{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:EN2Y4X6AMGWWGDYWX4WSD5I5MD","short_pith_number":"pith:EN2Y4X6A","canonical_record":{"source":{"id":"2007.08116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T05:02:45Z","cross_cats_sorted":[],"title_canon_sha256":"478292b24e5d2012f0aa754ab9c426961accf841e50c0fe452d84a3d96aa33ed","abstract_canon_sha256":"c77086b3a6a7b0d5743664d56dce908db8f0788e8eee8d0ea1c4f47af173844f"},"schema_version":"1.0"},"canonical_sha256":"23758e5fc061ad630f16bf2d21f51d60ecc28ea4f14f5bd7db33fb5b373492b1","source":{"kind":"arxiv","id":"2007.08116","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08116","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08116v1","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08116","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_12","alias_value":"EN2Y4X6AMGWW","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_16","alias_value":"EN2Y4X6AMGWWGDYW","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_8","alias_value":"EN2Y4X6A","created_at":"2026-07-05T01:19:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:EN2Y4X6AMGWWGDYWX4WSD5I5MD","target":"record","payload":{"canonical_record":{"source":{"id":"2007.08116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T05:02:45Z","cross_cats_sorted":[],"title_canon_sha256":"478292b24e5d2012f0aa754ab9c426961accf841e50c0fe452d84a3d96aa33ed","abstract_canon_sha256":"c77086b3a6a7b0d5743664d56dce908db8f0788e8eee8d0ea1c4f47af173844f"},"schema_version":"1.0"},"canonical_sha256":"23758e5fc061ad630f16bf2d21f51d60ecc28ea4f14f5bd7db33fb5b373492b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:19:43.968138Z","signature_b64":"C87I7wB1DNM9OgJeP6el4IF6UrOg2D4wh7e35nROmQOMjcKMF69ymIffkMA6VGce2o4Y/EC/lFxOX+i4TWUYBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23758e5fc061ad630f16bf2d21f51d60ecc28ea4f14f5bd7db33fb5b373492b1","last_reissued_at":"2026-07-05T01:19:43.967703Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:19:43.967703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.08116","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":"2026-07-05T01:19:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r5ZOaj9YGSDoQwSzYSfTGOXHDWIZ9Rx/OdvcSbyYaixUtkXuxU/eUxY7IQjNQvLNMeVap4rXSShLjKgpq5PVAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:05:01.582753Z"},"content_sha256":"eab5400e6f02d9ba1a306fc1882a61657212fde0dbe9cc81fa72849af5db11da","schema_version":"1.0","event_id":"sha256:eab5400e6f02d9ba1a306fc1882a61657212fde0dbe9cc81fa72849af5db11da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:EN2Y4X6AMGWWGDYWX4WSD5I5MD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PerMO: Perceiving More at Once from a Single Image for Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Zhou, Dinesh Manocha, Dingfu Zhou, Feixiang Lu, Hui Miao, Liangjun Zhang, Miao Liao, Ruigang Yang, Wei Li, Xibin Song, Zongdai Liu","submitted_at":"2020-07-16T05:02:45Z","abstract_excerpt":"We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving. Our approach combines the strengths of deep learning and the elegance of traditional techniques from part-based deformable model representation to produce high-quality 3D models in the presence of severe occlusions. We present a new part-based deformable vehicle model that is used for instance segmentation and automatically generate a dataset that contains dense correspondences between 2D images and 3D models. We also present a novel end-to-end dee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08116","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/2007.08116/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":"2026-07-05T01:19:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tL7Q6lpTU07Y3rIWpX+2LPHicnULk12Yf8JK/SYg2MnHiVK5MCOqUk7AYYEVZwguQAZpwKqg+MO1N9yxuvRLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:05:01.583269Z"},"content_sha256":"82ed551084c1e88b2fc6426d717bbc445d421f76545255f7907bced9fab48487","schema_version":"1.0","event_id":"sha256:82ed551084c1e88b2fc6426d717bbc445d421f76545255f7907bced9fab48487"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/bundle.json","state_url":"https://pith.science/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/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":"2026-08-06T15:05:01Z","links":{"resolver":"https://pith.science/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD","bundle":"https://pith.science/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/bundle.json","state":"https://pith.science/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EN2Y4X6AMGWWGDYWX4WSD5I5MD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EN2Y4X6AMGWWGDYWX4WSD5I5MD","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":"c77086b3a6a7b0d5743664d56dce908db8f0788e8eee8d0ea1c4f47af173844f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T05:02:45Z","title_canon_sha256":"478292b24e5d2012f0aa754ab9c426961accf841e50c0fe452d84a3d96aa33ed"},"schema_version":"1.0","source":{"id":"2007.08116","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08116","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08116v1","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08116","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_12","alias_value":"EN2Y4X6AMGWW","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_16","alias_value":"EN2Y4X6AMGWWGDYW","created_at":"2026-07-05T01:19:43Z"},{"alias_kind":"pith_short_8","alias_value":"EN2Y4X6A","created_at":"2026-07-05T01:19:43Z"}],"graph_snapshots":[{"event_id":"sha256:82ed551084c1e88b2fc6426d717bbc445d421f76545255f7907bced9fab48487","target":"graph","created_at":"2026-07-05T01:19:43Z","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/2007.08116/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving. Our approach combines the strengths of deep learning and the elegance of traditional techniques from part-based deformable model representation to produce high-quality 3D models in the presence of severe occlusions. We present a new part-based deformable vehicle model that is used for instance segmentation and automatically generate a dataset that contains dense correspondences between 2D images and 3D models. We also present a novel end-to-end dee","authors_text":"Bin Zhou, Dinesh Manocha, Dingfu Zhou, Feixiang Lu, Hui Miao, Liangjun Zhang, Miao Liao, Ruigang Yang, Wei Li, Xibin Song, Zongdai Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T05:02:45Z","title":"PerMO: Perceiving More at Once from a Single Image for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08116","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:eab5400e6f02d9ba1a306fc1882a61657212fde0dbe9cc81fa72849af5db11da","target":"record","created_at":"2026-07-05T01:19:43Z","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":"c77086b3a6a7b0d5743664d56dce908db8f0788e8eee8d0ea1c4f47af173844f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T05:02:45Z","title_canon_sha256":"478292b24e5d2012f0aa754ab9c426961accf841e50c0fe452d84a3d96aa33ed"},"schema_version":"1.0","source":{"id":"2007.08116","kind":"arxiv","version":1}},"canonical_sha256":"23758e5fc061ad630f16bf2d21f51d60ecc28ea4f14f5bd7db33fb5b373492b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23758e5fc061ad630f16bf2d21f51d60ecc28ea4f14f5bd7db33fb5b373492b1","first_computed_at":"2026-07-05T01:19:43.967703Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:19:43.967703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C87I7wB1DNM9OgJeP6el4IF6UrOg2D4wh7e35nROmQOMjcKMF69ymIffkMA6VGce2o4Y/EC/lFxOX+i4TWUYBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:19:43.968138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.08116","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eab5400e6f02d9ba1a306fc1882a61657212fde0dbe9cc81fa72849af5db11da","sha256:82ed551084c1e88b2fc6426d717bbc445d421f76545255f7907bced9fab48487"],"state_sha256":"328f11da78b6ce3880dfdb38f373983e7f55f60b3d5d847b4ae6ca397665e0fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VcRTsoOZ3uccYCE3NtKXBESI3bfRJMUfUM9vb3zjnTFBXiALJKDVgUAm0xQXBDbiMsGB1XvVrRVmnfseIrjkCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:05:01.587350Z","bundle_sha256":"ae407648b47bd0fbda5cd068ec21bdaecdbf91d5ec1f7774554e2ff0c498c168"}}