{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NFFHRMR6C5REXXPWSCVQAUUBUC","short_pith_number":"pith:NFFHRMR6","canonical_record":{"source":{"id":"2310.01441","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-30T20:18:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d2d44f32388a697412c3fc843f9baa94cf3d289fc5a35ef9c3259842f9719628","abstract_canon_sha256":"b4b76a1e927ad65e0d17a791259c0632663bc7a21c29d81bbe24c1bca4f23a19"},"schema_version":"1.0"},"canonical_sha256":"694a78b23e17624bddf690ab005281a082cd2a28d8fcd584e0b15d5fff54ec40","source":{"kind":"arxiv","id":"2310.01441","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01441","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01441v2","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01441","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"NFFHRMR6C5RE","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"NFFHRMR6C5REXXPW","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"NFFHRMR6","created_at":"2026-07-05T07:21:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NFFHRMR6C5REXXPWSCVQAUUBUC","target":"record","payload":{"canonical_record":{"source":{"id":"2310.01441","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-30T20:18:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d2d44f32388a697412c3fc843f9baa94cf3d289fc5a35ef9c3259842f9719628","abstract_canon_sha256":"b4b76a1e927ad65e0d17a791259c0632663bc7a21c29d81bbe24c1bca4f23a19"},"schema_version":"1.0"},"canonical_sha256":"694a78b23e17624bddf690ab005281a082cd2a28d8fcd584e0b15d5fff54ec40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:21:12.146472Z","signature_b64":"6XmpHc0DJ3zFTz+sQZiXHbTYgs2pM4HUXxGc7KsZu00/XaCJyH6H4U314t/o+k64J7/B1aAJaZhfvNgFMrjsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"694a78b23e17624bddf690ab005281a082cd2a28d8fcd584e0b15d5fff54ec40","last_reissued_at":"2026-07-05T07:21:12.145984Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:21:12.145984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.01441","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":"2026-07-05T07:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Koi1Q5URoclpjgQP55vgageQ8+jb4INEeEJ0Hzbp+K2RTpU48S2iUITjrvf8Ua+vrNpBd8zSoeLZ6IQHr0OLAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:22:34.562783Z"},"content_sha256":"c748fb7176a5ba70114544de212a2e96e058780e4df41fe9046656d8bf134d06","schema_version":"1.0","event_id":"sha256:c748fb7176a5ba70114544de212a2e96e058780e4df41fe9046656d8bf134d06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NFFHRMR6C5REXXPWSCVQAUUBUC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Boxun Xu, Hejia Geng, Peng Li","submitted_at":"2023-09-30T20:18:50Z","abstract_excerpt":"Large Language Models (LLMs) have demonstrated impressive inferential capabilities, with numerous research endeavors devoted to enhancing this capacity through prompting. Despite these efforts, a unified epistemological foundation is still conspicuously absent. Drawing inspiration from Kant's a priori philosophy, we propose the UPAR prompting framework, designed to emulate the structure of human cognition within LLMs. The UPAR framework is delineated into four phases: \"Understand\", \"Plan\", \"Act\", and \"Reflect\", enabling the extraction of structured information from complex contexts, prior plan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01441","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/2310.01441/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":"2026-07-05T07:21:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O77BGTaFK8ovlYiz/YBsXF/PiCw9RfR7T2ckKchrfEGUwKnvznRznooNZO1pDjmlqOFxyCQ04cYBrp3Q1t+gDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:22:34.563394Z"},"content_sha256":"8b2918c268db2e1ee2d42a3e4a1de84f6d397b270825a8483efe27c88c3a14ec","schema_version":"1.0","event_id":"sha256:8b2918c268db2e1ee2d42a3e4a1de84f6d397b270825a8483efe27c88c3a14ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/bundle.json","state_url":"https://pith.science/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/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":"2026-08-12T18:22:34Z","links":{"resolver":"https://pith.science/pith/NFFHRMR6C5REXXPWSCVQAUUBUC","bundle":"https://pith.science/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/bundle.json","state":"https://pith.science/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFFHRMR6C5REXXPWSCVQAUUBUC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NFFHRMR6C5REXXPWSCVQAUUBUC","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":"b4b76a1e927ad65e0d17a791259c0632663bc7a21c29d81bbe24c1bca4f23a19","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-30T20:18:50Z","title_canon_sha256":"d2d44f32388a697412c3fc843f9baa94cf3d289fc5a35ef9c3259842f9719628"},"schema_version":"1.0","source":{"id":"2310.01441","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01441","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01441v2","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01441","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"NFFHRMR6C5RE","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"NFFHRMR6C5REXXPW","created_at":"2026-07-05T07:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"NFFHRMR6","created_at":"2026-07-05T07:21:12Z"}],"graph_snapshots":[{"event_id":"sha256:8b2918c268db2e1ee2d42a3e4a1de84f6d397b270825a8483efe27c88c3a14ec","target":"graph","created_at":"2026-07-05T07:21:12Z","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/2310.01441/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated impressive inferential capabilities, with numerous research endeavors devoted to enhancing this capacity through prompting. Despite these efforts, a unified epistemological foundation is still conspicuously absent. Drawing inspiration from Kant's a priori philosophy, we propose the UPAR prompting framework, designed to emulate the structure of human cognition within LLMs. The UPAR framework is delineated into four phases: \"Understand\", \"Plan\", \"Act\", and \"Reflect\", enabling the extraction of structured information from complex contexts, prior plan","authors_text":"Boxun Xu, Hejia Geng, Peng Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-30T20:18:50Z","title":"UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01441","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:c748fb7176a5ba70114544de212a2e96e058780e4df41fe9046656d8bf134d06","target":"record","created_at":"2026-07-05T07:21:12Z","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":"b4b76a1e927ad65e0d17a791259c0632663bc7a21c29d81bbe24c1bca4f23a19","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-30T20:18:50Z","title_canon_sha256":"d2d44f32388a697412c3fc843f9baa94cf3d289fc5a35ef9c3259842f9719628"},"schema_version":"1.0","source":{"id":"2310.01441","kind":"arxiv","version":2}},"canonical_sha256":"694a78b23e17624bddf690ab005281a082cd2a28d8fcd584e0b15d5fff54ec40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"694a78b23e17624bddf690ab005281a082cd2a28d8fcd584e0b15d5fff54ec40","first_computed_at":"2026-07-05T07:21:12.145984Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:12.145984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6XmpHc0DJ3zFTz+sQZiXHbTYgs2pM4HUXxGc7KsZu00/XaCJyH6H4U314t/o+k64J7/B1aAJaZhfvNgFMrjsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:12.146472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01441","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c748fb7176a5ba70114544de212a2e96e058780e4df41fe9046656d8bf134d06","sha256:8b2918c268db2e1ee2d42a3e4a1de84f6d397b270825a8483efe27c88c3a14ec"],"state_sha256":"569a256f9ab44b8572fe77b333f2c8446988b2c7dd406fdc4b0cfb64443f7e65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZN/WRbKYrAZZq03DbSg5BsWPgaCvsalY5fVdOZr5/zClxpA3uJU510r+W9b2m4ezIn77pi2pIWTT1CTsQYAYDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T18:22:34.570388Z","bundle_sha256":"6dcbc3e80426ff1266cd6b5461d629d3ef38fe5a6a4a6f4ef527cbcd348f6b9d"}}