{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZTGTGYBXWFDKV7K2SIA65NHDAB","short_pith_number":"pith:ZTGTGYBX","canonical_record":{"source":{"id":"2309.01106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T07:05:32Z","cross_cats_sorted":[],"title_canon_sha256":"d82b5f901d0eb1e3c4500a95ac791dae0c2d6738a2f41f91ebd0ae1c0e27cc1e","abstract_canon_sha256":"5ebd73a11ddffa941b164f161fa84e875a0f6d5acec1daedb86329caa927c841"},"schema_version":"1.0"},"canonical_sha256":"cccd336037b146aafd5a9201eeb4e3007f80360b03d47daf677c8bcdf18c7ae6","source":{"kind":"arxiv","id":"2309.01106","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01106","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01106v1","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01106","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"ZTGTGYBXWFDK","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_16","alias_value":"ZTGTGYBXWFDKV7K2","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_8","alias_value":"ZTGTGYBX","created_at":"2026-07-05T06:47:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZTGTGYBXWFDKV7K2SIA65NHDAB","target":"record","payload":{"canonical_record":{"source":{"id":"2309.01106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T07:05:32Z","cross_cats_sorted":[],"title_canon_sha256":"d82b5f901d0eb1e3c4500a95ac791dae0c2d6738a2f41f91ebd0ae1c0e27cc1e","abstract_canon_sha256":"5ebd73a11ddffa941b164f161fa84e875a0f6d5acec1daedb86329caa927c841"},"schema_version":"1.0"},"canonical_sha256":"cccd336037b146aafd5a9201eeb4e3007f80360b03d47daf677c8bcdf18c7ae6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:32.413132Z","signature_b64":"8CW8HvZAxYFNgXoEzsRUF/9Pb9N9swNGQQTFKAmjlbFYoHdu5Qo/cS5fuZP3HGA08ZquCc5B46dNWYMMXyqqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cccd336037b146aafd5a9201eeb4e3007f80360b03d47daf677c8bcdf18c7ae6","last_reissued_at":"2026-07-05T06:47:32.412611Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:32.412611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.01106","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":"2026-07-05T06:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vGdAf45PsP7ehF2kwnKohDmQZkUywRC3QkkHmxMCsNmzBxNqfMQirlVio7xsyh6EhULXLRe2+zT+ezyPbI+zAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T22:46:36.373855Z"},"content_sha256":"464dc6dc1992481bd2aff551246a9222699a161934123445d4ecb618d3e5f37a","schema_version":"1.0","event_id":"sha256:464dc6dc1992481bd2aff551246a9222699a161934123445d4ecb618d3e5f37a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZTGTGYBXWFDKV7K2SIA65NHDAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan, Xingyuan Li","submitted_at":"2023-09-03T07:05:32Z","abstract_excerpt":"Monocular 3D object detection plays a pivotal role in the field of autonomous driving and numerous deep learning-based methods have made significant breakthroughs in this area. Despite the advancements in detection accuracy and efficiency, these models tend to fail when faced with such attacks, rendering them ineffective. Therefore, bolstering the adversarial robustness of 3D detection models has become a crucial issue that demands immediate attention and innovative solutions. To mitigate this issue, we propose a depth-aware robust adversarial training method for monocular 3D object detection,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01106","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/2309.01106/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":"2026-07-05T06:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hyV1pgmm8h0NXAy6i9a79ggzjX1CcZBHliPRfp23w0BmMI+mPA2LRyI9JLWJSGmkuvGL8q1pSHm3R8+BBjC0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T22:46:36.374237Z"},"content_sha256":"96b485bea27aad1297c623cdd3e5ae1a617f174b53526fb9842347441f0f7983","schema_version":"1.0","event_id":"sha256:96b485bea27aad1297c623cdd3e5ae1a617f174b53526fb9842347441f0f7983"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/bundle.json","state_url":"https://pith.science/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/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":"2026-07-15T22:46:36Z","links":{"resolver":"https://pith.science/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB","bundle":"https://pith.science/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/bundle.json","state":"https://pith.science/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZTGTGYBXWFDKV7K2SIA65NHDAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZTGTGYBXWFDKV7K2SIA65NHDAB","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":"5ebd73a11ddffa941b164f161fa84e875a0f6d5acec1daedb86329caa927c841","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T07:05:32Z","title_canon_sha256":"d82b5f901d0eb1e3c4500a95ac791dae0c2d6738a2f41f91ebd0ae1c0e27cc1e"},"schema_version":"1.0","source":{"id":"2309.01106","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01106","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01106v1","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01106","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"ZTGTGYBXWFDK","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_16","alias_value":"ZTGTGYBXWFDKV7K2","created_at":"2026-07-05T06:47:32Z"},{"alias_kind":"pith_short_8","alias_value":"ZTGTGYBX","created_at":"2026-07-05T06:47:32Z"}],"graph_snapshots":[{"event_id":"sha256:96b485bea27aad1297c623cdd3e5ae1a617f174b53526fb9842347441f0f7983","target":"graph","created_at":"2026-07-05T06:47:32Z","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/2309.01106/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monocular 3D object detection plays a pivotal role in the field of autonomous driving and numerous deep learning-based methods have made significant breakthroughs in this area. Despite the advancements in detection accuracy and efficiency, these models tend to fail when faced with such attacks, rendering them ineffective. Therefore, bolstering the adversarial robustness of 3D detection models has become a crucial issue that demands immediate attention and innovative solutions. To mitigate this issue, we propose a depth-aware robust adversarial training method for monocular 3D object detection,","authors_text":"Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan, Xingyuan Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T07:05:32Z","title":"AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01106","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":"sha256:464dc6dc1992481bd2aff551246a9222699a161934123445d4ecb618d3e5f37a","target":"record","created_at":"2026-07-05T06:47:32Z","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":"5ebd73a11ddffa941b164f161fa84e875a0f6d5acec1daedb86329caa927c841","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T07:05:32Z","title_canon_sha256":"d82b5f901d0eb1e3c4500a95ac791dae0c2d6738a2f41f91ebd0ae1c0e27cc1e"},"schema_version":"1.0","source":{"id":"2309.01106","kind":"arxiv","version":1}},"canonical_sha256":"cccd336037b146aafd5a9201eeb4e3007f80360b03d47daf677c8bcdf18c7ae6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cccd336037b146aafd5a9201eeb4e3007f80360b03d47daf677c8bcdf18c7ae6","first_computed_at":"2026-07-05T06:47:32.412611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:32.412611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8CW8HvZAxYFNgXoEzsRUF/9Pb9N9swNGQQTFKAmjlbFYoHdu5Qo/cS5fuZP3HGA08ZquCc5B46dNWYMMXyqqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:32.413132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01106","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:464dc6dc1992481bd2aff551246a9222699a161934123445d4ecb618d3e5f37a","sha256:96b485bea27aad1297c623cdd3e5ae1a617f174b53526fb9842347441f0f7983"],"state_sha256":"b2e11a3a7f8fc45201fb6a93eadb05e502298afe96d31220bf3081272716cb67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DZivoOfj0XkYqUHumnegXHLaFZQ8Mh6B7FgnS77D3VePmhX9oIC68H7uIkR7P+5O829Rs37zFQjhQt6Pl8wuBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T22:46:36.376467Z","bundle_sha256":"16f785d09bf997fb9388f72bf186bfca904a7be09f6078662a4b5796bab11eac"}}