{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UYTPCZHMKJL6H6YRAK4K6KDLQA","short_pith_number":"pith:UYTPCZHM","canonical_record":{"source":{"id":"2606.21030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2026-06-19T01:44:15Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5250669f62bea122f5e5b4d30f61aa46ca2fe855cb53aded28507756954f55d3","abstract_canon_sha256":"61b5e5445778966962003fb16ff266153e57aa436452ef92882c813f29dddee4"},"schema_version":"1.0"},"canonical_sha256":"a626f164ec5257e3fb1102b8af286b800dc1c6603e8508ae78a1cab1c64478c1","source":{"kind":"arxiv","id":"2606.21030","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21030","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21030v1","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21030","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_12","alias_value":"UYTPCZHMKJL6","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_16","alias_value":"UYTPCZHMKJL6H6YR","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_8","alias_value":"UYTPCZHM","created_at":"2026-06-23T01:12:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UYTPCZHMKJL6H6YRAK4K6KDLQA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.21030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2026-06-19T01:44:15Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5250669f62bea122f5e5b4d30f61aa46ca2fe855cb53aded28507756954f55d3","abstract_canon_sha256":"61b5e5445778966962003fb16ff266153e57aa436452ef92882c813f29dddee4"},"schema_version":"1.0"},"canonical_sha256":"a626f164ec5257e3fb1102b8af286b800dc1c6603e8508ae78a1cab1c64478c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:12:27.374673Z","signature_b64":"fAby8DZUQjSGjhfq+EGV76CXABa4lMHd3A+SSYm1cn5i7SR2IA9P22XdvdYLBafg7VnP1FwX9NJknuJzo53xBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a626f164ec5257e3fb1102b8af286b800dc1c6603e8508ae78a1cab1c64478c1","last_reissued_at":"2026-06-23T01:12:27.374141Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:12:27.374141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.21030","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":"2026-06-23T01:12:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FtAnM+YkklG+Ke3yYVr3PLlGKTqjT2cfxOEhoR+wDDK7njcbzob6zMDWLy8WRtSwFrPPluK94C5vZO924UjSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T15:13:08.594739Z"},"content_sha256":"555655e796006b2aec19f97eec157e2b0db1eb713753e278725ebc2b6463f314","schema_version":"1.0","event_id":"sha256:555655e796006b2aec19f97eec157e2b0db1eb713753e278725ebc2b6463f314"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UYTPCZHMKJL6H6YRAK4K6KDLQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FlowCodec: One-Step Flow Prior for Generative Image Compression","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hao Cao, Pu Chen, Wenqi Guo, Yinhuan Huang, Zhijin Qin","submitted_at":"2026-06-19T01:44:15Z","abstract_excerpt":"Diffusion-based image compression methods, leveraging powerful generative priors, have demonstrated remarkable perceptual quality at ultra-low bitrates. However, adapting modern generative models to image compression often relies on carefully engineered conditioning or auxiliary branches, together with substantial retraining, and these costs grow as the models scale. This motivates an open question: Can stronger generative priors be integrated into compression through a simpler, more extensible design? To answer this, we propose FlowCodec, a streamlined framework that plugs pretrained large-sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21030","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/2606.21030/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":"2026-06-23T01:12:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0fxOG9CcVl8ChO+BOPy2DezI+z4qyLnb/vEmgGD5B3ZwiEa6YBF85Ux/f9i1JUf0+m79zCA2zBOM8dpffBMGBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T15:13:08.595106Z"},"content_sha256":"297dcb7952248ad9369265348f74dc5aca8306f059854c82db1fda92cb2f6cd0","schema_version":"1.0","event_id":"sha256:297dcb7952248ad9369265348f74dc5aca8306f059854c82db1fda92cb2f6cd0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/bundle.json","state_url":"https://pith.science/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/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":"2026-07-04T15:13:08Z","links":{"resolver":"https://pith.science/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA","bundle":"https://pith.science/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/bundle.json","state":"https://pith.science/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UYTPCZHMKJL6H6YRAK4K6KDLQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UYTPCZHMKJL6H6YRAK4K6KDLQA","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":"61b5e5445778966962003fb16ff266153e57aa436452ef92882c813f29dddee4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2026-06-19T01:44:15Z","title_canon_sha256":"5250669f62bea122f5e5b4d30f61aa46ca2fe855cb53aded28507756954f55d3"},"schema_version":"1.0","source":{"id":"2606.21030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21030","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21030v1","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21030","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_12","alias_value":"UYTPCZHMKJL6","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_16","alias_value":"UYTPCZHMKJL6H6YR","created_at":"2026-06-23T01:12:27Z"},{"alias_kind":"pith_short_8","alias_value":"UYTPCZHM","created_at":"2026-06-23T01:12:27Z"}],"graph_snapshots":[{"event_id":"sha256:297dcb7952248ad9369265348f74dc5aca8306f059854c82db1fda92cb2f6cd0","target":"graph","created_at":"2026-06-23T01:12:27Z","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/2606.21030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion-based image compression methods, leveraging powerful generative priors, have demonstrated remarkable perceptual quality at ultra-low bitrates. However, adapting modern generative models to image compression often relies on carefully engineered conditioning or auxiliary branches, together with substantial retraining, and these costs grow as the models scale. This motivates an open question: Can stronger generative priors be integrated into compression through a simpler, more extensible design? To answer this, we propose FlowCodec, a streamlined framework that plugs pretrained large-sc","authors_text":"Hao Cao, Pu Chen, Wenqi Guo, Yinhuan Huang, Zhijin Qin","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2026-06-19T01:44:15Z","title":"FlowCodec: One-Step Flow Prior for Generative Image Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21030","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":"sha256:555655e796006b2aec19f97eec157e2b0db1eb713753e278725ebc2b6463f314","target":"record","created_at":"2026-06-23T01:12:27Z","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":"61b5e5445778966962003fb16ff266153e57aa436452ef92882c813f29dddee4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2026-06-19T01:44:15Z","title_canon_sha256":"5250669f62bea122f5e5b4d30f61aa46ca2fe855cb53aded28507756954f55d3"},"schema_version":"1.0","source":{"id":"2606.21030","kind":"arxiv","version":1}},"canonical_sha256":"a626f164ec5257e3fb1102b8af286b800dc1c6603e8508ae78a1cab1c64478c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a626f164ec5257e3fb1102b8af286b800dc1c6603e8508ae78a1cab1c64478c1","first_computed_at":"2026-06-23T01:12:27.374141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:27.374141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fAby8DZUQjSGjhfq+EGV76CXABa4lMHd3A+SSYm1cn5i7SR2IA9P22XdvdYLBafg7VnP1FwX9NJknuJzo53xBA==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:27.374673Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:555655e796006b2aec19f97eec157e2b0db1eb713753e278725ebc2b6463f314","sha256:297dcb7952248ad9369265348f74dc5aca8306f059854c82db1fda92cb2f6cd0"],"state_sha256":"21c25539d0502f5f79121744dc91404705a2766595554af9a4e5dfacdabd1bb6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pyRUSSjOzU7Zg84KhoQK5W/KmLH7ZS+GoKpMYClHFv7U6m9ixTzz12KuuRAvLgg77JPNsI7FFufD+G7xyqAkCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T15:13:08.597165Z","bundle_sha256":"0cd137fecf0552569747e2a2f8ba9c5b93dac47ea2ed8c47d9b720a91d4dd9c0"}}