{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:K32MSJ4SUUNQNFTGOZ6SMR3KND","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":"c21daa34a967b308b3262b69afda78e02926069c57a0e01a0929e966168b8253","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-03-11T08:22:05Z","title_canon_sha256":"6b65bea5ab16fef7a0db4f5e9e79022ea6ddefac3bcb4546c3c03dc0b7643566"},"schema_version":"1.0","source":{"id":"2103.06523","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06523","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06523v2","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06523","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"K32MSJ4SUUNQ","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_16","alias_value":"K32MSJ4SUUNQNFTG","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_8","alias_value":"K32MSJ4S","created_at":"2026-07-05T03:03:39Z"}],"graph_snapshots":[{"event_id":"sha256:dcbbb12c833b26f5d6760963a7e0fc8000897908baef37b9570c7851bb5a7d5f","target":"graph","created_at":"2026-07-05T03:03:39Z","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/2103.06523/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"BERT-based Neural Ranking Models (NRMs) can be classified according to how the query and document are encoded through BERT's self-attention layers - bi-encoder versus cross-encoder. Bi-encoder models are highly efficient because all the documents can be pre-processed before the query time, but their performance is inferior compared to cross-encoder models. Both models utilize a ranker that receives BERT representations as the input and generates a relevance score as the output. In this work, we propose a method where multi-teacher distillation is applied to a cross-encoder NRM and a bi-encoder","authors_text":"Euna Jung, Jaekeol Choi, Jangwon Suh, Wonjong Rhee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-03-11T08:22:05Z","title":"Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06523","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":"sha256:663ce799699fbcd114a30f3414b41a7dfaea87efa4d85a31c2378d3fa4ddca1e","target":"record","created_at":"2026-07-05T03:03:39Z","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":"c21daa34a967b308b3262b69afda78e02926069c57a0e01a0929e966168b8253","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-03-11T08:22:05Z","title_canon_sha256":"6b65bea5ab16fef7a0db4f5e9e79022ea6ddefac3bcb4546c3c03dc0b7643566"},"schema_version":"1.0","source":{"id":"2103.06523","kind":"arxiv","version":2}},"canonical_sha256":"56f4c92792a51b069666767d26476a68c1fa345f991f9e3a62a40acaa204c9c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56f4c92792a51b069666767d26476a68c1fa345f991f9e3a62a40acaa204c9c7","first_computed_at":"2026-07-05T03:03:39.663625Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:39.663625Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LizX+LyvXt3VZoFNFCPf6+z2bRKw7zsZWmYADy49liZqw7u7xMie9Z4wl911r2Twk7MQP/4mqgjjSTnBkFKdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:39.664038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.06523","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:663ce799699fbcd114a30f3414b41a7dfaea87efa4d85a31c2378d3fa4ddca1e","sha256:dcbbb12c833b26f5d6760963a7e0fc8000897908baef37b9570c7851bb5a7d5f"],"state_sha256":"35e28e2bfd517b94bb8caeca2c3f610b566e26443ab8984d02951e518c676669"}