22d5702eafb277197e6d0e9033ff680c35ce3acf5c","source":{"kind":"arxiv","id":"2310.03710","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.03710","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"arxiv_version","alias_value":"2310.03710v2","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.03710","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_12","alias_value":"BEWNCFFEMXWY","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_16","alias_value":"BEWNCFFEMXWYUQZ2","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_8","alias_value":"BEWNCFFE","created_at":"2026-07-05T08:55:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BEWNCFFEMXWYUQZ2HIRNK4BOV6","target":"record","payload":{"canonical_record":{"source":{"id":"2310.03710","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-05T17:36:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f94cd67754ee5743e20ff266c3a065f2da711cdf77a142c4c34dd0946383c8e2","abstract_canon_sha256":"6c751c3534c2c459b10ed45fb08675a0c0e1539cd9e9bc0d59f023cd059da08e"},"schema_version":"1.0"},"canonical_sha256":"092cd114a465ed8a433a3a22d5702eafb277197e6d0e9033ff680c35ce3acf5c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:20.732651Z","signature_b64":"6tdmJ5iHiY5P7l+LOc753VZ39gdPIxWridRd/f0KmHhCmfXF8XLkBGKeGCSr4K5vDGb+1PsRYXbvxTp3lCJtAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"092cd114a465ed8a433a3a22d5702eafb277197e6d0e9033ff680c35ce3acf5c","last_reissued_at":"2026-07-05T08:55:20.732255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:20.732255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.03710","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":"2026-07-05T08:55:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ta7iqTVkAguHB18quggtp58FBF3Pqcnlvz9O8pJL9F8CIGelOB1rjFT7I+8gnhU23+zPXElCaQRr7gye+j0JBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:37:30.412716Z"},"content_sha256":"15679e93aaa97ecd67c4cd849453295154cc9fb2de872e151866f0e5dc8fa5cc","schema_version":"1.0","event_id":"sha256:15679e93aaa97ecd67c4cd849453295154cc9fb2de872e151866f0e5dc8fa5cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BEWNCFFEMXWYUQZ2HIRNK4BOV6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent Instructs Large Language Models to be General Zero-Shot Reasoners","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chenguang Wang, Dawn Song, Fankun Zeng, Kyle Montgomery, Nicholas Crispino","submitted_at":"2023-10-05T17:36:16Z","abstract_excerpt":"We introduce a method to improve the zero-shot reasoning abilities of large language models on general language understanding tasks. Specifically, we build an autonomous agent to instruct the reasoning process of large language models. We show this approach further unleashes the zero-shot reasoning abilities of large language models to more tasks. We study the performance of our method on a wide set of datasets spanning generation, classification, and reasoning. We show that our method generalizes to most tasks and obtains state-of-the-art zero-shot performance on 20 of the 29 datasets that we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.03710","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/2310.03710/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":"2026-07-05T08:55:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YP/OybgH4HME7nOrBJ+8fQfUktM2vHOobCQL78Lph+9Ugp4Q8UqZntWO7uQS+zjcQfy2C6mnRkrNPXSvKok+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:37:30.414264Z"},"content_sha256":"dd8d5fe7dfc3bfb56230e2e95c66f8a0349da790556b5c8323ca0a9c0ddbeb3d","schema_version":"1.0","event_id":"sha256:dd8d5fe7dfc3bfb56230e2e95c66f8a0349da790556b5c8323ca0a9c0ddbeb3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/bundle.json","state_url":"https://pith.science/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/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":"2026-08-07T10:37:30Z","links":{"resolver":"https://pith.science/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6","bundle":"https://pith.science/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/bundle.json","state":"https://pith.science/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BEWNCFFEMXWYUQZ2HIRNK4BOV6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BEWNCFFEMXWYUQZ2HIRNK4BOV6","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":"6c751c3534c2c459b10ed45fb08675a0c0e1539cd9e9bc0d59f023cd059da08e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-05T17:36:16Z","title_canon_sha256":"f94cd67754ee5743e20ff266c3a065f2da711cdf77a142c4c34dd0946383c8e2"},"schema_version":"1.0","source":{"id":"2310.03710","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.03710","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"arxiv_version","alias_value":"2310.03710v2","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.03710","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_12","alias_value":"BEWNCFFEMXWY","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_16","alias_value":"BEWNCFFEMXWYUQZ2","created_at":"2026-07-05T08:55:20Z"},{"alias_kind":"pith_short_8","alias_value":"BEWNCFFE","created_at":"2026-07-05T08:55:20Z"}],"graph_snapshots":[{"event_id":"sha256:dd8d5fe7dfc3bfb56230e2e95c66f8a0349da790556b5c8323ca0a9c0ddbeb3d","target":"graph","created_at":"2026-07-05T08:55:20Z","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/2310.03710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a method to improve the zero-shot reasoning abilities of large language models on general language understanding tasks. Specifically, we build an autonomous agent to instruct the reasoning process of large language models. We show this approach further unleashes the zero-shot reasoning abilities of large language models to more tasks. We study the performance of our method on a wide set of datasets spanning generation, classification, and reasoning. We show that our method generalizes to most tasks and obtains state-of-the-art zero-shot performance on 20 of the 29 datasets that we","authors_text":"Chenguang Wang, Dawn Song, Fankun Zeng, Kyle Montgomery, Nicholas Crispino","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-05T17:36:16Z","title":"Agent Instructs Large Language Models to be General Zero-Shot Reasoners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.03710","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":"sha256:15679e93aaa97ecd67c4cd849453295154cc9fb2de872e151866f0e5dc8fa5cc","target":"record","created_at":"2026-07-05T08:55:20Z","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":"6c751c3534c2c459b10ed45fb08675a0c0e1539cd9e9bc0d59f023cd059da08e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-05T17:36:16Z","title_canon_sha256":"f94cd67754ee5743e20ff266c3a065f2da711cdf77a142c4c34dd0946383c8e2"},"schema_version":"1.0","source":{"id":"2310.03710","kind":"arxiv","version":2}},"canonical_sha256":"092cd114a465ed8a433a3a22d5702eafb277197e6d0e9033ff680c35ce3acf5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"092cd114a465ed8a433a3a22d5702eafb277197e6d0e9033ff680c35ce3acf5c","first_computed_at":"2026-07-05T08:55:20.732255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:20.732255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6tdmJ5iHiY5P7l+LOc753VZ39gdPIxWridRd/f0KmHhCmfXF8XLkBGKeGCSr4K5vDGb+1PsRYXbvxTp3lCJtAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:20.732651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.03710","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15679e93aaa97ecd67c4cd849453295154cc9fb2de872e151866f0e5dc8fa5cc","sha256:dd8d5fe7dfc3bfb56230e2e95c66f8a0349da790556b5c8323ca0a9c0ddbeb3d"],"state_sha256":"04b86d62e8e60e992962c75c55d60dfaa203700af1eeb7c4fc399d6340224163"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K4zpoOiYga6RoZYfldGBQXhy7RXKex26aJ7TSWJ1FUI2w2CCG2OpB/JzELrOvYM2N3xBRytMfJd3PiVvJNobDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:37:30.423876Z","bundle_sha256":"1d8f18a626fe07cc0d6fd26c8b4e60d8d0f739bf30410caf16168e27ed1dc695"}}