{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UWMGKXJIR4XJXHQUZR2YPTMLGZ","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":"375000680285591e304d0e9094ce46da396684518237760c840b2262f2180670","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-05T06:33:42Z","title_canon_sha256":"cf060793d934fd8805e8c54f01a362c0037772e1137017cc708dda1a6aad60c2"},"schema_version":"1.0","source":{"id":"2410.04056","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04056","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04056v2","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04056","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"UWMGKXJIR4XJ","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"UWMGKXJIR4XJXHQU","created_at":"2026-07-05T09:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"UWMGKXJI","created_at":"2026-07-05T09:44:15Z"}],"graph_snapshots":[{"event_id":"sha256:ecea792f33711ee6022bb4eefea8d307866dd9a87f2870127a479e5e4a37e4bd","target":"graph","created_at":"2026-07-05T09:44:15Z","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/2410.04056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Time cost is a major challenge in achieving high-quality pluralistic image completion. Recently, the Retentive Network (RetNet) in natural language processing offers a novel approach to this problem with its low-cost inference capabilities. Inspired by this, we apply RetNet to the pluralistic image completion task in computer vision. We present RetCompletion, a two-stage framework. In the first stage, we introduce Bi-RetNet, a bidirectional sequence information fusion model that integrates contextual information from images. During inference, we employ a unidirectional pixel-wise update strate","authors_text":"Li Shi, Pingge Hu, Xiaoteng Zhang, Xingtong Wang, Yueyang Cang, Yuhang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-05T06:33:42Z","title":"RetCompletion:High-Speed Inference Image Completion with Retentive Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04056","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":"sha256:85d2a45b565ca5a9c0f0a2544f9fff50d7592ca2f51bae33d1d9ee6049c6c6dc","target":"record","created_at":"2026-07-05T09:44:15Z","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":"375000680285591e304d0e9094ce46da396684518237760c840b2262f2180670","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-05T06:33:42Z","title_canon_sha256":"cf060793d934fd8805e8c54f01a362c0037772e1137017cc708dda1a6aad60c2"},"schema_version":"1.0","source":{"id":"2410.04056","kind":"arxiv","version":2}},"canonical_sha256":"a598655d288f2e9b9e14cc7587cd8b36546d3b127e662ff898e8be6f15302e74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a598655d288f2e9b9e14cc7587cd8b36546d3b127e662ff898e8be6f15302e74","first_computed_at":"2026-07-05T09:44:15.249982Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:15.249982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6DojbG2EFkG0omeDbBYqy5hqd4v58aLDLRG8VqNyIlXqLsPo2rk4bZS5XpyUqxyYEjQunMuPYPH3sGtmaeWABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:15.250470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04056","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85d2a45b565ca5a9c0f0a2544f9fff50d7592ca2f51bae33d1d9ee6049c6c6dc","sha256:ecea792f33711ee6022bb4eefea8d307866dd9a87f2870127a479e5e4a37e4bd"],"state_sha256":"0a74fe81e647b0cabb7ecc0618f73e70a2110a9bc5bc441e571661674fefdc73"}