{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:7VG6KXAOBPV53ADCP5I4OWG74D","short_pith_number":"pith:7VG6KXAO","canonical_record":{"source":{"id":"2005.06717","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-14T04:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"11c8e8868a49b9c5aa37acf88889a0b7c9a04581f1128d5b78681855b52c03b3","abstract_canon_sha256":"d65293769d380ad9c516297ae6de6d1d67804b62fb46a79442aa2d8b59210aee"},"schema_version":"1.0"},"canonical_sha256":"fd4de55c0e0bebdd80627f51c758dfe0cfb53eead1618c91092dfcb00615d878","source":{"kind":"arxiv","id":"2005.06717","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.06717","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"arxiv_version","alias_value":"2005.06717v1","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.06717","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_12","alias_value":"7VG6KXAOBPV5","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_16","alias_value":"7VG6KXAOBPV53ADC","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_8","alias_value":"7VG6KXAO","created_at":"2026-07-05T01:02:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:7VG6KXAOBPV53ADCP5I4OWG74D","target":"record","payload":{"canonical_record":{"source":{"id":"2005.06717","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-14T04:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"11c8e8868a49b9c5aa37acf88889a0b7c9a04581f1128d5b78681855b52c03b3","abstract_canon_sha256":"d65293769d380ad9c516297ae6de6d1d67804b62fb46a79442aa2d8b59210aee"},"schema_version":"1.0"},"canonical_sha256":"fd4de55c0e0bebdd80627f51c758dfe0cfb53eead1618c91092dfcb00615d878","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:02:49.640096Z","signature_b64":"oX3eSQ+i+PQDn6d2by47mW90RIKz86jCFVojl1LCpuX9+ZcRn29EM7y8Tyz+8t5VOXu002GkqBFZtIbfmex9Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd4de55c0e0bebdd80627f51c758dfe0cfb53eead1618c91092dfcb00615d878","last_reissued_at":"2026-07-05T01:02:49.638939Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:02:49.638939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.06717","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":"2026-07-05T01:02:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vvp7OqsIdrvmLJ0Cv6uyDRA9fP9dvHrbfzCwlu7cIDGdEYGVVZNYQ0fTWhq+ra72kPT3fFB0Y8TP8OBq6sEMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:24:29.356231Z"},"content_sha256":"ab668ef1e76a5914b1d70f7c8b3f4da3f526f417e5074fc360ae45f329872b73","schema_version":"1.0","event_id":"sha256:ab668ef1e76a5914b1d70f7c8b3f4da3f526f417e5074fc360ae45f329872b73"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:7VG6KXAOBPV53ADCP5I4OWG74D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Conditioned Adaptation Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binhui Xie, Chi Harold Liu, Gao Huang, Jian Tang, Qiuxia Lin, Shuang Li, Zhengming Ding","submitted_at":"2020-05-14T04:23:24Z","abstract_excerpt":"Tremendous research efforts have been made to thrive deep domain adaptation (DA) by seeking domain-invariant features. Most existing deep DA models only focus on aligning feature representations of task-specific layers across domains while integrating a totally shared convolutional architecture for source and target. However, we argue that such strongly-shared convolutional layers might be harmful for domain-specific feature learning when source and target data distribution differs to a large extent. In this paper, we relax a shared-convnets assumption made by previous DA methods and propose a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.06717","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/2005.06717/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":"2026-07-05T01:02:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/qLByfnp7ZNgc00FsjWL0lF6UdJ8HgT2EQE0csJWYjn+yrF2K+adp2yCzglT0P+4ILg8mF4WR6OZO1s6fedvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:24:29.356618Z"},"content_sha256":"658fcdc5f29efa508f026c9b3921b3626f67fccf216a91fd53db607ac2f6b324","schema_version":"1.0","event_id":"sha256:658fcdc5f29efa508f026c9b3921b3626f67fccf216a91fd53db607ac2f6b324"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7VG6KXAOBPV53ADCP5I4OWG74D/bundle.json","state_url":"https://pith.science/pith/7VG6KXAOBPV53ADCP5I4OWG74D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7VG6KXAOBPV53ADCP5I4OWG74D/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":"2026-07-07T09:24:29Z","links":{"resolver":"https://pith.science/pith/7VG6KXAOBPV53ADCP5I4OWG74D","bundle":"https://pith.science/pith/7VG6KXAOBPV53ADCP5I4OWG74D/bundle.json","state":"https://pith.science/pith/7VG6KXAOBPV53ADCP5I4OWG74D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7VG6KXAOBPV53ADCP5I4OWG74D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7VG6KXAOBPV53ADCP5I4OWG74D","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":"d65293769d380ad9c516297ae6de6d1d67804b62fb46a79442aa2d8b59210aee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-14T04:23:24Z","title_canon_sha256":"11c8e8868a49b9c5aa37acf88889a0b7c9a04581f1128d5b78681855b52c03b3"},"schema_version":"1.0","source":{"id":"2005.06717","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.06717","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"arxiv_version","alias_value":"2005.06717v1","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.06717","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_12","alias_value":"7VG6KXAOBPV5","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_16","alias_value":"7VG6KXAOBPV53ADC","created_at":"2026-07-05T01:02:49Z"},{"alias_kind":"pith_short_8","alias_value":"7VG6KXAO","created_at":"2026-07-05T01:02:49Z"}],"graph_snapshots":[{"event_id":"sha256:658fcdc5f29efa508f026c9b3921b3626f67fccf216a91fd53db607ac2f6b324","target":"graph","created_at":"2026-07-05T01:02:49Z","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/2005.06717/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tremendous research efforts have been made to thrive deep domain adaptation (DA) by seeking domain-invariant features. Most existing deep DA models only focus on aligning feature representations of task-specific layers across domains while integrating a totally shared convolutional architecture for source and target. However, we argue that such strongly-shared convolutional layers might be harmful for domain-specific feature learning when source and target data distribution differs to a large extent. In this paper, we relax a shared-convnets assumption made by previous DA methods and propose a","authors_text":"Binhui Xie, Chi Harold Liu, Gao Huang, Jian Tang, Qiuxia Lin, Shuang Li, Zhengming Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-14T04:23:24Z","title":"Domain Conditioned Adaptation Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.06717","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:ab668ef1e76a5914b1d70f7c8b3f4da3f526f417e5074fc360ae45f329872b73","target":"record","created_at":"2026-07-05T01:02:49Z","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":"d65293769d380ad9c516297ae6de6d1d67804b62fb46a79442aa2d8b59210aee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-14T04:23:24Z","title_canon_sha256":"11c8e8868a49b9c5aa37acf88889a0b7c9a04581f1128d5b78681855b52c03b3"},"schema_version":"1.0","source":{"id":"2005.06717","kind":"arxiv","version":1}},"canonical_sha256":"fd4de55c0e0bebdd80627f51c758dfe0cfb53eead1618c91092dfcb00615d878","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd4de55c0e0bebdd80627f51c758dfe0cfb53eead1618c91092dfcb00615d878","first_computed_at":"2026-07-05T01:02:49.638939Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:02:49.638939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oX3eSQ+i+PQDn6d2by47mW90RIKz86jCFVojl1LCpuX9+ZcRn29EM7y8Tyz+8t5VOXu002GkqBFZtIbfmex9Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:02:49.640096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.06717","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab668ef1e76a5914b1d70f7c8b3f4da3f526f417e5074fc360ae45f329872b73","sha256:658fcdc5f29efa508f026c9b3921b3626f67fccf216a91fd53db607ac2f6b324"],"state_sha256":"954b68f6d5ecc8d08983497f5059c68d1de8ccb19edd9e90d2f85865b43dc2ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FSVh/MzEhsH9T7bxKVAGmDBdYHweGZp22qA4yQkyw6ZoiZeup7bp1JTNJy6gP6LafeQk0RvBvSOCbTMn98PvBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:24:29.359098Z","bundle_sha256":"77ba42ee0a03ea8f25ff24a8c482a96d68fc04df8af9da2c0435f462e36028f6"}}