{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LYCSKXX6DAEUG3FZUE6ZMWLGKD","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":"c1cb7702bcec1b3ca10a64ade989e77552def093c09d9f76821f9ad8ad7c44d4","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-03T16:15:22Z","title_canon_sha256":"eaa94802bec9d04481ef78284f78fb0e98c86eed295ffd406ac7cfbd148b8072"},"schema_version":"1.0","source":{"id":"2010.01381","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01381","created_at":"2026-07-05T01:40:04Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01381v1","created_at":"2026-07-05T01:40:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01381","created_at":"2026-07-05T01:40:04Z"},{"alias_kind":"pith_short_12","alias_value":"LYCSKXX6DAEU","created_at":"2026-07-05T01:40:04Z"},{"alias_kind":"pith_short_16","alias_value":"LYCSKXX6DAEUG3FZ","created_at":"2026-07-05T01:40:04Z"},{"alias_kind":"pith_short_8","alias_value":"LYCSKXX6","created_at":"2026-07-05T01:40:04Z"}],"graph_snapshots":[{"event_id":"sha256:7a8373f9cce70b76b5eca6da7fc36249061b8f209e8be3c5a90d821aff82ce07","target":"graph","created_at":"2026-07-05T01:40:04Z","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/2010.01381/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The marriage of recurrent neural networks and neural ordinary differential networks (ODE-RNN) is effective in modeling irregularly-observed sequences. While ODE produces the smooth hidden states between observation intervals, the RNN will trigger a hidden state jump when a new observation arrives, thus cause the interpolation discontinuity problem. To address this issue, we propose the cubic spline smoothing compensation, which is a stand-alone module upon either the output or the hidden state of ODE-RNN and can be trained end-to-end. We derive its analytical solution and provide its theoretic","authors_text":"Chenliang Xu, Jing Bi, Jing Shi, Yingru Liu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-03T16:15:22Z","title":"Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01381","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:f16a1b50d9cea6bc32d0f56c4106b8dcd1e5fe199ec5ffa235a881e07a76bef7","target":"record","created_at":"2026-07-05T01:40:04Z","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":"c1cb7702bcec1b3ca10a64ade989e77552def093c09d9f76821f9ad8ad7c44d4","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-03T16:15:22Z","title_canon_sha256":"eaa94802bec9d04481ef78284f78fb0e98c86eed295ffd406ac7cfbd148b8072"},"schema_version":"1.0","source":{"id":"2010.01381","kind":"arxiv","version":1}},"canonical_sha256":"5e05255efe1809436cb9a13d96596650c77198b27bdfe45121d37c8e3509c96e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e05255efe1809436cb9a13d96596650c77198b27bdfe45121d37c8e3509c96e","first_computed_at":"2026-07-05T01:40:04.798077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:40:04.798077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D1PJuJSv8oadD01AHn1ocaE+LNhOIiE/3qlAnnjSaAsW0eZFMCDF7QnJAVCfBDM9pTH2c/67VKpihQOO/a6NCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:40:04.798458Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.01381","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f16a1b50d9cea6bc32d0f56c4106b8dcd1e5fe199ec5ffa235a881e07a76bef7","sha256:7a8373f9cce70b76b5eca6da7fc36249061b8f209e8be3c5a90d821aff82ce07"],"state_sha256":"985c11309ebe7027418103f0a33efcf684514d310d793001550d8c94a850d4ca"}