{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:42ZAEA56DVGWKEAM7CKYQFSTPD","short_pith_number":"pith:42ZAEA56","canonical_record":{"source":{"id":"2503.06011","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-08T02:20:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"424e6be573a00614f8686bf736e365f833c3dc2d43c8439aaa14844667125ec9","abstract_canon_sha256":"e8b46dd728d411b615180335dad1ccbf462f2d8ee93e1a0f9b761d895642ec2e"},"schema_version":"1.0"},"canonical_sha256":"e6b20203be1d4d65100cf89588165378d6dfbfb6c4b1e1abb6c7e83b03316568","source":{"kind":"arxiv","id":"2503.06011","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06011","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06011v1","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06011","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_12","alias_value":"42ZAEA56DVGW","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_16","alias_value":"42ZAEA56DVGWKEAM","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_8","alias_value":"42ZAEA56","created_at":"2026-07-05T10:26:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:42ZAEA56DVGWKEAM7CKYQFSTPD","target":"record","payload":{"canonical_record":{"source":{"id":"2503.06011","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-08T02:20:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"424e6be573a00614f8686bf736e365f833c3dc2d43c8439aaa14844667125ec9","abstract_canon_sha256":"e8b46dd728d411b615180335dad1ccbf462f2d8ee93e1a0f9b761d895642ec2e"},"schema_version":"1.0"},"canonical_sha256":"e6b20203be1d4d65100cf89588165378d6dfbfb6c4b1e1abb6c7e83b03316568","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:26:51.577745Z","signature_b64":"wqL7qiVeMO0HZ+/XCBrWnb+zElXHI5gYUYxq5gR995jpHMXEPRpyKaFfwoBvMbQ87NssrXrHkhTkXcOM9/+/Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6b20203be1d4d65100cf89588165378d6dfbfb6c4b1e1abb6c7e83b03316568","last_reissued_at":"2026-07-05T10:26:51.577261Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:26:51.577261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.06011","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":"2026-07-05T10:26:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N/EDfTT1c3zMD6PP9thThrq/HOg7Sht8RJmeWyMPzuzxAR7JJoLXDmHbo0NmRbv2DyI7fGhfcqk/8w+9ALoICA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:38:48.099677Z"},"content_sha256":"1e9bb79daf93bbbfe7aea9b7db92e6774abce5e3b4379a912b24bff709d21b9d","schema_version":"1.0","event_id":"sha256:1e9bb79daf93bbbfe7aea9b7db92e6774abce5e3b4379a912b24bff709d21b9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:42ZAEA56DVGWKEAM7CKYQFSTPD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Masahiro Kaneko, Naoaki Okazaki, Panatchakorn Anantaprayoon","submitted_at":"2025-03-08T02:20:43Z","abstract_excerpt":"Self-Correction based on feedback improves the output quality of Large Language Models (LLMs). Moreover, as Self-Correction functions like the slow and conscious System-2 thinking from cognitive psychology's perspective, it can potentially reduce LLMs' social biases. LLMs are sensitive to contextual ambiguities and inconsistencies; therefore, explicitly communicating their intentions during interactions when applying Self-Correction for debiasing is crucial. In this study, we demonstrate that clarifying intentions is essential for effectively reducing biases in LLMs through Self-Correction. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06011","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/2503.06011/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":"2026-07-05T10:26:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hpBv55tCbbAWh7yfo6rhI8D0ZPWdUoeWTRk2escsFqcPP5VvIg7niiUIGyh4RYZ9bOB5ZywmBuH2Agi/9vawAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:38:48.100161Z"},"content_sha256":"b6762d5acb5757b4f86a23e9a72e0f8da12e92c969d809480834175a08bbe186","schema_version":"1.0","event_id":"sha256:b6762d5acb5757b4f86a23e9a72e0f8da12e92c969d809480834175a08bbe186"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/bundle.json","state_url":"https://pith.science/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/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":"2026-08-08T06:38:48Z","links":{"resolver":"https://pith.science/pith/42ZAEA56DVGWKEAM7CKYQFSTPD","bundle":"https://pith.science/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/bundle.json","state":"https://pith.science/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/42ZAEA56DVGWKEAM7CKYQFSTPD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:42ZAEA56DVGWKEAM7CKYQFSTPD","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":"e8b46dd728d411b615180335dad1ccbf462f2d8ee93e1a0f9b761d895642ec2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-08T02:20:43Z","title_canon_sha256":"424e6be573a00614f8686bf736e365f833c3dc2d43c8439aaa14844667125ec9"},"schema_version":"1.0","source":{"id":"2503.06011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06011","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06011v1","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06011","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_12","alias_value":"42ZAEA56DVGW","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_16","alias_value":"42ZAEA56DVGWKEAM","created_at":"2026-07-05T10:26:51Z"},{"alias_kind":"pith_short_8","alias_value":"42ZAEA56","created_at":"2026-07-05T10:26:51Z"}],"graph_snapshots":[{"event_id":"sha256:b6762d5acb5757b4f86a23e9a72e0f8da12e92c969d809480834175a08bbe186","target":"graph","created_at":"2026-07-05T10:26:51Z","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/2503.06011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-Correction based on feedback improves the output quality of Large Language Models (LLMs). Moreover, as Self-Correction functions like the slow and conscious System-2 thinking from cognitive psychology's perspective, it can potentially reduce LLMs' social biases. LLMs are sensitive to contextual ambiguities and inconsistencies; therefore, explicitly communicating their intentions during interactions when applying Self-Correction for debiasing is crucial. In this study, we demonstrate that clarifying intentions is essential for effectively reducing biases in LLMs through Self-Correction. We","authors_text":"Masahiro Kaneko, Naoaki Okazaki, Panatchakorn Anantaprayoon","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-08T02:20:43Z","title":"Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06011","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":"sha256:1e9bb79daf93bbbfe7aea9b7db92e6774abce5e3b4379a912b24bff709d21b9d","target":"record","created_at":"2026-07-05T10:26:51Z","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":"e8b46dd728d411b615180335dad1ccbf462f2d8ee93e1a0f9b761d895642ec2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-08T02:20:43Z","title_canon_sha256":"424e6be573a00614f8686bf736e365f833c3dc2d43c8439aaa14844667125ec9"},"schema_version":"1.0","source":{"id":"2503.06011","kind":"arxiv","version":1}},"canonical_sha256":"e6b20203be1d4d65100cf89588165378d6dfbfb6c4b1e1abb6c7e83b03316568","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6b20203be1d4d65100cf89588165378d6dfbfb6c4b1e1abb6c7e83b03316568","first_computed_at":"2026-07-05T10:26:51.577261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:26:51.577261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wqL7qiVeMO0HZ+/XCBrWnb+zElXHI5gYUYxq5gR995jpHMXEPRpyKaFfwoBvMbQ87NssrXrHkhTkXcOM9/+/Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:26:51.577745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e9bb79daf93bbbfe7aea9b7db92e6774abce5e3b4379a912b24bff709d21b9d","sha256:b6762d5acb5757b4f86a23e9a72e0f8da12e92c969d809480834175a08bbe186"],"state_sha256":"2dbb2034fc6046b618abe960d63e0aab1426d74de1de509fc166236478f55ede"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yids8DLB2bCnZgBcRc4G/cwxTd5y+rFpwAYg/aSlUtkntm3P0YkBCaXEP6IHKGMR3RdTlbzekG5K4Ka7KBfLCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T06:38:48.104768Z","bundle_sha256":"738b93311f895f3b80814a449b4d2381edbf69e79e4127b46436cbf435003368"}}