{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:UUYTTTGH35FHKS3SM2MCOMRD6X","short_pith_number":"pith:UUYTTTGH","canonical_record":{"source":{"id":"1805.04925","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-13T18:42:59Z","cross_cats_sorted":[],"title_canon_sha256":"84fd7ba9d294d4334bd476e3a6de642ad6e80a18e08ee92f40918f8958f4e5ca","abstract_canon_sha256":"a325f3899462b0dc891543f1f970c222e42e516b0deb91ec02d2c74c5df21868"},"schema_version":"1.0"},"canonical_sha256":"a53139ccc7df4a754b726698273223f5e44fa03cab8f2adf61ea04a1989c9933","source":{"kind":"arxiv","id":"1805.04925","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.04925","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"arxiv_version","alias_value":"1805.04925v1","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.04925","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"pith_short_12","alias_value":"UUYTTTGH35FH","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UUYTTTGH35FHKS3S","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UUYTTTGH","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:UUYTTTGH35FHKS3SM2MCOMRD6X","target":"record","payload":{"canonical_record":{"source":{"id":"1805.04925","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-13T18:42:59Z","cross_cats_sorted":[],"title_canon_sha256":"84fd7ba9d294d4334bd476e3a6de642ad6e80a18e08ee92f40918f8958f4e5ca","abstract_canon_sha256":"a325f3899462b0dc891543f1f970c222e42e516b0deb91ec02d2c74c5df21868"},"schema_version":"1.0"},"canonical_sha256":"a53139ccc7df4a754b726698273223f5e44fa03cab8f2adf61ea04a1989c9933","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:04.301963Z","signature_b64":"KzvH1FWWBYUYmbDyZwReTJ/IJFxWx/43QUVRO3seRX3mfj7DWJBm0Oe6qvLosM3cQhkdxd71NMfkhu/5+mXWDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a53139ccc7df4a754b726698273223f5e44fa03cab8f2adf61ea04a1989c9933","last_reissued_at":"2026-05-18T00:16:04.301601Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:04.301601Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.04925","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":"2026-05-18T00:16:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rEQgAr2950NP7bKV2ch3S/RDKyccBmY3fQeQCBQ0dv6R1+YL2TyMKPF1gu31R18Jia6XqVyA9Nhtrlw+Y/WYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:06:25.236774Z"},"content_sha256":"384d07b30ea83f0a21865bb1450dc5e542612b4f576802bb38f1927d7f48865b","schema_version":"1.0","event_id":"sha256:384d07b30ea83f0a21865bb1450dc5e542612b4f576802bb38f1927d7f48865b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:UUYTTTGH35FHKS3SM2MCOMRD6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ding Zhao, Jiacheng Zhu, Wenshuo Wang","submitted_at":"2018-05-13T18:42:59Z","abstract_excerpt":"A multitude of publicly-available driving datasets and data platforms have been raised for autonomous vehicles (AV). However, the heterogeneities of databases in size, structure and driving context make existing datasets practically ineffective due to a lack of uniform frameworks and searchable indexes. In order to overcome these limitations on existing public datasets, this paper proposes a data unification framework based on traffic primitives with ability to automatically unify and label heterogeneous traffic data. This is achieved by two steps: 1) Carefully arrange raw multidimensional tim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.04925","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":"2026-05-18T00:16:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2DDHu7k6a5FX4cFvd9CWp12ybAH2G+fPM3rrPg07uCTnoyoUbOcYB11/zLscJT677sJHiunab0W31ltAV2FAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:06:25.237415Z"},"content_sha256":"a14a73e27bfe8497b70c761c16f7918e8cd8b6ea73586dab0e37735480f85bb6","schema_version":"1.0","event_id":"sha256:a14a73e27bfe8497b70c761c16f7918e8cd8b6ea73586dab0e37735480f85bb6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/bundle.json","state_url":"https://pith.science/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/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":"2026-05-26T00:06:25Z","links":{"resolver":"https://pith.science/pith/UUYTTTGH35FHKS3SM2MCOMRD6X","bundle":"https://pith.science/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/bundle.json","state":"https://pith.science/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UUYTTTGH35FHKS3SM2MCOMRD6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:UUYTTTGH35FHKS3SM2MCOMRD6X","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":"a325f3899462b0dc891543f1f970c222e42e516b0deb91ec02d2c74c5df21868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-13T18:42:59Z","title_canon_sha256":"84fd7ba9d294d4334bd476e3a6de642ad6e80a18e08ee92f40918f8958f4e5ca"},"schema_version":"1.0","source":{"id":"1805.04925","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.04925","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"arxiv_version","alias_value":"1805.04925v1","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.04925","created_at":"2026-05-18T00:16:04Z"},{"alias_kind":"pith_short_12","alias_value":"UUYTTTGH35FH","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UUYTTTGH35FHKS3S","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UUYTTTGH","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:a14a73e27bfe8497b70c761c16f7918e8cd8b6ea73586dab0e37735480f85bb6","target":"graph","created_at":"2026-05-18T00:16:04Z","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":"A multitude of publicly-available driving datasets and data platforms have been raised for autonomous vehicles (AV). However, the heterogeneities of databases in size, structure and driving context make existing datasets practically ineffective due to a lack of uniform frameworks and searchable indexes. In order to overcome these limitations on existing public datasets, this paper proposes a data unification framework based on traffic primitives with ability to automatically unify and label heterogeneous traffic data. This is achieved by two steps: 1) Carefully arrange raw multidimensional tim","authors_text":"Ding Zhao, Jiacheng Zhu, Wenshuo Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-13T18:42:59Z","title":"A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.04925","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":"sha256:384d07b30ea83f0a21865bb1450dc5e542612b4f576802bb38f1927d7f48865b","target":"record","created_at":"2026-05-18T00:16:04Z","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":"a325f3899462b0dc891543f1f970c222e42e516b0deb91ec02d2c74c5df21868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-13T18:42:59Z","title_canon_sha256":"84fd7ba9d294d4334bd476e3a6de642ad6e80a18e08ee92f40918f8958f4e5ca"},"schema_version":"1.0","source":{"id":"1805.04925","kind":"arxiv","version":1}},"canonical_sha256":"a53139ccc7df4a754b726698273223f5e44fa03cab8f2adf61ea04a1989c9933","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a53139ccc7df4a754b726698273223f5e44fa03cab8f2adf61ea04a1989c9933","first_computed_at":"2026-05-18T00:16:04.301601Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:04.301601Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KzvH1FWWBYUYmbDyZwReTJ/IJFxWx/43QUVRO3seRX3mfj7DWJBm0Oe6qvLosM3cQhkdxd71NMfkhu/5+mXWDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:04.301963Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.04925","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:384d07b30ea83f0a21865bb1450dc5e542612b4f576802bb38f1927d7f48865b","sha256:a14a73e27bfe8497b70c761c16f7918e8cd8b6ea73586dab0e37735480f85bb6"],"state_sha256":"f639599dea8c31ca706d3089945cc004796ed2464d089ef88a8fca4788226aa6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pSFZ8aVXC4uwhfYFuG3ZUsTHTAk0rVPpUZTg9eHAy3AtjsoTwv6NEMgLDCrUSmoqNlBA68nPMVCzhBlhQHxoAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:06:25.241175Z","bundle_sha256":"b4e54829768719124a9a449e46d0a843a6b62de58d65ce23fa0ab0daf9e79695"}}