{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:K24P2FE7AHGISYGLDBGBUBHJT5","short_pith_number":"pith:K24P2FE7","canonical_record":{"source":{"id":"1901.02252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-08T11:06:42Z","cross_cats_sorted":[],"title_canon_sha256":"5b682a9b137aea4ff664307473db4e1c4265a5d80764e92f3ff4f5e8173abe01","abstract_canon_sha256":"0f9dc57a1ce11406967e8b04b8bb05fda211cc2638ed88eb3a978948c31dd1f9"},"schema_version":"1.0"},"canonical_sha256":"56b8fd149f01cc8960cb184c1a04e99f4f4b2158ccb38382037186cec4d766cf","source":{"kind":"arxiv","id":"1901.02252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02252","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02252v1","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02252","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"K24P2FE7AHGI","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"K24P2FE7AHGISYGL","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"K24P2FE7","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:K24P2FE7AHGISYGLDBGBUBHJT5","target":"record","payload":{"canonical_record":{"source":{"id":"1901.02252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-08T11:06:42Z","cross_cats_sorted":[],"title_canon_sha256":"5b682a9b137aea4ff664307473db4e1c4265a5d80764e92f3ff4f5e8173abe01","abstract_canon_sha256":"0f9dc57a1ce11406967e8b04b8bb05fda211cc2638ed88eb3a978948c31dd1f9"},"schema_version":"1.0"},"canonical_sha256":"56b8fd149f01cc8960cb184c1a04e99f4f4b2158ccb38382037186cec4d766cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:43.685756Z","signature_b64":"4C8VPBIYhR3DVfB+ClBACSGBUcnmT8ploYQkfhtNlZEmRWihjCVOjCPM9TnY2hyc+m0oceduQB6dS81f/6j/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56b8fd149f01cc8960cb184c1a04e99f4f4b2158ccb38382037186cec4d766cf","last_reissued_at":"2026-05-17T23:56:43.685243Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:43.685243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.02252","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":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zwyk9jPpr7faXCxfV8Eh6cu8u9WqhV8IqStjvilM00alXPnYPr0VDgEyPIk2BpiITKK+FCcdix2SWi6nrFHBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T14:39:27.937477Z"},"content_sha256":"522bf2c5d4805ad88ad8d72ececc31eb9744f2cfc01332d78ecc9fbbfb01a368","schema_version":"1.0","event_id":"sha256:522bf2c5d4805ad88ad8d72ececc31eb9744f2cfc01332d78ecc9fbbfb01a368"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:K24P2FE7AHGISYGLDBGBUBHJT5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chunhua Liu, Dong Yu, Haiou Zhang, Shan Jiang","submitted_at":"2019-01-08T11:06:42Z","abstract_excerpt":"This paper proposes a Distilled-Exposition Enhanced Matching Network (DEMN) for story-cloze test, which is still a challenging task in story comprehension. We divide a complete story into three narrative segments: an \\textit{exposition}, a \\textit{climax}, and an \\textit{ending}. The model consists of three modules: input module, matching module, and distillation module. The input module provides semantic representations for the three segments and then feeds them into the other two modules. The matching module collects interaction features between the ending and the climax. The distillation mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02252","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":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1GK6teTBLw6qbkVTPJf1HoVOFE/46NpNCP0yFikRRgGmvTrgx4TImxfSPNeErb3dhAshvfv/Nu0hUkfOaJdyDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T14:39:27.937819Z"},"content_sha256":"f29de494d9e6c61e6d25a36988f9f9f4ea365daa6c8b2b32cef4529b91d02a2d","schema_version":"1.0","event_id":"sha256:f29de494d9e6c61e6d25a36988f9f9f4ea365daa6c8b2b32cef4529b91d02a2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K24P2FE7AHGISYGLDBGBUBHJT5/bundle.json","state_url":"https://pith.science/pith/K24P2FE7AHGISYGLDBGBUBHJT5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K24P2FE7AHGISYGLDBGBUBHJT5/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":"2026-06-05T14:39:27Z","links":{"resolver":"https://pith.science/pith/K24P2FE7AHGISYGLDBGBUBHJT5","bundle":"https://pith.science/pith/K24P2FE7AHGISYGLDBGBUBHJT5/bundle.json","state":"https://pith.science/pith/K24P2FE7AHGISYGLDBGBUBHJT5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K24P2FE7AHGISYGLDBGBUBHJT5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:K24P2FE7AHGISYGLDBGBUBHJT5","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":"0f9dc57a1ce11406967e8b04b8bb05fda211cc2638ed88eb3a978948c31dd1f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-08T11:06:42Z","title_canon_sha256":"5b682a9b137aea4ff664307473db4e1c4265a5d80764e92f3ff4f5e8173abe01"},"schema_version":"1.0","source":{"id":"1901.02252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02252","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02252v1","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02252","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"K24P2FE7AHGI","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"K24P2FE7AHGISYGL","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"K24P2FE7","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:f29de494d9e6c61e6d25a36988f9f9f4ea365daa6c8b2b32cef4529b91d02a2d","target":"graph","created_at":"2026-05-17T23:56:43Z","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":"This paper proposes a Distilled-Exposition Enhanced Matching Network (DEMN) for story-cloze test, which is still a challenging task in story comprehension. We divide a complete story into three narrative segments: an \\textit{exposition}, a \\textit{climax}, and an \\textit{ending}. The model consists of three modules: input module, matching module, and distillation module. The input module provides semantic representations for the three segments and then feeds them into the other two modules. The matching module collects interaction features between the ending and the climax. The distillation mo","authors_text":"Chunhua Liu, Dong Yu, Haiou Zhang, Shan Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-08T11:06:42Z","title":"DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02252","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":"sha256:522bf2c5d4805ad88ad8d72ececc31eb9744f2cfc01332d78ecc9fbbfb01a368","target":"record","created_at":"2026-05-17T23:56:43Z","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":"0f9dc57a1ce11406967e8b04b8bb05fda211cc2638ed88eb3a978948c31dd1f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-01-08T11:06:42Z","title_canon_sha256":"5b682a9b137aea4ff664307473db4e1c4265a5d80764e92f3ff4f5e8173abe01"},"schema_version":"1.0","source":{"id":"1901.02252","kind":"arxiv","version":1}},"canonical_sha256":"56b8fd149f01cc8960cb184c1a04e99f4f4b2158ccb38382037186cec4d766cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56b8fd149f01cc8960cb184c1a04e99f4f4b2158ccb38382037186cec4d766cf","first_computed_at":"2026-05-17T23:56:43.685243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:43.685243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4C8VPBIYhR3DVfB+ClBACSGBUcnmT8ploYQkfhtNlZEmRWihjCVOjCPM9TnY2hyc+m0oceduQB6dS81f/6j/AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:43.685756Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.02252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:522bf2c5d4805ad88ad8d72ececc31eb9744f2cfc01332d78ecc9fbbfb01a368","sha256:f29de494d9e6c61e6d25a36988f9f9f4ea365daa6c8b2b32cef4529b91d02a2d"],"state_sha256":"8e1a91736ac1dc74a7a0989988b73c299b18ee2a8003729c1a4cafc0e87942ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZLcrsl/P1ayW2NVVOTaZtlaEiKvTBxrxziYXpj3yk4noZu0mTC2jkwqRwPXu2h1zL/ElxMQdQETjHo/SF5heDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T14:39:27.939800Z","bundle_sha256":"2f86050759240c22448a97171b52caf379eabd8e18231806848ff65e80abd7f4"}}