{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DCZTGKEEJBY4ILC2LKDMIQL7VP","short_pith_number":"pith:DCZTGKEE","canonical_record":{"source":{"id":"2410.23160","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-30T16:14:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"69405df49a934a6e91e45dc5db6d0127e6c105efcb202cc2e6b97d3cdf7880c7","abstract_canon_sha256":"15d50007dd6cefab738ef6fe237b7842e678cebdf3a5b3b0b0eab4d7b8e4dd75"},"schema_version":"1.0"},"canonical_sha256":"18b33328844871c42c5a5a86c4417fabf39b23b08f5c2f4d59f8a1d94eae0b45","source":{"kind":"arxiv","id":"2410.23160","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23160","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23160v2","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23160","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_12","alias_value":"DCZTGKEEJBY4","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_16","alias_value":"DCZTGKEEJBY4ILC2","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_8","alias_value":"DCZTGKEE","created_at":"2026-07-05T11:58:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DCZTGKEEJBY4ILC2LKDMIQL7VP","target":"record","payload":{"canonical_record":{"source":{"id":"2410.23160","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-30T16:14:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"69405df49a934a6e91e45dc5db6d0127e6c105efcb202cc2e6b97d3cdf7880c7","abstract_canon_sha256":"15d50007dd6cefab738ef6fe237b7842e678cebdf3a5b3b0b0eab4d7b8e4dd75"},"schema_version":"1.0"},"canonical_sha256":"18b33328844871c42c5a5a86c4417fabf39b23b08f5c2f4d59f8a1d94eae0b45","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:21.471012Z","signature_b64":"Wwb7CRXsDoFRNPhpJNkspSC3ytvLiOPK/uZXMGLN+nrlLJJwy1Fu9PLwY4A/34KpXpdAwe2k++eT8nKzqaMnDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18b33328844871c42c5a5a86c4417fabf39b23b08f5c2f4d59f8a1d94eae0b45","last_reissued_at":"2026-07-05T11:58:21.470529Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:21.470529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.23160","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:58:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8HS6ydbZ+Px8iwcIsl6Yi8Vw5CCoOZtrmlFUGLXnlJxZYbvJl3YddmduowamqIhs2E/7VO9+x18hcrsGPAE2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:57:44.177342Z"},"content_sha256":"c2bd065a9d0f5eaac70cfafa9738605f632737c54c4e90f2194c51dba5f22639","schema_version":"1.0","event_id":"sha256:c2bd065a9d0f5eaac70cfafa9738605f632737c54c4e90f2194c51dba5f22639"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DCZTGKEEJBY4ILC2LKDMIQL7VP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Gao Cong, Jingge Xiao, Simon Gottschalk, Wolfgang Nejdl, Yile Chen","submitted_at":"2024-10-30T16:14:09Z","abstract_excerpt":"Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily on imputation, limiting their applicability in real-world scenarios where irregularities are prevalent due to diverse sensing devices and recording practices. We introduce FlexTSF, a flexible forecasting model specifically designed for time series data with variable temporal regularities. At its foundation lies the IVP Patcher, a continuous-time patching module leveraging Initial Value Problems (IVPs) to inherently "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23160","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.23160/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T11:58:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jS0scmFdyG/GvsEUL9p/YfmqF7WF78jsNcd8JZTOlU615Pxc+NSl4aIsl7BnbseTWqewLOLXH8FtNLQOE0/bAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:57:44.177824Z"},"content_sha256":"406589ab294152d30c827fc68a504099576db1b183eafdc3833ebc6a85bbcdf2","schema_version":"1.0","event_id":"sha256:406589ab294152d30c827fc68a504099576db1b183eafdc3833ebc6a85bbcdf2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/bundle.json","state_url":"https://pith.science/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/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":"2026-08-04T09:57:44Z","links":{"resolver":"https://pith.science/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP","bundle":"https://pith.science/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/bundle.json","state":"https://pith.science/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DCZTGKEEJBY4ILC2LKDMIQL7VP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DCZTGKEEJBY4ILC2LKDMIQL7VP","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":"15d50007dd6cefab738ef6fe237b7842e678cebdf3a5b3b0b0eab4d7b8e4dd75","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-30T16:14:09Z","title_canon_sha256":"69405df49a934a6e91e45dc5db6d0127e6c105efcb202cc2e6b97d3cdf7880c7"},"schema_version":"1.0","source":{"id":"2410.23160","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.23160","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.23160v2","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.23160","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_12","alias_value":"DCZTGKEEJBY4","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_16","alias_value":"DCZTGKEEJBY4ILC2","created_at":"2026-07-05T11:58:21Z"},{"alias_kind":"pith_short_8","alias_value":"DCZTGKEE","created_at":"2026-07-05T11:58:21Z"}],"graph_snapshots":[{"event_id":"sha256:406589ab294152d30c827fc68a504099576db1b183eafdc3833ebc6a85bbcdf2","target":"graph","created_at":"2026-07-05T11:58:21Z","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/2410.23160/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily on imputation, limiting their applicability in real-world scenarios where irregularities are prevalent due to diverse sensing devices and recording practices. We introduce FlexTSF, a flexible forecasting model specifically designed for time series data with variable temporal regularities. At its foundation lies the IVP Patcher, a continuous-time patching module leveraging Initial Value Problems (IVPs) to inherently ","authors_text":"Gao Cong, Jingge Xiao, Simon Gottschalk, Wolfgang Nejdl, Yile Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-30T16:14:09Z","title":"FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.23160","kind":"arxiv","version":2},"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:c2bd065a9d0f5eaac70cfafa9738605f632737c54c4e90f2194c51dba5f22639","target":"record","created_at":"2026-07-05T11:58:21Z","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":"15d50007dd6cefab738ef6fe237b7842e678cebdf3a5b3b0b0eab4d7b8e4dd75","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-30T16:14:09Z","title_canon_sha256":"69405df49a934a6e91e45dc5db6d0127e6c105efcb202cc2e6b97d3cdf7880c7"},"schema_version":"1.0","source":{"id":"2410.23160","kind":"arxiv","version":2}},"canonical_sha256":"18b33328844871c42c5a5a86c4417fabf39b23b08f5c2f4d59f8a1d94eae0b45","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18b33328844871c42c5a5a86c4417fabf39b23b08f5c2f4d59f8a1d94eae0b45","first_computed_at":"2026-07-05T11:58:21.470529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:21.470529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wwb7CRXsDoFRNPhpJNkspSC3ytvLiOPK/uZXMGLN+nrlLJJwy1Fu9PLwY4A/34KpXpdAwe2k++eT8nKzqaMnDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:21.471012Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.23160","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2bd065a9d0f5eaac70cfafa9738605f632737c54c4e90f2194c51dba5f22639","sha256:406589ab294152d30c827fc68a504099576db1b183eafdc3833ebc6a85bbcdf2"],"state_sha256":"f8a180588d26bafecf0fc6448005b06dc43b050d04aba9645014078ea2bafd0b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M7p/1SgVg4RnStbW0HqqhzLJa39GIvKhMbBKTKrcv1fhSMJyLjeIpro+1vhI1YRRtrTbUT1AyKYzbvv8IFXADw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:57:44.181518Z","bundle_sha256":"57a9a7edefa39d23129269dd4d480ebd025a71d30339ec2ed1fed30d779b39c5"}}