{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:NSYSCQLB6TMZIUUT2K7YYMYXJB","short_pith_number":"pith:NSYSCQLB","canonical_record":{"source":{"id":"2109.05765","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T08:12:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a524eed7de162c6e3f416d5df1db79ffcc8b97f4a3a2373dfc9abb40b36c6fbf","abstract_canon_sha256":"6c96d20bdae51ad18562e0500ff6808c98a5965bc85d08d0f9eb25363ffb589a"},"schema_version":"1.0"},"canonical_sha256":"6cb1214161f4d9945293d2bf8c3317485a7a6597b9cad3fae30344402dbde6f8","source":{"kind":"arxiv","id":"2109.05765","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.05765","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"arxiv_version","alias_value":"2109.05765v2","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.05765","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_12","alias_value":"NSYSCQLB6TMZ","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_16","alias_value":"NSYSCQLB6TMZIUUT","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_8","alias_value":"NSYSCQLB","created_at":"2026-07-05T05:56:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:NSYSCQLB6TMZIUUT2K7YYMYXJB","target":"record","payload":{"canonical_record":{"source":{"id":"2109.05765","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T08:12:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a524eed7de162c6e3f416d5df1db79ffcc8b97f4a3a2373dfc9abb40b36c6fbf","abstract_canon_sha256":"6c96d20bdae51ad18562e0500ff6808c98a5965bc85d08d0f9eb25363ffb589a"},"schema_version":"1.0"},"canonical_sha256":"6cb1214161f4d9945293d2bf8c3317485a7a6597b9cad3fae30344402dbde6f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:56:25.730716Z","signature_b64":"TqUypeK2cO3kX0GoRMRTo8n7yocZIx/ik5Cqkvqjr/om9QXYFsLZj52KC/b5QmFcsqcBvrWCQgi6dXDmMZXTAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6cb1214161f4d9945293d2bf8c3317485a7a6597b9cad3fae30344402dbde6f8","last_reissued_at":"2026-07-05T05:56:25.730262Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:56:25.730262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.05765","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ytjJUIOyyBb04ulNfi8kpIvO+60dvU/vhmDpIkyPmlwx+iYKP19ZUIRFp6cpQ91OQ2Kfb0je9XPvKzcSBY9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:11:21.238424Z"},"content_sha256":"87151482feb1d4d4c91caa5aadeceb743a19d9b03044696a39c66df772bf7cbd","schema_version":"1.0","event_id":"sha256:87151482feb1d4d4c91caa5aadeceb743a19d9b03044696a39c66df772bf7cbd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:NSYSCQLB6TMZIUUT2K7YYMYXJB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Binxin Ru, Fengwei Zhou, Jiashi Feng, Kaichen Zhou, Lanqing Hong, Shoukang Hu, Zhenguo Li","submitted_at":"2021-09-13T08:12:50Z","abstract_excerpt":"Automated machine learning (AutoML) usually involves several crucial components, such as Data Augmentation (DA) policy, Hyper-Parameter Optimization (HPO), and Neural Architecture Search (NAS). Although many strategies have been developed for automating these components in separation, joint optimization of these components remains challenging due to the largely increased search dimension and the variant input types of each component. In parallel to this, the common practice of searching for the optimal architecture first and then retraining it before deployment in NAS often suffers from low pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.05765","kind":"arxiv","version":2},"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/2109.05765/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":"2026-07-05T05:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iIt+gv0RPujCR9AAez1zf+IfCes1Do90wbnaxI0YDLCfaF/kTsYnO0Ncs4yBYAfeOrM0QarmygyNw0l9yGZCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:11:21.238922Z"},"content_sha256":"3be95784fc6622b8dd69bc2579b411e38f8983ebb3bf0c0d1eda351dcfd8df4c","schema_version":"1.0","event_id":"sha256:3be95784fc6622b8dd69bc2579b411e38f8983ebb3bf0c0d1eda351dcfd8df4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/bundle.json","state_url":"https://pith.science/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/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":"2026-08-06T21:11:21Z","links":{"resolver":"https://pith.science/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB","bundle":"https://pith.science/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/bundle.json","state":"https://pith.science/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NSYSCQLB6TMZIUUT2K7YYMYXJB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NSYSCQLB6TMZIUUT2K7YYMYXJB","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":"6c96d20bdae51ad18562e0500ff6808c98a5965bc85d08d0f9eb25363ffb589a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T08:12:50Z","title_canon_sha256":"a524eed7de162c6e3f416d5df1db79ffcc8b97f4a3a2373dfc9abb40b36c6fbf"},"schema_version":"1.0","source":{"id":"2109.05765","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.05765","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"arxiv_version","alias_value":"2109.05765v2","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.05765","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_12","alias_value":"NSYSCQLB6TMZ","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_16","alias_value":"NSYSCQLB6TMZIUUT","created_at":"2026-07-05T05:56:25Z"},{"alias_kind":"pith_short_8","alias_value":"NSYSCQLB","created_at":"2026-07-05T05:56:25Z"}],"graph_snapshots":[{"event_id":"sha256:3be95784fc6622b8dd69bc2579b411e38f8983ebb3bf0c0d1eda351dcfd8df4c","target":"graph","created_at":"2026-07-05T05:56:25Z","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/2109.05765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated machine learning (AutoML) usually involves several crucial components, such as Data Augmentation (DA) policy, Hyper-Parameter Optimization (HPO), and Neural Architecture Search (NAS). Although many strategies have been developed for automating these components in separation, joint optimization of these components remains challenging due to the largely increased search dimension and the variant input types of each component. In parallel to this, the common practice of searching for the optimal architecture first and then retraining it before deployment in NAS often suffers from low pe","authors_text":"Binxin Ru, Fengwei Zhou, Jiashi Feng, Kaichen Zhou, Lanqing Hong, Shoukang Hu, Zhenguo Li","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T08:12:50Z","title":"DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.05765","kind":"arxiv","version":2},"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":"sha256:87151482feb1d4d4c91caa5aadeceb743a19d9b03044696a39c66df772bf7cbd","target":"record","created_at":"2026-07-05T05:56:25Z","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":"6c96d20bdae51ad18562e0500ff6808c98a5965bc85d08d0f9eb25363ffb589a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T08:12:50Z","title_canon_sha256":"a524eed7de162c6e3f416d5df1db79ffcc8b97f4a3a2373dfc9abb40b36c6fbf"},"schema_version":"1.0","source":{"id":"2109.05765","kind":"arxiv","version":2}},"canonical_sha256":"6cb1214161f4d9945293d2bf8c3317485a7a6597b9cad3fae30344402dbde6f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cb1214161f4d9945293d2bf8c3317485a7a6597b9cad3fae30344402dbde6f8","first_computed_at":"2026-07-05T05:56:25.730262Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:25.730262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TqUypeK2cO3kX0GoRMRTo8n7yocZIx/ik5Cqkvqjr/om9QXYFsLZj52KC/b5QmFcsqcBvrWCQgi6dXDmMZXTAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:25.730716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.05765","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87151482feb1d4d4c91caa5aadeceb743a19d9b03044696a39c66df772bf7cbd","sha256:3be95784fc6622b8dd69bc2579b411e38f8983ebb3bf0c0d1eda351dcfd8df4c"],"state_sha256":"5e30d952aa4c5c0b2d94e9b06f8d9a08b907d9364d70c7a1788bc865bfeff76a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"90VG9ESZLIgBJPJArHXK+3Xmx9sB6G27udDJi8rkYccJB6c7H3yeGmMZk6UGC/iS8BEozAsz5EHSIT39XS5pAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:11:21.242845Z","bundle_sha256":"c21cfeeecc136bb55016bec3fd3f9211a6c8c913c376d37438489f42f9544510"}}