{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:HPEG7HGRAIDJVGPLEPFWBXKZJI","short_pith_number":"pith:HPEG7HGR","canonical_record":{"source":{"id":"1607.04315","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-14T20:58:26Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"453dc23f7690dbe7cb952ccb98b5ef6d7c0fed11235375f3aef9386bed78abf3","abstract_canon_sha256":"731b29e6e924c04c783bb0b86c0b6dd5c3a0c63c15e559a82f7deff2349936e2"},"schema_version":"1.0"},"canonical_sha256":"3bc86f9cd102069a99eb23cb60dd594a206efb3c49d814d0340b46c76d111c1b","source":{"kind":"arxiv","id":"1607.04315","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.04315","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"arxiv_version","alias_value":"1607.04315v3","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.04315","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"pith_short_12","alias_value":"HPEG7HGRAIDJ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HPEG7HGRAIDJVGPL","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HPEG7HGR","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:HPEG7HGRAIDJVGPLEPFWBXKZJI","target":"record","payload":{"canonical_record":{"source":{"id":"1607.04315","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-14T20:58:26Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"453dc23f7690dbe7cb952ccb98b5ef6d7c0fed11235375f3aef9386bed78abf3","abstract_canon_sha256":"731b29e6e924c04c783bb0b86c0b6dd5c3a0c63c15e559a82f7deff2349936e2"},"schema_version":"1.0"},"canonical_sha256":"3bc86f9cd102069a99eb23cb60dd594a206efb3c49d814d0340b46c76d111c1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:20.777719Z","signature_b64":"EYIew2wr1shpDxweY2c0dLHe/fTcGT+mX9xRK5mZiQPGlaRTdkJBx1OYbJcKxSbLmAOYJ+FiaRrzTnTJboUvDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bc86f9cd102069a99eb23cb60dd594a206efb3c49d814d0340b46c76d111c1b","last_reissued_at":"2026-05-18T00:53:20.777227Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:20.777227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.04315","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":"2026-05-18T00:53:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5BvSUzeerD9EZ5wStzQAd21b95l9iXDDl/yIjxnEQyPDJLUE1q7tLYvBtDk/wHgf4rqiHE8sRN42dqAkALFaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:29:53.724988Z"},"content_sha256":"fb84c5091c88d273166430f28ceedbe0dd4792d3a4cdfccd3ed3bd2e6e98e04a","schema_version":"1.0","event_id":"sha256:fb84c5091c88d273166430f28ceedbe0dd4792d3a4cdfccd3ed3bd2e6e98e04a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:HPEG7HGRAIDJVGPLEPFWBXKZJI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Semantic Encoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Hong Yu, Tsendsuren Munkhdalai","submitted_at":"2016-07-14T20:58:26Z","abstract_excerpt":"We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized encoding memory that evolves over time and maintains the understanding of input sequences through read}, compose and write operations. NSE can also access multiple and shared memories. In this paper, we demonstrated the effectiveness and the flexibility of NSE on five different natural language tasks: natural language inference, question answering, sentence classification, document sentiment analysis and machine tran"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.04315","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":"2026-05-18T00:53:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMcq65euio+P7LEdgPrfXZMPMDc5eFoiVRsgP8jfLDGYyldwQ6auVvC/mO5OLmxNq3UkQx+bd4Z+r4B0eQptDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:29:53.725589Z"},"content_sha256":"6d9cb57f171facc1abd3b3452d97fbccf39407cfd11c2f4cad4340224e60758a","schema_version":"1.0","event_id":"sha256:6d9cb57f171facc1abd3b3452d97fbccf39407cfd11c2f4cad4340224e60758a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/bundle.json","state_url":"https://pith.science/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/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":"2026-06-06T16:29:53Z","links":{"resolver":"https://pith.science/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI","bundle":"https://pith.science/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/bundle.json","state":"https://pith.science/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HPEG7HGRAIDJVGPLEPFWBXKZJI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HPEG7HGRAIDJVGPLEPFWBXKZJI","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":"731b29e6e924c04c783bb0b86c0b6dd5c3a0c63c15e559a82f7deff2349936e2","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-14T20:58:26Z","title_canon_sha256":"453dc23f7690dbe7cb952ccb98b5ef6d7c0fed11235375f3aef9386bed78abf3"},"schema_version":"1.0","source":{"id":"1607.04315","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.04315","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"arxiv_version","alias_value":"1607.04315v3","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.04315","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"pith_short_12","alias_value":"HPEG7HGRAIDJ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HPEG7HGRAIDJVGPL","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HPEG7HGR","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:6d9cb57f171facc1abd3b3452d97fbccf39407cfd11c2f4cad4340224e60758a","target":"graph","created_at":"2026-05-18T00:53:20Z","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 a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized encoding memory that evolves over time and maintains the understanding of input sequences through read}, compose and write operations. NSE can also access multiple and shared memories. In this paper, we demonstrated the effectiveness and the flexibility of NSE on five different natural language tasks: natural language inference, question answering, sentence classification, document sentiment analysis and machine tran","authors_text":"Hong Yu, Tsendsuren Munkhdalai","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-14T20:58:26Z","title":"Neural Semantic Encoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.04315","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:fb84c5091c88d273166430f28ceedbe0dd4792d3a4cdfccd3ed3bd2e6e98e04a","target":"record","created_at":"2026-05-18T00:53:20Z","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":"731b29e6e924c04c783bb0b86c0b6dd5c3a0c63c15e559a82f7deff2349936e2","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-14T20:58:26Z","title_canon_sha256":"453dc23f7690dbe7cb952ccb98b5ef6d7c0fed11235375f3aef9386bed78abf3"},"schema_version":"1.0","source":{"id":"1607.04315","kind":"arxiv","version":3}},"canonical_sha256":"3bc86f9cd102069a99eb23cb60dd594a206efb3c49d814d0340b46c76d111c1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bc86f9cd102069a99eb23cb60dd594a206efb3c49d814d0340b46c76d111c1b","first_computed_at":"2026-05-18T00:53:20.777227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:20.777227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EYIew2wr1shpDxweY2c0dLHe/fTcGT+mX9xRK5mZiQPGlaRTdkJBx1OYbJcKxSbLmAOYJ+FiaRrzTnTJboUvDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:20.777719Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.04315","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb84c5091c88d273166430f28ceedbe0dd4792d3a4cdfccd3ed3bd2e6e98e04a","sha256:6d9cb57f171facc1abd3b3452d97fbccf39407cfd11c2f4cad4340224e60758a"],"state_sha256":"938774dda22d7ad70e1a7b1d155662e0a977f2ba1523b2fef55309a6de3bf398"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"37Uz8KuWkEeaKpH0B8wSMo5ZoJkosmIFifJZ0jIE/pKG1yF3MnfdLLLjCcju29Kvu5s+7tIXn0A+DleaTTWSDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T16:29:53.728727Z","bundle_sha256":"323c84c75cad491a7579d1c7cb3c735777a2e3117860bf6de1c329aa708287ad"}}