{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:HJU4Y733MFRO2S632XOEV4D6QR","short_pith_number":"pith:HJU4Y733","canonical_record":{"source":{"id":"1606.01549","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-05T19:30:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2f3a45d895bf72c7af28e031fa34ab05d5f625ce82c3305106efb4c7c7cf011b","abstract_canon_sha256":"c757d4b0eb6edf2e59d35a20c5c74500fcca3fab25835f981236e2c48d5778b8"},"schema_version":"1.0"},"canonical_sha256":"3a69cc7f7b6162ed4bdbd5dc4af07e8447257b70ea6a3c94fa390df71c3b83a4","source":{"kind":"arxiv","id":"1606.01549","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.01549","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"arxiv_version","alias_value":"1606.01549v3","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.01549","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"pith_short_12","alias_value":"HJU4Y733MFRO","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HJU4Y733MFRO2S63","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HJU4Y733","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:HJU4Y733MFRO2S632XOEV4D6QR","target":"record","payload":{"canonical_record":{"source":{"id":"1606.01549","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-05T19:30:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2f3a45d895bf72c7af28e031fa34ab05d5f625ce82c3305106efb4c7c7cf011b","abstract_canon_sha256":"c757d4b0eb6edf2e59d35a20c5c74500fcca3fab25835f981236e2c48d5778b8"},"schema_version":"1.0"},"canonical_sha256":"3a69cc7f7b6162ed4bdbd5dc4af07e8447257b70ea6a3c94fa390df71c3b83a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:58.767788Z","signature_b64":"mbnHy2UIhHNq5VfCCg4+ift2i2D/TTmteoNgZjnNl5qdJKOAX4AGKPk1YcK/5OJHWGMyjTi2U8kYAAjl9wwZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a69cc7f7b6162ed4bdbd5dc4af07e8447257b70ea6a3c94fa390df71c3b83a4","last_reissued_at":"2026-05-18T00:45:58.767312Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:58.767312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.01549","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uF2EN4Os1a7AvqsHkmpb5K4WdvepvHT0Yde1SY0keiNHIfc7pIEVz++r/lKFgl1iMMdb8OgtVKYqVgwHB+GCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T20:25:13.398076Z"},"content_sha256":"6e80309e4697cbbd60b745db9daf20a3733f5f59cfa55d143695c8db67e3bd51","schema_version":"1.0","event_id":"sha256:6e80309e4697cbbd60b745db9daf20a3733f5f59cfa55d143695c8db67e3bd51"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:HJU4Y733MFRO2S632XOEV4D6QR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gated-Attention Readers for Text Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang","submitted_at":"2016-06-05T19:30:39Z","abstract_excerpt":"In this paper we study the problem of answering cloze-style questions over documents. Our model, the Gated-Attention (GA) Reader, integrates a multi-hop architecture with a novel attention mechanism, which is based on multiplicative interactions between the query embedding and the intermediate states of a recurrent neural network document reader. This enables the reader to build query-specific representations of tokens in the document for accurate answer selection. The GA Reader obtains state-of-the-art results on three benchmarks for this task--the CNN \\& Daily Mail news stories and the Who D"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.01549","kind":"arxiv","version":3},"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":"2026-05-18T00:45:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0LfghCqpGEd/JwZ1m5Zi47saENco/2qQAx8T3rLJ4NkFLpkocaD+dKE7DFg36EqPJM9gBFqSpcRmfLOiPeBgAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T20:25:13.398699Z"},"content_sha256":"a14d331d9edd0d7f41799b952db3afc9b714b73d3de977dca9ae7bbe9eac3b91","schema_version":"1.0","event_id":"sha256:a14d331d9edd0d7f41799b952db3afc9b714b73d3de977dca9ae7bbe9eac3b91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJU4Y733MFRO2S632XOEV4D6QR/bundle.json","state_url":"https://pith.science/pith/HJU4Y733MFRO2S632XOEV4D6QR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJU4Y733MFRO2S632XOEV4D6QR/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":"2026-05-18T20:25:13Z","links":{"resolver":"https://pith.science/pith/HJU4Y733MFRO2S632XOEV4D6QR","bundle":"https://pith.science/pith/HJU4Y733MFRO2S632XOEV4D6QR/bundle.json","state":"https://pith.science/pith/HJU4Y733MFRO2S632XOEV4D6QR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJU4Y733MFRO2S632XOEV4D6QR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HJU4Y733MFRO2S632XOEV4D6QR","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":"c757d4b0eb6edf2e59d35a20c5c74500fcca3fab25835f981236e2c48d5778b8","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-05T19:30:39Z","title_canon_sha256":"2f3a45d895bf72c7af28e031fa34ab05d5f625ce82c3305106efb4c7c7cf011b"},"schema_version":"1.0","source":{"id":"1606.01549","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.01549","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"arxiv_version","alias_value":"1606.01549v3","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.01549","created_at":"2026-05-18T00:45:58Z"},{"alias_kind":"pith_short_12","alias_value":"HJU4Y733MFRO","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HJU4Y733MFRO2S63","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HJU4Y733","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:a14d331d9edd0d7f41799b952db3afc9b714b73d3de977dca9ae7bbe9eac3b91","target":"graph","created_at":"2026-05-18T00:45:58Z","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":"In this paper we study the problem of answering cloze-style questions over documents. Our model, the Gated-Attention (GA) Reader, integrates a multi-hop architecture with a novel attention mechanism, which is based on multiplicative interactions between the query embedding and the intermediate states of a recurrent neural network document reader. This enables the reader to build query-specific representations of tokens in the document for accurate answer selection. The GA Reader obtains state-of-the-art results on three benchmarks for this task--the CNN \\& Daily Mail news stories and the Who D","authors_text":"Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-05T19:30:39Z","title":"Gated-Attention Readers for Text Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.01549","kind":"arxiv","version":3},"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":"sha256:6e80309e4697cbbd60b745db9daf20a3733f5f59cfa55d143695c8db67e3bd51","target":"record","created_at":"2026-05-18T00:45:58Z","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":"c757d4b0eb6edf2e59d35a20c5c74500fcca3fab25835f981236e2c48d5778b8","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-05T19:30:39Z","title_canon_sha256":"2f3a45d895bf72c7af28e031fa34ab05d5f625ce82c3305106efb4c7c7cf011b"},"schema_version":"1.0","source":{"id":"1606.01549","kind":"arxiv","version":3}},"canonical_sha256":"3a69cc7f7b6162ed4bdbd5dc4af07e8447257b70ea6a3c94fa390df71c3b83a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a69cc7f7b6162ed4bdbd5dc4af07e8447257b70ea6a3c94fa390df71c3b83a4","first_computed_at":"2026-05-18T00:45:58.767312Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:58.767312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mbnHy2UIhHNq5VfCCg4+ift2i2D/TTmteoNgZjnNl5qdJKOAX4AGKPk1YcK/5OJHWGMyjTi2U8kYAAjl9wwZAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:58.767788Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.01549","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e80309e4697cbbd60b745db9daf20a3733f5f59cfa55d143695c8db67e3bd51","sha256:a14d331d9edd0d7f41799b952db3afc9b714b73d3de977dca9ae7bbe9eac3b91"],"state_sha256":"e9482968bfc5c397e3e223a9200b74e0fe7110ec69c99fc1fb506d687d436654"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"THcKuda6w/wW/G8Uhnnsv2SCPwjUg4a2MfVTTjfc94GXBwqdcs5iN42Hti37Q4+GYNiDjgZcmTuJN+lIPzA6CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-18T20:25:13.400734Z","bundle_sha256":"04a24fee80bef75d836bb7f43f353361dc1ff71cd6caa9a2548b633dbc528582"}}