{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:COGHDEWVNPYLWO6GEW3MT6ZERU","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":"0f885bfab78e9405611adc622a03ebedc80c7532231b61f2cb099a7a04fcbf7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-09T16:12:11Z","title_canon_sha256":"4fdc39a5d1b59d97a5a3b5017275f84e76313bf8799ae644bb82ac003b708fee"},"schema_version":"1.0","source":{"id":"2509.07889","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.07889","created_at":"2026-07-05T12:07:41Z"},{"alias_kind":"arxiv_version","alias_value":"2509.07889v1","created_at":"2026-07-05T12:07:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.07889","created_at":"2026-07-05T12:07:41Z"},{"alias_kind":"pith_short_12","alias_value":"COGHDEWVNPYL","created_at":"2026-07-05T12:07:41Z"},{"alias_kind":"pith_short_16","alias_value":"COGHDEWVNPYLWO6G","created_at":"2026-07-05T12:07:41Z"},{"alias_kind":"pith_short_8","alias_value":"COGHDEWV","created_at":"2026-07-05T12:07:41Z"}],"graph_snapshots":[{"event_id":"sha256:64b300374be1b32ddb7e8e5529b74c454c250d1b55bb4ce70b0ec80aae046a22","target":"graph","created_at":"2026-07-05T12:07:41Z","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/2509.07889/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents our team's solution to Shared Task 7 of NLPCC-2025, which focuses on sentence-level gender bias detection and mitigation in Chinese. The task aims to promote fairness and controllability in natural language generation by automatically detecting, classifying, and mitigating gender bias. To address this challenge, we adopt a fine-tuning approach based on large language models (LLMs), efficiently adapt to the bias detection task via Low-Rank Adaptation (LoRA). In terms of data processing, we construct a more balanced training set to alleviate class imbalance and introduce hete","authors_text":"Chengyan Wu, Yiqiang Cai, Yufei Cheng, Yun Xue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-09T16:12:11Z","title":"From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.07889","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:a734afbe5620a643cedf92ecf0ec8c713b18629d88104bc3188cb4cb9261d401","target":"record","created_at":"2026-07-05T12:07:41Z","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":"0f885bfab78e9405611adc622a03ebedc80c7532231b61f2cb099a7a04fcbf7e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-09T16:12:11Z","title_canon_sha256":"4fdc39a5d1b59d97a5a3b5017275f84e76313bf8799ae644bb82ac003b708fee"},"schema_version":"1.0","source":{"id":"2509.07889","kind":"arxiv","version":1}},"canonical_sha256":"138c7192d56bf0bb3bc625b6c9fb248d13550f2b587b686fa2419bbdf5c7a204","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"138c7192d56bf0bb3bc625b6c9fb248d13550f2b587b686fa2419bbdf5c7a204","first_computed_at":"2026-07-05T12:07:41.878860Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:07:41.878860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8iowllj727A4QkyluDoaXrT10g1C2UsQ1depY8qE3MLvWowi98B32Pdi1mu++gDclKUthJg1y6zvIBcJm1bpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:07:41.879596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.07889","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a734afbe5620a643cedf92ecf0ec8c713b18629d88104bc3188cb4cb9261d401","sha256:64b300374be1b32ddb7e8e5529b74c454c250d1b55bb4ce70b0ec80aae046a22"],"state_sha256":"13e0d11231a762c8892f9bdbe89e04b59f208a812cfbc1eb8567e0d946efad2a"}