{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SU6KAQ5SZYORIE4BOFBEHHBZUR","short_pith_number":"pith:SU6KAQ5S","canonical_record":{"source":{"id":"2211.00918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-11-02T07:01:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"ab60c0ba927113ed8b5297950d4d5399f12e7148c875b939530ef1a8e1498385","abstract_canon_sha256":"dc9ab6d25ddb3dac0d859c355be600f63f9636be30ecc2b7a6859a41fba5cc19"},"schema_version":"1.0"},"canonical_sha256":"953ca043b2ce1d1413817142439c39a46ff66a0f9a039bc8331dcc041245c234","source":{"kind":"arxiv","id":"2211.00918","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.00918","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"arxiv_version","alias_value":"2211.00918v1","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00918","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_12","alias_value":"SU6KAQ5SZYOR","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_16","alias_value":"SU6KAQ5SZYORIE4B","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_8","alias_value":"SU6KAQ5S","created_at":"2026-07-05T05:12:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SU6KAQ5SZYORIE4BOFBEHHBZUR","target":"record","payload":{"canonical_record":{"source":{"id":"2211.00918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-11-02T07:01:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"ab60c0ba927113ed8b5297950d4d5399f12e7148c875b939530ef1a8e1498385","abstract_canon_sha256":"dc9ab6d25ddb3dac0d859c355be600f63f9636be30ecc2b7a6859a41fba5cc19"},"schema_version":"1.0"},"canonical_sha256":"953ca043b2ce1d1413817142439c39a46ff66a0f9a039bc8331dcc041245c234","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:36.502041Z","signature_b64":"sSOKh+erLJ6PXtmZ5/9u3NSRGwRtwt5cgeEUO4BcktIgYWL29anTiwWwGUa0HOwvkT9u9z89WzUV/th7QWQxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"953ca043b2ce1d1413817142439c39a46ff66a0f9a039bc8331dcc041245c234","last_reissued_at":"2026-07-05T05:12:36.501697Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:36.501697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.00918","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":"2026-07-05T05:12:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qn/5teUn1EJ+Aam/4O5Ke60wCMpCCtPep+gB600e5qU+y4Hkrums93HBthxLAFLvXtVlHxWPhD95aYIv1yG0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:50:58.828662Z"},"content_sha256":"8317830d4e4e29082ce570497c093f9e3d4da4e135d82b689856b2ac7ed06eae","schema_version":"1.0","event_id":"sha256:8317830d4e4e29082ce570497c093f9e3d4da4e135d82b689856b2ac7ed06eae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SU6KAQ5SZYORIE4BOFBEHHBZUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Universal Deep Image Compression via Content-Adaptive Optimization with Adapters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hiroaki Akutsu, Kiyoharu Aizawa, Koki Tsubota","submitted_at":"2022-11-02T07:01:30Z","abstract_excerpt":"Deep image compression performs better than conventional codecs, such as JPEG, on natural images. However, deep image compression is learning-based and encounters a problem: the compression performance deteriorates significantly for out-of-domain images. In this study, we highlight this problem and address a novel task: universal deep image compression. This task aims to compress images belonging to arbitrary domains, such as natural images, line drawings, and comics. To address this problem, we propose a content-adaptive optimization framework; this framework uses a pre-trained compression mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00918","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/2211.00918/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":"2026-07-05T05:12:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Q1kD3utHQCREkOvCaLare5u8HTZLGuiciLdHf1PzWW57lscSBXFJJz1+rlGIlFtck5Gndj2AcobSRVxmcbhDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T16:50:58.829343Z"},"content_sha256":"3113560f1b81e4c2ca6993ca15540660e517cf2eb3607f5397caf808f325d395","schema_version":"1.0","event_id":"sha256:3113560f1b81e4c2ca6993ca15540660e517cf2eb3607f5397caf808f325d395"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/bundle.json","state_url":"https://pith.science/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/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":"2026-08-22T16:50:58Z","links":{"resolver":"https://pith.science/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR","bundle":"https://pith.science/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/bundle.json","state":"https://pith.science/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SU6KAQ5SZYORIE4BOFBEHHBZUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SU6KAQ5SZYORIE4BOFBEHHBZUR","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":"dc9ab6d25ddb3dac0d859c355be600f63f9636be30ecc2b7a6859a41fba5cc19","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-11-02T07:01:30Z","title_canon_sha256":"ab60c0ba927113ed8b5297950d4d5399f12e7148c875b939530ef1a8e1498385"},"schema_version":"1.0","source":{"id":"2211.00918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.00918","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"arxiv_version","alias_value":"2211.00918v1","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00918","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_12","alias_value":"SU6KAQ5SZYOR","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_16","alias_value":"SU6KAQ5SZYORIE4B","created_at":"2026-07-05T05:12:36Z"},{"alias_kind":"pith_short_8","alias_value":"SU6KAQ5S","created_at":"2026-07-05T05:12:36Z"}],"graph_snapshots":[{"event_id":"sha256:3113560f1b81e4c2ca6993ca15540660e517cf2eb3607f5397caf808f325d395","target":"graph","created_at":"2026-07-05T05:12:36Z","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/2211.00918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep image compression performs better than conventional codecs, such as JPEG, on natural images. However, deep image compression is learning-based and encounters a problem: the compression performance deteriorates significantly for out-of-domain images. In this study, we highlight this problem and address a novel task: universal deep image compression. This task aims to compress images belonging to arbitrary domains, such as natural images, line drawings, and comics. To address this problem, we propose a content-adaptive optimization framework; this framework uses a pre-trained compression mo","authors_text":"Hiroaki Akutsu, Kiyoharu Aizawa, Koki Tsubota","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-11-02T07:01:30Z","title":"Universal Deep Image Compression via Content-Adaptive Optimization with Adapters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00918","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":"sha256:8317830d4e4e29082ce570497c093f9e3d4da4e135d82b689856b2ac7ed06eae","target":"record","created_at":"2026-07-05T05:12:36Z","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":"dc9ab6d25ddb3dac0d859c355be600f63f9636be30ecc2b7a6859a41fba5cc19","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-11-02T07:01:30Z","title_canon_sha256":"ab60c0ba927113ed8b5297950d4d5399f12e7148c875b939530ef1a8e1498385"},"schema_version":"1.0","source":{"id":"2211.00918","kind":"arxiv","version":1}},"canonical_sha256":"953ca043b2ce1d1413817142439c39a46ff66a0f9a039bc8331dcc041245c234","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"953ca043b2ce1d1413817142439c39a46ff66a0f9a039bc8331dcc041245c234","first_computed_at":"2026-07-05T05:12:36.501697Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:36.501697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sSOKh+erLJ6PXtmZ5/9u3NSRGwRtwt5cgeEUO4BcktIgYWL29anTiwWwGUa0HOwvkT9u9z89WzUV/th7QWQxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:36.502041Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.00918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8317830d4e4e29082ce570497c093f9e3d4da4e135d82b689856b2ac7ed06eae","sha256:3113560f1b81e4c2ca6993ca15540660e517cf2eb3607f5397caf808f325d395"],"state_sha256":"e4fde7dd944a4e89674a30216576c54fbe1262c218dab99972f88822f533bbf8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jF/r9OrAUowWOG4Q1sEoMrVN46VvVa6HcnsLZw26JQLmcFTsxDwMW5bADC7OCfpzuwA2YNlZdHIUxogVAsVLDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T16:50:58.833318Z","bundle_sha256":"ec32f81a0e5a7362afcfb315ae0c1a7f576e3be4239a8e56266f71581939078c"}}