{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HQAPYRPRH44N6SBI5EWTFPDLAD","short_pith_number":"pith:HQAPYRPR","canonical_record":{"source":{"id":"2309.15946","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T18:59:00Z","cross_cats_sorted":["cs.AI","cs.NE","math.DS"],"title_canon_sha256":"913da17f739627f566436cef56801331b231c27bb769782211aab349aa2124a8","abstract_canon_sha256":"a944f0d53019deb4c5945715c4b39d5d7fbd38703dd64fab59a40d649825e235"},"schema_version":"1.0"},"canonical_sha256":"3c00fc45f13f38df4828e92d32bc6b00f0d2f9872694453baa1f8ac20134f304","source":{"kind":"arxiv","id":"2309.15946","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15946","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15946v1","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15946","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"HQAPYRPRH44N","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"HQAPYRPRH44N6SBI","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"HQAPYRPR","created_at":"2026-06-02T02:04:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HQAPYRPRH44N6SBI5EWTFPDLAD","target":"record","payload":{"canonical_record":{"source":{"id":"2309.15946","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T18:59:00Z","cross_cats_sorted":["cs.AI","cs.NE","math.DS"],"title_canon_sha256":"913da17f739627f566436cef56801331b231c27bb769782211aab349aa2124a8","abstract_canon_sha256":"a944f0d53019deb4c5945715c4b39d5d7fbd38703dd64fab59a40d649825e235"},"schema_version":"1.0"},"canonical_sha256":"3c00fc45f13f38df4828e92d32bc6b00f0d2f9872694453baa1f8ac20134f304","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:44.706872Z","signature_b64":"Z9dPEvmxUEb/3zzBozKI5crbngs2zotdIjqfDrJCurFqOVlx3TBjGXiRygl83k6oh73Vc4yRj92CKFsUMjBpAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c00fc45f13f38df4828e92d32bc6b00f0d2f9872694453baa1f8ac20134f304","last_reissued_at":"2026-06-02T02:04:44.706444Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:44.706444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.15946","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":"2026-06-02T02:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zfLbig6Z8cP/w0f7GbttMyLkKsOKNjCQfU+X/c7aDWK3Jqw37iuSJXN31qtiWykJDPkT7UDS8UNoljfdr1FYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:28:20.703133Z"},"content_sha256":"cff9ad13660bf18ac296783a281985c3b0df62839ff13d9849027e4858355bbb","schema_version":"1.0","event_id":"sha256:cff9ad13660bf18ac296783a281985c3b0df62839ff13d9849027e4858355bbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HQAPYRPRH44N6SBI5EWTFPDLAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Long-Term Time-Series Forecasting Benchmark","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.NE","math.DS"],"primary_cat":"cs.LG","authors_text":"Jacek Cyranka, Szymon Haponiuk","submitted_at":"2023-09-27T18:59:00Z","abstract_excerpt":"In order to support the advancement of machine learning methods for predicting time-series data, we present a comprehensive dataset designed explicitly for long-term time-series forecasting. We incorporate a collection of datasets obtained from diverse, dynamic systems and real-life records. Each dataset is standardized by dividing it into training and test trajectories with predetermined lookback lengths. We include trajectories of length up to $2000$ to ensure a reliable evaluation of long-term forecasting capabilities. To determine the most effective model in diverse scenarios, we conduct a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15946","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.15946/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":"2026-06-02T02:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TRLUSGU/3mR6g8PiBJdWb85U94mmYpGNGVot7cDshx3q+7abufJoiMY5uXdQKa6Q18XFUEUjfR20Yf955I22Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:28:20.703575Z"},"content_sha256":"b1042f172acc4f6ce799b3d7fb6b9240b79f343785548e1f91d3904e984f00db","schema_version":"1.0","event_id":"sha256:b1042f172acc4f6ce799b3d7fb6b9240b79f343785548e1f91d3904e984f00db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/bundle.json","state_url":"https://pith.science/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/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":"2026-06-11T21:28:20Z","links":{"resolver":"https://pith.science/pith/HQAPYRPRH44N6SBI5EWTFPDLAD","bundle":"https://pith.science/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/bundle.json","state":"https://pith.science/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HQAPYRPRH44N6SBI5EWTFPDLAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HQAPYRPRH44N6SBI5EWTFPDLAD","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":"a944f0d53019deb4c5945715c4b39d5d7fbd38703dd64fab59a40d649825e235","cross_cats_sorted":["cs.AI","cs.NE","math.DS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T18:59:00Z","title_canon_sha256":"913da17f739627f566436cef56801331b231c27bb769782211aab349aa2124a8"},"schema_version":"1.0","source":{"id":"2309.15946","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.15946","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2309.15946v1","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.15946","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"HQAPYRPRH44N","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"HQAPYRPRH44N6SBI","created_at":"2026-06-02T02:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"HQAPYRPR","created_at":"2026-06-02T02:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:b1042f172acc4f6ce799b3d7fb6b9240b79f343785548e1f91d3904e984f00db","target":"graph","created_at":"2026-06-02T02:04:44Z","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/2309.15946/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to support the advancement of machine learning methods for predicting time-series data, we present a comprehensive dataset designed explicitly for long-term time-series forecasting. We incorporate a collection of datasets obtained from diverse, dynamic systems and real-life records. Each dataset is standardized by dividing it into training and test trajectories with predetermined lookback lengths. We include trajectories of length up to $2000$ to ensure a reliable evaluation of long-term forecasting capabilities. To determine the most effective model in diverse scenarios, we conduct a","authors_text":"Jacek Cyranka, Szymon Haponiuk","cross_cats":["cs.AI","cs.NE","math.DS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T18:59:00Z","title":"Unified Long-Term Time-Series Forecasting Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.15946","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:cff9ad13660bf18ac296783a281985c3b0df62839ff13d9849027e4858355bbb","target":"record","created_at":"2026-06-02T02:04:44Z","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":"a944f0d53019deb4c5945715c4b39d5d7fbd38703dd64fab59a40d649825e235","cross_cats_sorted":["cs.AI","cs.NE","math.DS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-27T18:59:00Z","title_canon_sha256":"913da17f739627f566436cef56801331b231c27bb769782211aab349aa2124a8"},"schema_version":"1.0","source":{"id":"2309.15946","kind":"arxiv","version":1}},"canonical_sha256":"3c00fc45f13f38df4828e92d32bc6b00f0d2f9872694453baa1f8ac20134f304","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c00fc45f13f38df4828e92d32bc6b00f0d2f9872694453baa1f8ac20134f304","first_computed_at":"2026-06-02T02:04:44.706444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:44.706444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z9dPEvmxUEb/3zzBozKI5crbngs2zotdIjqfDrJCurFqOVlx3TBjGXiRygl83k6oh73Vc4yRj92CKFsUMjBpAQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:44.706872Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.15946","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cff9ad13660bf18ac296783a281985c3b0df62839ff13d9849027e4858355bbb","sha256:b1042f172acc4f6ce799b3d7fb6b9240b79f343785548e1f91d3904e984f00db"],"state_sha256":"f3afb31a5c778296874f4f192665ac8e058df401dde305c12e8e4aa8dd8af6f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v8A/39gWC9/WEK9wKCtgJSyJ2/u64LAM78noJRHu4WZNM/5+0PgXxEEe9074/Bvn1lY1egvDZEEgPnNKvs7PDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T21:28:20.707415Z","bundle_sha256":"48aebe8eaad03bdb9076bc6b959249ab05597af6a9209fff2220f1dbaf23c239"}}