{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:J5PDAAOGJ6OO64N2NP55DHE5TS","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":"610254c4da96d43b99b0c720ab4069ada191acedb22844a600dd5ef768a0f927","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-05T05:16:23Z","title_canon_sha256":"e534b348bfe1116d86f78cb121f588cfcf7d398915fdf562cf8e83e0a44592f1"},"schema_version":"1.0","source":{"id":"2006.03236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03236","created_at":"2026-07-05T01:08:16Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03236v1","created_at":"2026-07-05T01:08:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03236","created_at":"2026-07-05T01:08:16Z"},{"alias_kind":"pith_short_12","alias_value":"J5PDAAOGJ6OO","created_at":"2026-07-05T01:08:16Z"},{"alias_kind":"pith_short_16","alias_value":"J5PDAAOGJ6OO64N2","created_at":"2026-07-05T01:08:16Z"},{"alias_kind":"pith_short_8","alias_value":"J5PDAAOG","created_at":"2026-07-05T01:08:16Z"}],"graph_snapshots":[{"event_id":"sha256:15acf0932ac28d88c64535bb024b261ded389b86023d84fda0f40af074f6a82f","target":"graph","created_at":"2026-07-05T01:08:16Z","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/2006.03236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the success of language pretraining, it is highly desirable to develop more efficient architectures of good scalability that can exploit the abundant unlabeled data at a lower cost. To improve the efficiency, we examine the much-overlooked redundancy in maintaining a full-length token-level presentation, especially for tasks that only require a single-vector presentation of the sequence. With this intuition, we propose Funnel-Transformer which gradually compresses the sequence of hidden states to a shorter one and hence reduces the computation cost. More importantly, by re-investing the s","authors_text":"Guokun Lai, Quoc V. Le, Yiming Yang, Zihang Dai","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-05T05:16:23Z","title":"Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03236","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":"sha256:9312d6456356e9cb61e1d3a1494c0a3e3549398c940caf7ee87e781d478035a6","target":"record","created_at":"2026-07-05T01:08:16Z","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":"610254c4da96d43b99b0c720ab4069ada191acedb22844a600dd5ef768a0f927","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-05T05:16:23Z","title_canon_sha256":"e534b348bfe1116d86f78cb121f588cfcf7d398915fdf562cf8e83e0a44592f1"},"schema_version":"1.0","source":{"id":"2006.03236","kind":"arxiv","version":1}},"canonical_sha256":"4f5e3001c64f9cef71ba6bfbd19c9d9cb89910151284c7d205f529bff222afa0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f5e3001c64f9cef71ba6bfbd19c9d9cb89910151284c7d205f529bff222afa0","first_computed_at":"2026-07-05T01:08:16.288034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:08:16.288034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lBDPdfNfnDFVO/ce4x6NaUsdbsoJua/NLoubHSOPeLJWTa/XYFsq7SBHww8P7hsj4F8mwOjfoWtsQzsVPUDACg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:08:16.288481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.03236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9312d6456356e9cb61e1d3a1494c0a3e3549398c940caf7ee87e781d478035a6","sha256:15acf0932ac28d88c64535bb024b261ded389b86023d84fda0f40af074f6a82f"],"state_sha256":"61162273f168c2902f1cb098bc8d85ffc3edd50cad9ed27c2be1e609f992005e"}