{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7IV7IKMBDYNLKI6KU65IST22AP","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":"f40713aad009af00a41d01a55489a813172b18f9ec39c87790fa25830dceaed1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:58:45Z","title_canon_sha256":"1546d55d18ab6a27dba2c7798d14d27e746a300ff45ed2a36fb7436704d13332"},"schema_version":"1.0","source":{"id":"1803.05863","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05863","created_at":"2026-05-18T00:01:09Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05863v3","created_at":"2026-05-18T00:01:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05863","created_at":"2026-05-18T00:01:09Z"},{"alias_kind":"pith_short_12","alias_value":"7IV7IKMBDYNL","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7IV7IKMBDYNLKI6K","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7IV7IKMB","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:b50a845198517dbf525aebdfeeb8af40f5ebfb89a791024236b481e6e9450167","target":"graph","created_at":"2026-05-18T00:01:09Z","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"},"paper":{"abstract_excerpt":"For lossy image compression systems, we develop an algorithm, iterative refinement, to improve the decoder's reconstruction compared to standard decoding techniques. Specifically, we propose a recurrent neural network approach for nonlinear, iterative decoding. Our decoder, which works with any encoder, employs self-connected memory units that make use of causal and non-causal spatial context information to progressively reduce reconstruction error over a fixed number of steps. We experiment with variants of our estimator and find that iterative refinement consistently creates lower distortion","authors_text":"Alexander G. Ororbia, Ankur Mali, C. Lee Giles, David Miller, Jian Wu, Scott O'Connell","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:58:45Z","title":"Learned Neural Iterative Decoding for Lossy Image Compression Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05863","kind":"arxiv","version":3},"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:e0a9bc836380c81696faf4916308c6e0cdaf3528a911e3ef9699ebe866d69f62","target":"record","created_at":"2026-05-18T00:01:09Z","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":"f40713aad009af00a41d01a55489a813172b18f9ec39c87790fa25830dceaed1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:58:45Z","title_canon_sha256":"1546d55d18ab6a27dba2c7798d14d27e746a300ff45ed2a36fb7436704d13332"},"schema_version":"1.0","source":{"id":"1803.05863","kind":"arxiv","version":3}},"canonical_sha256":"fa2bf429811e1ab523caa7ba894f5a03f61721a7990a2cbe6ad2790a4dfa92c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa2bf429811e1ab523caa7ba894f5a03f61721a7990a2cbe6ad2790a4dfa92c4","first_computed_at":"2026-05-18T00:01:09.686035Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:09.686035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YXwmi1tpWP9CtvU2Y1E0BhmuJNzfDD5Sl52Mg9gtoNQ9k8PX4lvnnNSlTKsdF13MoATD1IUx2jVkz5CyAOucCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:09.686836Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.05863","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0a9bc836380c81696faf4916308c6e0cdaf3528a911e3ef9699ebe866d69f62","sha256:b50a845198517dbf525aebdfeeb8af40f5ebfb89a791024236b481e6e9450167"],"state_sha256":"8655649834a7fccd12e17c4a35f74334b5fea6ac689da3682fbd511df4094e9d"}