{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:67NKSTFAHNFAELZESDUIJX5WWM","short_pith_number":"pith:67NKSTFA","canonical_record":{"source":{"id":"2304.01053","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T15:00:06Z","cross_cats_sorted":[],"title_canon_sha256":"8c8495e15d7e535399ad194c287ed623580334f04625a69637608fb015c1779d","abstract_canon_sha256":"f9944195a555c871c4c77e69d3f27527e06754da90d53e73d12dea96e9c4e387"},"schema_version":"1.0"},"canonical_sha256":"f7daa94ca03b4a022f2490e884dfb6b32f8a7e49f0cfd2dfcba77f1bc2889766","source":{"kind":"arxiv","id":"2304.01053","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01053","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01053v1","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01053","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_12","alias_value":"67NKSTFAHNFA","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_16","alias_value":"67NKSTFAHNFAELZE","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_8","alias_value":"67NKSTFA","created_at":"2026-07-05T05:57:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:67NKSTFAHNFAELZESDUIJX5WWM","target":"record","payload":{"canonical_record":{"source":{"id":"2304.01053","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T15:00:06Z","cross_cats_sorted":[],"title_canon_sha256":"8c8495e15d7e535399ad194c287ed623580334f04625a69637608fb015c1779d","abstract_canon_sha256":"f9944195a555c871c4c77e69d3f27527e06754da90d53e73d12dea96e9c4e387"},"schema_version":"1.0"},"canonical_sha256":"f7daa94ca03b4a022f2490e884dfb6b32f8a7e49f0cfd2dfcba77f1bc2889766","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:57:25.979766Z","signature_b64":"k6R8dnfqoBKdCsGUwdXY4DaTi+lCGHxXgXvKrubaGUWsdpog4ArRbBVtTn2LMKIGSmRh/MxjmCdkh7wIGfrGCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7daa94ca03b4a022f2490e884dfb6b32f8a7e49f0cfd2dfcba77f1bc2889766","last_reissued_at":"2026-07-05T05:57:25.979229Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:57:25.979229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.01053","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:57:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mBV08r4tiX6oovkGpg11tJkVWk8GrV5FtAdD2uiqJu/G/fq7F///p/uFwu8QYjXslvmpUvkiF9ZpnsWUSaFbDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:37:41.245964Z"},"content_sha256":"dcc683f6d779e7391e9cc9621620289b0fac6467e32099d1077e84464a771d0b","schema_version":"1.0","event_id":"sha256:dcc683f6d779e7391e9cc9621620289b0fac6467e32099d1077e84464a771d0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:67NKSTFAHNFAELZESDUIJX5WWM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Prateek Prasanna, Rajarsi Gupta, Saarthak Kapse, Xuan Xu","submitted_at":"2023-04-03T15:00:06Z","abstract_excerpt":"Generative AI has received substantial attention in recent years due to its ability to synthesize data that closely resembles the original data source. While Generative Adversarial Networks (GANs) have provided innovative approaches for histopathological image analysis, they suffer from limitations such as mode collapse and overfitting in discriminator. Recently, Denoising Diffusion models have demonstrated promising results in computer vision. These models exhibit superior stability during training, better distribution coverage, and produce high-quality diverse images. Additionally, they disp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01053","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.01053/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:57:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kvPsl2PuElwiLe4TWObPlx9faMgpEuOas2oPolpkL+qpy8aB4obKsp636K1+3gUH0BgEdLSghLtfel4/SrG4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:37:41.246351Z"},"content_sha256":"da1376548a17000f6a4938e907490a4c40b40ac5c98ceb847e8a6500736cd823","schema_version":"1.0","event_id":"sha256:da1376548a17000f6a4938e907490a4c40b40ac5c98ceb847e8a6500736cd823"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/67NKSTFAHNFAELZESDUIJX5WWM/bundle.json","state_url":"https://pith.science/pith/67NKSTFAHNFAELZESDUIJX5WWM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/67NKSTFAHNFAELZESDUIJX5WWM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T18:37:41Z","links":{"resolver":"https://pith.science/pith/67NKSTFAHNFAELZESDUIJX5WWM","bundle":"https://pith.science/pith/67NKSTFAHNFAELZESDUIJX5WWM/bundle.json","state":"https://pith.science/pith/67NKSTFAHNFAELZESDUIJX5WWM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/67NKSTFAHNFAELZESDUIJX5WWM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:67NKSTFAHNFAELZESDUIJX5WWM","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":"f9944195a555c871c4c77e69d3f27527e06754da90d53e73d12dea96e9c4e387","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T15:00:06Z","title_canon_sha256":"8c8495e15d7e535399ad194c287ed623580334f04625a69637608fb015c1779d"},"schema_version":"1.0","source":{"id":"2304.01053","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01053","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01053v1","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01053","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_12","alias_value":"67NKSTFAHNFA","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_16","alias_value":"67NKSTFAHNFAELZE","created_at":"2026-07-05T05:57:25Z"},{"alias_kind":"pith_short_8","alias_value":"67NKSTFA","created_at":"2026-07-05T05:57:25Z"}],"graph_snapshots":[{"event_id":"sha256:da1376548a17000f6a4938e907490a4c40b40ac5c98ceb847e8a6500736cd823","target":"graph","created_at":"2026-07-05T05:57:25Z","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/2304.01053/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI has received substantial attention in recent years due to its ability to synthesize data that closely resembles the original data source. While Generative Adversarial Networks (GANs) have provided innovative approaches for histopathological image analysis, they suffer from limitations such as mode collapse and overfitting in discriminator. Recently, Denoising Diffusion models have demonstrated promising results in computer vision. These models exhibit superior stability during training, better distribution coverage, and produce high-quality diverse images. Additionally, they disp","authors_text":"Prateek Prasanna, Rajarsi Gupta, Saarthak Kapse, Xuan Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T15:00:06Z","title":"ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01053","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:dcc683f6d779e7391e9cc9621620289b0fac6467e32099d1077e84464a771d0b","target":"record","created_at":"2026-07-05T05:57:25Z","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":"f9944195a555c871c4c77e69d3f27527e06754da90d53e73d12dea96e9c4e387","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T15:00:06Z","title_canon_sha256":"8c8495e15d7e535399ad194c287ed623580334f04625a69637608fb015c1779d"},"schema_version":"1.0","source":{"id":"2304.01053","kind":"arxiv","version":1}},"canonical_sha256":"f7daa94ca03b4a022f2490e884dfb6b32f8a7e49f0cfd2dfcba77f1bc2889766","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7daa94ca03b4a022f2490e884dfb6b32f8a7e49f0cfd2dfcba77f1bc2889766","first_computed_at":"2026-07-05T05:57:25.979229Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:57:25.979229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k6R8dnfqoBKdCsGUwdXY4DaTi+lCGHxXgXvKrubaGUWsdpog4ArRbBVtTn2LMKIGSmRh/MxjmCdkh7wIGfrGCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:57:25.979766Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.01053","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcc683f6d779e7391e9cc9621620289b0fac6467e32099d1077e84464a771d0b","sha256:da1376548a17000f6a4938e907490a4c40b40ac5c98ceb847e8a6500736cd823"],"state_sha256":"58ada4008bc07ed546c1ba34631e951428e0f65ad70a68494038e5acfd5ab36d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+9mFX5bC/FPHpShRvBHc8CfM/ZMsdldExyEmQmGrBziOfZw5lTbQuZ/2kFCng62dj5PZnBfCmsigCX4JLI8YAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:37:41.248239Z","bundle_sha256":"f5e07e56726806fd2e0e1eed8c4ab6cc7c4e2336c015675d2728dedbdbe96138"}}