{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4BZW76VXQQRFGVEFAYRMGXIQYM","short_pith_number":"pith:4BZW76VX","canonical_record":{"source":{"id":"2502.14503","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-20T12:31:24Z","cross_cats_sorted":[],"title_canon_sha256":"b3878e475e7985d0bd371f289d3cd5ff9982d8715b7515efe0453aa40ab6b171","abstract_canon_sha256":"6837e1c7f69aa5348a1c69e4e05171ab97f83c5a2ee6a8d18b42e94ab1ab7517"},"schema_version":"1.0"},"canonical_sha256":"e0736ffab784225354850622c35d10c33ca189f91a4b2f6071efb9b0e6578475","source":{"kind":"arxiv","id":"2502.14503","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.14503","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.14503v1","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.14503","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"4BZW76VXQQRF","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_16","alias_value":"4BZW76VXQQRFGVEF","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_8","alias_value":"4BZW76VX","created_at":"2026-07-05T10:17:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4BZW76VXQQRFGVEFAYRMGXIQYM","target":"record","payload":{"canonical_record":{"source":{"id":"2502.14503","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-20T12:31:24Z","cross_cats_sorted":[],"title_canon_sha256":"b3878e475e7985d0bd371f289d3cd5ff9982d8715b7515efe0453aa40ab6b171","abstract_canon_sha256":"6837e1c7f69aa5348a1c69e4e05171ab97f83c5a2ee6a8d18b42e94ab1ab7517"},"schema_version":"1.0"},"canonical_sha256":"e0736ffab784225354850622c35d10c33ca189f91a4b2f6071efb9b0e6578475","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:17:27.661914Z","signature_b64":"zLa04EG3PHjQZApqG2JXLhX7hYQIuXLuCl6BfgvmtiU7B8ueN5ELHi5CfGli3GaSukdzmfhdUORPh80ne+LbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0736ffab784225354850622c35d10c33ca189f91a4b2f6071efb9b0e6578475","last_reissued_at":"2026-07-05T10:17:27.661440Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:17:27.661440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.14503","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":"2026-07-05T10:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rcrbzVrDYe+wTL2hLO9D/EPNe/AkZqqpgVCHdaGdJA/b62sQwIX30Y/agbz90pdO6fkcoRqQPCit/PTTfstGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:41:28.142073Z"},"content_sha256":"0e96e1b05b637f646ff4678bf210417c12123a5456d55835eaaf86aef25bd437","schema_version":"1.0","event_id":"sha256:0e96e1b05b637f646ff4678bf210417c12123a5456d55835eaaf86aef25bd437"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4BZW76VXQQRFGVEFAYRMGXIQYM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bing Zhu, Fengchun He, Qiuchi Zhao, Weiyi Xiong, Zean Zou","submitted_at":"2025-02-20T12:31:24Z","abstract_excerpt":"As the previous state-of-the-art 4D radar-camera fusion-based 3D object detection method, LXL utilizes the predicted image depth distribution maps and radar 3D occupancy grids to assist the sampling-based image view transformation. However, the depth prediction lacks accuracy and consistency, and the concatenation-based fusion in LXL impedes the model robustness. In this work, we propose LXLv2, where modifications are made to overcome the limitations and improve the performance. Specifically, considering the position error in radar measurements, we devise a one-to-many depth supervision strate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.14503","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/2502.14503/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":"2026-07-05T10:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w5WhI31GuJq3Pk4m069kNCV0pvzlj1irZooSOstPKRLj9MdL6S+sLVRU+limx+YxfYsGY34S1JpdSEE3PgsNAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:41:28.142474Z"},"content_sha256":"6ad29a7f30a0f9124791e98b0ac5dafea309b692cf5f71284ad50fb0c784b9fd","schema_version":"1.0","event_id":"sha256:6ad29a7f30a0f9124791e98b0ac5dafea309b692cf5f71284ad50fb0c784b9fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/bundle.json","state_url":"https://pith.science/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/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":"2026-07-07T11:41:28Z","links":{"resolver":"https://pith.science/pith/4BZW76VXQQRFGVEFAYRMGXIQYM","bundle":"https://pith.science/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/bundle.json","state":"https://pith.science/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BZW76VXQQRFGVEFAYRMGXIQYM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4BZW76VXQQRFGVEFAYRMGXIQYM","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":"6837e1c7f69aa5348a1c69e4e05171ab97f83c5a2ee6a8d18b42e94ab1ab7517","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-20T12:31:24Z","title_canon_sha256":"b3878e475e7985d0bd371f289d3cd5ff9982d8715b7515efe0453aa40ab6b171"},"schema_version":"1.0","source":{"id":"2502.14503","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.14503","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.14503v1","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.14503","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"4BZW76VXQQRF","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_16","alias_value":"4BZW76VXQQRFGVEF","created_at":"2026-07-05T10:17:27Z"},{"alias_kind":"pith_short_8","alias_value":"4BZW76VX","created_at":"2026-07-05T10:17:27Z"}],"graph_snapshots":[{"event_id":"sha256:6ad29a7f30a0f9124791e98b0ac5dafea309b692cf5f71284ad50fb0c784b9fd","target":"graph","created_at":"2026-07-05T10:17:27Z","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/2502.14503/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the previous state-of-the-art 4D radar-camera fusion-based 3D object detection method, LXL utilizes the predicted image depth distribution maps and radar 3D occupancy grids to assist the sampling-based image view transformation. However, the depth prediction lacks accuracy and consistency, and the concatenation-based fusion in LXL impedes the model robustness. In this work, we propose LXLv2, where modifications are made to overcome the limitations and improve the performance. Specifically, considering the position error in radar measurements, we devise a one-to-many depth supervision strate","authors_text":"Bing Zhu, Fengchun He, Qiuchi Zhao, Weiyi Xiong, Zean Zou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-20T12:31:24Z","title":"LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.14503","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":"sha256:0e96e1b05b637f646ff4678bf210417c12123a5456d55835eaaf86aef25bd437","target":"record","created_at":"2026-07-05T10:17:27Z","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":"6837e1c7f69aa5348a1c69e4e05171ab97f83c5a2ee6a8d18b42e94ab1ab7517","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-20T12:31:24Z","title_canon_sha256":"b3878e475e7985d0bd371f289d3cd5ff9982d8715b7515efe0453aa40ab6b171"},"schema_version":"1.0","source":{"id":"2502.14503","kind":"arxiv","version":1}},"canonical_sha256":"e0736ffab784225354850622c35d10c33ca189f91a4b2f6071efb9b0e6578475","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0736ffab784225354850622c35d10c33ca189f91a4b2f6071efb9b0e6578475","first_computed_at":"2026-07-05T10:17:27.661440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:17:27.661440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zLa04EG3PHjQZApqG2JXLhX7hYQIuXLuCl6BfgvmtiU7B8ueN5ELHi5CfGli3GaSukdzmfhdUORPh80ne+LbBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:17:27.661914Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.14503","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e96e1b05b637f646ff4678bf210417c12123a5456d55835eaaf86aef25bd437","sha256:6ad29a7f30a0f9124791e98b0ac5dafea309b692cf5f71284ad50fb0c784b9fd"],"state_sha256":"4269668438e943a6d79f37d802d5d0df55ac55337635045c304efd0ad2b9841b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VauU7TcEnGazKcnY5Unj88WI88GB1ZsJH4/rJ9wG8upYvALexq7AafrS+LU3pyNEhdHj7dDBKVPWt8ZLE9LkAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:41:28.144529Z","bundle_sha256":"90fcfd48bb119bd9534c72b4f965a62d28adcaeac5da6171b44032df2078c26e"}}