{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZW2GF2FK7VVGUBIEG7YEMFJGCO","short_pith_number":"pith:ZW2GF2FK","canonical_record":{"source":{"id":"2410.09004","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T17:20:04Z","cross_cats_sorted":[],"title_canon_sha256":"1a71e05f20814cb7761cdd76c87af8f76022c3dee8984804503ff5da85f7d531","abstract_canon_sha256":"fc53763901b6c97e7c9005cae45c451fffea5d6600f61ac40c61e951b8c058a9"},"schema_version":"1.0"},"canonical_sha256":"cdb462e8aafd6a6a050437f04615261390296c20cbef9347558634d13dfd8edc","source":{"kind":"arxiv","id":"2410.09004","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09004","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09004v1","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09004","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZW2GF2FK7VVG","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_16","alias_value":"ZW2GF2FK7VVGUBIE","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_8","alias_value":"ZW2GF2FK","created_at":"2026-07-05T09:19:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZW2GF2FK7VVGUBIEG7YEMFJGCO","target":"record","payload":{"canonical_record":{"source":{"id":"2410.09004","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T17:20:04Z","cross_cats_sorted":[],"title_canon_sha256":"1a71e05f20814cb7761cdd76c87af8f76022c3dee8984804503ff5da85f7d531","abstract_canon_sha256":"fc53763901b6c97e7c9005cae45c451fffea5d6600f61ac40c61e951b8c058a9"},"schema_version":"1.0"},"canonical_sha256":"cdb462e8aafd6a6a050437f04615261390296c20cbef9347558634d13dfd8edc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:19:20.597481Z","signature_b64":"yir1+Z7HlSNRYvCDVQ+XplAuQknDGgfUtZ+0KiHw9xXR2PeTPmytDx6sEr701fOrhsQfsKr/187h4HjpSN8JCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cdb462e8aafd6a6a050437f04615261390296c20cbef9347558634d13dfd8edc","last_reissued_at":"2026-07-05T09:19:20.596988Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:19:20.596988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.09004","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":"2026-07-05T09:19:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tJ25IXekN87RgavRUnNvphab86rb9i8EO1XBQbzJbJPk+Nu7j2nfyM+RWvqfPtb/9gQJh/dSSFdF9B3rvtrKDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:30:23.119999Z"},"content_sha256":"12a8e80d627448e2dd80fa075b64b96bbf6b4efeb763f3eddb46f3081842953b","schema_version":"1.0","event_id":"sha256:12a8e80d627448e2dd80fa075b64b96bbf6b4efeb763f3eddb46f3081842953b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZW2GF2FK7VVGUBIEG7YEMFJGCO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hantao Yao, Haochen Li, Ling Li, Rui Zhang, Xiaqing Li, Xinkai Song, Xin Zhang, Yifan Hao, Yongwei Zhao, Yunji Chen","submitted_at":"2024-10-11T17:20:04Z","abstract_excerpt":"Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. As the visual-language models (VLMs) can provide essential general knowledge on unseen images, freezing the visual encoder and inserting a domain-agnostic adapter can learn domain-invariant knowledge for DAOD. However, the domain-agnostic adapter is inevitably biased to the source domain. It discards some beneficial knowledge discriminative on the unlabelled domain, i.e., domain-specific knowledge of the target domain. To solve the issue, we propose a novel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09004","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/2410.09004/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":"2026-07-05T09:19:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XgJxjCCo1+/4TNmT58Tyg494VK4qKBzNYEgHv34I/ANIMYu0IDRoUOzBCaOZggeRt6VHDUHjbzyTVtIFm1uWBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:30:23.120943Z"},"content_sha256":"614153ebde04fbc503616d9152aa18d4dfad3a369d747b40bbd5db9e6e948e34","schema_version":"1.0","event_id":"sha256:614153ebde04fbc503616d9152aa18d4dfad3a369d747b40bbd5db9e6e948e34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/bundle.json","state_url":"https://pith.science/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/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":"2026-08-11T19:30:23Z","links":{"resolver":"https://pith.science/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO","bundle":"https://pith.science/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/bundle.json","state":"https://pith.science/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZW2GF2FK7VVGUBIEG7YEMFJGCO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZW2GF2FK7VVGUBIEG7YEMFJGCO","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":"fc53763901b6c97e7c9005cae45c451fffea5d6600f61ac40c61e951b8c058a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T17:20:04Z","title_canon_sha256":"1a71e05f20814cb7761cdd76c87af8f76022c3dee8984804503ff5da85f7d531"},"schema_version":"1.0","source":{"id":"2410.09004","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.09004","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.09004v1","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.09004","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZW2GF2FK7VVG","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_16","alias_value":"ZW2GF2FK7VVGUBIE","created_at":"2026-07-05T09:19:20Z"},{"alias_kind":"pith_short_8","alias_value":"ZW2GF2FK","created_at":"2026-07-05T09:19:20Z"}],"graph_snapshots":[{"event_id":"sha256:614153ebde04fbc503616d9152aa18d4dfad3a369d747b40bbd5db9e6e948e34","target":"graph","created_at":"2026-07-05T09:19:20Z","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/2410.09004/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. As the visual-language models (VLMs) can provide essential general knowledge on unseen images, freezing the visual encoder and inserting a domain-agnostic adapter can learn domain-invariant knowledge for DAOD. However, the domain-agnostic adapter is inevitably biased to the source domain. It discards some beneficial knowledge discriminative on the unlabelled domain, i.e., domain-specific knowledge of the target domain. To solve the issue, we propose a novel","authors_text":"Hantao Yao, Haochen Li, Ling Li, Rui Zhang, Xiaqing Li, Xinkai Song, Xin Zhang, Yifan Hao, Yongwei Zhao, Yunji Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T17:20:04Z","title":"DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.09004","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":"sha256:12a8e80d627448e2dd80fa075b64b96bbf6b4efeb763f3eddb46f3081842953b","target":"record","created_at":"2026-07-05T09:19:20Z","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":"fc53763901b6c97e7c9005cae45c451fffea5d6600f61ac40c61e951b8c058a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-11T17:20:04Z","title_canon_sha256":"1a71e05f20814cb7761cdd76c87af8f76022c3dee8984804503ff5da85f7d531"},"schema_version":"1.0","source":{"id":"2410.09004","kind":"arxiv","version":1}},"canonical_sha256":"cdb462e8aafd6a6a050437f04615261390296c20cbef9347558634d13dfd8edc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdb462e8aafd6a6a050437f04615261390296c20cbef9347558634d13dfd8edc","first_computed_at":"2026-07-05T09:19:20.596988Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:20.596988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yir1+Z7HlSNRYvCDVQ+XplAuQknDGgfUtZ+0KiHw9xXR2PeTPmytDx6sEr701fOrhsQfsKr/187h4HjpSN8JCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:20.597481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.09004","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12a8e80d627448e2dd80fa075b64b96bbf6b4efeb763f3eddb46f3081842953b","sha256:614153ebde04fbc503616d9152aa18d4dfad3a369d747b40bbd5db9e6e948e34"],"state_sha256":"63dcfb6880d88cbc13b1b87962b9bbb4093a78d1d8880a4aae610ba7326f8288"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/q8s1sjNwSYRt1Y9t+jjuLOzP4MzLHjZ9Iq2/6B4p6TUl/E7vmKLFd01s2+bOPTu4By6CrjiNibxrhe/+FLKCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:30:23.126254Z","bundle_sha256":"2d65fa2d7e865efaf14c9bbc4076d23012db18be8ba3f0988b3bffbc6752431f"}}