{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:E7I3SIHVRNNE2XHYDYIUUFPSV5","short_pith_number":"pith:E7I3SIHV","canonical_record":{"source":{"id":"2104.14936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-30T12:00:57Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"1c638d0ada8a92a81d1ff6a36b0a47bba9375935cdedb53d6b63804c30784ec9","abstract_canon_sha256":"87d1705cc5bc9b151c886874197d90f6e8758a422f0be87a95a17dc0427ffc0b"},"schema_version":"1.0"},"canonical_sha256":"27d1b920f58b5a4d5cf81e114a15f2af68044898be96d9a5a99f581e62a4032e","source":{"kind":"arxiv","id":"2104.14936","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.14936","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"arxiv_version","alias_value":"2104.14936v1","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.14936","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_12","alias_value":"E7I3SIHVRNNE","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_16","alias_value":"E7I3SIHVRNNE2XHY","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_8","alias_value":"E7I3SIHV","created_at":"2026-07-05T05:33:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:E7I3SIHVRNNE2XHYDYIUUFPSV5","target":"record","payload":{"canonical_record":{"source":{"id":"2104.14936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-30T12:00:57Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"1c638d0ada8a92a81d1ff6a36b0a47bba9375935cdedb53d6b63804c30784ec9","abstract_canon_sha256":"87d1705cc5bc9b151c886874197d90f6e8758a422f0be87a95a17dc0427ffc0b"},"schema_version":"1.0"},"canonical_sha256":"27d1b920f58b5a4d5cf81e114a15f2af68044898be96d9a5a99f581e62a4032e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:33:05.275842Z","signature_b64":"5EJ7LeG8Rc7+2dtNg3V4exsDeKNaVvCBLwkLNPnJoo8bjSOa9fe33hiLghSKBlSNOmDnPrRH+p/q6jEyM9wLAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27d1b920f58b5a4d5cf81e114a15f2af68044898be96d9a5a99f581e62a4032e","last_reissued_at":"2026-07-05T05:33:05.275304Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:33:05.275304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.14936","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":"2026-07-05T05:33:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GkhopZXl+cWSdO/YHIv3tTirm9fegG+z3Z7A03pAtSY3uDzZRTSJCVztn4oIhz1qYdZlUu6HOuTbpH2UV22EBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:50:53.954687Z"},"content_sha256":"2bccc101122b0c18941d6e80aaf795ab62d2208d78aa2f1543d04138f9745798","schema_version":"1.0","event_id":"sha256:2bccc101122b0c18941d6e80aaf795ab62d2208d78aa2f1543d04138f9745798"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:E7I3SIHVRNNE2XHYDYIUUFPSV5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Lijun Sun, Mengying Lei, Nicolas Saunier, Xinyu Chen","submitted_at":"2021-04-30T12:00:57Z","abstract_excerpt":"Spatiotemporal traffic time series (e.g., traffic volume/speed) collected from sensing systems are often incomplete with considerable corruption and large amounts of missing values, preventing users from harnessing the full power of the data. Missing data imputation has been a long-standing research topic and critical application for real-world intelligent transportation systems. A widely applied imputation method is low-rank matrix/tensor completion; however, the low-rank assumption only preserves the global structure while ignores the strong local consistency in spatiotemporal data. In this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.14936","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/2104.14936/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":"2026-07-05T05:33:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7c7doGAG5adC7oEAEawb26M+Lydz+IZGSpNkqRqe5juG4nM9GunJMJFcarup37Ud8WtIAZOWc8b/WbMFj6DRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:50:53.955199Z"},"content_sha256":"c321cbd9d52b80469b6fd1be8719fec4978b599a94f79d1346f4c6124862ac83","schema_version":"1.0","event_id":"sha256:c321cbd9d52b80469b6fd1be8719fec4978b599a94f79d1346f4c6124862ac83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/bundle.json","state_url":"https://pith.science/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/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":"2026-08-03T17:50:53Z","links":{"resolver":"https://pith.science/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5","bundle":"https://pith.science/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/bundle.json","state":"https://pith.science/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7I3SIHVRNNE2XHYDYIUUFPSV5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:E7I3SIHVRNNE2XHYDYIUUFPSV5","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":"87d1705cc5bc9b151c886874197d90f6e8758a422f0be87a95a17dc0427ffc0b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-30T12:00:57Z","title_canon_sha256":"1c638d0ada8a92a81d1ff6a36b0a47bba9375935cdedb53d6b63804c30784ec9"},"schema_version":"1.0","source":{"id":"2104.14936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.14936","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"arxiv_version","alias_value":"2104.14936v1","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.14936","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_12","alias_value":"E7I3SIHVRNNE","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_16","alias_value":"E7I3SIHVRNNE2XHY","created_at":"2026-07-05T05:33:05Z"},{"alias_kind":"pith_short_8","alias_value":"E7I3SIHV","created_at":"2026-07-05T05:33:05Z"}],"graph_snapshots":[{"event_id":"sha256:c321cbd9d52b80469b6fd1be8719fec4978b599a94f79d1346f4c6124862ac83","target":"graph","created_at":"2026-07-05T05:33:05Z","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/2104.14936/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatiotemporal traffic time series (e.g., traffic volume/speed) collected from sensing systems are often incomplete with considerable corruption and large amounts of missing values, preventing users from harnessing the full power of the data. Missing data imputation has been a long-standing research topic and critical application for real-world intelligent transportation systems. A widely applied imputation method is low-rank matrix/tensor completion; however, the low-rank assumption only preserves the global structure while ignores the strong local consistency in spatiotemporal data. In this ","authors_text":"Lijun Sun, Mengying Lei, Nicolas Saunier, Xinyu Chen","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-30T12:00:57Z","title":"Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.14936","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":"sha256:2bccc101122b0c18941d6e80aaf795ab62d2208d78aa2f1543d04138f9745798","target":"record","created_at":"2026-07-05T05:33:05Z","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":"87d1705cc5bc9b151c886874197d90f6e8758a422f0be87a95a17dc0427ffc0b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-30T12:00:57Z","title_canon_sha256":"1c638d0ada8a92a81d1ff6a36b0a47bba9375935cdedb53d6b63804c30784ec9"},"schema_version":"1.0","source":{"id":"2104.14936","kind":"arxiv","version":1}},"canonical_sha256":"27d1b920f58b5a4d5cf81e114a15f2af68044898be96d9a5a99f581e62a4032e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27d1b920f58b5a4d5cf81e114a15f2af68044898be96d9a5a99f581e62a4032e","first_computed_at":"2026-07-05T05:33:05.275304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:05.275304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5EJ7LeG8Rc7+2dtNg3V4exsDeKNaVvCBLwkLNPnJoo8bjSOa9fe33hiLghSKBlSNOmDnPrRH+p/q6jEyM9wLAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:05.275842Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.14936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2bccc101122b0c18941d6e80aaf795ab62d2208d78aa2f1543d04138f9745798","sha256:c321cbd9d52b80469b6fd1be8719fec4978b599a94f79d1346f4c6124862ac83"],"state_sha256":"8d065793cef778e37dde834d5601aa5325969166dd8748e34bd6701cca4a14a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UV4pvkvabvoHqvWOb+FipMN0MmDJS53Wi/mOSYP6bmWdRYdMiMxQZl8yaHv9Msh6wq++zmB3oTpPuAYeK+7fBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:50:53.959940Z","bundle_sha256":"5e52435206b2293d73c6e9291a857714e15d47fe8eef030dec2852e10d68812a"}}