{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WM2KU2XF5RIWVFDNNCAXJGTWUY","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":"875949a12ff103253604e35c561b56776d7deac178d4d76677df9e03c88f8ee3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T00:05:36Z","title_canon_sha256":"1f38fed52f51ca314eff2bbf239701b46eb32bbe33ae93720db495c8598ed2ee"},"schema_version":"1.0","source":{"id":"2606.04299","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04299","created_at":"2026-06-04T01:09:02Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04299v1","created_at":"2026-06-04T01:09:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04299","created_at":"2026-06-04T01:09:02Z"},{"alias_kind":"pith_short_12","alias_value":"WM2KU2XF5RIW","created_at":"2026-06-04T01:09:02Z"},{"alias_kind":"pith_short_16","alias_value":"WM2KU2XF5RIWVFDN","created_at":"2026-06-04T01:09:02Z"},{"alias_kind":"pith_short_8","alias_value":"WM2KU2XF","created_at":"2026-06-04T01:09:02Z"}],"graph_snapshots":[{"event_id":"sha256:b23f470617fd7d99d60b2fcc07135553cabcced2ccfd6400b2cffdb42500dced","target":"graph","created_at":"2026-06-04T01:09:02Z","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/2606.04299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider the problem of generating images whose internal structure -- defined by the distribution of patches across multiple scales -- matches that of a single reference image. Recent approaches address this problem by training a diffusion model on a single image. But even in this setting, training is computationally expensive and requires hours of optimization. Instead, we model the image using a dataset of its patches at different scales. As this dataset is finite and the dimensionality of its patches is small, the score function for a noisy patch can be computed tractably using an optima","authors_text":"David B. Lindell, Haojun Qiu, Kiriakos N. Kutulakos","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T00:05:36Z","title":"Efficient and Training-Free Single-Image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04299","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:bad2b67003df3384a9c1abb12c6301b347f681ef836a17993a60cfa24a9106e7","target":"record","created_at":"2026-06-04T01:09:02Z","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":"875949a12ff103253604e35c561b56776d7deac178d4d76677df9e03c88f8ee3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T00:05:36Z","title_canon_sha256":"1f38fed52f51ca314eff2bbf239701b46eb32bbe33ae93720db495c8598ed2ee"},"schema_version":"1.0","source":{"id":"2606.04299","kind":"arxiv","version":1}},"canonical_sha256":"b334aa6ae5ec516a946d6881749a76a6248270f394e7e495b63efbf5f5ceaea8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b334aa6ae5ec516a946d6881749a76a6248270f394e7e495b63efbf5f5ceaea8","first_computed_at":"2026-06-04T01:09:02.484388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:02.484388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2632arFyR8guEhpJHgY6bgKDKgZsuPiYjIUzvjLtUwtP2hJxbGg4FVmdQEL79cj4Nto1kPMuaPlWnU+56maSDg==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:02.484857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04299","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bad2b67003df3384a9c1abb12c6301b347f681ef836a17993a60cfa24a9106e7","sha256:b23f470617fd7d99d60b2fcc07135553cabcced2ccfd6400b2cffdb42500dced"],"state_sha256":"378cc7e79ccfbc0e1f17a930ac6ab7d2c4ffe2245e7dd31d3bb488c22277c456"}