{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QHFDJBDWAGN4P2J5EJUUANOACG","short_pith_number":"pith:QHFDJBDW","canonical_record":{"source":{"id":"2203.13310","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-24T19:28:54Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"334fe2e1e93b20fb6bdf7c6ea65fbac08d65b7d8ddccbd11c6a51fd6c9a8834c","abstract_canon_sha256":"41872762df3225bd2ded5e42fa022dbec5be7d202f44d32e3c67ba4e5cbef67c"},"schema_version":"1.0"},"canonical_sha256":"81ca348476019bc7e93d22694035c011bf6d4e668e5b412e37e464ceea6d40ab","source":{"kind":"arxiv","id":"2203.13310","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13310","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13310v5","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13310","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_12","alias_value":"QHFDJBDWAGN4","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_16","alias_value":"QHFDJBDWAGN4P2J5","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_8","alias_value":"QHFDJBDW","created_at":"2026-07-05T10:13:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QHFDJBDWAGN4P2J5EJUUANOACG","target":"record","payload":{"canonical_record":{"source":{"id":"2203.13310","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-24T19:28:54Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"334fe2e1e93b20fb6bdf7c6ea65fbac08d65b7d8ddccbd11c6a51fd6c9a8834c","abstract_canon_sha256":"41872762df3225bd2ded5e42fa022dbec5be7d202f44d32e3c67ba4e5cbef67c"},"schema_version":"1.0"},"canonical_sha256":"81ca348476019bc7e93d22694035c011bf6d4e668e5b412e37e464ceea6d40ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:35.876345Z","signature_b64":"DtcD5mLw4Xa6IqbMnsDZJRjTddJP+iVMhlDN+rRJx2goY1Hl5+TTJPWRIcYNwgidsFE7IX4COYhTgvfIwlLtDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81ca348476019bc7e93d22694035c011bf6d4e668e5b412e37e464ceea6d40ab","last_reissued_at":"2026-07-05T10:13:35.875751Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:35.875751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.13310","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:13:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4pm8n91AfVXK8+x7sNHX2IcIQJBW0gZDbkVV5JKnnBLzuxW43eonpg3Wr+Wi6jAucxQdrOQZID/rdQ+f1uoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:50:52.041260Z"},"content_sha256":"e5ccc65db359db56e33cd6f43c5cd207eabd06907a4f92b06f58ab30221e9bc6","schema_version":"1.0","event_id":"sha256:e5ccc65db359db56e33cd6f43c5cd207eabd06907a4f92b06f58ab30221e9bc6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QHFDJBDWAGN4P2J5EJUUANOACG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Han Qiu, Hongsheng Li, Peng Gao, Renrui Zhang, Tai Wang, Xuanzhuo Xu, Yiwen Tang, Yu Qiao, Ziteng Cui, Ziyu Guo","submitted_at":"2022-03-24T19:28:54Z","abstract_excerpt":"Monocular 3D object detection has long been a challenging task in autonomous driving. Most existing methods follow conventional 2D detectors to first localize object centers, and then predict 3D attributes by neighboring features. However, only using local visual features is insufficient to understand the scene-level 3D spatial structures and ignores the long-range inter-object depth relations. In this paper, we introduce the first DETR framework for Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the vanilla transformer to be depth-aware and guide the whole dete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13310","kind":"arxiv","version":5},"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/2203.13310/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":"2026-07-05T10:13:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2TTcO0VlufinYCHDstdTcpQvOV7qxmeHWAIJbUn7HsKmJjKVKQqsFm7pi/0aEUtZTd0XuXU6t4lUDQ+wuClpCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:50:52.041785Z"},"content_sha256":"443125416b862cd66a287402ed2a760e39436ec879492c98491eaaa2bf0a539b","schema_version":"1.0","event_id":"sha256:443125416b862cd66a287402ed2a760e39436ec879492c98491eaaa2bf0a539b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QHFDJBDWAGN4P2J5EJUUANOACG/bundle.json","state_url":"https://pith.science/pith/QHFDJBDWAGN4P2J5EJUUANOACG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QHFDJBDWAGN4P2J5EJUUANOACG/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":"2026-08-11T16:50:52Z","links":{"resolver":"https://pith.science/pith/QHFDJBDWAGN4P2J5EJUUANOACG","bundle":"https://pith.science/pith/QHFDJBDWAGN4P2J5EJUUANOACG/bundle.json","state":"https://pith.science/pith/QHFDJBDWAGN4P2J5EJUUANOACG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QHFDJBDWAGN4P2J5EJUUANOACG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QHFDJBDWAGN4P2J5EJUUANOACG","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":"41872762df3225bd2ded5e42fa022dbec5be7d202f44d32e3c67ba4e5cbef67c","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-24T19:28:54Z","title_canon_sha256":"334fe2e1e93b20fb6bdf7c6ea65fbac08d65b7d8ddccbd11c6a51fd6c9a8834c"},"schema_version":"1.0","source":{"id":"2203.13310","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13310","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13310v5","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13310","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_12","alias_value":"QHFDJBDWAGN4","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_16","alias_value":"QHFDJBDWAGN4P2J5","created_at":"2026-07-05T10:13:35Z"},{"alias_kind":"pith_short_8","alias_value":"QHFDJBDW","created_at":"2026-07-05T10:13:35Z"}],"graph_snapshots":[{"event_id":"sha256:443125416b862cd66a287402ed2a760e39436ec879492c98491eaaa2bf0a539b","target":"graph","created_at":"2026-07-05T10:13:35Z","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/2203.13310/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular 3D object detection has long been a challenging task in autonomous driving. Most existing methods follow conventional 2D detectors to first localize object centers, and then predict 3D attributes by neighboring features. However, only using local visual features is insufficient to understand the scene-level 3D spatial structures and ignores the long-range inter-object depth relations. In this paper, we introduce the first DETR framework for Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the vanilla transformer to be depth-aware and guide the whole dete","authors_text":"Han Qiu, Hongsheng Li, Peng Gao, Renrui Zhang, Tai Wang, Xuanzhuo Xu, Yiwen Tang, Yu Qiao, Ziteng Cui, Ziyu Guo","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-24T19:28:54Z","title":"MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13310","kind":"arxiv","version":5},"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:e5ccc65db359db56e33cd6f43c5cd207eabd06907a4f92b06f58ab30221e9bc6","target":"record","created_at":"2026-07-05T10:13:35Z","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":"41872762df3225bd2ded5e42fa022dbec5be7d202f44d32e3c67ba4e5cbef67c","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-24T19:28:54Z","title_canon_sha256":"334fe2e1e93b20fb6bdf7c6ea65fbac08d65b7d8ddccbd11c6a51fd6c9a8834c"},"schema_version":"1.0","source":{"id":"2203.13310","kind":"arxiv","version":5}},"canonical_sha256":"81ca348476019bc7e93d22694035c011bf6d4e668e5b412e37e464ceea6d40ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81ca348476019bc7e93d22694035c011bf6d4e668e5b412e37e464ceea6d40ab","first_computed_at":"2026-07-05T10:13:35.875751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:35.875751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DtcD5mLw4Xa6IqbMnsDZJRjTddJP+iVMhlDN+rRJx2goY1Hl5+TTJPWRIcYNwgidsFE7IX4COYhTgvfIwlLtDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:35.876345Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.13310","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5ccc65db359db56e33cd6f43c5cd207eabd06907a4f92b06f58ab30221e9bc6","sha256:443125416b862cd66a287402ed2a760e39436ec879492c98491eaaa2bf0a539b"],"state_sha256":"3f1c557482881184ef55312c0e7c71b04173fd9b45f478bdde389da4c6a7ddf6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FfvwKcC1qu7/m0i3orkK6yr55UKrl0sv3ynGtQLmABDuAh7rAkMx0JaPAYWR1pIdnOViNCTwGdyWHzHokz5BBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T16:50:52.048186Z","bundle_sha256":"e42735d1b9b0e25b454700135af4f1183ee7943d3da6a6b47e84cd3f316090f2"}}