{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:SINYN7ARNF6Q3I73T5ZVFFULLP","short_pith_number":"pith:SINYN7AR","canonical_record":{"source":{"id":"1902.00164","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-01T03:43:51Z","cross_cats_sorted":[],"title_canon_sha256":"52f33e7a3acb9bb339b4618877ca095c9d20483d22ea8fb26fec40004958016d","abstract_canon_sha256":"a300b8eea1deaa1abb7a49accbbf2e02b7074a05391add569bc034dba324e389"},"schema_version":"1.0"},"canonical_sha256":"921b86fc11697d0da3fb9f7352968b5bfd4f92c97dcffc2ee4fa512db7339b78","source":{"kind":"arxiv","id":"1902.00164","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00164","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00164v1","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00164","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"SINYN7ARNF6Q","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SINYN7ARNF6Q3I73","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SINYN7AR","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:SINYN7ARNF6Q3I73T5ZVFFULLP","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00164","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-01T03:43:51Z","cross_cats_sorted":[],"title_canon_sha256":"52f33e7a3acb9bb339b4618877ca095c9d20483d22ea8fb26fec40004958016d","abstract_canon_sha256":"a300b8eea1deaa1abb7a49accbbf2e02b7074a05391add569bc034dba324e389"},"schema_version":"1.0"},"canonical_sha256":"921b86fc11697d0da3fb9f7352968b5bfd4f92c97dcffc2ee4fa512db7339b78","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:58.128679Z","signature_b64":"8L//nssPREuUkXfa9pFsCy7CijFE6xPaCYKTBRmIbDiMTESEDlE7dwunQxunu6aazo3xVveLdJq0uBsip9ULCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"921b86fc11697d0da3fb9f7352968b5bfd4f92c97dcffc2ee4fa512db7339b78","last_reissued_at":"2026-05-17T23:54:58.128259Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:58.128259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00164","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":"2026-05-17T23:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UbaPEw/BGQfpFDB3wu1NXUieqSoUBHFGSU6REhwGSvBjChaz+LWCe1IHs6fRGiKGsaSg/8FPQHgCIYbNy6SPDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:48:46.563485Z"},"content_sha256":"8de8b6bcee0a622bd9e04a896395fea296b1c3c217daa4e46b1371cfa6f31ec6","schema_version":"1.0","event_id":"sha256:8de8b6bcee0a622bd9e04a896395fea296b1c3c217daa4e46b1371cfa6f31ec6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:SINYN7ARNF6Q3I73T5ZVFFULLP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Claire Cardie, Dian Yu, Dong Yu, Jianshu Chen, Kai Sun, Yejin Choi","submitted_at":"2019-02-01T03:43:51Z","abstract_excerpt":"We present DREAM, the first dialogue-based multiple-choice reading comprehension dataset. Collected from English-as-a-foreign-language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our dataset contains 10,197 multiple-choice questions for 6,444 dialogues. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding. DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of ques"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00164","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":""},"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":"2026-05-17T23:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yrrrrdZf7jbkMhaiihXG1pfDFXi1VRXrtmG3roWHLAQ2DUubjB8mVmv7HqMkN7AD0lMUZVo+QxBV0MwGV/IcDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:48:46.563834Z"},"content_sha256":"10fddc6b1cd92071227d06193f96b56fde7358641cbdbe3f80badb36a6247f27","schema_version":"1.0","event_id":"sha256:10fddc6b1cd92071227d06193f96b56fde7358641cbdbe3f80badb36a6247f27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/bundle.json","state_url":"https://pith.science/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/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":"2026-05-30T08:48:46Z","links":{"resolver":"https://pith.science/pith/SINYN7ARNF6Q3I73T5ZVFFULLP","bundle":"https://pith.science/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/bundle.json","state":"https://pith.science/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SINYN7ARNF6Q3I73T5ZVFFULLP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:SINYN7ARNF6Q3I73T5ZVFFULLP","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":"a300b8eea1deaa1abb7a49accbbf2e02b7074a05391add569bc034dba324e389","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-01T03:43:51Z","title_canon_sha256":"52f33e7a3acb9bb339b4618877ca095c9d20483d22ea8fb26fec40004958016d"},"schema_version":"1.0","source":{"id":"1902.00164","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00164","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00164v1","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00164","created_at":"2026-05-17T23:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"SINYN7ARNF6Q","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SINYN7ARNF6Q3I73","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SINYN7AR","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:10fddc6b1cd92071227d06193f96b56fde7358641cbdbe3f80badb36a6247f27","target":"graph","created_at":"2026-05-17T23:54:58Z","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"},"paper":{"abstract_excerpt":"We present DREAM, the first dialogue-based multiple-choice reading comprehension dataset. Collected from English-as-a-foreign-language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our dataset contains 10,197 multiple-choice questions for 6,444 dialogues. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding. DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of ques","authors_text":"Claire Cardie, Dian Yu, Dong Yu, Jianshu Chen, Kai Sun, Yejin Choi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-01T03:43:51Z","title":"DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00164","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":"sha256:8de8b6bcee0a622bd9e04a896395fea296b1c3c217daa4e46b1371cfa6f31ec6","target":"record","created_at":"2026-05-17T23:54:58Z","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":"a300b8eea1deaa1abb7a49accbbf2e02b7074a05391add569bc034dba324e389","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-01T03:43:51Z","title_canon_sha256":"52f33e7a3acb9bb339b4618877ca095c9d20483d22ea8fb26fec40004958016d"},"schema_version":"1.0","source":{"id":"1902.00164","kind":"arxiv","version":1}},"canonical_sha256":"921b86fc11697d0da3fb9f7352968b5bfd4f92c97dcffc2ee4fa512db7339b78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"921b86fc11697d0da3fb9f7352968b5bfd4f92c97dcffc2ee4fa512db7339b78","first_computed_at":"2026-05-17T23:54:58.128259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:58.128259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8L//nssPREuUkXfa9pFsCy7CijFE6xPaCYKTBRmIbDiMTESEDlE7dwunQxunu6aazo3xVveLdJq0uBsip9ULCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:58.128679Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00164","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8de8b6bcee0a622bd9e04a896395fea296b1c3c217daa4e46b1371cfa6f31ec6","sha256:10fddc6b1cd92071227d06193f96b56fde7358641cbdbe3f80badb36a6247f27"],"state_sha256":"c4b614e5be2c6e20415f8b0cb2de8e6a390922cdfdcc4e4d886b7f11f66b3d40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7tDDoXYq7uAEFrxGWzrU9do5tINa9KM+3JTyV2io6DDvcYEwwyM8mu30Wa0/16DwvpwLcZdhVV8zAoywHem0Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T08:48:46.565908Z","bundle_sha256":"63fe2f33d5afac05c9321f9fd2962614cd98adac23298a0366c4272937a31165"}}