{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OYVILAXMBG62UIQ6UTCWQUMBK2","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":"25ffc14af1f00ec3345f54fe712b5ddfeb3c9394cd2e38fa708985f1ac65c952","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-05-24T06:12:06Z","title_canon_sha256":"39707f8a44814c178ee765c3bda97d81b768dbb05b9de56e8072da8128190a44"},"schema_version":"1.0","source":{"id":"2105.11108","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11108","created_at":"2026-07-05T02:52:16Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11108v3","created_at":"2026-07-05T02:52:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11108","created_at":"2026-07-05T02:52:16Z"},{"alias_kind":"pith_short_12","alias_value":"OYVILAXMBG62","created_at":"2026-07-05T02:52:16Z"},{"alias_kind":"pith_short_16","alias_value":"OYVILAXMBG62UIQ6","created_at":"2026-07-05T02:52:16Z"},{"alias_kind":"pith_short_8","alias_value":"OYVILAXM","created_at":"2026-07-05T02:52:16Z"}],"graph_snapshots":[{"event_id":"sha256:87b4cfd28af1cf2725324226351d6a980550cc6402749e77c2f287440a9a5866","target":"graph","created_at":"2026-07-05T02:52:16Z","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/2105.11108/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the heart of a search engine, the ranking system plays a crucial role in satisfying users' information demands. More recently, neural rankers fine-tuned from pre-trained language models (PLMs) establish state-of-the-art ranking effectiveness. However, it is nontrivial to directly apply these PLM-based rankers to the large-scale web search system due to the following challenging issues:(1) the prohibitively expensive computations of massive neural PLMs, especially for long texts in the web-document, prohibit their deployments in an online ranking system that demands extremely low latency;(2)","authors_text":"Daiting Shi, Dawei Yin, Dehong Ma, Hengyi Cai, Lixin Zou, Shengqiang Zhang, Shuaiqiang Wang, Suqi Cheng, Weiyue Su, Zhicong Cheng, Zhifan Zhu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-05-24T06:12:06Z","title":"Pre-trained Language Model based Ranking in Baidu Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11108","kind":"arxiv","version":3},"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:cd0159f864edfdc400371a2e602d3493b2c547c15d7fa8314b3e6d458e3bc140","target":"record","created_at":"2026-07-05T02:52:16Z","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":"25ffc14af1f00ec3345f54fe712b5ddfeb3c9394cd2e38fa708985f1ac65c952","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-05-24T06:12:06Z","title_canon_sha256":"39707f8a44814c178ee765c3bda97d81b768dbb05b9de56e8072da8128190a44"},"schema_version":"1.0","source":{"id":"2105.11108","kind":"arxiv","version":3}},"canonical_sha256":"762a8582ec09bdaa221ea4c56851815680a227a5b25f3f724422dcae57fd69a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"762a8582ec09bdaa221ea4c56851815680a227a5b25f3f724422dcae57fd69a7","first_computed_at":"2026-07-05T02:52:16.452231Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:16.452231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t2UiyLy9PKrxl5mwbosRsurUiTJUPIpYdObWWtpxWg8jrtTSDZjTpcqdC1GqWmoA8tS/AS1xuIJgCCRjKSGyBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:16.452577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.11108","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd0159f864edfdc400371a2e602d3493b2c547c15d7fa8314b3e6d458e3bc140","sha256:87b4cfd28af1cf2725324226351d6a980550cc6402749e77c2f287440a9a5866"],"state_sha256":"23e4d19e2f3f745de7a826db123e471233b639f696b9de2f6ca83e2ed2dc5264"}