{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CU5DG5M42L3IXXWWZGH3TWAZRG","short_pith_number":"pith:CU5DG5M4","canonical_record":{"source":{"id":"2503.01947","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-03T19:00:00Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"0a2676ab788a49337023e406a2e43a5febda9eece83d4395caa02210e54c852e","abstract_canon_sha256":"1b79085eeeadf5efca2562d282c9fd3b07f8b18b106d76f873e4be0816fe8615"},"schema_version":"1.0"},"canonical_sha256":"153a33759cd2f68bded6c98fb9d81989b77c5cfc99e8bc63d3ef9c15d3287657","source":{"kind":"arxiv","id":"2503.01947","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01947","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01947v2","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01947","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_12","alias_value":"CU5DG5M42L3I","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_16","alias_value":"CU5DG5M42L3IXXWW","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_8","alias_value":"CU5DG5M4","created_at":"2026-07-05T10:24:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CU5DG5M42L3IXXWWZGH3TWAZRG","target":"record","payload":{"canonical_record":{"source":{"id":"2503.01947","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-03T19:00:00Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"0a2676ab788a49337023e406a2e43a5febda9eece83d4395caa02210e54c852e","abstract_canon_sha256":"1b79085eeeadf5efca2562d282c9fd3b07f8b18b106d76f873e4be0816fe8615"},"schema_version":"1.0"},"canonical_sha256":"153a33759cd2f68bded6c98fb9d81989b77c5cfc99e8bc63d3ef9c15d3287657","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:24:32.941787Z","signature_b64":"2KyiImuoLbUG0MmbRPS9MyCU/+L8+CMEZ8XeiuVLRIOrEYqoepRUmK5PGPMl2A/r/nv/Wo6/EUDDzIYIqwoBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"153a33759cd2f68bded6c98fb9d81989b77c5cfc99e8bc63d3ef9c15d3287657","last_reissued_at":"2026-07-05T10:24:32.941157Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:24:32.941157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.01947","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":"2026-07-05T10:24:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E3elvDiy/HQt3hhQwytOqWAb0uEUUc1BurGGZLc0Rxt0B1ZxQr4DBq17LLitggqxAF6SrCmvtZmu0SGUBZE/Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T08:20:05.086549Z"},"content_sha256":"459edae8d273b8b5395f11378bd7f6ab7fe5ce3872fc1a86465eca46b25e92c1","schema_version":"1.0","event_id":"sha256:459edae8d273b8b5395f11378bd7f6ab7fe5ce3872fc1a86465eca46b25e92c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CU5DG5M42L3IXXWWZGH3TWAZRG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"Akito Nakanishi, Francesco Pierri, Geng Liu, Yukie Sano","submitted_at":"2025-03-03T19:00:00Z","abstract_excerpt":"In recent years, Large Language Models have attracted growing interest for their significant potential, though concerns have rapidly emerged regarding unsafe behaviors stemming from inherent stereotypes and biases. Most research on stereotypes in LLMs has primarily relied on indirect evaluation setups, in which models are prompted to select between pairs of sentences associated with particular social groups. Recently, direct evaluation methods have emerged, examining open-ended model responses to overcome limitations of previous approaches, such as annotator biases. Most existing studies have "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01947","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/2503.01947/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":"2026-07-05T10:24:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ONWKH0WXSDsDjFcEHLclFTCVk4m9SDuF+XTAkcUuaC8Dx9sQ7A44FwIzXK/mmiTtYYtmhViuYkb8bkteUgqMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T08:20:05.086928Z"},"content_sha256":"61914dc67e5bec6a94063f8f5149da6c7bee5b14aad92c29bbe2b7725f1eb372","schema_version":"1.0","event_id":"sha256:61914dc67e5bec6a94063f8f5149da6c7bee5b14aad92c29bbe2b7725f1eb372"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/bundle.json","state_url":"https://pith.science/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/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":"2026-07-26T08:20:05Z","links":{"resolver":"https://pith.science/pith/CU5DG5M42L3IXXWWZGH3TWAZRG","bundle":"https://pith.science/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/bundle.json","state":"https://pith.science/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CU5DG5M42L3IXXWWZGH3TWAZRG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CU5DG5M42L3IXXWWZGH3TWAZRG","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":"1b79085eeeadf5efca2562d282c9fd3b07f8b18b106d76f873e4be0816fe8615","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-03T19:00:00Z","title_canon_sha256":"0a2676ab788a49337023e406a2e43a5febda9eece83d4395caa02210e54c852e"},"schema_version":"1.0","source":{"id":"2503.01947","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01947","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01947v2","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01947","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_12","alias_value":"CU5DG5M42L3I","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_16","alias_value":"CU5DG5M42L3IXXWW","created_at":"2026-07-05T10:24:32Z"},{"alias_kind":"pith_short_8","alias_value":"CU5DG5M4","created_at":"2026-07-05T10:24:32Z"}],"graph_snapshots":[{"event_id":"sha256:61914dc67e5bec6a94063f8f5149da6c7bee5b14aad92c29bbe2b7725f1eb372","target":"graph","created_at":"2026-07-05T10:24:32Z","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/2503.01947/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, Large Language Models have attracted growing interest for their significant potential, though concerns have rapidly emerged regarding unsafe behaviors stemming from inherent stereotypes and biases. Most research on stereotypes in LLMs has primarily relied on indirect evaluation setups, in which models are prompted to select between pairs of sentences associated with particular social groups. Recently, direct evaluation methods have emerged, examining open-ended model responses to overcome limitations of previous approaches, such as annotator biases. Most existing studies have ","authors_text":"Akito Nakanishi, Francesco Pierri, Geng Liu, Yukie Sano","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-03T19:00:00Z","title":"Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01947","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":"sha256:459edae8d273b8b5395f11378bd7f6ab7fe5ce3872fc1a86465eca46b25e92c1","target":"record","created_at":"2026-07-05T10:24:32Z","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":"1b79085eeeadf5efca2562d282c9fd3b07f8b18b106d76f873e4be0816fe8615","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-03T19:00:00Z","title_canon_sha256":"0a2676ab788a49337023e406a2e43a5febda9eece83d4395caa02210e54c852e"},"schema_version":"1.0","source":{"id":"2503.01947","kind":"arxiv","version":2}},"canonical_sha256":"153a33759cd2f68bded6c98fb9d81989b77c5cfc99e8bc63d3ef9c15d3287657","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"153a33759cd2f68bded6c98fb9d81989b77c5cfc99e8bc63d3ef9c15d3287657","first_computed_at":"2026-07-05T10:24:32.941157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:32.941157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2KyiImuoLbUG0MmbRPS9MyCU/+L8+CMEZ8XeiuVLRIOrEYqoepRUmK5PGPMl2A/r/nv/Wo6/EUDDzIYIqwoBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:32.941787Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.01947","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:459edae8d273b8b5395f11378bd7f6ab7fe5ce3872fc1a86465eca46b25e92c1","sha256:61914dc67e5bec6a94063f8f5149da6c7bee5b14aad92c29bbe2b7725f1eb372"],"state_sha256":"827bd374375127846a0a99ae2ea091d4ce200cf27a7458bd9e9d5642d6732041"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"skmwvd5eQrwNegUu7i3tX4EHL78KpWNVMSbQZ9qYlE6M8s2vGIcrXO3Wrni2PdyFFFR2ooHzRTSvRNa2i/AuDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T08:20:05.089155Z","bundle_sha256":"4ffb628d817636d0c19ad63a3ac14088c1adfb6e73464e8d7d4eed3038ff78cc"}}