{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PHPD54UBYS5HZOJH6FHUDJURLT","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":"e58e874f63a036f5fa073ae026ba7a44c08bfc401d25c7c97486d4f0a09251a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-12T14:45:45Z","title_canon_sha256":"c07a565a81645f8c1512b2e1e2d8d0e23ed8b23b85f64c4e8f2c6e9de91a9d5b"},"schema_version":"1.0","source":{"id":"2312.07330","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.07330","created_at":"2026-07-05T08:01:35Z"},{"alias_kind":"arxiv_version","alias_value":"2312.07330v2","created_at":"2026-07-05T08:01:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.07330","created_at":"2026-07-05T08:01:35Z"},{"alias_kind":"pith_short_12","alias_value":"PHPD54UBYS5H","created_at":"2026-07-05T08:01:35Z"},{"alias_kind":"pith_short_16","alias_value":"PHPD54UBYS5HZOJH","created_at":"2026-07-05T08:01:35Z"},{"alias_kind":"pith_short_8","alias_value":"PHPD54UB","created_at":"2026-07-05T08:01:35Z"}],"graph_snapshots":[{"event_id":"sha256:604636139529a07b48d61dc79a292050b0c4c74d051c9eeda36cd99ad0bced67","target":"graph","created_at":"2026-07-05T08:01:35Z","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/2312.07330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To synthesize high-fidelity samples, diffusion models typically require auxiliary data to guide the generation process. However, it is impractical to procure the painstaking patch-level annotation effort required in specialized domains like histopathology and satellite imagery; it is often performed by domain experts and involves hundreds of millions of patches. Modern-day self-supervised learning (SSL) representations encode rich semantic and visual information. In this paper, we posit that such representations are expressive enough to act as proxies to fine-grained human labels. We introduce","authors_text":"Alexandros Graikos, Dimitris Samaras, Joel Saltz, Minh-Quan Le, Prateek Prasanna, Saarthak Kapse, Srikar Yellapragada","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-12T14:45:45Z","title":"Learned representation-guided diffusion models for large-image generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.07330","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":"sha256:1a2606861a222490a38a96c1582ffa8d3796a2b441c59c63e5a88ef603c2b50b","target":"record","created_at":"2026-07-05T08:01:35Z","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":"e58e874f63a036f5fa073ae026ba7a44c08bfc401d25c7c97486d4f0a09251a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-12T14:45:45Z","title_canon_sha256":"c07a565a81645f8c1512b2e1e2d8d0e23ed8b23b85f64c4e8f2c6e9de91a9d5b"},"schema_version":"1.0","source":{"id":"2312.07330","kind":"arxiv","version":2}},"canonical_sha256":"79de3ef281c4ba7cb927f14f41a6915cd2ac7f5d0054ba4defb761e5dd2d54ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79de3ef281c4ba7cb927f14f41a6915cd2ac7f5d0054ba4defb761e5dd2d54ec","first_computed_at":"2026-07-05T08:01:35.777578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:35.777578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MeNkSNWSMt7mFv8rB5V3AN2k1LX0o2m42FVvrn6Az71bW899GFnZUpsVhYmt7JFx7Qi9MKYH+Fy6uuxzF7gbDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:35.778074Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.07330","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a2606861a222490a38a96c1582ffa8d3796a2b441c59c63e5a88ef603c2b50b","sha256:604636139529a07b48d61dc79a292050b0c4c74d051c9eeda36cd99ad0bced67"],"state_sha256":"e2f3cf77ec03677a140a0e32ae0a896644d4ad43cf5f998ce21ada1590fdc576"}