{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZHTFBQLTWAT3M7H3RW2R2WLO7J","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":"3748fc7d5e50a9c26e30120ecb05f2df029065b531ad58bcdafed6fe0f74166f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T15:57:20Z","title_canon_sha256":"7e7509847ae487fc465589bf74799bd55622eb26e7e6b5431bb471b6b04759b4"},"schema_version":"1.0","source":{"id":"2102.07615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.07615","created_at":"2026-07-05T02:15:18Z"},{"alias_kind":"arxiv_version","alias_value":"2102.07615v1","created_at":"2026-07-05T02:15:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.07615","created_at":"2026-07-05T02:15:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZHTFBQLTWAT3","created_at":"2026-07-05T02:15:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZHTFBQLTWAT3M7H3","created_at":"2026-07-05T02:15:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZHTFBQLT","created_at":"2026-07-05T02:15:18Z"}],"graph_snapshots":[{"event_id":"sha256:c3c8ba9fb19d46fc4c86add6a6eaa1d9bbf5b8c711bc531b4709e28a22bb68ce","target":"graph","created_at":"2026-07-05T02:15:18Z","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/2102.07615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we consider a type of image quality assessment as a task-specific measurement, which can be used to select images that are more amenable to a given target task, such as image classification or segmentation. We propose to train simultaneously two neural networks for image selection and a target task using reinforcement learning. A controller network learns an image selection policy by maximising an accumulated reward based on the target task performance on the controller-selected validation set, whilst the target task predictor is optimised using the training set. The trained con","authors_text":"Dean C. Barratt, Geoffrey A. Sonn, Mirabela Rusu, Qianye Yang, Richard E. Fan, Shaheer U. Saeed, Yipeng Hu, Yunguan Fu, Zachary M. C. Baum","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T15:57:20Z","title":"Learning image quality assessment by reinforcing task amenable data selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.07615","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":"sha256:02cf14deea4d3d4b7b9b27fb472030a723572a40f5a4576d2979e3c1307fa6b5","target":"record","created_at":"2026-07-05T02:15:18Z","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":"3748fc7d5e50a9c26e30120ecb05f2df029065b531ad58bcdafed6fe0f74166f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T15:57:20Z","title_canon_sha256":"7e7509847ae487fc465589bf74799bd55622eb26e7e6b5431bb471b6b04759b4"},"schema_version":"1.0","source":{"id":"2102.07615","kind":"arxiv","version":1}},"canonical_sha256":"c9e650c173b027b67cfb8db51d596efa4e8466e96ec120f6c824d107de350eb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9e650c173b027b67cfb8db51d596efa4e8466e96ec120f6c824d107de350eb4","first_computed_at":"2026-07-05T02:15:18.156426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:15:18.156426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ah093THF+Hjp3rp1mMFFVbKqKdpWaOZrg/9IiENupcePAVjvyFJ7MSihh2ggKud820ilcq1E/4MgQEfswnv+Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:15:18.156780Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.07615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02cf14deea4d3d4b7b9b27fb472030a723572a40f5a4576d2979e3c1307fa6b5","sha256:c3c8ba9fb19d46fc4c86add6a6eaa1d9bbf5b8c711bc531b4709e28a22bb68ce"],"state_sha256":"1654ed9c2aed420d20148b5f9d5d0c973142994cba9c40629aee44a919ac5db9"}