{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3CEXDQWYF3RE67GR72WX23DVTD","short_pith_number":"pith:3CEXDQWY","canonical_record":{"source":{"id":"1811.00074","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-31T19:23:23Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"07456046c34812017dcc15ed7cde94651a2f918334a2bd0baa012b3c144c9c94","abstract_canon_sha256":"6cd7e70244f98740c99c046795c74b5b0c7b516980abf2286b633594eaeae247"},"schema_version":"1.0"},"canonical_sha256":"d88971c2d82ee24f7cd1fead7d6c7598c6da639937af4c6e2fd4459f8331f0df","source":{"kind":"arxiv","id":"1811.00074","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.00074","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"1811.00074v1","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.00074","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"3CEXDQWYF3RE","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3CEXDQWYF3RE67GR","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3CEXDQWY","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3CEXDQWYF3RE67GR72WX23DVTD","target":"record","payload":{"canonical_record":{"source":{"id":"1811.00074","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-31T19:23:23Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"07456046c34812017dcc15ed7cde94651a2f918334a2bd0baa012b3c144c9c94","abstract_canon_sha256":"6cd7e70244f98740c99c046795c74b5b0c7b516980abf2286b633594eaeae247"},"schema_version":"1.0"},"canonical_sha256":"d88971c2d82ee24f7cd1fead7d6c7598c6da639937af4c6e2fd4459f8331f0df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:46.830880Z","signature_b64":"Odkja0JROVjYu2lRHbHyV0MjtJztTvljG5M+GoYiEccURaTN5we4jerbUSUOEdxp63GaWPHI4Z1K0M0o07iZAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d88971c2d82ee24f7cd1fead7d6c7598c6da639937af4c6e2fd4459f8331f0df","last_reissued_at":"2026-05-18T00:01:46.830308Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:46.830308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.00074","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":"2026-05-18T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MYhfdkykcq5zlBvCCGsLh3EoRl1gsNIxUITRFM+4GdizGp2BGFcckpchZu1Dt1ukHVVKeAtNOB+BWLeNjYEQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T02:20:37.146960Z"},"content_sha256":"f7f0ae83772d08161307a2f7318f89af1a67be1412d3af73492494ab2046c83a","schema_version":"1.0","event_id":"sha256:f7f0ae83772d08161307a2f7318f89af1a67be1412d3af73492494ab2046c83a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3CEXDQWYF3RE67GR72WX23DVTD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Collection of Connected Vehicles Data with Precision Guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"stat.AP","authors_text":"Hadi Meidani, Negin Alemazkoor","submitted_at":"2018-10-31T19:23:23Z","abstract_excerpt":"Connected vehicles disseminate detailed data, including their position and speed, at a very high frequency. Such data can be used for accurate real-time analysis, prediction and control of transportation systems. The outstanding challenge for such analysis is how to continuously collect and process extremely large volumes of data. To address this challenge, efficient collection of data is critical to prevent overburdening the communication systems and overreaching computational and memory capacity. In this work, we propose an efficient data collection scheme that selects and transmits only a s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.00074","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":""},"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":"2026-05-18T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9sZYgSKQw7dFEykHN+GXI0umBqt5ulKb3erO4GUcThBCVQzTk9FTaomiAMLs7ReSCerbSKQjFK1htWBbq3b5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T02:20:37.147640Z"},"content_sha256":"fb81c83276ea3a1e86de40bd12ab198735e2b1acfdceee3facae6b70b2ee147e","schema_version":"1.0","event_id":"sha256:fb81c83276ea3a1e86de40bd12ab198735e2b1acfdceee3facae6b70b2ee147e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CEXDQWYF3RE67GR72WX23DVTD/bundle.json","state_url":"https://pith.science/pith/3CEXDQWYF3RE67GR72WX23DVTD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CEXDQWYF3RE67GR72WX23DVTD/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":"2026-05-22T02:20:37Z","links":{"resolver":"https://pith.science/pith/3CEXDQWYF3RE67GR72WX23DVTD","bundle":"https://pith.science/pith/3CEXDQWYF3RE67GR72WX23DVTD/bundle.json","state":"https://pith.science/pith/3CEXDQWYF3RE67GR72WX23DVTD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CEXDQWYF3RE67GR72WX23DVTD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3CEXDQWYF3RE67GR72WX23DVTD","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":"6cd7e70244f98740c99c046795c74b5b0c7b516980abf2286b633594eaeae247","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-31T19:23:23Z","title_canon_sha256":"07456046c34812017dcc15ed7cde94651a2f918334a2bd0baa012b3c144c9c94"},"schema_version":"1.0","source":{"id":"1811.00074","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.00074","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"1811.00074v1","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.00074","created_at":"2026-05-18T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"3CEXDQWYF3RE","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3CEXDQWYF3RE67GR","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3CEXDQWY","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:fb81c83276ea3a1e86de40bd12ab198735e2b1acfdceee3facae6b70b2ee147e","target":"graph","created_at":"2026-05-18T00:01:46Z","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"},"paper":{"abstract_excerpt":"Connected vehicles disseminate detailed data, including their position and speed, at a very high frequency. Such data can be used for accurate real-time analysis, prediction and control of transportation systems. The outstanding challenge for such analysis is how to continuously collect and process extremely large volumes of data. To address this challenge, efficient collection of data is critical to prevent overburdening the communication systems and overreaching computational and memory capacity. In this work, we propose an efficient data collection scheme that selects and transmits only a s","authors_text":"Hadi Meidani, Negin Alemazkoor","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-31T19:23:23Z","title":"Efficient Collection of Connected Vehicles Data with Precision Guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.00074","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:f7f0ae83772d08161307a2f7318f89af1a67be1412d3af73492494ab2046c83a","target":"record","created_at":"2026-05-18T00:01:46Z","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":"6cd7e70244f98740c99c046795c74b5b0c7b516980abf2286b633594eaeae247","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-31T19:23:23Z","title_canon_sha256":"07456046c34812017dcc15ed7cde94651a2f918334a2bd0baa012b3c144c9c94"},"schema_version":"1.0","source":{"id":"1811.00074","kind":"arxiv","version":1}},"canonical_sha256":"d88971c2d82ee24f7cd1fead7d6c7598c6da639937af4c6e2fd4459f8331f0df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d88971c2d82ee24f7cd1fead7d6c7598c6da639937af4c6e2fd4459f8331f0df","first_computed_at":"2026-05-18T00:01:46.830308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:46.830308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Odkja0JROVjYu2lRHbHyV0MjtJztTvljG5M+GoYiEccURaTN5we4jerbUSUOEdxp63GaWPHI4Z1K0M0o07iZAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:46.830880Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.00074","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7f0ae83772d08161307a2f7318f89af1a67be1412d3af73492494ab2046c83a","sha256:fb81c83276ea3a1e86de40bd12ab198735e2b1acfdceee3facae6b70b2ee147e"],"state_sha256":"97c7c79b16f3e35922d0c7bd169a6913bd2bb3d66e061c709ae129f2030717b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jGuVvqVDU/ta63JRWnFcFe+f8+7oBCNONFys25UJkCRx7kJhCQG+uW/gl9zPNqKPh0P2FDjalDMJuJ32UoH0Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T02:20:37.151280Z","bundle_sha256":"5aa81cd44a3a2f765e1dd376a85ab38d77122b2c1a5776411ec44cbd2f397e05"}}