{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KIKCJGTOUNTGFUNFQEV7S52MWO","short_pith_number":"pith:KIKCJGTO","canonical_record":{"source":{"id":"2508.20488","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T07:09:21Z","cross_cats_sorted":[],"title_canon_sha256":"be89685ec49a19adf58aa567fd9ba19af43f3c8efb11b4a27b0ade0f0305783e","abstract_canon_sha256":"d5cf2466c1e44404aecd5095b8654ea884d4e36d285affd1b23d3030f4b61aba"},"schema_version":"1.0"},"canonical_sha256":"5214249a6ea36662d1a5812bf9774cb3936f9cc3b585173ef48f6780744f0ac4","source":{"kind":"arxiv","id":"2508.20488","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20488","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20488v1","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20488","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_12","alias_value":"KIKCJGTOUNTG","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_16","alias_value":"KIKCJGTOUNTGFUNF","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_8","alias_value":"KIKCJGTO","created_at":"2026-07-05T12:00:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KIKCJGTOUNTGFUNFQEV7S52MWO","target":"record","payload":{"canonical_record":{"source":{"id":"2508.20488","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T07:09:21Z","cross_cats_sorted":[],"title_canon_sha256":"be89685ec49a19adf58aa567fd9ba19af43f3c8efb11b4a27b0ade0f0305783e","abstract_canon_sha256":"d5cf2466c1e44404aecd5095b8654ea884d4e36d285affd1b23d3030f4b61aba"},"schema_version":"1.0"},"canonical_sha256":"5214249a6ea36662d1a5812bf9774cb3936f9cc3b585173ef48f6780744f0ac4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:53.378371Z","signature_b64":"71Uf444/jkEd8m/0ax3EECDniIxg3yZ9ifkBrdVt5Y+0S5OoBhiJDpgRbSHcfallPpCUu2GLUxQvNelQ0MzeAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5214249a6ea36662d1a5812bf9774cb3936f9cc3b585173ef48f6780744f0ac4","last_reissued_at":"2026-07-05T12:00:53.377907Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:53.377907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.20488","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":"2026-07-05T12:00:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+m3zVRBjsHRWXf5Bvy2lEHPZEHsrYz35A0abqVcZR07T73dMFbUU2gMmdqoFm22r4j5hcgw4sT+zfLZfncG1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:50:39.692046Z"},"content_sha256":"0dbd14fec26d91a870084b082188c1dd93e3922c16d1406c3fe102960406d1e0","schema_version":"1.0","event_id":"sha256:0dbd14fec26d91a870084b082188c1dd93e3922c16d1406c3fe102960406d1e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KIKCJGTOUNTGFUNFQEV7S52MWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongxiao Li, Ling-Yu Duan, Shixiang Tang, Wenhan Yang, Xiaotong Li, Xinzhu Ma, Zixuan Hu","submitted_at":"2025-08-28T07:09:21Z","abstract_excerpt":"Accurate monocular 3D object detection (M3OD) is pivotal for safety-critical applications like autonomous driving, yet its reliability deteriorates significantly under real-world domain shifts caused by environmental or sensor variations. To address these shifts, Test-Time Adaptation (TTA) methods have emerged, enabling models to adapt to target distributions during inference. While prior TTA approaches recognize the positive correlation between low uncertainty and high generalization ability, they fail to address the dual uncertainty inherent to M3OD: semantic uncertainty (ambiguous class pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20488","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/2508.20488/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":"2026-07-05T12:00:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nYWfbYZThEXPVJqQJ01bDVvRAYMHEL6MOudTorGn24vWN20nPcIY7IK1gfxn4uOqvrq/NAph9xS4DXX0usVzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:50:39.692422Z"},"content_sha256":"386bab46e3cccfc98ef8c44403f0d22a92dbdc6329dc0949f50412f3c1c65f08","schema_version":"1.0","event_id":"sha256:386bab46e3cccfc98ef8c44403f0d22a92dbdc6329dc0949f50412f3c1c65f08"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/bundle.json","state_url":"https://pith.science/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/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":"2026-08-05T20:50:39Z","links":{"resolver":"https://pith.science/pith/KIKCJGTOUNTGFUNFQEV7S52MWO","bundle":"https://pith.science/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/bundle.json","state":"https://pith.science/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KIKCJGTOUNTGFUNFQEV7S52MWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KIKCJGTOUNTGFUNFQEV7S52MWO","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":"d5cf2466c1e44404aecd5095b8654ea884d4e36d285affd1b23d3030f4b61aba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T07:09:21Z","title_canon_sha256":"be89685ec49a19adf58aa567fd9ba19af43f3c8efb11b4a27b0ade0f0305783e"},"schema_version":"1.0","source":{"id":"2508.20488","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20488","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20488v1","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20488","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_12","alias_value":"KIKCJGTOUNTG","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_16","alias_value":"KIKCJGTOUNTGFUNF","created_at":"2026-07-05T12:00:53Z"},{"alias_kind":"pith_short_8","alias_value":"KIKCJGTO","created_at":"2026-07-05T12:00:53Z"}],"graph_snapshots":[{"event_id":"sha256:386bab46e3cccfc98ef8c44403f0d22a92dbdc6329dc0949f50412f3c1c65f08","target":"graph","created_at":"2026-07-05T12:00:53Z","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/2508.20488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate monocular 3D object detection (M3OD) is pivotal for safety-critical applications like autonomous driving, yet its reliability deteriorates significantly under real-world domain shifts caused by environmental or sensor variations. To address these shifts, Test-Time Adaptation (TTA) methods have emerged, enabling models to adapt to target distributions during inference. While prior TTA approaches recognize the positive correlation between low uncertainty and high generalization ability, they fail to address the dual uncertainty inherent to M3OD: semantic uncertainty (ambiguous class pre","authors_text":"Dongxiao Li, Ling-Yu Duan, Shixiang Tang, Wenhan Yang, Xiaotong Li, Xinzhu Ma, Zixuan Hu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T07:09:21Z","title":"Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20488","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":"sha256:0dbd14fec26d91a870084b082188c1dd93e3922c16d1406c3fe102960406d1e0","target":"record","created_at":"2026-07-05T12:00:53Z","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":"d5cf2466c1e44404aecd5095b8654ea884d4e36d285affd1b23d3030f4b61aba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T07:09:21Z","title_canon_sha256":"be89685ec49a19adf58aa567fd9ba19af43f3c8efb11b4a27b0ade0f0305783e"},"schema_version":"1.0","source":{"id":"2508.20488","kind":"arxiv","version":1}},"canonical_sha256":"5214249a6ea36662d1a5812bf9774cb3936f9cc3b585173ef48f6780744f0ac4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5214249a6ea36662d1a5812bf9774cb3936f9cc3b585173ef48f6780744f0ac4","first_computed_at":"2026-07-05T12:00:53.377907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:53.377907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"71Uf444/jkEd8m/0ax3EECDniIxg3yZ9ifkBrdVt5Y+0S5OoBhiJDpgRbSHcfallPpCUu2GLUxQvNelQ0MzeAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:53.378371Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20488","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dbd14fec26d91a870084b082188c1dd93e3922c16d1406c3fe102960406d1e0","sha256:386bab46e3cccfc98ef8c44403f0d22a92dbdc6329dc0949f50412f3c1c65f08"],"state_sha256":"060f1a70e94a92c6436024e382a82d4d4b0f5161d2e0ed1443f3c5015f022192"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"74YZtDP4zrjJs91i32lZPe0y4VlF0ILHxpJlcK0MeTe0uRSwZ2iQKgFYzucAD1vok1jqGrU18EypM+I3suZ4CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:50:39.694939Z","bundle_sha256":"601ddc5522c4faa857c5d9a3888e8f9d136bb86298d84efd73df865df2793f87"}}