{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KJW3COF3ACZI7CXIRCOVXAIMXR","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":"498c76d2678999a09cfbc769eac59c3e91712efcfb4b9630e91ff77d519b49b4","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-14T14:00:56Z","title_canon_sha256":"fc371603406218e049f7ba555d252aacc7ed6c6029894bd5f4b76d61863811ea"},"schema_version":"1.0","source":{"id":"1903.06164","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.06164","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1903.06164v3","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.06164","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"KJW3COF3ACZI","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KJW3COF3ACZI7CXI","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KJW3COF3","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:2f917a559ff99894f734024a9bd65c5eb819fab3070e307f9fa174f18b89ffe7","target":"graph","created_at":"2026-05-17T23:43:49Z","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 consider a novel question answering (QA) task where the machine needs to read from large streaming data (long documents or videos) without knowing when the questions will be given, which is difficult to solve with existing QA methods due to their lack of scalability. To tackle this problem, we propose a novel end-to-end deep network model for reading comprehension, which we refer to as Episodic Memory Reader (EMR) that sequentially reads the input contexts into an external memory, while replacing memories that are less important for answering \\emph{unseen} questions. Specifically, we train ","authors_text":"Hyunwoo Jung, Minki Kang, Moonsu Han, Sung Ju Hwang","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-14T14:00:56Z","title":"Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.06164","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":"sha256:78431feccd3b873105ddfd3da8e292f93f0192555f2982abba13d8f72c4ee4b0","target":"record","created_at":"2026-05-17T23:43:49Z","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":"498c76d2678999a09cfbc769eac59c3e91712efcfb4b9630e91ff77d519b49b4","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-14T14:00:56Z","title_canon_sha256":"fc371603406218e049f7ba555d252aacc7ed6c6029894bd5f4b76d61863811ea"},"schema_version":"1.0","source":{"id":"1903.06164","kind":"arxiv","version":3}},"canonical_sha256":"526db138bb00b28f8ae8889d5b810cbc67a5680e081bb8903d3ac9e44852c112","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"526db138bb00b28f8ae8889d5b810cbc67a5680e081bb8903d3ac9e44852c112","first_computed_at":"2026-05-17T23:43:49.748557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:49.748557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3xkQdr79cMA4hS4e3XJ/UmqndpOWct8mWj/yVV7Bv7dhoed52JlwW/0IQk3r3kEfnio1e2E5t8n1WCbap07sDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:49.749310Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.06164","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78431feccd3b873105ddfd3da8e292f93f0192555f2982abba13d8f72c4ee4b0","sha256:2f917a559ff99894f734024a9bd65c5eb819fab3070e307f9fa174f18b89ffe7"],"state_sha256":"1ae0358162fa32df6d8134b275d3792973f178acb1125e648870747c75bcdd77"}