{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BXWBAFJKQLTVF6RQKHBRVOTWXM","short_pith_number":"pith:BXWBAFJK","canonical_record":{"source":{"id":"2404.19316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-30T07:34:42Z","cross_cats_sorted":[],"title_canon_sha256":"6edf9b7904a0ea9d8dcbc6f89be9cd142369c00d77bb06eab3185fe773aa1acd","abstract_canon_sha256":"8391ea1eb0d6d60c621e1a772152ed89d1047813c483f44520f8b00c1284c82d"},"schema_version":"1.0"},"canonical_sha256":"0dec10152a82e752fa3051c31aba76bb13a7d6846c7af17a77c1976d43e79e47","source":{"kind":"arxiv","id":"2404.19316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19316","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19316v1","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19316","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"BXWBAFJKQLTV","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"BXWBAFJKQLTVF6RQ","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"BXWBAFJK","created_at":"2026-07-05T08:13:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BXWBAFJKQLTVF6RQKHBRVOTWXM","target":"record","payload":{"canonical_record":{"source":{"id":"2404.19316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-30T07:34:42Z","cross_cats_sorted":[],"title_canon_sha256":"6edf9b7904a0ea9d8dcbc6f89be9cd142369c00d77bb06eab3185fe773aa1acd","abstract_canon_sha256":"8391ea1eb0d6d60c621e1a772152ed89d1047813c483f44520f8b00c1284c82d"},"schema_version":"1.0"},"canonical_sha256":"0dec10152a82e752fa3051c31aba76bb13a7d6846c7af17a77c1976d43e79e47","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:41.417184Z","signature_b64":"zRGu62XAsva9ZqW82xKEhvBcg10DpvFYcrLRge5DAy6HasvRmst7Xz90cFenTWWC5xIMaNRDruYToTPE1F+1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0dec10152a82e752fa3051c31aba76bb13a7d6846c7af17a77c1976d43e79e47","last_reissued_at":"2026-07-05T08:13:41.416712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:41.416712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.19316","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":"2026-07-05T08:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AEeKZWSRIcpshZDNPXhnCq04nQrnwx/BZxXC7pbWqPJ3wzUNhRFIT0Q804sfYHIF9kyeil1FC0lIu2LY7FGgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T07:37:47.861070Z"},"content_sha256":"13d1e76349d1260b5a966dba69f615bf821190b19bf5e09ba1fe2e33b6f32ed5","schema_version":"1.0","event_id":"sha256:13d1e76349d1260b5a966dba69f615bf821190b19bf5e09ba1fe2e33b6f32ed5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BXWBAFJKQLTVF6RQKHBRVOTWXM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jianzong Wang, Jing Xiao, Ning Cheng, Sheng Ouyang, Xulong Zhang, Yong Zhang, Zhitao Li, Ziqi Liang","submitted_at":"2024-04-30T07:34:42Z","abstract_excerpt":"Extractive Question Answering (EQA) in Machine Reading Comprehension (MRC) often faces the challenge of dealing with semantically identical but format-variant inputs. Our work introduces a novel approach, called the ``Query Latent Semantic Calibrator (QLSC)'', designed as an auxiliary module for existing MRC models. We propose a unique scaling strategy to capture latent semantic center features of queries. These features are then seamlessly integrated into traditional query and passage embeddings using an attention mechanism. By deepening the comprehension of the semantic queries-passage relat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19316","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/2404.19316/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":"2026-07-05T08:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9wzPgIGDM2snRKzFiIr6a3arT+pi3s8E11Vn81MXxPpPciYv+VDglz+2uSKbVVF2/KxlZi3uB4IIXI4GPbi3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T07:37:47.861461Z"},"content_sha256":"93a81cc661544998bd24787672436056237d7352a5e3d8d57b1d6d5e70187dba","schema_version":"1.0","event_id":"sha256:93a81cc661544998bd24787672436056237d7352a5e3d8d57b1d6d5e70187dba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/bundle.json","state_url":"https://pith.science/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/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":"2026-07-18T07:37:47Z","links":{"resolver":"https://pith.science/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM","bundle":"https://pith.science/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/bundle.json","state":"https://pith.science/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BXWBAFJKQLTVF6RQKHBRVOTWXM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BXWBAFJKQLTVF6RQKHBRVOTWXM","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":"8391ea1eb0d6d60c621e1a772152ed89d1047813c483f44520f8b00c1284c82d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-30T07:34:42Z","title_canon_sha256":"6edf9b7904a0ea9d8dcbc6f89be9cd142369c00d77bb06eab3185fe773aa1acd"},"schema_version":"1.0","source":{"id":"2404.19316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19316","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19316v1","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19316","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"BXWBAFJKQLTV","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"BXWBAFJKQLTVF6RQ","created_at":"2026-07-05T08:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"BXWBAFJK","created_at":"2026-07-05T08:13:41Z"}],"graph_snapshots":[{"event_id":"sha256:93a81cc661544998bd24787672436056237d7352a5e3d8d57b1d6d5e70187dba","target":"graph","created_at":"2026-07-05T08:13:41Z","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/2404.19316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extractive Question Answering (EQA) in Machine Reading Comprehension (MRC) often faces the challenge of dealing with semantically identical but format-variant inputs. Our work introduces a novel approach, called the ``Query Latent Semantic Calibrator (QLSC)'', designed as an auxiliary module for existing MRC models. We propose a unique scaling strategy to capture latent semantic center features of queries. These features are then seamlessly integrated into traditional query and passage embeddings using an attention mechanism. By deepening the comprehension of the semantic queries-passage relat","authors_text":"Jianzong Wang, Jing Xiao, Ning Cheng, Sheng Ouyang, Xulong Zhang, Yong Zhang, Zhitao Li, Ziqi Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-30T07:34:42Z","title":"QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19316","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":"sha256:13d1e76349d1260b5a966dba69f615bf821190b19bf5e09ba1fe2e33b6f32ed5","target":"record","created_at":"2026-07-05T08:13:41Z","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":"8391ea1eb0d6d60c621e1a772152ed89d1047813c483f44520f8b00c1284c82d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-30T07:34:42Z","title_canon_sha256":"6edf9b7904a0ea9d8dcbc6f89be9cd142369c00d77bb06eab3185fe773aa1acd"},"schema_version":"1.0","source":{"id":"2404.19316","kind":"arxiv","version":1}},"canonical_sha256":"0dec10152a82e752fa3051c31aba76bb13a7d6846c7af17a77c1976d43e79e47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0dec10152a82e752fa3051c31aba76bb13a7d6846c7af17a77c1976d43e79e47","first_computed_at":"2026-07-05T08:13:41.416712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:41.416712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zRGu62XAsva9ZqW82xKEhvBcg10DpvFYcrLRge5DAy6HasvRmst7Xz90cFenTWWC5xIMaNRDruYToTPE1F+1AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:41.417184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.19316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13d1e76349d1260b5a966dba69f615bf821190b19bf5e09ba1fe2e33b6f32ed5","sha256:93a81cc661544998bd24787672436056237d7352a5e3d8d57b1d6d5e70187dba"],"state_sha256":"188a05fe34b8bd1a098ac8d8a5cb0a0e1aaa1a01b6f4a20c52db1f78a7b60786"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5d8qiKb2BGV46/paTGMKk1fK43IwrYec9h0DCX1iwumK3zOe+UhpuW8NwbmZnPtEamKYlM9vxhM0smpL/1iLCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T07:37:47.863541Z","bundle_sha256":"b1331043630dfdac92f8bc2a4dc21e8b996ebe6b0d2a2a95d0d3d91817088cc6"}}