{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6LMTFGM5QESKDSGETSIONX547K","short_pith_number":"pith:6LMTFGM5","canonical_record":{"source":{"id":"2605.23451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T10:07:02Z","cross_cats_sorted":[],"title_canon_sha256":"5e072ae3b4fe8a1a410cb0d18db92ff892f9091848205f4e8593742fbc345dc9","abstract_canon_sha256":"5ca23d5662ae1d119b63ec4c86f347b16aec928a8e5fd9f6c00d5a8f2580236b"},"schema_version":"1.0"},"canonical_sha256":"f2d932999d8124a1c8c49c90e6dfbcfaacf6d84a99c3b8f91c941c06e0c373c6","source":{"kind":"arxiv","id":"2605.23451","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23451","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23451v1","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23451","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_12","alias_value":"6LMTFGM5QESK","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_16","alias_value":"6LMTFGM5QESKDSGE","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_8","alias_value":"6LMTFGM5","created_at":"2026-05-25T02:01:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6LMTFGM5QESKDSGETSIONX547K","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T10:07:02Z","cross_cats_sorted":[],"title_canon_sha256":"5e072ae3b4fe8a1a410cb0d18db92ff892f9091848205f4e8593742fbc345dc9","abstract_canon_sha256":"5ca23d5662ae1d119b63ec4c86f347b16aec928a8e5fd9f6c00d5a8f2580236b"},"schema_version":"1.0"},"canonical_sha256":"f2d932999d8124a1c8c49c90e6dfbcfaacf6d84a99c3b8f91c941c06e0c373c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:54.827059Z","signature_b64":"m3GWKvHYJ+TbwVhEMv+1zz84P60vmv40sBSZru4xS/+2OQKmVa43Fgt1bF9HxzQIY0YIxy5FSnovphpAMfp4Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2d932999d8124a1c8c49c90e6dfbcfaacf6d84a99c3b8f91c941c06e0c373c6","last_reissued_at":"2026-05-25T02:01:54.826499Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:54.826499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23451","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":"2026-05-25T02:01:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T4OFW4RR2zlwVOyEvITTD7rjwr3Su8bNoP84qQX3udSufZXA1lnnbDdvLop5J/YSo1SNwFua/nxyu0Z2MwBxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:00:46.069618Z"},"content_sha256":"5005c3d7a827842106d1bbe490c2b419cc1d0fcb50b16216d8dde4aef67cc723","schema_version":"1.0","event_id":"sha256:5005c3d7a827842106d1bbe490c2b419cc1d0fcb50b16216d8dde4aef67cc723"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6LMTFGM5QESKDSGETSIONX547K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bingtian Qiao, Guangtao Zhai, Jiezhang Cao, Yingjie Zhou, Yong Guo, Yue Shi","submitted_at":"2026-05-22T10:07:02Z","abstract_excerpt":"Real-world image super-resolution aims to recover high-quality images from complex and unknown real-world degradations. However, existing generative Real-ISR methods largely inherit the dense latent representations and quadratic-cost global modeling paradigm developed for high-resolution image synthesis, causing computation, memory usage, and inference latency to scale unfavorably with resolution and thus limiting practical deployment. We argue that the key bottleneck lies not in insufficient restoration priors, but in excessive token redundancy and costly token interactions during high-resolu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23451","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/2605.23451/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":"2026-05-25T02:01:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MBjfPZNWihqFON7Mxq7B1eONgNk1glqqTFvSFR0Kabmw9LoK/u0fYoXqL8j6dZRbmcVTJtDElI937SuMqV7pDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:00:46.070147Z"},"content_sha256":"07c483c6ac954d287c01114a7ddaf0d47f85c14c89e2427aa52a0e8ca0b08923","schema_version":"1.0","event_id":"sha256:07c483c6ac954d287c01114a7ddaf0d47f85c14c89e2427aa52a0e8ca0b08923"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6LMTFGM5QESKDSGETSIONX547K/bundle.json","state_url":"https://pith.science/pith/6LMTFGM5QESKDSGETSIONX547K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6LMTFGM5QESKDSGETSIONX547K/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":"2026-05-26T11:00:46Z","links":{"resolver":"https://pith.science/pith/6LMTFGM5QESKDSGETSIONX547K","bundle":"https://pith.science/pith/6LMTFGM5QESKDSGETSIONX547K/bundle.json","state":"https://pith.science/pith/6LMTFGM5QESKDSGETSIONX547K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6LMTFGM5QESKDSGETSIONX547K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6LMTFGM5QESKDSGETSIONX547K","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":"5ca23d5662ae1d119b63ec4c86f347b16aec928a8e5fd9f6c00d5a8f2580236b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T10:07:02Z","title_canon_sha256":"5e072ae3b4fe8a1a410cb0d18db92ff892f9091848205f4e8593742fbc345dc9"},"schema_version":"1.0","source":{"id":"2605.23451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23451","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23451v1","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23451","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_12","alias_value":"6LMTFGM5QESK","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_16","alias_value":"6LMTFGM5QESKDSGE","created_at":"2026-05-25T02:01:54Z"},{"alias_kind":"pith_short_8","alias_value":"6LMTFGM5","created_at":"2026-05-25T02:01:54Z"}],"graph_snapshots":[{"event_id":"sha256:07c483c6ac954d287c01114a7ddaf0d47f85c14c89e2427aa52a0e8ca0b08923","target":"graph","created_at":"2026-05-25T02:01:54Z","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/2605.23451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world image super-resolution aims to recover high-quality images from complex and unknown real-world degradations. However, existing generative Real-ISR methods largely inherit the dense latent representations and quadratic-cost global modeling paradigm developed for high-resolution image synthesis, causing computation, memory usage, and inference latency to scale unfavorably with resolution and thus limiting practical deployment. We argue that the key bottleneck lies not in insufficient restoration priors, but in excessive token redundancy and costly token interactions during high-resolu","authors_text":"Bingtian Qiao, Guangtao Zhai, Jiezhang Cao, Yingjie Zhou, Yong Guo, Yue Shi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T10:07:02Z","title":"Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23451","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":"sha256:5005c3d7a827842106d1bbe490c2b419cc1d0fcb50b16216d8dde4aef67cc723","target":"record","created_at":"2026-05-25T02:01:54Z","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":"5ca23d5662ae1d119b63ec4c86f347b16aec928a8e5fd9f6c00d5a8f2580236b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T10:07:02Z","title_canon_sha256":"5e072ae3b4fe8a1a410cb0d18db92ff892f9091848205f4e8593742fbc345dc9"},"schema_version":"1.0","source":{"id":"2605.23451","kind":"arxiv","version":1}},"canonical_sha256":"f2d932999d8124a1c8c49c90e6dfbcfaacf6d84a99c3b8f91c941c06e0c373c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2d932999d8124a1c8c49c90e6dfbcfaacf6d84a99c3b8f91c941c06e0c373c6","first_computed_at":"2026-05-25T02:01:54.826499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:54.826499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m3GWKvHYJ+TbwVhEMv+1zz84P60vmv40sBSZru4xS/+2OQKmVa43Fgt1bF9HxzQIY0YIxy5FSnovphpAMfp4Ag==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:54.827059Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5005c3d7a827842106d1bbe490c2b419cc1d0fcb50b16216d8dde4aef67cc723","sha256:07c483c6ac954d287c01114a7ddaf0d47f85c14c89e2427aa52a0e8ca0b08923"],"state_sha256":"05f2f06ed36ff68b99a25c3b28a67a125ebcaf49220234eb9522342d455feebd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yl9hXqYaOzQJBG2j1idTMI34uGFh5TD8tTR7qYbZ99AoA56c11BxwlwVrVRnH7vfq2fW79gvnKqov8GKMfwiAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:00:46.073664Z","bundle_sha256":"a723ff91f1743717b6a91efbbfc8bc72a8901a5d949b36beff30848189c0b7a8"}}