{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VWPVLY5OHHJDNERGAV66D2HPEC","short_pith_number":"pith:VWPVLY5O","canonical_record":{"source":{"id":"2311.15908","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T15:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"197152359c376febc4e3b5ae96ba23467122a33992afea4ba3c1c6c4c65addac","abstract_canon_sha256":"a94ceeaffc8910c51bb3705d23fbebcf2cf46499c4226c3ce36132ca59a36f6e"},"schema_version":"1.0"},"canonical_sha256":"ad9f55e3ae39d2369226057de1e8ef208900a86e90743c9b08c3a4762a573091","source":{"kind":"arxiv","id":"2311.15908","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15908","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15908v2","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15908","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_12","alias_value":"VWPVLY5OHHJD","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_16","alias_value":"VWPVLY5OHHJDNERG","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_8","alias_value":"VWPVLY5O","created_at":"2026-07-05T08:44:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VWPVLY5OHHJDNERGAV66D2HPEC","target":"record","payload":{"canonical_record":{"source":{"id":"2311.15908","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T15:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"197152359c376febc4e3b5ae96ba23467122a33992afea4ba3c1c6c4c65addac","abstract_canon_sha256":"a94ceeaffc8910c51bb3705d23fbebcf2cf46499c4226c3ce36132ca59a36f6e"},"schema_version":"1.0"},"canonical_sha256":"ad9f55e3ae39d2369226057de1e8ef208900a86e90743c9b08c3a4762a573091","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:49.213333Z","signature_b64":"F2uksFzMEEHgR9TVBIoUzX1O8tJUMQ4Z1EXXKlj6RJ5nJ69wTXhsxtlXhfB9NgyCZ2Df3HxNBNow5XvkNmaMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad9f55e3ae39d2369226057de1e8ef208900a86e90743c9b08c3a4762a573091","last_reissued_at":"2026-07-05T08:44:49.212918Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:49.212918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.15908","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":"2026-07-05T08:44:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"65AXqqcJQrAt4+2+xrf0JiwW8mWnR+zrXVBAtwT1rQFAZSwTqAVNKZIDyKAzEp/qLZZEqTjD6Y5OtaNuAndDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:17:41.462732Z"},"content_sha256":"c05b0d0d50b276bb4bb1541a5c202b6bf99ff901ff279f95ef3371d03848c77f","schema_version":"1.0","event_id":"sha256:c05b0d0d50b276bb4bb1541a5c202b6bf99ff901ff279f95ef3371d03848c77f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VWPVLY5OHHJDNERGAV66D2HPEC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Claudio Rota, Joost Van De Weijer, Marco Buzzelli","submitted_at":"2023-11-27T15:14:38Z","abstract_excerpt":"In this paper, we address the problem of enhancing perceptual quality in video super-resolution (VSR) using Diffusion Models (DMs) while ensuring temporal consistency among frames. We present StableVSR, a VSR method based on DMs that can significantly enhance the perceptual quality of upscaled videos by synthesizing realistic and temporally-consistent details. We introduce the Temporal Conditioning Module (TCM) into a pre-trained DM for single image super-resolution to turn it into a VSR method. TCM uses the novel Temporal Texture Guidance, which provides it with spatially-aligned and detail-r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15908","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/2311.15908/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":"2026-07-05T08:44:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RPYFtBGvOL+dmOQsqx3SNaALF8PZFSk+U8OgIov3HPLkdmrQ6+OyvqhNwJQaIbH3zDTJmLhguRczoQbFo9UlDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:17:41.463105Z"},"content_sha256":"12939a3889d3c81ed315cfaafd4389f00c491822bacffb60394b7bbe583b6759","schema_version":"1.0","event_id":"sha256:12939a3889d3c81ed315cfaafd4389f00c491822bacffb60394b7bbe583b6759"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VWPVLY5OHHJDNERGAV66D2HPEC/bundle.json","state_url":"https://pith.science/pith/VWPVLY5OHHJDNERGAV66D2HPEC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VWPVLY5OHHJDNERGAV66D2HPEC/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":"2026-08-23T17:17:41Z","links":{"resolver":"https://pith.science/pith/VWPVLY5OHHJDNERGAV66D2HPEC","bundle":"https://pith.science/pith/VWPVLY5OHHJDNERGAV66D2HPEC/bundle.json","state":"https://pith.science/pith/VWPVLY5OHHJDNERGAV66D2HPEC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VWPVLY5OHHJDNERGAV66D2HPEC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VWPVLY5OHHJDNERGAV66D2HPEC","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":"a94ceeaffc8910c51bb3705d23fbebcf2cf46499c4226c3ce36132ca59a36f6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T15:14:38Z","title_canon_sha256":"197152359c376febc4e3b5ae96ba23467122a33992afea4ba3c1c6c4c65addac"},"schema_version":"1.0","source":{"id":"2311.15908","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15908","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15908v2","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15908","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_12","alias_value":"VWPVLY5OHHJD","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_16","alias_value":"VWPVLY5OHHJDNERG","created_at":"2026-07-05T08:44:49Z"},{"alias_kind":"pith_short_8","alias_value":"VWPVLY5O","created_at":"2026-07-05T08:44:49Z"}],"graph_snapshots":[{"event_id":"sha256:12939a3889d3c81ed315cfaafd4389f00c491822bacffb60394b7bbe583b6759","target":"graph","created_at":"2026-07-05T08:44:49Z","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/2311.15908/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we address the problem of enhancing perceptual quality in video super-resolution (VSR) using Diffusion Models (DMs) while ensuring temporal consistency among frames. We present StableVSR, a VSR method based on DMs that can significantly enhance the perceptual quality of upscaled videos by synthesizing realistic and temporally-consistent details. We introduce the Temporal Conditioning Module (TCM) into a pre-trained DM for single image super-resolution to turn it into a VSR method. TCM uses the novel Temporal Texture Guidance, which provides it with spatially-aligned and detail-r","authors_text":"Claudio Rota, Joost Van De Weijer, Marco Buzzelli","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T15:14:38Z","title":"Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15908","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:c05b0d0d50b276bb4bb1541a5c202b6bf99ff901ff279f95ef3371d03848c77f","target":"record","created_at":"2026-07-05T08:44:49Z","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":"a94ceeaffc8910c51bb3705d23fbebcf2cf46499c4226c3ce36132ca59a36f6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T15:14:38Z","title_canon_sha256":"197152359c376febc4e3b5ae96ba23467122a33992afea4ba3c1c6c4c65addac"},"schema_version":"1.0","source":{"id":"2311.15908","kind":"arxiv","version":2}},"canonical_sha256":"ad9f55e3ae39d2369226057de1e8ef208900a86e90743c9b08c3a4762a573091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad9f55e3ae39d2369226057de1e8ef208900a86e90743c9b08c3a4762a573091","first_computed_at":"2026-07-05T08:44:49.212918Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:49.212918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F2uksFzMEEHgR9TVBIoUzX1O8tJUMQ4Z1EXXKlj6RJ5nJ69wTXhsxtlXhfB9NgyCZ2Df3HxNBNow5XvkNmaMAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:49.213333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15908","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c05b0d0d50b276bb4bb1541a5c202b6bf99ff901ff279f95ef3371d03848c77f","sha256:12939a3889d3c81ed315cfaafd4389f00c491822bacffb60394b7bbe583b6759"],"state_sha256":"8b87954e679b1623b1ad45286005ab30b2f63135d8b74085d8b1da313364763a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFZQ5fMuoY/W0naf46OgMmA4VHKeZ9VQZeuLK1pt9mq6NOSTFcMDznB7794XDWXvesCn+lvuA1bkHuK7eKwxCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T17:17:41.465705Z","bundle_sha256":"dff739d47c53233305de6bbe46e113b5ff5b03877119b4edbbb2c2e0f0a4b3ab"}}