{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GNH6L6ACZJ6475KRNPD7XRU7BH","short_pith_number":"pith:GNH6L6AC","canonical_record":{"source":{"id":"2404.03015","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-03T18:54:27Z","cross_cats_sorted":[],"title_canon_sha256":"158da3cfb58fc015cbcd3f3c90550c30929e90b322a14db6f067b43cb3473467","abstract_canon_sha256":"90d0a97755fa0740be9f42c05d333dbddcacaab0750d3b314b71973bd2899c29"},"schema_version":"1.0"},"canonical_sha256":"334fe5f802ca7dcff5516bc7fbc69f09ed093cf1980d49da140d68d5269704fc","source":{"kind":"arxiv","id":"2404.03015","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.03015","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"arxiv_version","alias_value":"2404.03015v2","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.03015","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_12","alias_value":"GNH6L6ACZJ64","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_16","alias_value":"GNH6L6ACZJ6475KR","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_8","alias_value":"GNH6L6AC","created_at":"2026-07-05T09:43:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GNH6L6ACZJ6475KRNPD7XRU7BH","target":"record","payload":{"canonical_record":{"source":{"id":"2404.03015","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-03T18:54:27Z","cross_cats_sorted":[],"title_canon_sha256":"158da3cfb58fc015cbcd3f3c90550c30929e90b322a14db6f067b43cb3473467","abstract_canon_sha256":"90d0a97755fa0740be9f42c05d333dbddcacaab0750d3b314b71973bd2899c29"},"schema_version":"1.0"},"canonical_sha256":"334fe5f802ca7dcff5516bc7fbc69f09ed093cf1980d49da140d68d5269704fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:28.480985Z","signature_b64":"/fSCqHk7npmTE5FjRcBkSEfX2XwCXmseotW2zhNvjyEAOxth7mwTHexE0t7wP/4CKluWqoSdOySgmZEWJt53Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"334fe5f802ca7dcff5516bc7fbc69f09ed093cf1980d49da140d68d5269704fc","last_reissued_at":"2026-07-05T09:43:28.480479Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:28.480479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.03015","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":"2026-07-05T09:43:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pR/YZV7AzuIjMSPlWVCj8g7fQX99vVhjUp4Q6ne6zCwSqg3nAorCWLesHSoP5A1XzsA/EAAlGp20xDIoLBGQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:50:51.925783Z"},"content_sha256":"9a6b63c301010261f4c423f0e68527dd1925744875b60ececb68ae57a559f9d2","schema_version":"1.0","event_id":"sha256:9a6b63c301010261f4c423f0e68527dd1925744875b60ececb68ae57a559f9d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GNH6L6ACZJ6475KRNPD7XRU7BH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andras Palffy, Felix Fent, Holger Caesar","submitted_at":"2024-04-03T18:54:27Z","abstract_excerpt":"The perception of autonomous vehicles has to be efficient, robust, and cost-effective. However, cameras are not robust against severe weather conditions, lidar sensors are expensive, and the performance of radar-based perception is still inferior to the others. Camera-radar fusion methods have been proposed to address this issue, but these are constrained by the typical sparsity of radar point clouds and often designed for radars without elevation information. We propose a novel camera-radar fusion approach called Dual Perspective Fusion Transformer (DPFT), designed to overcome these limitatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.03015","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/2404.03015/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":"2026-07-05T09:43:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/2jyplMG26ivrY5drCEGeKVWcU3tS29q02bsiodOmHYlwRyx/UwY81j0LzupoXOGJ+6RFaCp3xxty9k8DLlBCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:50:51.926266Z"},"content_sha256":"a4592f8cc21c39945a06ab71c90f7ff8b65e708eaedd2451b39c33715a3fd6f1","schema_version":"1.0","event_id":"sha256:a4592f8cc21c39945a06ab71c90f7ff8b65e708eaedd2451b39c33715a3fd6f1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/bundle.json","state_url":"https://pith.science/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/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":"2026-08-11T00:50:51Z","links":{"resolver":"https://pith.science/pith/GNH6L6ACZJ6475KRNPD7XRU7BH","bundle":"https://pith.science/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/bundle.json","state":"https://pith.science/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GNH6L6ACZJ6475KRNPD7XRU7BH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GNH6L6ACZJ6475KRNPD7XRU7BH","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":"90d0a97755fa0740be9f42c05d333dbddcacaab0750d3b314b71973bd2899c29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-03T18:54:27Z","title_canon_sha256":"158da3cfb58fc015cbcd3f3c90550c30929e90b322a14db6f067b43cb3473467"},"schema_version":"1.0","source":{"id":"2404.03015","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.03015","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"arxiv_version","alias_value":"2404.03015v2","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.03015","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_12","alias_value":"GNH6L6ACZJ64","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_16","alias_value":"GNH6L6ACZJ6475KR","created_at":"2026-07-05T09:43:28Z"},{"alias_kind":"pith_short_8","alias_value":"GNH6L6AC","created_at":"2026-07-05T09:43:28Z"}],"graph_snapshots":[{"event_id":"sha256:a4592f8cc21c39945a06ab71c90f7ff8b65e708eaedd2451b39c33715a3fd6f1","target":"graph","created_at":"2026-07-05T09:43:28Z","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/2404.03015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The perception of autonomous vehicles has to be efficient, robust, and cost-effective. However, cameras are not robust against severe weather conditions, lidar sensors are expensive, and the performance of radar-based perception is still inferior to the others. Camera-radar fusion methods have been proposed to address this issue, but these are constrained by the typical sparsity of radar point clouds and often designed for radars without elevation information. We propose a novel camera-radar fusion approach called Dual Perspective Fusion Transformer (DPFT), designed to overcome these limitatio","authors_text":"Andras Palffy, Felix Fent, Holger Caesar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-03T18:54:27Z","title":"DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.03015","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":"sha256:9a6b63c301010261f4c423f0e68527dd1925744875b60ececb68ae57a559f9d2","target":"record","created_at":"2026-07-05T09:43:28Z","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":"90d0a97755fa0740be9f42c05d333dbddcacaab0750d3b314b71973bd2899c29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-03T18:54:27Z","title_canon_sha256":"158da3cfb58fc015cbcd3f3c90550c30929e90b322a14db6f067b43cb3473467"},"schema_version":"1.0","source":{"id":"2404.03015","kind":"arxiv","version":2}},"canonical_sha256":"334fe5f802ca7dcff5516bc7fbc69f09ed093cf1980d49da140d68d5269704fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"334fe5f802ca7dcff5516bc7fbc69f09ed093cf1980d49da140d68d5269704fc","first_computed_at":"2026-07-05T09:43:28.480479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:28.480479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/fSCqHk7npmTE5FjRcBkSEfX2XwCXmseotW2zhNvjyEAOxth7mwTHexE0t7wP/4CKluWqoSdOySgmZEWJt53Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:28.480985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.03015","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a6b63c301010261f4c423f0e68527dd1925744875b60ececb68ae57a559f9d2","sha256:a4592f8cc21c39945a06ab71c90f7ff8b65e708eaedd2451b39c33715a3fd6f1"],"state_sha256":"4a41ffcdb92918ce20d1ab71f49cc69e9751034f2dd613157b9e01c754d674b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G0mpNapT/tbuQVI1Bg/6QsYJMBsoFh2K3lk4Pc9Ilo4zx2oQ/bQ4xwm1nQL18qb+jr7TITYYKZoaqkbU6UB/Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:50:51.931118Z","bundle_sha256":"0b479890c0bd0c75f28350c74791028e138ff198d0bd1ca147e28dc161743eec"}}