{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6HPOEQNT5A4GBJM6BHV6XFEQJ3","short_pith_number":"pith:6HPOEQNT","canonical_record":{"source":{"id":"2211.15092","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-28T06:37:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5ab88a7d39e77eff7902b9f63e9ad365993139db5be5658e87e82c9f32f9bfa4","abstract_canon_sha256":"6845efa74719c46af06743403412b977b9067ca3e981d1fbec03dcdf138d668d"},"schema_version":"1.0"},"canonical_sha256":"f1dee241b3e83860a59e09ebeb94904ecdc1c767acf5d2a7121f979514401dbb","source":{"kind":"arxiv","id":"2211.15092","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.15092","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.15092v2","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15092","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_12","alias_value":"6HPOEQNT5A4G","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_16","alias_value":"6HPOEQNT5A4GBJM6","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_8","alias_value":"6HPOEQNT","created_at":"2026-07-05T07:08:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6HPOEQNT5A4GBJM6BHV6XFEQJ3","target":"record","payload":{"canonical_record":{"source":{"id":"2211.15092","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-28T06:37:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5ab88a7d39e77eff7902b9f63e9ad365993139db5be5658e87e82c9f32f9bfa4","abstract_canon_sha256":"6845efa74719c46af06743403412b977b9067ca3e981d1fbec03dcdf138d668d"},"schema_version":"1.0"},"canonical_sha256":"f1dee241b3e83860a59e09ebeb94904ecdc1c767acf5d2a7121f979514401dbb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:04.504260Z","signature_b64":"83rTGIAJyM62zsiDimqAl6PV7CEanXYWb4tZ49ChF2+irz/eIfCTGUa4G1L/qyS80HiNKn1TNH6TKpPffvu5Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1dee241b3e83860a59e09ebeb94904ecdc1c767acf5d2a7121f979514401dbb","last_reissued_at":"2026-07-05T07:08:04.503818Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:04.503818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.15092","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":"2026-07-05T07:08:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q9BYLnHvFjKTHriBLXrU0tqe3Y2INrIjauegoNQIKKfvnIzmqHAkk/iiimjs6gJyE55U0KvyRVaOPkIU234ADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:55:25.006063Z"},"content_sha256":"d12f3b39aeba4afed9f32ccbff856897eb6f7391475d099b1281774b776f0701","schema_version":"1.0","event_id":"sha256:d12f3b39aeba4afed9f32ccbff856897eb6f7391475d099b1281774b776f0701"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6HPOEQNT5A4GBJM6BHV6XFEQJ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Arindam Jati, Brian Quanz, Chandra Narayanaswami, Pavithra Harsha, Shaonli Pal, Stuart Siegel, Sumanta Mukherjee, Vijay Ekambaram, Wesley M. Gifford","submitted_at":"2022-11-28T06:37:15Z","abstract_excerpt":"Selecting the right set of hyperparameters is crucial in time series forecasting. The classical temporal cross-validation framework for hyperparameter optimization (HPO) often leads to poor test performance because of a possible mismatch between validation and test periods. To address this test-validation mismatch, we propose a novel technique, H-Pro to drive HPO via test proxies by exploiting data hierarchies often associated with time series datasets. Since higher-level aggregated time series often show less irregularity and better predictability as compared to the lowest-level time series w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15092","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/2211.15092/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":"2026-07-05T07:08:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ljM8x6naY+0PR8iwFY8ure6wBiPNOyE3FLBiv3HerSE+4Da8mftPJiOF6P8p3sWCBsrslvA9kxMfocUv5SIvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:55:25.006686Z"},"content_sha256":"33e28efee821c893f0a948d4b1be373f6a8a76efbf92bdfa45dd5ac1fb13d6fa","schema_version":"1.0","event_id":"sha256:33e28efee821c893f0a948d4b1be373f6a8a76efbf92bdfa45dd5ac1fb13d6fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/bundle.json","state_url":"https://pith.science/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/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":"2026-08-03T17:55:25Z","links":{"resolver":"https://pith.science/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3","bundle":"https://pith.science/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/bundle.json","state":"https://pith.science/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6HPOEQNT5A4GBJM6BHV6XFEQJ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6HPOEQNT5A4GBJM6BHV6XFEQJ3","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":"6845efa74719c46af06743403412b977b9067ca3e981d1fbec03dcdf138d668d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-28T06:37:15Z","title_canon_sha256":"5ab88a7d39e77eff7902b9f63e9ad365993139db5be5658e87e82c9f32f9bfa4"},"schema_version":"1.0","source":{"id":"2211.15092","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.15092","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.15092v2","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15092","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_12","alias_value":"6HPOEQNT5A4G","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_16","alias_value":"6HPOEQNT5A4GBJM6","created_at":"2026-07-05T07:08:04Z"},{"alias_kind":"pith_short_8","alias_value":"6HPOEQNT","created_at":"2026-07-05T07:08:04Z"}],"graph_snapshots":[{"event_id":"sha256:33e28efee821c893f0a948d4b1be373f6a8a76efbf92bdfa45dd5ac1fb13d6fa","target":"graph","created_at":"2026-07-05T07:08:04Z","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/2211.15092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Selecting the right set of hyperparameters is crucial in time series forecasting. The classical temporal cross-validation framework for hyperparameter optimization (HPO) often leads to poor test performance because of a possible mismatch between validation and test periods. To address this test-validation mismatch, we propose a novel technique, H-Pro to drive HPO via test proxies by exploiting data hierarchies often associated with time series datasets. Since higher-level aggregated time series often show less irregularity and better predictability as compared to the lowest-level time series w","authors_text":"Arindam Jati, Brian Quanz, Chandra Narayanaswami, Pavithra Harsha, Shaonli Pal, Stuart Siegel, Sumanta Mukherjee, Vijay Ekambaram, Wesley M. Gifford","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-28T06:37:15Z","title":"Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15092","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:d12f3b39aeba4afed9f32ccbff856897eb6f7391475d099b1281774b776f0701","target":"record","created_at":"2026-07-05T07:08:04Z","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":"6845efa74719c46af06743403412b977b9067ca3e981d1fbec03dcdf138d668d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-28T06:37:15Z","title_canon_sha256":"5ab88a7d39e77eff7902b9f63e9ad365993139db5be5658e87e82c9f32f9bfa4"},"schema_version":"1.0","source":{"id":"2211.15092","kind":"arxiv","version":2}},"canonical_sha256":"f1dee241b3e83860a59e09ebeb94904ecdc1c767acf5d2a7121f979514401dbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1dee241b3e83860a59e09ebeb94904ecdc1c767acf5d2a7121f979514401dbb","first_computed_at":"2026-07-05T07:08:04.503818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:04.503818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"83rTGIAJyM62zsiDimqAl6PV7CEanXYWb4tZ49ChF2+irz/eIfCTGUa4G1L/qyS80HiNKn1TNH6TKpPffvu5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:04.504260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.15092","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d12f3b39aeba4afed9f32ccbff856897eb6f7391475d099b1281774b776f0701","sha256:33e28efee821c893f0a948d4b1be373f6a8a76efbf92bdfa45dd5ac1fb13d6fa"],"state_sha256":"76c69f202e128e0371983dd75a9f7bc2f6a0f0b4e97b08fba2cf01f6a097a1d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cBl1CXgd0GcnUNsJFOGCJHsbKCY6cUQ/j89oAIutuzsKMoIvc7eYApuIll5nRd8DvAG6UovmgKqI6Z7ecvK9CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:55:25.013168Z","bundle_sha256":"5b1d877789aaae6765079b8c3b5bd2248fd512bdf8b9a0c440967f052f16dc79"}}