{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:MEDGTAJIHV7APE3PC4PJSEVC5P","short_pith_number":"pith:MEDGTAJI","canonical_record":{"source":{"id":"2205.09153","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-18T18:05:13Z","cross_cats_sorted":[],"title_canon_sha256":"5cb3d6fc2766e052c73ec18cf20c38006df008b44b99eb20975fcc4344f4e46d","abstract_canon_sha256":"bfc38d506535fc4b3443c99ed05882c4694fad8bacba9827d73d3af0da5e8058"},"schema_version":"1.0"},"canonical_sha256":"61066981283d7e07936f171e9912a2ebef2461c13c451f48a55ff5605989feb7","source":{"kind":"arxiv","id":"2205.09153","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.09153","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2205.09153v1","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.09153","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"MEDGTAJIHV7A","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"MEDGTAJIHV7APE3P","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"MEDGTAJI","created_at":"2026-07-05T04:24:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:MEDGTAJIHV7APE3PC4PJSEVC5P","target":"record","payload":{"canonical_record":{"source":{"id":"2205.09153","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-18T18:05:13Z","cross_cats_sorted":[],"title_canon_sha256":"5cb3d6fc2766e052c73ec18cf20c38006df008b44b99eb20975fcc4344f4e46d","abstract_canon_sha256":"bfc38d506535fc4b3443c99ed05882c4694fad8bacba9827d73d3af0da5e8058"},"schema_version":"1.0"},"canonical_sha256":"61066981283d7e07936f171e9912a2ebef2461c13c451f48a55ff5605989feb7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:24:41.514660Z","signature_b64":"pQPvyQxBss5f67keR9z7Zqea3itkhARGDYX+FxKC+aphDMuxVduE8fqwGhmcUcXND9hRhXVIZwS3wBFMQrmeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61066981283d7e07936f171e9912a2ebef2461c13c451f48a55ff5605989feb7","last_reissued_at":"2026-07-05T04:24:41.514189Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:24:41.514189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.09153","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":"2026-07-05T04:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PYYOXH+LT46svEnaA8ETVOyBBoJAL/kOwzmaFWryjoFG8UTVdjQxB0HLMym/zqHH8V1upiyB5uUgsPgRyOnqBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:59:20.143165Z"},"content_sha256":"b012388781fc64a0ed2ff06359ada9bb36b8318477b9c1d4f78348ef745f563c","schema_version":"1.0","event_id":"sha256:b012388781fc64a0ed2ff06359ada9bb36b8318477b9c1d4f78348ef745f563c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:MEDGTAJIHV7APE3PC4PJSEVC5P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dawei Yin, HaiFeng Wang, Hao Tian, Hua Wu, Jiaxiang Liu, Shikun Feng Yu Sun, Shuaiqiang Wang, Yiding Liu, Yunsheng Shi, Yuxiang Lu, Zhengjie Huang","submitted_at":"2022-05-18T18:05:13Z","abstract_excerpt":"Neural retrievers based on pre-trained language models (PLMs), such as dual-encoders, have achieved promising performance on the task of open-domain question answering (QA). Their effectiveness can further reach new state-of-the-arts by incorporating cross-architecture knowledge distillation. However, most of the existing studies just directly apply conventional distillation methods. They fail to consider the particular situation where the teacher and student have different structures. In this paper, we propose a novel distillation method that significantly advances cross-architecture distilla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.09153","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/2205.09153/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":"2026-07-05T04:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9psX7I5yNnroH7vxzXZ8stl3qu9RIBv3dmedfNnHir8v2T73LNCQXPhGPWIUpGyTWIKjbkBaq3su73ORXasqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:59:20.143830Z"},"content_sha256":"010f4b1e8ad03024ee86b379e568f3601905b35220e5afc5a9573822a0d3054f","schema_version":"1.0","event_id":"sha256:010f4b1e8ad03024ee86b379e568f3601905b35220e5afc5a9573822a0d3054f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/bundle.json","state_url":"https://pith.science/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/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":"2026-07-05T14:59:20Z","links":{"resolver":"https://pith.science/pith/MEDGTAJIHV7APE3PC4PJSEVC5P","bundle":"https://pith.science/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/bundle.json","state":"https://pith.science/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MEDGTAJIHV7APE3PC4PJSEVC5P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MEDGTAJIHV7APE3PC4PJSEVC5P","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":"bfc38d506535fc4b3443c99ed05882c4694fad8bacba9827d73d3af0da5e8058","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-18T18:05:13Z","title_canon_sha256":"5cb3d6fc2766e052c73ec18cf20c38006df008b44b99eb20975fcc4344f4e46d"},"schema_version":"1.0","source":{"id":"2205.09153","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.09153","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2205.09153v1","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.09153","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"MEDGTAJIHV7A","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"MEDGTAJIHV7APE3P","created_at":"2026-07-05T04:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"MEDGTAJI","created_at":"2026-07-05T04:24:41Z"}],"graph_snapshots":[{"event_id":"sha256:010f4b1e8ad03024ee86b379e568f3601905b35220e5afc5a9573822a0d3054f","target":"graph","created_at":"2026-07-05T04:24:41Z","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/2205.09153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural retrievers based on pre-trained language models (PLMs), such as dual-encoders, have achieved promising performance on the task of open-domain question answering (QA). Their effectiveness can further reach new state-of-the-arts by incorporating cross-architecture knowledge distillation. However, most of the existing studies just directly apply conventional distillation methods. They fail to consider the particular situation where the teacher and student have different structures. In this paper, we propose a novel distillation method that significantly advances cross-architecture distilla","authors_text":"Dawei Yin, HaiFeng Wang, Hao Tian, Hua Wu, Jiaxiang Liu, Shikun Feng Yu Sun, Shuaiqiang Wang, Yiding Liu, Yunsheng Shi, Yuxiang Lu, Zhengjie Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-18T18:05:13Z","title":"ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.09153","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:b012388781fc64a0ed2ff06359ada9bb36b8318477b9c1d4f78348ef745f563c","target":"record","created_at":"2026-07-05T04:24:41Z","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":"bfc38d506535fc4b3443c99ed05882c4694fad8bacba9827d73d3af0da5e8058","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-18T18:05:13Z","title_canon_sha256":"5cb3d6fc2766e052c73ec18cf20c38006df008b44b99eb20975fcc4344f4e46d"},"schema_version":"1.0","source":{"id":"2205.09153","kind":"arxiv","version":1}},"canonical_sha256":"61066981283d7e07936f171e9912a2ebef2461c13c451f48a55ff5605989feb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61066981283d7e07936f171e9912a2ebef2461c13c451f48a55ff5605989feb7","first_computed_at":"2026-07-05T04:24:41.514189Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:24:41.514189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pQPvyQxBss5f67keR9z7Zqea3itkhARGDYX+FxKC+aphDMuxVduE8fqwGhmcUcXND9hRhXVIZwS3wBFMQrmeBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:24:41.514660Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.09153","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b012388781fc64a0ed2ff06359ada9bb36b8318477b9c1d4f78348ef745f563c","sha256:010f4b1e8ad03024ee86b379e568f3601905b35220e5afc5a9573822a0d3054f"],"state_sha256":"d4d5cb3959abd5e62edf1415e1bbd90f551542e54a73d49195f5d759ad70a31f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RUrVpfwU3Qjr7C84MH/UBDKew3AlyX6GMdH7owsRQTN7Mfu/wMiPXxheOEhmwydSnn2Cvx2YJYLNVump6NJZAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:59:20.147624Z","bundle_sha256":"41c7ceb80e44ffcbd427c0ac98d6b37e0319b744b006ebf58dd20d2ca5232312"}}