{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SDNXHXWOWFMU4YNMPVQHRZHBQH","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":"72d8ec0165bc186b44909904e2520bedf655dbdf66c6a4319fd232a27698e19a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-14T11:49:43Z","title_canon_sha256":"4158004758a2d4b82438eeeb7ead0ffb8c195102f17693aa34d021fd398fb20f"},"schema_version":"1.0","source":{"id":"2403.09302","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09302","created_at":"2026-07-05T08:43:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09302v2","created_at":"2026-07-05T08:43:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09302","created_at":"2026-07-05T08:43:09Z"},{"alias_kind":"pith_short_12","alias_value":"SDNXHXWOWFMU","created_at":"2026-07-05T08:43:09Z"},{"alias_kind":"pith_short_16","alias_value":"SDNXHXWOWFMU4YNM","created_at":"2026-07-05T08:43:09Z"},{"alias_kind":"pith_short_8","alias_value":"SDNXHXWO","created_at":"2026-07-05T08:43:09Z"}],"graph_snapshots":[{"event_id":"sha256:94c1473a6f749a89335bacfd90b65eae56f174e5ad1cf4049998a64f33fb5933","target":"graph","created_at":"2026-07-05T08:43:09Z","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/2403.09302/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stain normalization algorithms aim to transform the color and intensity characteristics of a source multi-gigapixel histology image to match those of a target image, mitigating inconsistencies in the appearance of stains used to highlight cellular components in the images. We propose a new approach, StainFuser, which treats this problem as a style transfer task using a novel Conditional Latent Diffusion architecture, eliminating the need for handcrafted color components. With this method, we curate SPI-2M the largest stain normalization dataset to date of over 2 million histology images with n","authors_text":"Abhir Bhalerao, Nasir Rajpoot, Quoc Dang Vu, Robert Jewsbury, Ruoyu Wang","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-14T11:49:43Z","title":"StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09302","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":"sha256:29c235290105b6ffd9d01da1cd3c15e4b6421c3453cfb00afb622b48c8afb078","target":"record","created_at":"2026-07-05T08:43:09Z","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":"72d8ec0165bc186b44909904e2520bedf655dbdf66c6a4319fd232a27698e19a","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-14T11:49:43Z","title_canon_sha256":"4158004758a2d4b82438eeeb7ead0ffb8c195102f17693aa34d021fd398fb20f"},"schema_version":"1.0","source":{"id":"2403.09302","kind":"arxiv","version":2}},"canonical_sha256":"90db73deceb1594e61ac7d6078e4e181ef08009c2658447a19369ccc94dcb7db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90db73deceb1594e61ac7d6078e4e181ef08009c2658447a19369ccc94dcb7db","first_computed_at":"2026-07-05T08:43:09.147063Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:09.147063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"okVBv78sG5g5IM4YxorWVPyiC2D8jLihEBRqXUIGsUSV6Q7JjJ5WaUJks/DABbDFfLpAA9wVKOE4gf7yF5CmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:09.147562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09302","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29c235290105b6ffd9d01da1cd3c15e4b6421c3453cfb00afb622b48c8afb078","sha256:94c1473a6f749a89335bacfd90b65eae56f174e5ad1cf4049998a64f33fb5933"],"state_sha256":"55e9fa954c722fdc3096a14b3b2a06a0b91071d86c989b62728da3bf92d500ca"}