{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ASYIGNG2XXYASLLAQVRNPOWG4C","short_pith_number":"pith:ASYIGNG2","canonical_record":{"source":{"id":"2203.03568","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T18:10:40Z","cross_cats_sorted":[],"title_canon_sha256":"0cc6716acc837188abb50f19dfd5eeb6d7d68b45c7a69a0d87b67144117562cd","abstract_canon_sha256":"f7a8295e91a045bd4fccb8cf2822674cc58e397e8d2ac065652cace8aaabba20"},"schema_version":"1.0"},"canonical_sha256":"04b08334dabdf0092d608562d7bac6e08f621906f1ac8b23dc52852c987835dd","source":{"kind":"arxiv","id":"2203.03568","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.03568","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.03568v1","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.03568","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_12","alias_value":"ASYIGNG2XXYA","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_16","alias_value":"ASYIGNG2XXYASLLA","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_8","alias_value":"ASYIGNG2","created_at":"2026-07-05T04:02:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ASYIGNG2XXYASLLAQVRNPOWG4C","target":"record","payload":{"canonical_record":{"source":{"id":"2203.03568","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T18:10:40Z","cross_cats_sorted":[],"title_canon_sha256":"0cc6716acc837188abb50f19dfd5eeb6d7d68b45c7a69a0d87b67144117562cd","abstract_canon_sha256":"f7a8295e91a045bd4fccb8cf2822674cc58e397e8d2ac065652cace8aaabba20"},"schema_version":"1.0"},"canonical_sha256":"04b08334dabdf0092d608562d7bac6e08f621906f1ac8b23dc52852c987835dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:02:35.808865Z","signature_b64":"G2xvRlH6wdwqh9t5Xwf6TWf1lPK2fB95klHMBJKjeUIncTUqVK5PtQrkF7C72rCm/cRtHo3FH3htXhx1UlITCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04b08334dabdf0092d608562d7bac6e08f621906f1ac8b23dc52852c987835dd","last_reissued_at":"2026-07-05T04:02:35.808461Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:02:35.808461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.03568","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":"2026-07-05T04:02:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fOr+Ggmdi7wE/zpLsq2vHmaFzkV3yM6KbUHvjUGEsEUheNaARMJ4hbArIzZVYs06X/lhOsuyRPHVV6daey78BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:38:06.048047Z"},"content_sha256":"c5505600e66b6d802c3a998f18c8885e776c2dd4e0c019729c4897c158101821","schema_version":"1.0","event_id":"sha256:c5505600e66b6d802c3a998f18c8885e776c2dd4e0c019729c4897c158101821"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ASYIGNG2XXYASLLAQVRNPOWG4C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Yang, George Eskandar, Karim Guirguis, Mario D\\\"obler, Pavithran Pandiyan, Robert A. Marsden","submitted_at":"2022-03-07T18:10:40Z","abstract_excerpt":"Integrating different representations from complementary sensing modalities is crucial for robust scene interpretation in autonomous driving. While deep learning architectures that fuse vision and range data for 2D object detection have thrived in recent years, the corresponding modalities can degrade in adverse weather or lighting conditions, ultimately leading to a drop in performance. Although domain adaptation methods attempt to bridge the domain gap between source and target domains, they do not readily extend to heterogeneous data distributions. In this work, we propose an unsupervised d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.03568","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/2203.03568/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":"2026-07-05T04:02:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NJgO09G2KXWn7gX9eiCb4cOTIBbhrjaehikP/drNH9Un0KKU6fbi88S0z8ohSSWM3VCrcEKuUdQ7D32SBJ/+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:38:06.048712Z"},"content_sha256":"95d4d0cc9d3a9c848161464b1a27031d06d70394c2efc1c66042e347153340ce","schema_version":"1.0","event_id":"sha256:95d4d0cc9d3a9c848161464b1a27031d06d70394c2efc1c66042e347153340ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/bundle.json","state_url":"https://pith.science/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/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":"2026-07-07T07:38:06Z","links":{"resolver":"https://pith.science/pith/ASYIGNG2XXYASLLAQVRNPOWG4C","bundle":"https://pith.science/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/bundle.json","state":"https://pith.science/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ASYIGNG2XXYASLLAQVRNPOWG4C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ASYIGNG2XXYASLLAQVRNPOWG4C","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":"f7a8295e91a045bd4fccb8cf2822674cc58e397e8d2ac065652cace8aaabba20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T18:10:40Z","title_canon_sha256":"0cc6716acc837188abb50f19dfd5eeb6d7d68b45c7a69a0d87b67144117562cd"},"schema_version":"1.0","source":{"id":"2203.03568","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.03568","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.03568v1","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.03568","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_12","alias_value":"ASYIGNG2XXYA","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_16","alias_value":"ASYIGNG2XXYASLLA","created_at":"2026-07-05T04:02:35Z"},{"alias_kind":"pith_short_8","alias_value":"ASYIGNG2","created_at":"2026-07-05T04:02:35Z"}],"graph_snapshots":[{"event_id":"sha256:95d4d0cc9d3a9c848161464b1a27031d06d70394c2efc1c66042e347153340ce","target":"graph","created_at":"2026-07-05T04:02:35Z","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/2203.03568/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrating different representations from complementary sensing modalities is crucial for robust scene interpretation in autonomous driving. While deep learning architectures that fuse vision and range data for 2D object detection have thrived in recent years, the corresponding modalities can degrade in adverse weather or lighting conditions, ultimately leading to a drop in performance. Although domain adaptation methods attempt to bridge the domain gap between source and target domains, they do not readily extend to heterogeneous data distributions. In this work, we propose an unsupervised d","authors_text":"Bin Yang, George Eskandar, Karim Guirguis, Mario D\\\"obler, Pavithran Pandiyan, Robert A. Marsden","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T18:10:40Z","title":"An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.03568","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:c5505600e66b6d802c3a998f18c8885e776c2dd4e0c019729c4897c158101821","target":"record","created_at":"2026-07-05T04:02:35Z","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":"f7a8295e91a045bd4fccb8cf2822674cc58e397e8d2ac065652cace8aaabba20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T18:10:40Z","title_canon_sha256":"0cc6716acc837188abb50f19dfd5eeb6d7d68b45c7a69a0d87b67144117562cd"},"schema_version":"1.0","source":{"id":"2203.03568","kind":"arxiv","version":1}},"canonical_sha256":"04b08334dabdf0092d608562d7bac6e08f621906f1ac8b23dc52852c987835dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04b08334dabdf0092d608562d7bac6e08f621906f1ac8b23dc52852c987835dd","first_computed_at":"2026-07-05T04:02:35.808461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:35.808461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G2xvRlH6wdwqh9t5Xwf6TWf1lPK2fB95klHMBJKjeUIncTUqVK5PtQrkF7C72rCm/cRtHo3FH3htXhx1UlITCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:35.808865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.03568","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5505600e66b6d802c3a998f18c8885e776c2dd4e0c019729c4897c158101821","sha256:95d4d0cc9d3a9c848161464b1a27031d06d70394c2efc1c66042e347153340ce"],"state_sha256":"faeb35192d838863b139bebea287979c9099221c7feb05d0e5d7497ccac12b16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOHMc265kMPUoxNjxA8AdgALhf3aM+0bbco0ccdiiVivWZIKDr5nzGzvH4uQ/dHzQNLb8cLDhDMP1KBJ4GOWAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:38:06.052077Z","bundle_sha256":"fede68f22bdd3a0fcc7c50c8ffceca70ffa3b1c6f293804259659c13b5b8ad5c"}}