{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HKJDXYQHHN66BW7P7BDVV4PTEB","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":"563594ebaed43c5ce89184d10071188b993ff7ac787839943661be9db454e4ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-21T16:26:09Z","title_canon_sha256":"c267ef8027104ccb4965bb5f5d211296e53a0376b72769ccf38b62634cd98122"},"schema_version":"1.0","source":{"id":"2605.22684","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22684","created_at":"2026-05-22T02:04:50Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22684v1","created_at":"2026-05-22T02:04:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22684","created_at":"2026-05-22T02:04:50Z"},{"alias_kind":"pith_short_12","alias_value":"HKJDXYQHHN66","created_at":"2026-05-22T02:04:50Z"},{"alias_kind":"pith_short_16","alias_value":"HKJDXYQHHN66BW7P","created_at":"2026-05-22T02:04:50Z"},{"alias_kind":"pith_short_8","alias_value":"HKJDXYQH","created_at":"2026-05-22T02:04:50Z"}],"graph_snapshots":[{"event_id":"sha256:f84b13e5dbc427116ae1f0e78e79ef1b36c0bff924dc28c83c6148dd3b12543a","target":"graph","created_at":"2026-05-22T02:04:50Z","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/2605.22684/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Time Series Foundation Models (TSFMs) have become a new component of the state-of-the-art in general time series forecasting. However, adapting them to specialized classification tasks remains constrained by two interconnected challenges: the quadratic cost of standard attention mechanisms and the inability to disentangle the structural components underlying time series variability. This technical report introduces ChronoVAE-HOPE, a next-generation TSFM that reconciles massive generalization with structured latent representation for time series classification. The core of the proposal is a Var","authors_text":"Antonio Arauzo-Azofra, Jos\\'e Alberto Rodr\\'iguez, Jos\\'e M. Ben\\'itez, Luis Balderas, Miguel Lastra","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-21T16:26:09Z","title":"ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22684","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:e5668779484496efff2bcdf3d794b0afbefd2f569563cf94d191c118ba8b2ea3","target":"record","created_at":"2026-05-22T02:04:50Z","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":"563594ebaed43c5ce89184d10071188b993ff7ac787839943661be9db454e4ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-21T16:26:09Z","title_canon_sha256":"c267ef8027104ccb4965bb5f5d211296e53a0376b72769ccf38b62634cd98122"},"schema_version":"1.0","source":{"id":"2605.22684","kind":"arxiv","version":1}},"canonical_sha256":"3a923be2073b7de0dbeff8475af1f32045a0f1d6279118776e8b009491f8bb69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a923be2073b7de0dbeff8475af1f32045a0f1d6279118776e8b009491f8bb69","first_computed_at":"2026-05-22T02:04:50.167540Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T02:04:50.167540Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FtdX6iDV4YRIZFPK3ysg8FUa7AmmVxNEp+Ec/PhduKkdVXlmvbQ+iJstANpUmo0YFT31Cxc6I4ixqrUSGOs8Dw==","signature_status":"signed_v1","signed_at":"2026-05-22T02:04:50.168340Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22684","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5668779484496efff2bcdf3d794b0afbefd2f569563cf94d191c118ba8b2ea3","sha256:f84b13e5dbc427116ae1f0e78e79ef1b36c0bff924dc28c83c6148dd3b12543a"],"state_sha256":"853ff672a0a248121baa65f7e86febe4b82ac230b7f7d97d933ff00b00b6d540"}