{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QQDSWYUBADBMRGWAIZ5XP22ZKM","short_pith_number":"pith:QQDSWYUB","canonical_record":{"source":{"id":"2407.05271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-07T05:59:09Z","cross_cats_sorted":[],"title_canon_sha256":"bbaed43ff6e0f593a3be5176454828ec4153e8d8b3ad8f629ff812d50334bb94","abstract_canon_sha256":"63b30ecb3164287f7b015ce200f6cfde9a721ee8dede74d914ec74300345fed6"},"schema_version":"1.0"},"canonical_sha256":"84072b628100c2c89ac0467b77eb595301448367e22707c1ca9ca92521c408fe","source":{"kind":"arxiv","id":"2407.05271","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.05271","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.05271v1","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.05271","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_12","alias_value":"QQDSWYUBADBM","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_16","alias_value":"QQDSWYUBADBMRGWA","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_8","alias_value":"QQDSWYUB","created_at":"2026-07-05T08:41:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QQDSWYUBADBMRGWAIZ5XP22ZKM","target":"record","payload":{"canonical_record":{"source":{"id":"2407.05271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-07T05:59:09Z","cross_cats_sorted":[],"title_canon_sha256":"bbaed43ff6e0f593a3be5176454828ec4153e8d8b3ad8f629ff812d50334bb94","abstract_canon_sha256":"63b30ecb3164287f7b015ce200f6cfde9a721ee8dede74d914ec74300345fed6"},"schema_version":"1.0"},"canonical_sha256":"84072b628100c2c89ac0467b77eb595301448367e22707c1ca9ca92521c408fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:10.599852Z","signature_b64":"YuUqAAQ0NKaudD6y6xnPwXsueTRzDGfTX5EUa1LKKMxz27ZMaowSC1MQ4Xy/gDv1uwcCaeabtQ0iuFoPSE2JCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84072b628100c2c89ac0467b77eb595301448367e22707c1ca9ca92521c408fe","last_reissued_at":"2026-07-05T08:41:10.599324Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:10.599324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.05271","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":"2026-07-05T08:41:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PiK4nMqUWhk92/ouJGSg6n/cJcXtXtWkY6uIjNN1pFkPcD5pruoJh5gj4bSwniDiDMwQPycnE7UKZd/UO/y6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:29:33.439682Z"},"content_sha256":"907f239da18ab4bbdbbcec98a8f1e7b63b95235c918b9251a02e1c0733e29d3b","schema_version":"1.0","event_id":"sha256:907f239da18ab4bbdbbcec98a8f1e7b63b95235c918b9251a02e1c0733e29d3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QQDSWYUBADBMRGWAIZ5XP22ZKM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Apratim Mishra, Haejin Lee, Jana Diesner, Jinseok Kim, Shubhanshu Mishra, Sullam Jeoung, Zhiwen You","submitted_at":"2024-07-07T05:59:09Z","abstract_excerpt":"Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing gender-neutral names can reduce the inclusiveness of gender prediction tasks. We introduce an additional gender category, i.e., \"neutral\", to study and address potential gender biases in Large Language Models (LLMs). We evaluate the performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.05271","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/2407.05271/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":"2026-07-05T08:41:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/ruaQX2W35njOc/j2SIzb4VbYO1+i9UkaM+3VfSOB5emzbkgsYZMYFzaHHj/5q5zCOmJtziPRFmhzPolyobBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:29:33.440276Z"},"content_sha256":"c0d471efcace4fb33025bc07fff3668a309df6ffe4f23d7f8810bd89f90c9c1e","schema_version":"1.0","event_id":"sha256:c0d471efcace4fb33025bc07fff3668a309df6ffe4f23d7f8810bd89f90c9c1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/bundle.json","state_url":"https://pith.science/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/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":"2026-08-07T18:29:33Z","links":{"resolver":"https://pith.science/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM","bundle":"https://pith.science/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/bundle.json","state":"https://pith.science/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QQDSWYUBADBMRGWAIZ5XP22ZKM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QQDSWYUBADBMRGWAIZ5XP22ZKM","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":"63b30ecb3164287f7b015ce200f6cfde9a721ee8dede74d914ec74300345fed6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-07T05:59:09Z","title_canon_sha256":"bbaed43ff6e0f593a3be5176454828ec4153e8d8b3ad8f629ff812d50334bb94"},"schema_version":"1.0","source":{"id":"2407.05271","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.05271","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.05271v1","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.05271","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_12","alias_value":"QQDSWYUBADBM","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_16","alias_value":"QQDSWYUBADBMRGWA","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_8","alias_value":"QQDSWYUB","created_at":"2026-07-05T08:41:10Z"}],"graph_snapshots":[{"event_id":"sha256:c0d471efcace4fb33025bc07fff3668a309df6ffe4f23d7f8810bd89f90c9c1e","target":"graph","created_at":"2026-07-05T08:41:10Z","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/2407.05271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing gender-neutral names can reduce the inclusiveness of gender prediction tasks. We introduce an additional gender category, i.e., \"neutral\", to study and address potential gender biases in Large Language Models (LLMs). We evaluate the performance","authors_text":"Apratim Mishra, Haejin Lee, Jana Diesner, Jinseok Kim, Shubhanshu Mishra, Sullam Jeoung, Zhiwen You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-07T05:59:09Z","title":"Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.05271","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":"sha256:907f239da18ab4bbdbbcec98a8f1e7b63b95235c918b9251a02e1c0733e29d3b","target":"record","created_at":"2026-07-05T08:41:10Z","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":"63b30ecb3164287f7b015ce200f6cfde9a721ee8dede74d914ec74300345fed6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-07T05:59:09Z","title_canon_sha256":"bbaed43ff6e0f593a3be5176454828ec4153e8d8b3ad8f629ff812d50334bb94"},"schema_version":"1.0","source":{"id":"2407.05271","kind":"arxiv","version":1}},"canonical_sha256":"84072b628100c2c89ac0467b77eb595301448367e22707c1ca9ca92521c408fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84072b628100c2c89ac0467b77eb595301448367e22707c1ca9ca92521c408fe","first_computed_at":"2026-07-05T08:41:10.599324Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:10.599324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YuUqAAQ0NKaudD6y6xnPwXsueTRzDGfTX5EUa1LKKMxz27ZMaowSC1MQ4Xy/gDv1uwcCaeabtQ0iuFoPSE2JCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:10.599852Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.05271","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:907f239da18ab4bbdbbcec98a8f1e7b63b95235c918b9251a02e1c0733e29d3b","sha256:c0d471efcace4fb33025bc07fff3668a309df6ffe4f23d7f8810bd89f90c9c1e"],"state_sha256":"57c649398c28882568134e24433c394a7bbcb27134e89cb8f2bd192c5469d03f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJQ3q5yMyAo17Af8zasVKfIwH7HcazcBMvFgAIDkN6dCRovlhYblPwAkcki35/7T0SNjiwrs991OVGikxkeEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:29:33.446173Z","bundle_sha256":"f3d030f865a522880aab1ca56cf06270ddc8ef76ed673763d645b86991271818"}}