{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JMIMEJRKBUWKX3O2NXYT534EH4","short_pith_number":"pith:JMIMEJRK","canonical_record":{"source":{"id":"2209.13525","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-27T16:43:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fbba9d7e7ee1a580808210c29cf442036aeb85bc21f9c1f9f984f063e1209e59","abstract_canon_sha256":"f24ab4164a77806e24a1e2e7b29259c084a70f54d5c44035cad6aab06245d6c2"},"schema_version":"1.0"},"canonical_sha256":"4b10c2262a0d2cabedda6df13eef843f3299912baaad4f2c1a943aac8c02a1f7","source":{"kind":"arxiv","id":"2209.13525","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.13525","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2209.13525v1","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.13525","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"JMIMEJRKBUWK","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"JMIMEJRKBUWKX3O2","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"JMIMEJRK","created_at":"2026-07-05T05:01:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JMIMEJRKBUWKX3O2NXYT534EH4","target":"record","payload":{"canonical_record":{"source":{"id":"2209.13525","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-27T16:43:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fbba9d7e7ee1a580808210c29cf442036aeb85bc21f9c1f9f984f063e1209e59","abstract_canon_sha256":"f24ab4164a77806e24a1e2e7b29259c084a70f54d5c44035cad6aab06245d6c2"},"schema_version":"1.0"},"canonical_sha256":"4b10c2262a0d2cabedda6df13eef843f3299912baaad4f2c1a943aac8c02a1f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:01:33.377460Z","signature_b64":"KCx/ENtCU/+jGrmptZHYYvRa9VyHjrwloqKwCHn1MSJ+Gmp4X4vOs+dZzj7n7VLqbqK3TyyVB8nVzhj/+5adBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b10c2262a0d2cabedda6df13eef843f3299912baaad4f2c1a943aac8c02a1f7","last_reissued_at":"2026-07-05T05:01:33.377033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:01:33.377033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.13525","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":"2026-07-05T05:01:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HyVb1sDY6LBMquzI6DcatByFNFdcVyG5h3jSIUbo6iIX7isd8Udy2lgKSwT6mrYrj9PG4UlttmCNJK9RuVoMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T18:30:00.359087Z"},"content_sha256":"4d4fc8f3eb5d0f91ac4454f45e16b0ab1e6bf99f6bc329b2e750d4c6db94900e","schema_version":"1.0","event_id":"sha256:4d4fc8f3eb5d0f91ac4454f45e16b0ab1e6bf99f6bc329b2e750d4c6db94900e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JMIMEJRKBUWKX3O2NXYT534EH4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Retrieval Based Time Series Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Andrew Margenot, Baoyu Jing, Bin Peng, Hanghang Tong, Kaiyu Guan, Si Zhang, Yada Zhu","submitted_at":"2022-09-27T16:43:55Z","abstract_excerpt":"Time series data appears in a variety of applications such as smart transportation and environmental monitoring. One of the fundamental problems for time series analysis is time series forecasting. Despite the success of recent deep time series forecasting methods, they require sufficient observation of historical values to make accurate forecasting. In other words, the ratio of the output length (or forecasting horizon) to the sum of the input and output lengths should be low enough (e.g., 0.3). As the ratio increases (e.g., to 0.8), the uncertainty for the forecasting accuracy increases sign"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.13525","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/2209.13525/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":"2026-07-05T05:01:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nu3A4MpYv8xqcTY/Kcx4Ni40FBmv08YRlrcE+WGhsgjiDJ7At4H974nGRwluo38HJ8VbN9jll+GiEJ/q2OQnBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T18:30:00.359528Z"},"content_sha256":"2fa6a82cddcaa922ee25b936495b5c058e3d92f85b5be83a986ffcc7132fd3b8","schema_version":"1.0","event_id":"sha256:2fa6a82cddcaa922ee25b936495b5c058e3d92f85b5be83a986ffcc7132fd3b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JMIMEJRKBUWKX3O2NXYT534EH4/bundle.json","state_url":"https://pith.science/pith/JMIMEJRKBUWKX3O2NXYT534EH4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JMIMEJRKBUWKX3O2NXYT534EH4/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":"2026-07-08T18:30:00Z","links":{"resolver":"https://pith.science/pith/JMIMEJRKBUWKX3O2NXYT534EH4","bundle":"https://pith.science/pith/JMIMEJRKBUWKX3O2NXYT534EH4/bundle.json","state":"https://pith.science/pith/JMIMEJRKBUWKX3O2NXYT534EH4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JMIMEJRKBUWKX3O2NXYT534EH4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JMIMEJRKBUWKX3O2NXYT534EH4","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":"f24ab4164a77806e24a1e2e7b29259c084a70f54d5c44035cad6aab06245d6c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-27T16:43:55Z","title_canon_sha256":"fbba9d7e7ee1a580808210c29cf442036aeb85bc21f9c1f9f984f063e1209e59"},"schema_version":"1.0","source":{"id":"2209.13525","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.13525","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2209.13525v1","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.13525","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"JMIMEJRKBUWK","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"JMIMEJRKBUWKX3O2","created_at":"2026-07-05T05:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"JMIMEJRK","created_at":"2026-07-05T05:01:33Z"}],"graph_snapshots":[{"event_id":"sha256:2fa6a82cddcaa922ee25b936495b5c058e3d92f85b5be83a986ffcc7132fd3b8","target":"graph","created_at":"2026-07-05T05:01:33Z","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/2209.13525/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Time series data appears in a variety of applications such as smart transportation and environmental monitoring. One of the fundamental problems for time series analysis is time series forecasting. Despite the success of recent deep time series forecasting methods, they require sufficient observation of historical values to make accurate forecasting. In other words, the ratio of the output length (or forecasting horizon) to the sum of the input and output lengths should be low enough (e.g., 0.3). As the ratio increases (e.g., to 0.8), the uncertainty for the forecasting accuracy increases sign","authors_text":"Andrew Margenot, Baoyu Jing, Bin Peng, Hanghang Tong, Kaiyu Guan, Si Zhang, Yada Zhu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-27T16:43:55Z","title":"Retrieval Based Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.13525","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":"sha256:4d4fc8f3eb5d0f91ac4454f45e16b0ab1e6bf99f6bc329b2e750d4c6db94900e","target":"record","created_at":"2026-07-05T05:01:33Z","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":"f24ab4164a77806e24a1e2e7b29259c084a70f54d5c44035cad6aab06245d6c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-27T16:43:55Z","title_canon_sha256":"fbba9d7e7ee1a580808210c29cf442036aeb85bc21f9c1f9f984f063e1209e59"},"schema_version":"1.0","source":{"id":"2209.13525","kind":"arxiv","version":1}},"canonical_sha256":"4b10c2262a0d2cabedda6df13eef843f3299912baaad4f2c1a943aac8c02a1f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b10c2262a0d2cabedda6df13eef843f3299912baaad4f2c1a943aac8c02a1f7","first_computed_at":"2026-07-05T05:01:33.377033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:01:33.377033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KCx/ENtCU/+jGrmptZHYYvRa9VyHjrwloqKwCHn1MSJ+Gmp4X4vOs+dZzj7n7VLqbqK3TyyVB8nVzhj/+5adBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:01:33.377460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.13525","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d4fc8f3eb5d0f91ac4454f45e16b0ab1e6bf99f6bc329b2e750d4c6db94900e","sha256:2fa6a82cddcaa922ee25b936495b5c058e3d92f85b5be83a986ffcc7132fd3b8"],"state_sha256":"ec7fe7266597dcd7d3754acab8498ee0c281d8b2ee800d593cfbe6b5781eea8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3SrBNQLDR71h1+w9qfSyL8tmweJAjCVHnclZdFDe83YnKxCvKXT057nvTRh+J8TuFfBcwGa/RhnCpIDlTadmBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T18:30:00.362865Z","bundle_sha256":"7d21b2c0cb581cc6df9beb7c518aa1f842dc75c2c4abd5a06f5c132052bf5e99"}}