{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GPYMOTUKCN53OGSV6YSLJBSDPA","short_pith_number":"pith:GPYMOTUK","schema_version":"1.0","canonical_sha256":"33f0c74e8a137bb71a55f624b4864378196d593d6462e9fbd0434fd22a863bbc","source":{"kind":"arxiv","id":"2606.13580","version":1},"attestation_state":"computed","paper":{"title":"EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dachun Kai, Jiayao Lu, Xiaoyan Sun, Yueyi Zhang","submitted_at":"2026-06-11T17:04:08Z","abstract_excerpt":"Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) to enhance flow estimation and temporal alignment. In contrast, this paper shifts the focus of event signals from motion refinement to texture enhancement in VSR. We propose EvTexture++, the first event-driven framework dedicated to texture enhancement in VSR. It leverages high-frequency spatiotemporal details from events to improve texture recovery. EvTexture++ incorporates a c"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.13580","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T17:04:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"21453b6a40630547bf6a4dd38ce16d8ab0d3f9da15a50c1a70b759d678263b89","abstract_canon_sha256":"02f53d58763c290ffb7053cafacd7d53461c17a6c69a35b2feaf3a54ed98602a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:10:11.342168Z","signature_b64":"NuSkeOV5bIGeOQgaWQidJld1eQ7AQsQ5k2jqBqbmhB6UyamGgaEhpyKkvKQx/C06CB4NHbpthsF8PSvOXN4yDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33f0c74e8a137bb71a55f624b4864378196d593d6462e9fbd0434fd22a863bbc","last_reissued_at":"2026-06-12T01:10:11.341309Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:10:11.341309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dachun Kai, Jiayao Lu, Xiaoyan Sun, Yueyi Zhang","submitted_at":"2026-06-11T17:04:08Z","abstract_excerpt":"Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) to enhance flow estimation and temporal alignment. In contrast, this paper shifts the focus of event signals from motion refinement to texture enhancement in VSR. We propose EvTexture++, the first event-driven framework dedicated to texture enhancement in VSR. It leverages high-frequency spatiotemporal details from events to improve texture recovery. EvTexture++ incorporates a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.13580","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/2606.13580/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.13580","created_at":"2026-06-12T01:10:11.341475+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.13580v1","created_at":"2026-06-12T01:10:11.341475+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.13580","created_at":"2026-06-12T01:10:11.341475+00:00"},{"alias_kind":"pith_short_12","alias_value":"GPYMOTUKCN53","created_at":"2026-06-12T01:10:11.341475+00:00"},{"alias_kind":"pith_short_16","alias_value":"GPYMOTUKCN53OGSV","created_at":"2026-06-12T01:10:11.341475+00:00"},{"alias_kind":"pith_short_8","alias_value":"GPYMOTUK","created_at":"2026-06-12T01:10:11.341475+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA","json":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA.json","graph_json":"https://pith.science/api/pith-number/GPYMOTUKCN53OGSV6YSLJBSDPA/graph.json","events_json":"https://pith.science/api/pith-number/GPYMOTUKCN53OGSV6YSLJBSDPA/events.json","paper":"https://pith.science/paper/GPYMOTUK"},"agent_actions":{"view_html":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA","download_json":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA.json","view_paper":"https://pith.science/paper/GPYMOTUK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.13580&json=true","fetch_graph":"https://pith.science/api/pith-number/GPYMOTUKCN53OGSV6YSLJBSDPA/graph.json","fetch_events":"https://pith.science/api/pith-number/GPYMOTUKCN53OGSV6YSLJBSDPA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA/action/storage_attestation","attest_author":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA/action/author_attestation","sign_citation":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA/action/citation_signature","submit_replication":"https://pith.science/pith/GPYMOTUKCN53OGSV6YSLJBSDPA/action/replication_record"}},"created_at":"2026-06-12T01:10:11.341475+00:00","updated_at":"2026-06-12T01:10:11.341475+00:00"}