{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GOIVZFBNA6VVYWNE7WMCQDG7LU","short_pith_number":"pith:GOIVZFBN","canonical_record":{"source":{"id":"2206.12626","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-25T11:31:30Z","cross_cats_sorted":[],"title_canon_sha256":"7db10cd4ce3d7689eb7542ae514f2461dd0e46e3dedb0b0fe871128d97621b08","abstract_canon_sha256":"e7a9894806f71d07b2002f26b8be16901721690bca71beebc2d9183fdeb357be"},"schema_version":"1.0"},"canonical_sha256":"33915c942d07ab5c59a4fd98280cdf5d369fa86f3d35ea5b694e7d4f1981fd44","source":{"kind":"arxiv","id":"2206.12626","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12626","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12626v1","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12626","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"GOIVZFBNA6VV","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_16","alias_value":"GOIVZFBNA6VVYWNE","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_8","alias_value":"GOIVZFBN","created_at":"2026-07-05T04:34:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GOIVZFBNA6VVYWNE7WMCQDG7LU","target":"record","payload":{"canonical_record":{"source":{"id":"2206.12626","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-25T11:31:30Z","cross_cats_sorted":[],"title_canon_sha256":"7db10cd4ce3d7689eb7542ae514f2461dd0e46e3dedb0b0fe871128d97621b08","abstract_canon_sha256":"e7a9894806f71d07b2002f26b8be16901721690bca71beebc2d9183fdeb357be"},"schema_version":"1.0"},"canonical_sha256":"33915c942d07ab5c59a4fd98280cdf5d369fa86f3d35ea5b694e7d4f1981fd44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:34:57.207726Z","signature_b64":"XgbjYdFgllcMzyZG2vWQJdut793z7c54vFdTxaozY37GbIAw1HjO1unTAMlD8q9uRx7NNHYclSnV/KSTXLX/Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33915c942d07ab5c59a4fd98280cdf5d369fa86f3d35ea5b694e7d4f1981fd44","last_reissued_at":"2026-07-05T04:34:57.207375Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:34:57.207375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.12626","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":"2026-07-05T04:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zxOUq+GKOub1h+H1BVW0hYNtmcxQ7U9rHCUKf3aC3rUyNEuTuCFeaPyVgKaHzkAlpqwroCapcmv42EzhyksxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:10:41.576851Z"},"content_sha256":"1af29c778646cf21a15c38ce1eb698339b7559d16d651b090ca19c297e3e6a48","schema_version":"1.0","event_id":"sha256:1af29c778646cf21a15c38ce1eb698339b7559d16d651b090ca19c297e3e6a48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GOIVZFBNA6VVYWNE7WMCQDG7LU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Variate Time Series Forecasting on Variable Subsets","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aravindan Raghuveer, Balaraman Ravindran, Jatin Chauhan, Jay Nandy, Rishi Saket","submitted_at":"2022-06-25T11:31:30Z","abstract_excerpt":"We formulate a new inference task in the domain of multivariate time series forecasting (MTSF), called Variable Subset Forecast (VSF), where only a small subset of the variables is available during inference. Variables are absent during inference because of long-term data loss (eg. sensor failures) or high -> low-resource domain shift between train / test. To the best of our knowledge, robustness of MTSF models in presence of such failures, has not been studied in the literature. Through extensive evaluation, we first show that the performance of state of the art methods degrade significantly "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12626","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/2206.12626/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":"2026-07-05T04:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jrTizsKls2FcP/vWNzi18EkxEKnr1zI3pepjaBCqvcSGb/4O6myekdrN5MfO8TZCosCYc3lfqPwVAXZxFxcFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:10:41.577215Z"},"content_sha256":"7539e803757ca7c66d17b4aae884d1dcb9e778bd424478e834555217f804d955","schema_version":"1.0","event_id":"sha256:7539e803757ca7c66d17b4aae884d1dcb9e778bd424478e834555217f804d955"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/bundle.json","state_url":"https://pith.science/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/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":"2026-07-07T11:10:41Z","links":{"resolver":"https://pith.science/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU","bundle":"https://pith.science/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/bundle.json","state":"https://pith.science/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GOIVZFBNA6VVYWNE7WMCQDG7LU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GOIVZFBNA6VVYWNE7WMCQDG7LU","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":"e7a9894806f71d07b2002f26b8be16901721690bca71beebc2d9183fdeb357be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-25T11:31:30Z","title_canon_sha256":"7db10cd4ce3d7689eb7542ae514f2461dd0e46e3dedb0b0fe871128d97621b08"},"schema_version":"1.0","source":{"id":"2206.12626","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12626","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12626v1","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12626","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"GOIVZFBNA6VV","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_16","alias_value":"GOIVZFBNA6VVYWNE","created_at":"2026-07-05T04:34:57Z"},{"alias_kind":"pith_short_8","alias_value":"GOIVZFBN","created_at":"2026-07-05T04:34:57Z"}],"graph_snapshots":[{"event_id":"sha256:7539e803757ca7c66d17b4aae884d1dcb9e778bd424478e834555217f804d955","target":"graph","created_at":"2026-07-05T04:34:57Z","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/2206.12626/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We formulate a new inference task in the domain of multivariate time series forecasting (MTSF), called Variable Subset Forecast (VSF), where only a small subset of the variables is available during inference. Variables are absent during inference because of long-term data loss (eg. sensor failures) or high -> low-resource domain shift between train / test. To the best of our knowledge, robustness of MTSF models in presence of such failures, has not been studied in the literature. Through extensive evaluation, we first show that the performance of state of the art methods degrade significantly ","authors_text":"Aravindan Raghuveer, Balaraman Ravindran, Jatin Chauhan, Jay Nandy, Rishi Saket","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-25T11:31:30Z","title":"Multi-Variate Time Series Forecasting on Variable Subsets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12626","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":"sha256:1af29c778646cf21a15c38ce1eb698339b7559d16d651b090ca19c297e3e6a48","target":"record","created_at":"2026-07-05T04:34:57Z","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":"e7a9894806f71d07b2002f26b8be16901721690bca71beebc2d9183fdeb357be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-25T11:31:30Z","title_canon_sha256":"7db10cd4ce3d7689eb7542ae514f2461dd0e46e3dedb0b0fe871128d97621b08"},"schema_version":"1.0","source":{"id":"2206.12626","kind":"arxiv","version":1}},"canonical_sha256":"33915c942d07ab5c59a4fd98280cdf5d369fa86f3d35ea5b694e7d4f1981fd44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33915c942d07ab5c59a4fd98280cdf5d369fa86f3d35ea5b694e7d4f1981fd44","first_computed_at":"2026-07-05T04:34:57.207375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:34:57.207375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XgbjYdFgllcMzyZG2vWQJdut793z7c54vFdTxaozY37GbIAw1HjO1unTAMlD8q9uRx7NNHYclSnV/KSTXLX/Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:34:57.207726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.12626","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1af29c778646cf21a15c38ce1eb698339b7559d16d651b090ca19c297e3e6a48","sha256:7539e803757ca7c66d17b4aae884d1dcb9e778bd424478e834555217f804d955"],"state_sha256":"1cbb484a2febcc0c00b0314006ff8b1a128d1870815e867a7b6e5bf9b436ad0e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J7u5H4w9eqyMMzgSUe1wBYdSKuBUtHGa7o+lQhEhB0+EgmXWLhEP933TMgFFk+QACrdZm/MpZcDEG78wpOUKDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:10:41.579160Z","bundle_sha256":"6f3899e1d08d5309eeb409a4990c8aec1face9cfb431d7970c00bd3381625035"}}