{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VJSQPVZWJLFMZPBOSMFZXHXRT5","short_pith_number":"pith:VJSQPVZW","canonical_record":{"source":{"id":"2310.15670","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-24T09:29:26Z","cross_cats_sorted":[],"title_canon_sha256":"ddc7926385bcade173dc5439c16aec24071d3586324fd940e9d1f623151ba9ae","abstract_canon_sha256":"bd9a253e8aa41c0a77a509065192bac49eaabc21480225d41d29c1ffe922c565"},"schema_version":"1.0"},"canonical_sha256":"aa6507d7364acaccbc2e930b9b9ef19f7da40e8bde57a4fdf0b09ba3bb53324e","source":{"kind":"arxiv","id":"2310.15670","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15670","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15670v1","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15670","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"VJSQPVZWJLFM","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"VJSQPVZWJLFMZPBO","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"VJSQPVZW","created_at":"2026-07-05T07:04:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VJSQPVZWJLFMZPBOSMFZXHXRT5","target":"record","payload":{"canonical_record":{"source":{"id":"2310.15670","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-24T09:29:26Z","cross_cats_sorted":[],"title_canon_sha256":"ddc7926385bcade173dc5439c16aec24071d3586324fd940e9d1f623151ba9ae","abstract_canon_sha256":"bd9a253e8aa41c0a77a509065192bac49eaabc21480225d41d29c1ffe922c565"},"schema_version":"1.0"},"canonical_sha256":"aa6507d7364acaccbc2e930b9b9ef19f7da40e8bde57a4fdf0b09ba3bb53324e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:04:29.352393Z","signature_b64":"BPsn9zJ2A5tWowOXfW+POjqSxN4dX6xDdL4riIAqc6RtviTu0Xit0mTgvyA8VjRnM95fhTiFwlXqtqFloFWyBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa6507d7364acaccbc2e930b9b9ef19f7da40e8bde57a4fdf0b09ba3bb53324e","last_reissued_at":"2026-07-05T07:04:29.351983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:04:29.351983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.15670","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":"2026-07-05T07:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zfbgG2488BRMQAML5aqwIsI5mgjjcUXR+GUSc1ewAIuK+aIwfRRdaRmiaZEGuzNR4UHs2H+4J+vkG9VRJbwrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:48:27.638181Z"},"content_sha256":"710aea42fc889e60cd0132ae72aaa85d0effe15f15814ef8d1a6ccfd9fa3a559","schema_version":"1.0","event_id":"sha256:710aea42fc889e60cd0132ae72aaa85d0effe15f15814ef8d1a6ccfd9fa3a559"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VJSQPVZWJLFMZPBOSMFZXHXRT5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chonghao Sima, Hongyang Li, Jingdong Wang, Linyan Huang, Wenhai Wang, Yu Qiao, Zhiqi Li","submitted_at":"2023-10-24T09:29:26Z","abstract_excerpt":"Current research is primarily dedicated to advancing the accuracy of camera-only 3D object detectors (apprentice) through the knowledge transferred from LiDAR- or multi-modal-based counterparts (expert). However, the presence of the domain gap between LiDAR and camera features, coupled with the inherent incompatibility in temporal fusion, significantly hinders the effectiveness of distillation-based enhancements for apprentices. Motivated by the success of uni-modal distillation, an apprentice-friendly expert model would predominantly rely on camera features, while still achieving comparable p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15670","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/2310.15670/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":"2026-07-05T07:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Woe9t3UocoBEiABWV1ld+QtBL1P7DPvky6ajAAPOT8I5l6vY4BKLRAfDvM5INQ+lw45d60LYmbGIJLk5ejH+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:48:27.638732Z"},"content_sha256":"e7686a3e49897208b162fdff6413ce9236057f3e3239fa19a07fc07b9c3db9ba","schema_version":"1.0","event_id":"sha256:e7686a3e49897208b162fdff6413ce9236057f3e3239fa19a07fc07b9c3db9ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/bundle.json","state_url":"https://pith.science/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/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":"2026-08-11T19:48:27Z","links":{"resolver":"https://pith.science/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5","bundle":"https://pith.science/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/bundle.json","state":"https://pith.science/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJSQPVZWJLFMZPBOSMFZXHXRT5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VJSQPVZWJLFMZPBOSMFZXHXRT5","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":"bd9a253e8aa41c0a77a509065192bac49eaabc21480225d41d29c1ffe922c565","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-24T09:29:26Z","title_canon_sha256":"ddc7926385bcade173dc5439c16aec24071d3586324fd940e9d1f623151ba9ae"},"schema_version":"1.0","source":{"id":"2310.15670","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15670","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15670v1","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15670","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"VJSQPVZWJLFM","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"VJSQPVZWJLFMZPBO","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"VJSQPVZW","created_at":"2026-07-05T07:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:e7686a3e49897208b162fdff6413ce9236057f3e3239fa19a07fc07b9c3db9ba","target":"graph","created_at":"2026-07-05T07:04:29Z","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/2310.15670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current research is primarily dedicated to advancing the accuracy of camera-only 3D object detectors (apprentice) through the knowledge transferred from LiDAR- or multi-modal-based counterparts (expert). However, the presence of the domain gap between LiDAR and camera features, coupled with the inherent incompatibility in temporal fusion, significantly hinders the effectiveness of distillation-based enhancements for apprentices. Motivated by the success of uni-modal distillation, an apprentice-friendly expert model would predominantly rely on camera features, while still achieving comparable p","authors_text":"Chonghao Sima, Hongyang Li, Jingdong Wang, Linyan Huang, Wenhai Wang, Yu Qiao, Zhiqi Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-24T09:29:26Z","title":"Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15670","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":"sha256:710aea42fc889e60cd0132ae72aaa85d0effe15f15814ef8d1a6ccfd9fa3a559","target":"record","created_at":"2026-07-05T07:04:29Z","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":"bd9a253e8aa41c0a77a509065192bac49eaabc21480225d41d29c1ffe922c565","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-24T09:29:26Z","title_canon_sha256":"ddc7926385bcade173dc5439c16aec24071d3586324fd940e9d1f623151ba9ae"},"schema_version":"1.0","source":{"id":"2310.15670","kind":"arxiv","version":1}},"canonical_sha256":"aa6507d7364acaccbc2e930b9b9ef19f7da40e8bde57a4fdf0b09ba3bb53324e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa6507d7364acaccbc2e930b9b9ef19f7da40e8bde57a4fdf0b09ba3bb53324e","first_computed_at":"2026-07-05T07:04:29.351983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:29.351983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BPsn9zJ2A5tWowOXfW+POjqSxN4dX6xDdL4riIAqc6RtviTu0Xit0mTgvyA8VjRnM95fhTiFwlXqtqFloFWyBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:29.352393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15670","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:710aea42fc889e60cd0132ae72aaa85d0effe15f15814ef8d1a6ccfd9fa3a559","sha256:e7686a3e49897208b162fdff6413ce9236057f3e3239fa19a07fc07b9c3db9ba"],"state_sha256":"99c1898fc29562f777ae29efb5d233323726b57ff608200ebed691e248c5385b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a9aP950UBgBfP8/GLIFsXDcp5JnU84i8FYY4d0ExP/PTOvfqYhmD9f1tBSMkeu8UJ8aTCPiHOL9vURCQNISsAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:48:27.643418Z","bundle_sha256":"e8220059905462b2fbc75394394fe21664ec56df6155923cd96d1a172aaeb2a4"}}