{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CBASHDXTVUPTNM3TP2MECXXOCO","short_pith_number":"pith:CBASHDXT","canonical_record":{"source":{"id":"2507.16224","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T04:35:52Z","cross_cats_sorted":[],"title_canon_sha256":"7921fb2b8a0c6f89b2c287d2d95cf77eb935a435a7b71a0242b42a9b61f49924","abstract_canon_sha256":"5ec999ff5a2901a0f4ca184ba99125d796c2842c84a25acdc0de548de925f866"},"schema_version":"1.0"},"canonical_sha256":"1041238ef3ad1f36b3737e98415eee1384e7d2f1964ccdd2748cfddf779fdbf7","source":{"kind":"arxiv","id":"2507.16224","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16224","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16224v2","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16224","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_12","alias_value":"CBASHDXTVUPT","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_16","alias_value":"CBASHDXTVUPTNM3T","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_8","alias_value":"CBASHDXT","created_at":"2026-07-05T12:00:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CBASHDXTVUPTNM3TP2MECXXOCO","target":"record","payload":{"canonical_record":{"source":{"id":"2507.16224","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T04:35:52Z","cross_cats_sorted":[],"title_canon_sha256":"7921fb2b8a0c6f89b2c287d2d95cf77eb935a435a7b71a0242b42a9b61f49924","abstract_canon_sha256":"5ec999ff5a2901a0f4ca184ba99125d796c2842c84a25acdc0de548de925f866"},"schema_version":"1.0"},"canonical_sha256":"1041238ef3ad1f36b3737e98415eee1384e7d2f1964ccdd2748cfddf779fdbf7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:06.243525Z","signature_b64":"ZZzanbRY5sObk9e80zrxeF9wvprwJ7Qs8ivAPY7naKvajbO3IUJjmLLM58NFtuW+xvePU1xshz/rqhm3qMEmDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1041238ef3ad1f36b3737e98415eee1384e7d2f1964ccdd2748cfddf779fdbf7","last_reissued_at":"2026-07-05T12:00:06.243074Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:06.243074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.16224","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":"2026-07-05T12:00:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pnj+41zwQrVjvnLCQKPPi3VpXWRB6is2mpc7rghIZ/KIU0rrz7rPNeZ8+tV/WzVoC9PAZibWWbKroBPVi7/bBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:04:10.083557Z"},"content_sha256":"906d3389b26f0dbe6e4c7e896535135a689825075c0b50bc95d41cf9573fcf0e","schema_version":"1.0","event_id":"sha256:906d3389b26f0dbe6e4c7e896535135a689825075c0b50bc95d41cf9573fcf0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CBASHDXTVUPTNM3TP2MECXXOCO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LDRFusion: A LiDAR-Dominant multimodal refinement framework for 3D object detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jijun Wang, Junqiao Zhao, Jun Yan, Yan Wu, Yinghao Hu, Yujian Mo","submitted_at":"2025-07-22T04:35:52Z","abstract_excerpt":"Existing LiDAR-Camera fusion methods have achieved strong results in 3D object detection. To address the sparsity of point clouds, previous approaches typically construct spatial pseudo point clouds via depth completion as auxiliary input and adopts a proposal-refinement framework to generate detection results. However, introducing pseudo points inevitably brings noise, potentially resulting in inaccurate predictions. Considering the differing roles and reliability levels of each modality, we propose LDRFusion, a novel Lidar-dominant two-stage refinement framework for multi-sensor fusion. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16224","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/2507.16224/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":"2026-07-05T12:00:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W1QUHEysNPqJqdS+VDHO8FDJQZZuTkosQaSI2HSQawEyWcUvcONdCu9ZfZTO9zig8imAfjQBWnseZxE+fOQTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:04:10.083910Z"},"content_sha256":"e7622449b6508f0969d6f6236fcda9142e01c9b4323b290c7f1c442e5de3ca03","schema_version":"1.0","event_id":"sha256:e7622449b6508f0969d6f6236fcda9142e01c9b4323b290c7f1c442e5de3ca03"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CBASHDXTVUPTNM3TP2MECXXOCO/bundle.json","state_url":"https://pith.science/pith/CBASHDXTVUPTNM3TP2MECXXOCO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CBASHDXTVUPTNM3TP2MECXXOCO/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":"2026-07-07T09:04:10Z","links":{"resolver":"https://pith.science/pith/CBASHDXTVUPTNM3TP2MECXXOCO","bundle":"https://pith.science/pith/CBASHDXTVUPTNM3TP2MECXXOCO/bundle.json","state":"https://pith.science/pith/CBASHDXTVUPTNM3TP2MECXXOCO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CBASHDXTVUPTNM3TP2MECXXOCO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CBASHDXTVUPTNM3TP2MECXXOCO","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":"5ec999ff5a2901a0f4ca184ba99125d796c2842c84a25acdc0de548de925f866","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T04:35:52Z","title_canon_sha256":"7921fb2b8a0c6f89b2c287d2d95cf77eb935a435a7b71a0242b42a9b61f49924"},"schema_version":"1.0","source":{"id":"2507.16224","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16224","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16224v2","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16224","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_12","alias_value":"CBASHDXTVUPT","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_16","alias_value":"CBASHDXTVUPTNM3T","created_at":"2026-07-05T12:00:06Z"},{"alias_kind":"pith_short_8","alias_value":"CBASHDXT","created_at":"2026-07-05T12:00:06Z"}],"graph_snapshots":[{"event_id":"sha256:e7622449b6508f0969d6f6236fcda9142e01c9b4323b290c7f1c442e5de3ca03","target":"graph","created_at":"2026-07-05T12:00:06Z","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/2507.16224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing LiDAR-Camera fusion methods have achieved strong results in 3D object detection. To address the sparsity of point clouds, previous approaches typically construct spatial pseudo point clouds via depth completion as auxiliary input and adopts a proposal-refinement framework to generate detection results. However, introducing pseudo points inevitably brings noise, potentially resulting in inaccurate predictions. Considering the differing roles and reliability levels of each modality, we propose LDRFusion, a novel Lidar-dominant two-stage refinement framework for multi-sensor fusion. The ","authors_text":"Jijun Wang, Junqiao Zhao, Jun Yan, Yan Wu, Yinghao Hu, Yujian Mo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T04:35:52Z","title":"LDRFusion: A LiDAR-Dominant multimodal refinement framework for 3D object detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16224","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":"sha256:906d3389b26f0dbe6e4c7e896535135a689825075c0b50bc95d41cf9573fcf0e","target":"record","created_at":"2026-07-05T12:00:06Z","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":"5ec999ff5a2901a0f4ca184ba99125d796c2842c84a25acdc0de548de925f866","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T04:35:52Z","title_canon_sha256":"7921fb2b8a0c6f89b2c287d2d95cf77eb935a435a7b71a0242b42a9b61f49924"},"schema_version":"1.0","source":{"id":"2507.16224","kind":"arxiv","version":2}},"canonical_sha256":"1041238ef3ad1f36b3737e98415eee1384e7d2f1964ccdd2748cfddf779fdbf7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1041238ef3ad1f36b3737e98415eee1384e7d2f1964ccdd2748cfddf779fdbf7","first_computed_at":"2026-07-05T12:00:06.243074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:06.243074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZZzanbRY5sObk9e80zrxeF9wvprwJ7Qs8ivAPY7naKvajbO3IUJjmLLM58NFtuW+xvePU1xshz/rqhm3qMEmDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:06.243525Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16224","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:906d3389b26f0dbe6e4c7e896535135a689825075c0b50bc95d41cf9573fcf0e","sha256:e7622449b6508f0969d6f6236fcda9142e01c9b4323b290c7f1c442e5de3ca03"],"state_sha256":"8caff18e70eeb0e2dc4f23d42687ec582c0b19fa2276d7be1902d7538ac40801"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bsWcT+o82VHHZHMICQji/iBMrs0vo8JqfaGs/jecI/09OkYFPYkKaR8fbD/r24d+Y/6+XQ+6LvRdx1erjsKqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:04:10.085775Z","bundle_sha256":"a127fef6c6a47bb170e70a1b1b3a9e36d7efc186fc0df8f4caf613b695e3d41a"}}