{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HE43W5MAZOPNOCAIPXVVPYJXOQ","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":"ddd5d5a85ad178d1323a89930384cd6f01410b78d8a2dc6f67f2b213c83375ab","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-27T13:12:17Z","title_canon_sha256":"5d66e32e71d340d4d741575006a38e1abeb0d795f6e58416e0f1785ccfb214ef"},"schema_version":"1.0","source":{"id":"2010.14271","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14271","created_at":"2026-07-05T01:46:33Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14271v1","created_at":"2026-07-05T01:46:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14271","created_at":"2026-07-05T01:46:33Z"},{"alias_kind":"pith_short_12","alias_value":"HE43W5MAZOPN","created_at":"2026-07-05T01:46:33Z"},{"alias_kind":"pith_short_16","alias_value":"HE43W5MAZOPNOCAI","created_at":"2026-07-05T01:46:33Z"},{"alias_kind":"pith_short_8","alias_value":"HE43W5MA","created_at":"2026-07-05T01:46:33Z"}],"graph_snapshots":[{"event_id":"sha256:0312f536235e60625e2985573fefcf2ff1a1123e1eef58d0ab5bd33090e688f6","target":"graph","created_at":"2026-07-05T01:46:33Z","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/2010.14271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-lingual Machine Reading Comprehension (CLMRC) remains a challenging problem due to the lack of large-scale annotated datasets in low-source languages, such as Arabic, Hindi, and Vietnamese. Many previous approaches use translation data by translating from a rich-source language, such as English, to low-source languages as auxiliary supervision. However, how to effectively leverage translation data and reduce the impact of noise introduced by translation remains onerous. In this paper, we tackle this challenge and enhance the cross-lingual transferring performance by a novel augmentation ","authors_text":"Daxin Jiang, Jian Pei, Junhao Liu, Linjun Shou, Ming Gong, Min Yang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-27T13:12:17Z","title":"Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14271","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":"sha256:4cdb15b4b30ba90de73ea5c84dfbce14cf53477bbfc350247de75f868d727d52","target":"record","created_at":"2026-07-05T01:46:33Z","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":"ddd5d5a85ad178d1323a89930384cd6f01410b78d8a2dc6f67f2b213c83375ab","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-27T13:12:17Z","title_canon_sha256":"5d66e32e71d340d4d741575006a38e1abeb0d795f6e58416e0f1785ccfb214ef"},"schema_version":"1.0","source":{"id":"2010.14271","kind":"arxiv","version":1}},"canonical_sha256":"3939bb7580cb9ed708087deb57e137740e4a6a7c71a3980431ff016f93d9dda6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3939bb7580cb9ed708087deb57e137740e4a6a7c71a3980431ff016f93d9dda6","first_computed_at":"2026-07-05T01:46:33.342465Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:46:33.342465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"27vRDWmcuxPNDzE/Y3f4Y3EWEnbLucOxe6rUPjNSoxI+c93JR4KscGz/SDVbBoO6aZh5/DQbg4N0C5JTE3TiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:46:33.342864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.14271","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cdb15b4b30ba90de73ea5c84dfbce14cf53477bbfc350247de75f868d727d52","sha256:0312f536235e60625e2985573fefcf2ff1a1123e1eef58d0ab5bd33090e688f6"],"state_sha256":"ff73065d7e524cccc396704b2e55ecda40c3e48e5a8dc0c569f67d6a0752ee7f"}