{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IJ4NVZY5VTJV334FJIC5AG2R7B","short_pith_number":"pith:IJ4NVZY5","canonical_record":{"source":{"id":"2405.04299","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T13:15:07Z","cross_cats_sorted":[],"title_canon_sha256":"1aafb988941c2fa9e05a25b2e00079de1f750a7e274f31a494799be5b9e5f3ae","abstract_canon_sha256":"aee7b2c1d16961debd72461780145ab1ede255f8843d4d65ae5dfecf46519609"},"schema_version":"1.0"},"canonical_sha256":"4278dae71dacd35def854a05d01b51f8617385791c11bc7969acf1dd1ddf17a6","source":{"kind":"arxiv","id":"2405.04299","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04299","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04299v2","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04299","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"IJ4NVZY5VTJV","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_16","alias_value":"IJ4NVZY5VTJV334F","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_8","alias_value":"IJ4NVZY5","created_at":"2026-07-05T08:43:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IJ4NVZY5VTJV334FJIC5AG2R7B","target":"record","payload":{"canonical_record":{"source":{"id":"2405.04299","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T13:15:07Z","cross_cats_sorted":[],"title_canon_sha256":"1aafb988941c2fa9e05a25b2e00079de1f750a7e274f31a494799be5b9e5f3ae","abstract_canon_sha256":"aee7b2c1d16961debd72461780145ab1ede255f8843d4d65ae5dfecf46519609"},"schema_version":"1.0"},"canonical_sha256":"4278dae71dacd35def854a05d01b51f8617385791c11bc7969acf1dd1ddf17a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:10.082998Z","signature_b64":"bS2qmZC+QKDgsfZYXBJlqdMCa0elfEoJrVx/6wwlGlgCKP0ENV16pFzthfcQwq0ewwHEffQ56DzauGfRLCwdDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4278dae71dacd35def854a05d01b51f8617385791c11bc7969acf1dd1ddf17a6","last_reissued_at":"2026-07-05T08:43:10.082541Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:10.082541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.04299","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t4rqyXPxh+s29Zok8QHSH1o+SXxecNKJuDfE9235KjSuyTbi31XaSihwbXgpkc7+/SLKF0/7tHZBwqvwgBSEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:40:17.847173Z"},"content_sha256":"0e9d5a0ce55462f6c10e52ec56ea81c6c974602f139a9ad19e610149307f994a","schema_version":"1.0","event_id":"sha256:0e9d5a0ce55462f6c10e52ec56ea81c6c974602f139a9ad19e610149307f994a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IJ4NVZY5VTJV334FJIC5AG2R7B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chonghua Zhou, Dan Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Yang Wen","submitted_at":"2024-05-07T13:15:07Z","abstract_excerpt":"3D occupancy, an advanced perception technology for driving scenarios, represents the entire scene without distinguishing between foreground and background by quantifying the physical space into a grid map. The widely adopted projection-first deformable attention, efficient in transforming image features into 3D representations, encounters challenges in aggregating multi-view features due to sensor deployment constraints. To address this issue, we propose our learning-first view attention mechanism for effective multi-view feature aggregation. Moreover, we showcase the scalability of our view "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04299","kind":"arxiv","version":2},"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/2405.04299/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":"2026-07-05T08:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"etoyUUMdkzPQqf01e7tlbyj8jMNyzjKi9lE7EwJGQJfEqmraK8XJtMohmu2AX+MaW5oWp56zF/qqnOZp5DpBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:40:17.847547Z"},"content_sha256":"63bd07931ca07ea401a9c2375b2416c1bc17922d5a53225015e5228443126902","schema_version":"1.0","event_id":"sha256:63bd07931ca07ea401a9c2375b2416c1bc17922d5a53225015e5228443126902"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/bundle.json","state_url":"https://pith.science/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/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":"2026-08-03T15:40:17Z","links":{"resolver":"https://pith.science/pith/IJ4NVZY5VTJV334FJIC5AG2R7B","bundle":"https://pith.science/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/bundle.json","state":"https://pith.science/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IJ4NVZY5VTJV334FJIC5AG2R7B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IJ4NVZY5VTJV334FJIC5AG2R7B","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":"aee7b2c1d16961debd72461780145ab1ede255f8843d4d65ae5dfecf46519609","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T13:15:07Z","title_canon_sha256":"1aafb988941c2fa9e05a25b2e00079de1f750a7e274f31a494799be5b9e5f3ae"},"schema_version":"1.0","source":{"id":"2405.04299","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04299","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04299v2","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04299","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"IJ4NVZY5VTJV","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_16","alias_value":"IJ4NVZY5VTJV334F","created_at":"2026-07-05T08:43:10Z"},{"alias_kind":"pith_short_8","alias_value":"IJ4NVZY5","created_at":"2026-07-05T08:43:10Z"}],"graph_snapshots":[{"event_id":"sha256:63bd07931ca07ea401a9c2375b2416c1bc17922d5a53225015e5228443126902","target":"graph","created_at":"2026-07-05T08:43:10Z","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/2405.04299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D occupancy, an advanced perception technology for driving scenarios, represents the entire scene without distinguishing between foreground and background by quantifying the physical space into a grid map. The widely adopted projection-first deformable attention, efficient in transforming image features into 3D representations, encounters challenges in aggregating multi-view features due to sensor deployment constraints. To address this issue, we propose our learning-first view attention mechanism for effective multi-view feature aggregation. Moreover, we showcase the scalability of our view ","authors_text":"Chonghua Zhou, Dan Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Yang Wen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T13:15:07Z","title":"ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04299","kind":"arxiv","version":2},"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":"sha256:0e9d5a0ce55462f6c10e52ec56ea81c6c974602f139a9ad19e610149307f994a","target":"record","created_at":"2026-07-05T08:43:10Z","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":"aee7b2c1d16961debd72461780145ab1ede255f8843d4d65ae5dfecf46519609","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T13:15:07Z","title_canon_sha256":"1aafb988941c2fa9e05a25b2e00079de1f750a7e274f31a494799be5b9e5f3ae"},"schema_version":"1.0","source":{"id":"2405.04299","kind":"arxiv","version":2}},"canonical_sha256":"4278dae71dacd35def854a05d01b51f8617385791c11bc7969acf1dd1ddf17a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4278dae71dacd35def854a05d01b51f8617385791c11bc7969acf1dd1ddf17a6","first_computed_at":"2026-07-05T08:43:10.082541Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:10.082541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bS2qmZC+QKDgsfZYXBJlqdMCa0elfEoJrVx/6wwlGlgCKP0ENV16pFzthfcQwq0ewwHEffQ56DzauGfRLCwdDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:10.082998Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.04299","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e9d5a0ce55462f6c10e52ec56ea81c6c974602f139a9ad19e610149307f994a","sha256:63bd07931ca07ea401a9c2375b2416c1bc17922d5a53225015e5228443126902"],"state_sha256":"77b3039030e78169347b9fb5c487f447983c213712275f53ef4f4886aa2942c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+erwDpv4p37X6+HuPLr0rY//jatCE9RZXBXQeCKhwLxuo9o58JcNcYzDTXmYtyWJjjM4txF9nZtUsGuGcpgZAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:40:17.850332Z","bundle_sha256":"41f873dffeecd0d119eb78c78d33e85d9d1b5715a4ad7ae2395aedbcf5ed2ae8"}}