{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:QWWNZ5RUAQHCKYQHU2GRAQV7BA","short_pith_number":"pith:QWWNZ5RU","canonical_record":{"source":{"id":"2007.09271","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-17T23:01:17Z","cross_cats_sorted":[],"title_canon_sha256":"b14f4dc922ff21fb10e0ba7a29b66371f1f37f8d52177b607423a798c4582a56","abstract_canon_sha256":"e42c513ffa402cdd8842bbd9cb68c3107352250b969aaede918110df1349b1c9"},"schema_version":"1.0"},"canonical_sha256":"85acdcf634040e256207a68d1042bf0810664938e0df3279c11e64be9ad2f60f","source":{"kind":"arxiv","id":"2007.09271","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.09271","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.09271v2","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.09271","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_12","alias_value":"QWWNZ5RUAQHC","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_16","alias_value":"QWWNZ5RUAQHCKYQH","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_8","alias_value":"QWWNZ5RU","created_at":"2026-07-05T01:29:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:QWWNZ5RUAQHCKYQHU2GRAQV7BA","target":"record","payload":{"canonical_record":{"source":{"id":"2007.09271","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-17T23:01:17Z","cross_cats_sorted":[],"title_canon_sha256":"b14f4dc922ff21fb10e0ba7a29b66371f1f37f8d52177b607423a798c4582a56","abstract_canon_sha256":"e42c513ffa402cdd8842bbd9cb68c3107352250b969aaede918110df1349b1c9"},"schema_version":"1.0"},"canonical_sha256":"85acdcf634040e256207a68d1042bf0810664938e0df3279c11e64be9ad2f60f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:29:13.654363Z","signature_b64":"U45wOZfWZiv33enX6q6l3M40sjbD/xBh9gYMQYmnao0vHYb2jR0JlHxGc+BfN/YkuU3waoV5TlhoOpWMbTMmBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85acdcf634040e256207a68d1042bf0810664938e0df3279c11e64be9ad2f60f","last_reissued_at":"2026-07-05T01:29:13.653976Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:29:13.653976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.09271","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":"2026-07-05T01:29:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i2TNtIo+9wQvcjox8IZCLyjWzGVXBS/DDGgbJbfsTGSXskmmmFUnGNKxIDrmw+nU3g+B/xjrUaqTNMje2f/vAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T01:01:10.711162Z"},"content_sha256":"198c427da7880f8cd30267a5d010680b616bb25d7b9d60087fe39035f158f2f9","schema_version":"1.0","event_id":"sha256:198c427da7880f8cd30267a5d010680b616bb25d7b9d60087fe39035f158f2f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:QWWNZ5RUAQHCKYQHU2GRAQV7BA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OnlineAugment: Online Data Augmentation with Less Domain Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimitris Metaxas, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Yunhe Gao, Zhiqiang Tang","submitted_at":"2020-07-17T23:01:17Z","abstract_excerpt":"Data augmentation is one of the most important tools in training modern deep neural networks. Recently, great advances have been made in searching for optimal augmentation policies in the image classification domain. However, two key points related to data augmentation remain uncovered by the current methods. First is that most if not all modern augmentation search methods are offline and learning policies are isolated from their usage. The learned policies are mostly constant throughout the training process and are not adapted to the current training model state. Second, the policies rely on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.09271","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/2007.09271/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":"2026-07-05T01:29:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWLQgEzKwTmpHZ3B9c9g3ZAL+98zOqcROzSOQ1NN7/7myZLAKfz5rlRI5cmMvzy9q2Qle4AWBvUq0JB9S8RmBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T01:01:10.711708Z"},"content_sha256":"1d7ffe358ca58b699000b6dd4c633b52d9eea2e2eaeb79d27049f1d731b0277f","schema_version":"1.0","event_id":"sha256:1d7ffe358ca58b699000b6dd4c633b52d9eea2e2eaeb79d27049f1d731b0277f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/bundle.json","state_url":"https://pith.science/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/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":"2026-08-15T01:01:10Z","links":{"resolver":"https://pith.science/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA","bundle":"https://pith.science/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/bundle.json","state":"https://pith.science/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QWWNZ5RUAQHCKYQHU2GRAQV7BA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QWWNZ5RUAQHCKYQHU2GRAQV7BA","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":"e42c513ffa402cdd8842bbd9cb68c3107352250b969aaede918110df1349b1c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-17T23:01:17Z","title_canon_sha256":"b14f4dc922ff21fb10e0ba7a29b66371f1f37f8d52177b607423a798c4582a56"},"schema_version":"1.0","source":{"id":"2007.09271","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.09271","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"arxiv_version","alias_value":"2007.09271v2","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.09271","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_12","alias_value":"QWWNZ5RUAQHC","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_16","alias_value":"QWWNZ5RUAQHCKYQH","created_at":"2026-07-05T01:29:13Z"},{"alias_kind":"pith_short_8","alias_value":"QWWNZ5RU","created_at":"2026-07-05T01:29:13Z"}],"graph_snapshots":[{"event_id":"sha256:1d7ffe358ca58b699000b6dd4c633b52d9eea2e2eaeb79d27049f1d731b0277f","target":"graph","created_at":"2026-07-05T01:29:13Z","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/2007.09271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data augmentation is one of the most important tools in training modern deep neural networks. Recently, great advances have been made in searching for optimal augmentation policies in the image classification domain. However, two key points related to data augmentation remain uncovered by the current methods. First is that most if not all modern augmentation search methods are offline and learning policies are isolated from their usage. The learned policies are mostly constant throughout the training process and are not adapted to the current training model state. Second, the policies rely on ","authors_text":"Dimitris Metaxas, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Yunhe Gao, Zhiqiang Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-17T23:01:17Z","title":"OnlineAugment: Online Data Augmentation with Less Domain Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.09271","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":"sha256:198c427da7880f8cd30267a5d010680b616bb25d7b9d60087fe39035f158f2f9","target":"record","created_at":"2026-07-05T01:29:13Z","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":"e42c513ffa402cdd8842bbd9cb68c3107352250b969aaede918110df1349b1c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-17T23:01:17Z","title_canon_sha256":"b14f4dc922ff21fb10e0ba7a29b66371f1f37f8d52177b607423a798c4582a56"},"schema_version":"1.0","source":{"id":"2007.09271","kind":"arxiv","version":2}},"canonical_sha256":"85acdcf634040e256207a68d1042bf0810664938e0df3279c11e64be9ad2f60f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85acdcf634040e256207a68d1042bf0810664938e0df3279c11e64be9ad2f60f","first_computed_at":"2026-07-05T01:29:13.653976Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:29:13.653976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U45wOZfWZiv33enX6q6l3M40sjbD/xBh9gYMQYmnao0vHYb2jR0JlHxGc+BfN/YkuU3waoV5TlhoOpWMbTMmBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:29:13.654363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.09271","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:198c427da7880f8cd30267a5d010680b616bb25d7b9d60087fe39035f158f2f9","sha256:1d7ffe358ca58b699000b6dd4c633b52d9eea2e2eaeb79d27049f1d731b0277f"],"state_sha256":"b0a4380bb6670ad8445f591faab2e3d99dfda1210e8cb6c918ec612abd6ca787"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5pF6GyfQGxsWCLC4JldHRt6AQxQkf+wYXNg8cDo8PzlRkUPck9cC3+gUQSJbMNoEjDGDAvSDuRMRIZUo9S6YDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T01:01:10.734632Z","bundle_sha256":"823880006806ea330a998154efb3fa501a5df29c19b2ea0fdc6e8e4f163cf0a5"}}