{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SWECS7NK35BG52LWDIHWOLHN43","short_pith_number":"pith:SWECS7NK","canonical_record":{"source":{"id":"2204.12022","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-04-26T01:35:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f4d907e0fd008e76b876c3eab2ed0504cfcd1f68940e03187be949334253ea32","abstract_canon_sha256":"ddce719e22bd5c390b0fc713d4e46dc20542b94ff218fffbdaf4aaf8daecd4ef"},"schema_version":"1.0"},"canonical_sha256":"9588297daadf426ee9761a0f672cede6eb3c3ccda454e52a574d88cdfada636e","source":{"kind":"arxiv","id":"2204.12022","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.12022","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"arxiv_version","alias_value":"2204.12022v1","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.12022","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_12","alias_value":"SWECS7NK35BG","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_16","alias_value":"SWECS7NK35BG52LW","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_8","alias_value":"SWECS7NK","created_at":"2026-07-05T04:17:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SWECS7NK35BG52LWDIHWOLHN43","target":"record","payload":{"canonical_record":{"source":{"id":"2204.12022","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-04-26T01:35:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f4d907e0fd008e76b876c3eab2ed0504cfcd1f68940e03187be949334253ea32","abstract_canon_sha256":"ddce719e22bd5c390b0fc713d4e46dc20542b94ff218fffbdaf4aaf8daecd4ef"},"schema_version":"1.0"},"canonical_sha256":"9588297daadf426ee9761a0f672cede6eb3c3ccda454e52a574d88cdfada636e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:17:43.613242Z","signature_b64":"zfcnDGASx8iYDjR9FHfWPnI0OlrVlrcHmO7wuw+lZcrkrlywQyv4YIb8JBKsGWxUs3np3f5TDfy28OHJcQgfAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9588297daadf426ee9761a0f672cede6eb3c3ccda454e52a574d88cdfada636e","last_reissued_at":"2026-07-05T04:17:43.612759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:17:43.612759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.12022","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:17:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8giPcE2d6aBZ978Wx0KPtrIe3+++KmwYp3emAZCQvd756P+OQKRIs/1ByNuvGfAcRNu6WMAvY6qjZ7Ddk+uYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T09:50:31.494363Z"},"content_sha256":"a0884b39c521e3d673c5c56ea71626d070e4858c45d4834b12d2d1aa77219e2c","schema_version":"1.0","event_id":"sha256:a0884b39c521e3d673c5c56ea71626d070e4858c45d4834b12d2d1aa77219e2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SWECS7NK35BG52LWDIHWOLHN43","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Estimating the Resize Parameter in End-to-end Learned Image Compression","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Alan C. Bovik, Christos G. Bampis, Li-Heng Chen, Luk\\'a\\v{s} Krasula, Zhi Li","submitted_at":"2022-04-26T01:35:02Z","abstract_excerpt":"We describe a search-free resizing framework that can further improve the rate-distortion tradeoff of recent learned image compression models. Our approach is simple: compose a pair of differentiable downsampling/upsampling layers that sandwich a neural compression model. To determine resize factors for different inputs, we utilize another neural network jointly trained with the compression model, with the end goal of minimizing the rate-distortion objective. Our results suggest that \"compression friendly\" downsampled representations can be quickly determined during encoding by using an auxili"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.12022","kind":"arxiv","version":1},"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/2204.12022/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":"2026-07-05T04:17:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0PT6RvyQwyxDYeCpCC+0a+sccJT/LRMIrAfHjKwBXTe15QlmmTAaqtyJwVCLxTuUs9dRG5xoWDwqVtAcGEdbCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T09:50:31.494753Z"},"content_sha256":"628a92082a87b0da118a377a668acb285ae9d008425be579f4cf341941e222a6","schema_version":"1.0","event_id":"sha256:628a92082a87b0da118a377a668acb285ae9d008425be579f4cf341941e222a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SWECS7NK35BG52LWDIHWOLHN43/bundle.json","state_url":"https://pith.science/pith/SWECS7NK35BG52LWDIHWOLHN43/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SWECS7NK35BG52LWDIHWOLHN43/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":"2026-07-11T09:50:31Z","links":{"resolver":"https://pith.science/pith/SWECS7NK35BG52LWDIHWOLHN43","bundle":"https://pith.science/pith/SWECS7NK35BG52LWDIHWOLHN43/bundle.json","state":"https://pith.science/pith/SWECS7NK35BG52LWDIHWOLHN43/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SWECS7NK35BG52LWDIHWOLHN43/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SWECS7NK35BG52LWDIHWOLHN43","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":"ddce719e22bd5c390b0fc713d4e46dc20542b94ff218fffbdaf4aaf8daecd4ef","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-04-26T01:35:02Z","title_canon_sha256":"f4d907e0fd008e76b876c3eab2ed0504cfcd1f68940e03187be949334253ea32"},"schema_version":"1.0","source":{"id":"2204.12022","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.12022","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"arxiv_version","alias_value":"2204.12022v1","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.12022","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_12","alias_value":"SWECS7NK35BG","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_16","alias_value":"SWECS7NK35BG52LW","created_at":"2026-07-05T04:17:43Z"},{"alias_kind":"pith_short_8","alias_value":"SWECS7NK","created_at":"2026-07-05T04:17:43Z"}],"graph_snapshots":[{"event_id":"sha256:628a92082a87b0da118a377a668acb285ae9d008425be579f4cf341941e222a6","target":"graph","created_at":"2026-07-05T04:17:43Z","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/2204.12022/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We describe a search-free resizing framework that can further improve the rate-distortion tradeoff of recent learned image compression models. Our approach is simple: compose a pair of differentiable downsampling/upsampling layers that sandwich a neural compression model. To determine resize factors for different inputs, we utilize another neural network jointly trained with the compression model, with the end goal of minimizing the rate-distortion objective. Our results suggest that \"compression friendly\" downsampled representations can be quickly determined during encoding by using an auxili","authors_text":"Alan C. Bovik, Christos G. Bampis, Li-Heng Chen, Luk\\'a\\v{s} Krasula, Zhi Li","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-04-26T01:35:02Z","title":"Estimating the Resize Parameter in End-to-end Learned Image Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.12022","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:a0884b39c521e3d673c5c56ea71626d070e4858c45d4834b12d2d1aa77219e2c","target":"record","created_at":"2026-07-05T04:17:43Z","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":"ddce719e22bd5c390b0fc713d4e46dc20542b94ff218fffbdaf4aaf8daecd4ef","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-04-26T01:35:02Z","title_canon_sha256":"f4d907e0fd008e76b876c3eab2ed0504cfcd1f68940e03187be949334253ea32"},"schema_version":"1.0","source":{"id":"2204.12022","kind":"arxiv","version":1}},"canonical_sha256":"9588297daadf426ee9761a0f672cede6eb3c3ccda454e52a574d88cdfada636e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9588297daadf426ee9761a0f672cede6eb3c3ccda454e52a574d88cdfada636e","first_computed_at":"2026-07-05T04:17:43.612759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:43.612759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zfcnDGASx8iYDjR9FHfWPnI0OlrVlrcHmO7wuw+lZcrkrlywQyv4YIb8JBKsGWxUs3np3f5TDfy28OHJcQgfAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:43.613242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.12022","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0884b39c521e3d673c5c56ea71626d070e4858c45d4834b12d2d1aa77219e2c","sha256:628a92082a87b0da118a377a668acb285ae9d008425be579f4cf341941e222a6"],"state_sha256":"cddd8671a1b11c7e284a1d296fe69bf13111935c784092e2db3da93982b58d85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EVnM3EyB+Um3JWzqodNjIQbo5CdIeB9KUQe/be1U3JutDZrIglusogb0TFYGdEvTLMTX14xZQ+xPfklOUMwdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T09:50:31.496968Z","bundle_sha256":"64cf42ecd59d0cf1bb8315f11bc01c2ddef07957f6aae1ea3970096012aa0247"}}