{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UOCSREF2XNKBYGWKMWIZKT3JQW","short_pith_number":"pith:UOCSREF2","canonical_record":{"source":{"id":"2311.16518","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T18:11:19Z","cross_cats_sorted":[],"title_canon_sha256":"f9c720b8a2e9ef0e71436458ede51cbf9d40e21d44f9bcd69498eb46ff9a3600","abstract_canon_sha256":"cd39d9af6357936a0b84dd329cc2ff92368a2b494242da881ebb82a8ffae2de2"},"schema_version":"1.0"},"canonical_sha256":"a3852890babb541c1aca6591954f6985abc4d2230a316b896dfb8fd90b187524","source":{"kind":"arxiv","id":"2311.16518","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16518","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16518v2","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16518","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"UOCSREF2XNKB","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"UOCSREF2XNKBYGWK","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"UOCSREF2","created_at":"2026-07-05T08:27:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UOCSREF2XNKBYGWKMWIZKT3JQW","target":"record","payload":{"canonical_record":{"source":{"id":"2311.16518","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T18:11:19Z","cross_cats_sorted":[],"title_canon_sha256":"f9c720b8a2e9ef0e71436458ede51cbf9d40e21d44f9bcd69498eb46ff9a3600","abstract_canon_sha256":"cd39d9af6357936a0b84dd329cc2ff92368a2b494242da881ebb82a8ffae2de2"},"schema_version":"1.0"},"canonical_sha256":"a3852890babb541c1aca6591954f6985abc4d2230a316b896dfb8fd90b187524","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:00.511045Z","signature_b64":"P6KUnx7jyYG60bQNWasyn8PM9ozEJk6cszGC5FFB7V3ccd7Nu/mt6658FNNyuVzUknpSh115VUjWsdsOXVXRDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3852890babb541c1aca6591954f6985abc4d2230a316b896dfb8fd90b187524","last_reissued_at":"2026-07-05T08:27:00.510631Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:00.510631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.16518","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mxDmQGAeeRVhEX3qEWkxEvNxtw56M2cQXduOYGukso51H6XkbbCb1JWCPTAE7nHPYcViWmUhhNcD6Nc1oBK+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T20:53:52.815921Z"},"content_sha256":"7873c846fc9de2a47a36312504a81de2fc7f7095491207553186b839722f29b3","schema_version":"1.0","event_id":"sha256:7873c846fc9de2a47a36312504a81de2fc7f7095491207553186b839722f29b3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UOCSREF2XNKBYGWKMWIZKT3JQW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lei Zhang, Lingchen Sun, Rongyuan Wu, Shuai Li, Tao Yang, Zhengqiang Zhang","submitted_at":"2023-11-27T18:11:19Z","abstract_excerpt":"Owe to the powerful generative priors, the pre-trained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem. However, as a consequence of the heavy quality degradation of input low-resolution (LR) images, the destruction of local structures can lead to ambiguous image semantics. As a result, the content of reproduced high-resolution image may have semantic errors, deteriorating the super-resolution performance. To address this issue, we present a semantics-aware approach to better preserve the semantic fidelity of genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16518","kind":"arxiv","version":2},"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/2311.16518/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":"2026-07-05T08:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tOpsRcDlTITUiEOj4iBWSeGGb2X4oKLFZnQ/678cSslC9eTonG6myErb3fKLBfKuA5sa8CMrksvlZgd05dGtCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T20:53:52.816468Z"},"content_sha256":"146090439bee1f1aa04391509d19d928dadc2fa1ed093c266fc5f347bcbe1a2d","schema_version":"1.0","event_id":"sha256:146090439bee1f1aa04391509d19d928dadc2fa1ed093c266fc5f347bcbe1a2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/bundle.json","state_url":"https://pith.science/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/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":"2026-08-02T20:53:52Z","links":{"resolver":"https://pith.science/pith/UOCSREF2XNKBYGWKMWIZKT3JQW","bundle":"https://pith.science/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/bundle.json","state":"https://pith.science/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UOCSREF2XNKBYGWKMWIZKT3JQW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UOCSREF2XNKBYGWKMWIZKT3JQW","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":"cd39d9af6357936a0b84dd329cc2ff92368a2b494242da881ebb82a8ffae2de2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T18:11:19Z","title_canon_sha256":"f9c720b8a2e9ef0e71436458ede51cbf9d40e21d44f9bcd69498eb46ff9a3600"},"schema_version":"1.0","source":{"id":"2311.16518","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16518","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16518v2","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16518","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"UOCSREF2XNKB","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"UOCSREF2XNKBYGWK","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"UOCSREF2","created_at":"2026-07-05T08:27:00Z"}],"graph_snapshots":[{"event_id":"sha256:146090439bee1f1aa04391509d19d928dadc2fa1ed093c266fc5f347bcbe1a2d","target":"graph","created_at":"2026-07-05T08:27:00Z","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/2311.16518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Owe to the powerful generative priors, the pre-trained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem. However, as a consequence of the heavy quality degradation of input low-resolution (LR) images, the destruction of local structures can lead to ambiguous image semantics. As a result, the content of reproduced high-resolution image may have semantic errors, deteriorating the super-resolution performance. To address this issue, we present a semantics-aware approach to better preserve the semantic fidelity of genera","authors_text":"Lei Zhang, Lingchen Sun, Rongyuan Wu, Shuai Li, Tao Yang, Zhengqiang Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T18:11:19Z","title":"SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16518","kind":"arxiv","version":2},"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":"sha256:7873c846fc9de2a47a36312504a81de2fc7f7095491207553186b839722f29b3","target":"record","created_at":"2026-07-05T08:27:00Z","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":"cd39d9af6357936a0b84dd329cc2ff92368a2b494242da881ebb82a8ffae2de2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T18:11:19Z","title_canon_sha256":"f9c720b8a2e9ef0e71436458ede51cbf9d40e21d44f9bcd69498eb46ff9a3600"},"schema_version":"1.0","source":{"id":"2311.16518","kind":"arxiv","version":2}},"canonical_sha256":"a3852890babb541c1aca6591954f6985abc4d2230a316b896dfb8fd90b187524","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3852890babb541c1aca6591954f6985abc4d2230a316b896dfb8fd90b187524","first_computed_at":"2026-07-05T08:27:00.510631Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:00.510631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P6KUnx7jyYG60bQNWasyn8PM9ozEJk6cszGC5FFB7V3ccd7Nu/mt6658FNNyuVzUknpSh115VUjWsdsOXVXRDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:00.511045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.16518","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7873c846fc9de2a47a36312504a81de2fc7f7095491207553186b839722f29b3","sha256:146090439bee1f1aa04391509d19d928dadc2fa1ed093c266fc5f347bcbe1a2d"],"state_sha256":"549cef66e87210d16f38b931098feece1f2493530834c6484e214aa63972d100"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sQCDqCe/FVMkZ8HHnJml5pEls62/d4PFClGbn6OTfPUIAUQ1SFtmewm5Tlf8tEt6+u+B03UX4Zl3jH4Aj0rrDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T20:53:52.819335Z","bundle_sha256":"5b90c2c3a6e0d2654c959150fee821e132271fc967b77f20ab6299869f474061"}}