{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2RFI4TQAYGG3C3NMLS2HZLLMSK","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":"c7ce5f59584fcfd91390e54cafab16725fac02a17e57b6b8b160e51dd56fde39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-06T02:54:35Z","title_canon_sha256":"520af493373c28f0c45d2dab32deed0629afb7c625fafe9359fda6b110570969"},"schema_version":"1.0","source":{"id":"2404.04478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04478","created_at":"2026-07-05T08:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04478v1","created_at":"2026-07-05T08:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04478","created_at":"2026-07-05T08:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"2RFI4TQAYGG3","created_at":"2026-07-05T08:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"2RFI4TQAYGG3C3NM","created_at":"2026-07-05T08:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"2RFI4TQA","created_at":"2026-07-05T08:05:17Z"}],"graph_snapshots":[{"event_id":"sha256:9e7c7f54b21fab5cb5eeb5d40323c675043b5f0e031f929927a31dff1bfc7802","target":"graph","created_at":"2026-07-05T08:05:17Z","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/2404.04478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers have catalyzed advancements in computer vision and natural language processing (NLP) fields. However, substantial computational complexity poses limitations for their application in long-context tasks, such as high-resolution image generation. This paper introduces a series of architectures adapted from the RWKV model used in the NLP, with requisite modifications tailored for diffusion model applied to image generation tasks, referred to as Diffusion-RWKV. Similar to the diffusion with Transformers, our model is designed to efficiently handle patchnified inputs in a sequence with ","authors_text":"Changqian Yu, Debang Li, Junshi Huang, Mingyuan Fan, Zhengcong Fei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-06T02:54:35Z","title":"Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04478","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:d3e8f298ed5104d9241448e01e3d0d40d9645c02499ae30d548927f42be5688b","target":"record","created_at":"2026-07-05T08:05:17Z","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":"c7ce5f59584fcfd91390e54cafab16725fac02a17e57b6b8b160e51dd56fde39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-06T02:54:35Z","title_canon_sha256":"520af493373c28f0c45d2dab32deed0629afb7c625fafe9359fda6b110570969"},"schema_version":"1.0","source":{"id":"2404.04478","kind":"arxiv","version":1}},"canonical_sha256":"d44a8e4e00c18db16dac5cb47cad6c9294f94ea4f7d19da2b8e281d5729fe0fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d44a8e4e00c18db16dac5cb47cad6c9294f94ea4f7d19da2b8e281d5729fe0fe","first_computed_at":"2026-07-05T08:05:17.337431Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:05:17.337431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bc6yyBtpwvDt322L/Qc2qvjS5Dnw3dLq7zaWPOJydUMUplcr+Ne3FjTbYbVYDE3XJQrt/GRLUtlyLgflr4yIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:05:17.337982Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.04478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3e8f298ed5104d9241448e01e3d0d40d9645c02499ae30d548927f42be5688b","sha256:9e7c7f54b21fab5cb5eeb5d40323c675043b5f0e031f929927a31dff1bfc7802"],"state_sha256":"dfd40f8c591832662d5a42db6772c5836a698b2b14fea9b74e96ba10189542e4"}