{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EYCID5RLSPRYY7GIICU2IJSTQD","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":"92329adc6a2d019e7de6eda39d0081a9f24f64e0c3080fd59b209c6a14e14180","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-03-27T08:19:01Z","title_canon_sha256":"7fd8bd10c3109abab68d1eba51e92739d1b84d6d5382c0e521196290a26a65a2"},"schema_version":"1.0","source":{"id":"2303.14978","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.14978","created_at":"2026-07-05T05:54:57Z"},{"alias_kind":"arxiv_version","alias_value":"2303.14978v1","created_at":"2026-07-05T05:54:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.14978","created_at":"2026-07-05T05:54:57Z"},{"alias_kind":"pith_short_12","alias_value":"EYCID5RLSPRY","created_at":"2026-07-05T05:54:57Z"},{"alias_kind":"pith_short_16","alias_value":"EYCID5RLSPRYY7GI","created_at":"2026-07-05T05:54:57Z"},{"alias_kind":"pith_short_8","alias_value":"EYCID5RL","created_at":"2026-07-05T05:54:57Z"}],"graph_snapshots":[{"event_id":"sha256:a2e20f15697dc220ca88dcd2be317dcab9c952bf413a9fecce79c91f820fe693","target":"graph","created_at":"2026-07-05T05:54:57Z","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/2303.14978/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learned image compression (LIC) methods have exhibited promising progress and superior rate-distortion performance compared with classical image compression standards. Most existing LIC methods are Convolutional Neural Networks-based (CNN-based) or Transformer-based, which have different advantages. Exploiting both advantages is a point worth exploring, which has two challenges: 1) how to effectively fuse the two methods? 2) how to achieve higher performance with a suitable complexity? In this paper, we propose an efficient parallel Transformer-CNN Mixture (TCM) block with a controllable compl","authors_text":"Heming Sun, Jinming Liu, Jiro Katto","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-03-27T08:19:01Z","title":"Learned Image Compression with Mixed Transformer-CNN Architectures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.14978","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:f21ba7489d13057dd9404c05d51730e242a03eb1052e7cff2e6b257771463872","target":"record","created_at":"2026-07-05T05:54:57Z","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":"92329adc6a2d019e7de6eda39d0081a9f24f64e0c3080fd59b209c6a14e14180","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-03-27T08:19:01Z","title_canon_sha256":"7fd8bd10c3109abab68d1eba51e92739d1b84d6d5382c0e521196290a26a65a2"},"schema_version":"1.0","source":{"id":"2303.14978","kind":"arxiv","version":1}},"canonical_sha256":"260481f62b93e38c7cc840a9a4265380d1ad3f1c7448168209da410c4a29b45e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"260481f62b93e38c7cc840a9a4265380d1ad3f1c7448168209da410c4a29b45e","first_computed_at":"2026-07-05T05:54:57.896678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:54:57.896678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+MSPW5jKAiGvAmAb844NVc4qVJTN94IVWD+Au5ECVTR5orJ+slm+BKnR3GPs20Aw/d+CY6d0z+OhF0QUJ52kAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:54:57.897075Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.14978","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f21ba7489d13057dd9404c05d51730e242a03eb1052e7cff2e6b257771463872","sha256:a2e20f15697dc220ca88dcd2be317dcab9c952bf413a9fecce79c91f820fe693"],"state_sha256":"8a18c8d767dc991bcc4a95d506d8b74ca65b0d871689120e88bd4130f0d7fbfb"}