{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GAIB2EBRSXYAHV7TIEG7TRTBQ5","short_pith_number":"pith:GAIB2EBR","canonical_record":{"source":{"id":"2402.04672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T08:57:59Z","cross_cats_sorted":[],"title_canon_sha256":"8b67ce9664f6f417325d5c125b225327aa037134168713e86cf18d19348301e4","abstract_canon_sha256":"af2a3b455191ad4d22e36c0e2a47ae6c48297f1040ef07187a80e30dfa314f37"},"schema_version":"1.0"},"canonical_sha256":"30101d103195f003d7f3410df9c66187601b3463c6271e3c3b73cecdf982d319","source":{"kind":"arxiv","id":"2402.04672","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04672","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04672v1","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04672","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_12","alias_value":"GAIB2EBRSXYA","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_16","alias_value":"GAIB2EBRSXYAHV7T","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_8","alias_value":"GAIB2EBR","created_at":"2026-07-05T07:42:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GAIB2EBRSXYAHV7TIEG7TRTBQ5","target":"record","payload":{"canonical_record":{"source":{"id":"2402.04672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T08:57:59Z","cross_cats_sorted":[],"title_canon_sha256":"8b67ce9664f6f417325d5c125b225327aa037134168713e86cf18d19348301e4","abstract_canon_sha256":"af2a3b455191ad4d22e36c0e2a47ae6c48297f1040ef07187a80e30dfa314f37"},"schema_version":"1.0"},"canonical_sha256":"30101d103195f003d7f3410df9c66187601b3463c6271e3c3b73cecdf982d319","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:42:30.651131Z","signature_b64":"4VwEHrix6yZ1gKRwGmf+5xHnXKcHzkw/DqBqy32OsMtqnK6MdahYc25tnkmIOYDqlh6fIrzpsUb0y1SQRIVhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30101d103195f003d7f3410df9c66187601b3463c6271e3c3b73cecdf982d319","last_reissued_at":"2026-07-05T07:42:30.650714Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:42:30.650714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.04672","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":"2026-07-05T07:42:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4XMXOPFwZs7UZJ9eKX2+jTTk7gydCNl0/lRTquAhWvengDC7m2+bq9l4P7qYwEB2YMA2gQyOTKzn/0ADNaraAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:33:10.549304Z"},"content_sha256":"8bc52e6b3fe2fba02edafeef301e8e0afb468da5652fe4fc64f3ba56e535f4e5","schema_version":"1.0","event_id":"sha256:8bc52e6b3fe2fba02edafeef301e8e0afb468da5652fe4fc64f3ba56e535f4e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GAIB2EBRSXYAHV7TIEG7TRTBQ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenghu Zhou, Fan Wu, Jinling Gao, Lanqing Hong, Nanyang Ye, Xinbing Wang","submitted_at":"2024-02-07T08:57:59Z","abstract_excerpt":"In this paper, we focus on a realistic yet challenging task, Single Domain Generalization Object Detection (S-DGOD), where only one source domain's data can be used for training object detectors, but have to generalize multiple distinct target domains. In S-DGOD, both high-capacity fitting and generalization abilities are needed due to the task's complexity. Differentiable Neural Architecture Search (NAS) is known for its high capacity for complex data fitting and we propose to leverage Differentiable NAS to solve S-DGOD. However, it may confront severe over-fitting issues due to the feature i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04672","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/2402.04672/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":"2026-07-05T07:42:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xn6068Q51fmTfYNnlSYc18z5nj6elADVV0/3m4pB5jAZd588DYMSlyqWIjlT3AZS6zmrk2WHULDBVn5ig5F5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:33:10.549779Z"},"content_sha256":"17c147ff3b947ef2fdf54f7e016fdd3141bdb91c62786bda9bae1c68d4de8f14","schema_version":"1.0","event_id":"sha256:17c147ff3b947ef2fdf54f7e016fdd3141bdb91c62786bda9bae1c68d4de8f14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/bundle.json","state_url":"https://pith.science/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/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":"2026-08-05T18:33:10Z","links":{"resolver":"https://pith.science/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5","bundle":"https://pith.science/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/bundle.json","state":"https://pith.science/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GAIB2EBRSXYAHV7TIEG7TRTBQ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GAIB2EBRSXYAHV7TIEG7TRTBQ5","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":"af2a3b455191ad4d22e36c0e2a47ae6c48297f1040ef07187a80e30dfa314f37","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T08:57:59Z","title_canon_sha256":"8b67ce9664f6f417325d5c125b225327aa037134168713e86cf18d19348301e4"},"schema_version":"1.0","source":{"id":"2402.04672","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04672","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04672v1","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04672","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_12","alias_value":"GAIB2EBRSXYA","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_16","alias_value":"GAIB2EBRSXYAHV7T","created_at":"2026-07-05T07:42:30Z"},{"alias_kind":"pith_short_8","alias_value":"GAIB2EBR","created_at":"2026-07-05T07:42:30Z"}],"graph_snapshots":[{"event_id":"sha256:17c147ff3b947ef2fdf54f7e016fdd3141bdb91c62786bda9bae1c68d4de8f14","target":"graph","created_at":"2026-07-05T07:42:30Z","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/2402.04672/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we focus on a realistic yet challenging task, Single Domain Generalization Object Detection (S-DGOD), where only one source domain's data can be used for training object detectors, but have to generalize multiple distinct target domains. In S-DGOD, both high-capacity fitting and generalization abilities are needed due to the task's complexity. Differentiable Neural Architecture Search (NAS) is known for its high capacity for complex data fitting and we propose to leverage Differentiable NAS to solve S-DGOD. However, it may confront severe over-fitting issues due to the feature i","authors_text":"Chenghu Zhou, Fan Wu, Jinling Gao, Lanqing Hong, Nanyang Ye, Xinbing Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T08:57:59Z","title":"G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04672","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":"sha256:8bc52e6b3fe2fba02edafeef301e8e0afb468da5652fe4fc64f3ba56e535f4e5","target":"record","created_at":"2026-07-05T07:42:30Z","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":"af2a3b455191ad4d22e36c0e2a47ae6c48297f1040ef07187a80e30dfa314f37","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T08:57:59Z","title_canon_sha256":"8b67ce9664f6f417325d5c125b225327aa037134168713e86cf18d19348301e4"},"schema_version":"1.0","source":{"id":"2402.04672","kind":"arxiv","version":1}},"canonical_sha256":"30101d103195f003d7f3410df9c66187601b3463c6271e3c3b73cecdf982d319","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30101d103195f003d7f3410df9c66187601b3463c6271e3c3b73cecdf982d319","first_computed_at":"2026-07-05T07:42:30.650714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:42:30.650714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4VwEHrix6yZ1gKRwGmf+5xHnXKcHzkw/DqBqy32OsMtqnK6MdahYc25tnkmIOYDqlh6fIrzpsUb0y1SQRIVhCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:42:30.651131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04672","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bc52e6b3fe2fba02edafeef301e8e0afb468da5652fe4fc64f3ba56e535f4e5","sha256:17c147ff3b947ef2fdf54f7e016fdd3141bdb91c62786bda9bae1c68d4de8f14"],"state_sha256":"dce12fe691e04e9a7b23331a0c05097d486c89713a9ba619dc4669d4c706436c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qeBikq3qDy0bMCSJgR2YZf7q/t8TR/rZNxtk/GBXolGUd3mQStlJtlKYRTTNOYtLanT1b99oh4z4KvUP8NAsCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:33:10.553244Z","bundle_sha256":"4cf75459eb3b424d88ad4dd2d0d9987bc9f8a8b0b957cccd46096a661f32a7d1"}}