{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7SV3JEM7JIP5DKPF4J37HUW5R3","short_pith_number":"pith:7SV3JEM7","canonical_record":{"source":{"id":"2312.02934","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:05:14Z","cross_cats_sorted":[],"title_canon_sha256":"c3df9909c9d9c3485ee88b780c76927c9a2ae3f2b1f3a48c5d808fac8200edd9","abstract_canon_sha256":"bcca0bb49e79d2967925b7636ada7f8d9f78aa416ceae702968f72f452eb9dbd"},"schema_version":"1.0"},"canonical_sha256":"fcabb4919f4a1fd1a9e5e277f3d2dd8ed59088139c0621f5a6dd747d9402382f","source":{"kind":"arxiv","id":"2312.02934","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02934","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02934v4","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02934","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"7SV3JEM7JIP5","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"7SV3JEM7JIP5DKPF","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"7SV3JEM7","created_at":"2026-07-05T08:53:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7SV3JEM7JIP5DKPF4J37HUW5R3","target":"record","payload":{"canonical_record":{"source":{"id":"2312.02934","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:05:14Z","cross_cats_sorted":[],"title_canon_sha256":"c3df9909c9d9c3485ee88b780c76927c9a2ae3f2b1f3a48c5d808fac8200edd9","abstract_canon_sha256":"bcca0bb49e79d2967925b7636ada7f8d9f78aa416ceae702968f72f452eb9dbd"},"schema_version":"1.0"},"canonical_sha256":"fcabb4919f4a1fd1a9e5e277f3d2dd8ed59088139c0621f5a6dd747d9402382f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:53:18.627645Z","signature_b64":"OzzOXGKlyi+uR1kOtioW1NJkzhyyiY6bdJR4kfOwQhOjJMJT/J4MKs3ndwG+oqEaOXNB74iw39hj+Y+7vhEbAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fcabb4919f4a1fd1a9e5e277f3d2dd8ed59088139c0621f5a6dd747d9402382f","last_reissued_at":"2026-07-05T08:53:18.627174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:53:18.627174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.02934","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uVdRuBIHEUQ0AF2LLaMHhaptfr2lqQ5Iv1gIQSQ+5H7CSqWL0him1c0GIeVO+BcwqeQiq9BRbjv4rhCF0q9SAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:15:14.070020Z"},"content_sha256":"d376ab33007998a61b19ed64ded26fa34de4feb7de875150b1c008098fbbb13f","schema_version":"1.0","event_id":"sha256:d376ab33007998a61b19ed64ded26fa34de4feb7de875150b1c008098fbbb13f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7SV3JEM7JIP5DKPF4J37HUW5R3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiachen Lu, Jiahui Zhang, Li Zhang, Ze Huang, Zeyu Yang","submitted_at":"2023-12-05T18:05:14Z","abstract_excerpt":"Generating multi-camera street-view videos is critical for augmenting autonomous driving datasets, addressing the urgent demand for extensive and varied data. Due to the limitations in diversity and challenges in handling lighting conditions, traditional rendering-based methods are increasingly being supplanted by diffusion-based methods. However, a significant challenge in diffusion-based methods is ensuring that the generated sensor data preserve both intra-world consistency and inter-sensor coherence. To address these challenges, we combine an additional explicit world volume and propose th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02934","kind":"arxiv","version":4},"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/2312.02934/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":"2026-07-05T08:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8W3aP2aEtLhn0IXvChRAjYdI8Lsc2Uj0owiEvFxi/GixC9pByGsXJyQetXag+xA36BtAk3tWSi/3qqoGT8dXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:15:14.070584Z"},"content_sha256":"d12bb5f2fb04c8da9929c165f1df927fcea1be6fdf156012a570af3bdd9811ee","schema_version":"1.0","event_id":"sha256:d12bb5f2fb04c8da9929c165f1df927fcea1be6fdf156012a570af3bdd9811ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/bundle.json","state_url":"https://pith.science/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/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":"2026-08-03T15:15:14Z","links":{"resolver":"https://pith.science/pith/7SV3JEM7JIP5DKPF4J37HUW5R3","bundle":"https://pith.science/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/bundle.json","state":"https://pith.science/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7SV3JEM7JIP5DKPF4J37HUW5R3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7SV3JEM7JIP5DKPF4J37HUW5R3","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":"bcca0bb49e79d2967925b7636ada7f8d9f78aa416ceae702968f72f452eb9dbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:05:14Z","title_canon_sha256":"c3df9909c9d9c3485ee88b780c76927c9a2ae3f2b1f3a48c5d808fac8200edd9"},"schema_version":"1.0","source":{"id":"2312.02934","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02934","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02934v4","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02934","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"7SV3JEM7JIP5","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"7SV3JEM7JIP5DKPF","created_at":"2026-07-05T08:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"7SV3JEM7","created_at":"2026-07-05T08:53:18Z"}],"graph_snapshots":[{"event_id":"sha256:d12bb5f2fb04c8da9929c165f1df927fcea1be6fdf156012a570af3bdd9811ee","target":"graph","created_at":"2026-07-05T08:53:18Z","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/2312.02934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating multi-camera street-view videos is critical for augmenting autonomous driving datasets, addressing the urgent demand for extensive and varied data. Due to the limitations in diversity and challenges in handling lighting conditions, traditional rendering-based methods are increasingly being supplanted by diffusion-based methods. However, a significant challenge in diffusion-based methods is ensuring that the generated sensor data preserve both intra-world consistency and inter-sensor coherence. To address these challenges, we combine an additional explicit world volume and propose th","authors_text":"Jiachen Lu, Jiahui Zhang, Li Zhang, Ze Huang, Zeyu Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:05:14Z","title":"WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02934","kind":"arxiv","version":4},"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:d376ab33007998a61b19ed64ded26fa34de4feb7de875150b1c008098fbbb13f","target":"record","created_at":"2026-07-05T08:53:18Z","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":"bcca0bb49e79d2967925b7636ada7f8d9f78aa416ceae702968f72f452eb9dbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:05:14Z","title_canon_sha256":"c3df9909c9d9c3485ee88b780c76927c9a2ae3f2b1f3a48c5d808fac8200edd9"},"schema_version":"1.0","source":{"id":"2312.02934","kind":"arxiv","version":4}},"canonical_sha256":"fcabb4919f4a1fd1a9e5e277f3d2dd8ed59088139c0621f5a6dd747d9402382f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fcabb4919f4a1fd1a9e5e277f3d2dd8ed59088139c0621f5a6dd747d9402382f","first_computed_at":"2026-07-05T08:53:18.627174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:53:18.627174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OzzOXGKlyi+uR1kOtioW1NJkzhyyiY6bdJR4kfOwQhOjJMJT/J4MKs3ndwG+oqEaOXNB74iw39hj+Y+7vhEbAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:53:18.627645Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.02934","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d376ab33007998a61b19ed64ded26fa34de4feb7de875150b1c008098fbbb13f","sha256:d12bb5f2fb04c8da9929c165f1df927fcea1be6fdf156012a570af3bdd9811ee"],"state_sha256":"84afbcb30a3189be26b5ea4246178ee827e8efac89c641bf522d9888a2fc5ad9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H+TtCJfPBv+xlVJeIz4pmyM9BTmtKWORETkf9heMUWjfg/8TNk5V6yrZ+rbjBVp7ZhFMhmWOEoCz0sBaiMqRDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:15:14.074355Z","bundle_sha256":"43ac0948403402da26e2a95c7ea3a0e3354bf67a840eb98211d4fa7ffa2a605a"}}