{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2WJBBSOO56RRDJWOBMNVR22EAA","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":"036ad438aabe0e1813eb979079a36b3cd86a42681af315f947f20ef6bce655d8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T18:12:30Z","title_canon_sha256":"aaac9cd27695c1a0d9a08df34b04e651af25bc9096712ccf511fc0b79a9fd794"},"schema_version":"1.0","source":{"id":"2210.02493","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02493","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02493v1","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02493","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"2WJBBSOO56RR","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"2WJBBSOO56RRDJWO","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"2WJBBSOO","created_at":"2026-07-05T05:03:53Z"}],"graph_snapshots":[{"event_id":"sha256:234f6e032b92a71e0b51511366b819e47e49069a91cce043eedb0de63064ebb3","target":"graph","created_at":"2026-07-05T05:03:53Z","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/2210.02493/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A key contributor to recent progress in 3D detection from single images is monocular depth estimation. Existing methods focus on how to leverage depth explicitly, by generating pseudo-pointclouds or providing attention cues for image features. More recent works leverage depth prediction as a pretraining task and fine-tune the depth representation while training it for 3D detection. However, the adaptation is insufficient and is limited in scale by manual labels. In this work, we propose to further align depth representation with the target domain in unsupervised fashions. Our methods leverage ","authors_text":"Adrien Gaidon, Dennis Park, Dian Chen, Jie Li, Vitor Guizilini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T18:12:30Z","title":"Depth Is All You Need for Monocular 3D Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02493","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":"sha256:3d206b67c21883e930ae2e5014a908978a7c8939b6a6c84414a35d01d37de305","target":"record","created_at":"2026-07-05T05:03:53Z","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":"036ad438aabe0e1813eb979079a36b3cd86a42681af315f947f20ef6bce655d8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T18:12:30Z","title_canon_sha256":"aaac9cd27695c1a0d9a08df34b04e651af25bc9096712ccf511fc0b79a9fd794"},"schema_version":"1.0","source":{"id":"2210.02493","kind":"arxiv","version":1}},"canonical_sha256":"d59210c9ceefa311a6ce0b1b58eb440027a482551d88486c9b067c2c267d58e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d59210c9ceefa311a6ce0b1b58eb440027a482551d88486c9b067c2c267d58e0","first_computed_at":"2026-07-05T05:03:53.059567Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:53.059567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jL/DB1XIsfn7KtdpJuAf6Gpj5UflnmZfROPyN13PZ2lfeu44bjwpuZEpFUi7Joyk7CWL+/+z22+DHrS4McM3Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:53.059973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02493","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d206b67c21883e930ae2e5014a908978a7c8939b6a6c84414a35d01d37de305","sha256:234f6e032b92a71e0b51511366b819e47e49069a91cce043eedb0de63064ebb3"],"state_sha256":"7dce309ae63a66964eee07dbcb903fc42d64f31869cc84fdf5d3fce549470610"}