{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:X7EYIU5NL6LE2C4V7TPUW4DW46","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":"63855ae3f77a1da2f6ec3f72cdd561f4377c7d0259af7050205e6f34f531455b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-10T09:21:24Z","title_canon_sha256":"1b34794b6e38cadfc6ba088cc2c876baeff009ee7de7f8a4cf8ccfdae1ed01f6"},"schema_version":"1.0","source":{"id":"2110.04741","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.04741","created_at":"2026-07-05T03:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"2110.04741v1","created_at":"2026-07-05T03:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.04741","created_at":"2026-07-05T03:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"X7EYIU5NL6LE","created_at":"2026-07-05T03:21:20Z"},{"alias_kind":"pith_short_16","alias_value":"X7EYIU5NL6LE2C4V","created_at":"2026-07-05T03:21:20Z"},{"alias_kind":"pith_short_8","alias_value":"X7EYIU5N","created_at":"2026-07-05T03:21:20Z"}],"graph_snapshots":[{"event_id":"sha256:83d6e2c63555f9794cf637a69cbd8de0c0f9d7971eec01f7c7aab2e74d3e36c8","target":"graph","created_at":"2026-07-05T03:21:20Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2110.04741/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long text understanding is important yet challenging in natural language processing. A long article or essay usually contains many redundant words that are not pertinent to its gist and sometimes can be regarded as noise. In this paper, we consider the problem of how to disentangle the gist-relevant and irrelevant information for long text understanding. With distillation mechanism, we transfer the knowledge about how to focus the salient parts from the abstractive summarization model and further integrate the distilled model, named \\emph{Gist Detector}, into existing models as a supplementary","authors_text":"Yan Liu, Yazheng Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-10T09:21:24Z","title":"Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.04741","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:fb1f7243c464043d7672594df004604e0434a9f518402e8969cc064c8212dd7c","target":"record","created_at":"2026-07-05T03:21:20Z","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":"63855ae3f77a1da2f6ec3f72cdd561f4377c7d0259af7050205e6f34f531455b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-10-10T09:21:24Z","title_canon_sha256":"1b34794b6e38cadfc6ba088cc2c876baeff009ee7de7f8a4cf8ccfdae1ed01f6"},"schema_version":"1.0","source":{"id":"2110.04741","kind":"arxiv","version":1}},"canonical_sha256":"bfc98453ad5f964d0b95fcdf4b7076e78229d9182dc1b943853321d8e8ac9335","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfc98453ad5f964d0b95fcdf4b7076e78229d9182dc1b943853321d8e8ac9335","first_computed_at":"2026-07-05T03:21:20.874576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:21:20.874576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zAcMDv+x7ogZjrI8sNdYQCJLocKrxYbAOj/0wxaDyAu0xvHFEFSdtUKpigQnOze8+zwERJib60HBnZsRMVytDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:21:20.874977Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.04741","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb1f7243c464043d7672594df004604e0434a9f518402e8969cc064c8212dd7c","sha256:83d6e2c63555f9794cf637a69cbd8de0c0f9d7971eec01f7c7aab2e74d3e36c8"],"state_sha256":"071518626dcc8c5707c34b7de862aa38e6269871d5b2a2dc7cb2d56834379763"}