{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:STP6HP2GRG3XBOMNPMMBUYUPQA","short_pith_number":"pith:STP6HP2G","canonical_record":{"source":{"id":"2606.02138","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:05:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b377c9be326d8ff9285b1abfe31ee8d6cabe4020527445d024d9359abecf72dc","abstract_canon_sha256":"d79c2f808dd380f45d1e9be8ae9c9043f09dfa1ecda93ece7cae194730304746"},"schema_version":"1.0"},"canonical_sha256":"94dfe3bf4689b770b98d7b181a628f801d6143aa4467e40e01224a4969583e66","source":{"kind":"arxiv","id":"2606.02138","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02138","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02138v1","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02138","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_12","alias_value":"STP6HP2GRG3X","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_16","alias_value":"STP6HP2GRG3XBOMN","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_8","alias_value":"STP6HP2G","created_at":"2026-06-02T02:05:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:STP6HP2GRG3XBOMNPMMBUYUPQA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.02138","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:05:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b377c9be326d8ff9285b1abfe31ee8d6cabe4020527445d024d9359abecf72dc","abstract_canon_sha256":"d79c2f808dd380f45d1e9be8ae9c9043f09dfa1ecda93ece7cae194730304746"},"schema_version":"1.0"},"canonical_sha256":"94dfe3bf4689b770b98d7b181a628f801d6143aa4467e40e01224a4969583e66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:05:07.513029Z","signature_b64":"pLDb30dMAhdhJNsPun6NjA6hKWb6ezu/xjfJEemqSLoKBZYrWuZ6iraUeWzxb2oVyQEMjMFSeTsSWP+e6vJ8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94dfe3bf4689b770b98d7b181a628f801d6143aa4467e40e01224a4969583e66","last_reissued_at":"2026-06-02T02:05:07.512682Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:05:07.512682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.02138","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":"2026-06-02T02:05:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X1L/5NYBvRJvpgtMvj+lrY+9vQwZXxK5l4iPvb13JOKlxJR7qzj/acCsdNrd92uiuR0wYrMTStDxLg5AYDF3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T18:24:47.604199Z"},"content_sha256":"f1a9ae0ebb62b7d9ba168f39e3fbc2c4275b01036c4e4a4517db4c7d42d63706","schema_version":"1.0","event_id":"sha256:f1a9ae0ebb62b7d9ba168f39e3fbc2c4275b01036c4e4a4517db4c7d42d63706"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:STP6HP2GRG3XBOMNPMMBUYUPQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Haina Tang, Jiacheng Li, Jian Cui, Jierui Lei, Lingdong Shen, Xudong Zhang","submitted_at":"2026-06-01T12:05:57Z","abstract_excerpt":"Out of distribution (OOD) events in multivariate time series forecasting are rare but often dominate real world risk, making average case forecasting insufficient for reliable deployment. Under standard average risk training on mixed ID/OOD distributions, optimization signals from rare OOD events can be overwhelmed by frequent in distribution (ID) patterns, so strong benchmark accuracy may not translate into reliability under high impact shifts. To address this issue, we propose VLBM (Variational Latent Basis Model), a theory guided latent forecasting framework that separates stable dynamics f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02138","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/2606.02138/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":"2026-06-02T02:05:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QIpdMShazHw2L+mUyRlI4PPNE++gwRNDABfZwluoIQ5iLmkvhfgaOjIVPia0qLg8BzVEIm2EVtdLPHr19ig5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T18:24:47.604939Z"},"content_sha256":"b6616db3a5a77860b8c891b20ff635b5bc91822679035d89d7d21b67efa58e24","schema_version":"1.0","event_id":"sha256:b6616db3a5a77860b8c891b20ff635b5bc91822679035d89d7d21b67efa58e24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/bundle.json","state_url":"https://pith.science/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/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":"2026-06-08T18:24:47Z","links":{"resolver":"https://pith.science/pith/STP6HP2GRG3XBOMNPMMBUYUPQA","bundle":"https://pith.science/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/bundle.json","state":"https://pith.science/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/STP6HP2GRG3XBOMNPMMBUYUPQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:STP6HP2GRG3XBOMNPMMBUYUPQA","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":"d79c2f808dd380f45d1e9be8ae9c9043f09dfa1ecda93ece7cae194730304746","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:05:57Z","title_canon_sha256":"b377c9be326d8ff9285b1abfe31ee8d6cabe4020527445d024d9359abecf72dc"},"schema_version":"1.0","source":{"id":"2606.02138","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02138","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02138v1","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02138","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_12","alias_value":"STP6HP2GRG3X","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_16","alias_value":"STP6HP2GRG3XBOMN","created_at":"2026-06-02T02:05:07Z"},{"alias_kind":"pith_short_8","alias_value":"STP6HP2G","created_at":"2026-06-02T02:05:07Z"}],"graph_snapshots":[{"event_id":"sha256:b6616db3a5a77860b8c891b20ff635b5bc91822679035d89d7d21b67efa58e24","target":"graph","created_at":"2026-06-02T02:05:07Z","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/2606.02138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Out of distribution (OOD) events in multivariate time series forecasting are rare but often dominate real world risk, making average case forecasting insufficient for reliable deployment. Under standard average risk training on mixed ID/OOD distributions, optimization signals from rare OOD events can be overwhelmed by frequent in distribution (ID) patterns, so strong benchmark accuracy may not translate into reliability under high impact shifts. To address this issue, we propose VLBM (Variational Latent Basis Model), a theory guided latent forecasting framework that separates stable dynamics f","authors_text":"Haina Tang, Jiacheng Li, Jian Cui, Jierui Lei, Lingdong Shen, Xudong Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:05:57Z","title":"VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02138","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:f1a9ae0ebb62b7d9ba168f39e3fbc2c4275b01036c4e4a4517db4c7d42d63706","target":"record","created_at":"2026-06-02T02:05:07Z","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":"d79c2f808dd380f45d1e9be8ae9c9043f09dfa1ecda93ece7cae194730304746","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:05:57Z","title_canon_sha256":"b377c9be326d8ff9285b1abfe31ee8d6cabe4020527445d024d9359abecf72dc"},"schema_version":"1.0","source":{"id":"2606.02138","kind":"arxiv","version":1}},"canonical_sha256":"94dfe3bf4689b770b98d7b181a628f801d6143aa4467e40e01224a4969583e66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94dfe3bf4689b770b98d7b181a628f801d6143aa4467e40e01224a4969583e66","first_computed_at":"2026-06-02T02:05:07.512682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:05:07.512682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pLDb30dMAhdhJNsPun6NjA6hKWb6ezu/xjfJEemqSLoKBZYrWuZ6iraUeWzxb2oVyQEMjMFSeTsSWP+e6vJ8DQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:05:07.513029Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02138","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1a9ae0ebb62b7d9ba168f39e3fbc2c4275b01036c4e4a4517db4c7d42d63706","sha256:b6616db3a5a77860b8c891b20ff635b5bc91822679035d89d7d21b67efa58e24"],"state_sha256":"ac1377187ad423b6be88c85ee413fde5fa57403ea75dfac8f45ebfd01dcb1062"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nK6CcCEpbEkhXDtS/pFOiuPS16y5NNNFbHfCAThw0nTSQUGAnOhxw+3HBFf3n74hIwHygWpNAqoJ7iGfuiIECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T18:24:47.608873Z","bundle_sha256":"f0be93938b0183c7af300011f5c83640bbcf4930ccd152240e7dda14bbcc699c"}}