{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OM45UMOYOIONY75WGHMI7HMWMN","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":"9bc2c3339a86533677a713e6bd6af1c84e12eac830a5776ee88d3ebe85043c9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-11-30T11:11:21Z","title_canon_sha256":"5a8e1444e50be6bfa66bed9da221262102083ba20ae141c5b087d4ddc87bf266"},"schema_version":"1.0","source":{"id":"2512.00837","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.00837","created_at":"2026-05-29T01:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2512.00837v2","created_at":"2026-05-29T01:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.00837","created_at":"2026-05-29T01:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"OM45UMOYOION","created_at":"2026-05-29T01:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"OM45UMOYOIONY75W","created_at":"2026-05-29T01:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"OM45UMOY","created_at":"2026-05-29T01:04:59Z"}],"graph_snapshots":[{"event_id":"sha256:64dec4cfd25b5bf360780a882a43c5a2e25e323d382f977ab5d46ef0ef40dc25","target":"graph","created_at":"2026-05-29T01:04:59Z","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/2512.00837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Watermarking acts as a critical safeguard in text generated by Large Language Models (LLMs). By embedding identifiable signals into model outputs, watermarking enables reliable attribution and enhances the security of machine-generated content. Existing approaches typically embed signals by manipulating token generation probabilities. Despite their effectiveness, these methods inherently face a trade-off between detectability and text quality: the signal strength and randomness required for robust watermarking tend to degrade the performance of downstream tasks.\n  In this paper, we design a no","authors_text":"Bingjie Lu, Jiahao Shao, Joanna Siebert, Qingcai Chen, Shuoran Jiang, Wentao Zhu, Xiangping Wu, Yukang Lin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-11-30T11:11:21Z","title":"WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.00837","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":"sha256:4f5d074256811669431d464fe7a3da02411898574b26c8820fd89e571b1b1992","target":"record","created_at":"2026-05-29T01:04:59Z","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":"9bc2c3339a86533677a713e6bd6af1c84e12eac830a5776ee88d3ebe85043c9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-11-30T11:11:21Z","title_canon_sha256":"5a8e1444e50be6bfa66bed9da221262102083ba20ae141c5b087d4ddc87bf266"},"schema_version":"1.0","source":{"id":"2512.00837","kind":"arxiv","version":2}},"canonical_sha256":"7339da31d8721cdc7fb631d88f9d96636bc6a458cb3d3beb57aa413cb0485c49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7339da31d8721cdc7fb631d88f9d96636bc6a458cb3d3beb57aa413cb0485c49","first_computed_at":"2026-05-29T01:04:59.139785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:04:59.139785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kj13KBLhvb+QllU657h+Z7jNz6l3LAGblqROQJtba5T4DtJOKdlmFDx1kJxJpiaPP5a7GTfhXcRIifnAx1eFCA==","signature_status":"signed_v1","signed_at":"2026-05-29T01:04:59.140666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.00837","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f5d074256811669431d464fe7a3da02411898574b26c8820fd89e571b1b1992","sha256:64dec4cfd25b5bf360780a882a43c5a2e25e323d382f977ab5d46ef0ef40dc25"],"state_sha256":"f9db5447e894f08181666a1f817f464c1f048cc701c31401566ecd33b9e9a7ae"}