{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IEPGYANTSMTEBZFW7ONC7EFEOI","short_pith_number":"pith:IEPGYANT","canonical_record":{"source":{"id":"2504.05186","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T15:38:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"055561ef62c57807b6cc510d86a9fd535d4793c91b4d1c51b6088e742af497c7","abstract_canon_sha256":"0710125cb9349c67ac2d9166c05eb6307a1d07914794577e2532ab23ee4dc4ba"},"schema_version":"1.0"},"canonical_sha256":"411e6c01b3932640e4b6fb9a2f90a4723ab37c77e25ab19d759fc7ea98c71eea","source":{"kind":"arxiv","id":"2504.05186","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.05186","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.05186v1","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.05186","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_12","alias_value":"IEPGYANTSMTE","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_16","alias_value":"IEPGYANTSMTEBZFW","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_8","alias_value":"IEPGYANT","created_at":"2026-07-05T10:45:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IEPGYANTSMTEBZFW7ONC7EFEOI","target":"record","payload":{"canonical_record":{"source":{"id":"2504.05186","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T15:38:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"055561ef62c57807b6cc510d86a9fd535d4793c91b4d1c51b6088e742af497c7","abstract_canon_sha256":"0710125cb9349c67ac2d9166c05eb6307a1d07914794577e2532ab23ee4dc4ba"},"schema_version":"1.0"},"canonical_sha256":"411e6c01b3932640e4b6fb9a2f90a4723ab37c77e25ab19d759fc7ea98c71eea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:34.945526Z","signature_b64":"52/Ef3PglMnv6yz9uD8cHRd42aSgrIFnmHcez8Olg11yRkeT4YNc3Am1SbPFGvm2t6r9BNDhlUw2H2wdx12GDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"411e6c01b3932640e4b6fb9a2f90a4723ab37c77e25ab19d759fc7ea98c71eea","last_reissued_at":"2026-07-05T10:45:34.945032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:34.945032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.05186","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":"2026-07-05T10:45:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xhfiNKJfLhhLdSDV/31DRSgOzyplUDFAjw4CYdui7jP7kLHehbQDci8ZGOcekgzLbrnDFJhbGWOeLcoXgdSYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:22:23.247437Z"},"content_sha256":"7907778053ed35c60b77d7300adb6398e4821a8ae8e446e09308c47cfc10e05d","schema_version":"1.0","event_id":"sha256:7907778053ed35c60b77d7300adb6398e4821a8ae8e446e09308c47cfc10e05d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IEPGYANTSMTEBZFW7ONC7EFEOI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Training state-of-the-art pathology foundation models with orders of magnitude less data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Fei Tang, Hugo Mark Horlings, Joost van Doorn, Melis Erdal Cesur, Mikhail Karasikov, Nicolas K\\\"anzig, Robert Berke, Sebastian Ot\\'alora","submitted_at":"2025-04-07T15:38:12Z","abstract_excerpt":"The field of computational pathology has recently seen rapid advances driven by the development of modern vision foundation models (FMs), typically trained on vast collections of pathology images. Recent studies demonstrate that increasing the training data set and model size and integrating domain-specific image processing techniques can significantly enhance the model's performance on downstream tasks. Building on these insights, our work incorporates several recent modifications to the standard DINOv2 framework from the literature to optimize the training of pathology FMs. We also apply a p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.05186","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/2504.05186/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":"2026-07-05T10:45:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UPIvdct/ZVRfkhzBxoT2hl9hgnTNSURofedu0Dv2eOJZNelAMDiUry73jpPUfwq6OIpvvfpzB+c6efuubEv3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:22:23.248231Z"},"content_sha256":"348e9c3a878359af64542046340ec5c6df9dfd12c2b44e27889a28493ab0fba6","schema_version":"1.0","event_id":"sha256:348e9c3a878359af64542046340ec5c6df9dfd12c2b44e27889a28493ab0fba6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/bundle.json","state_url":"https://pith.science/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/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":"2026-08-13T15:22:23Z","links":{"resolver":"https://pith.science/pith/IEPGYANTSMTEBZFW7ONC7EFEOI","bundle":"https://pith.science/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/bundle.json","state":"https://pith.science/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IEPGYANTSMTEBZFW7ONC7EFEOI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IEPGYANTSMTEBZFW7ONC7EFEOI","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":"0710125cb9349c67ac2d9166c05eb6307a1d07914794577e2532ab23ee4dc4ba","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T15:38:12Z","title_canon_sha256":"055561ef62c57807b6cc510d86a9fd535d4793c91b4d1c51b6088e742af497c7"},"schema_version":"1.0","source":{"id":"2504.05186","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.05186","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.05186v1","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.05186","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_12","alias_value":"IEPGYANTSMTE","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_16","alias_value":"IEPGYANTSMTEBZFW","created_at":"2026-07-05T10:45:34Z"},{"alias_kind":"pith_short_8","alias_value":"IEPGYANT","created_at":"2026-07-05T10:45:34Z"}],"graph_snapshots":[{"event_id":"sha256:348e9c3a878359af64542046340ec5c6df9dfd12c2b44e27889a28493ab0fba6","target":"graph","created_at":"2026-07-05T10:45:34Z","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/2504.05186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field of computational pathology has recently seen rapid advances driven by the development of modern vision foundation models (FMs), typically trained on vast collections of pathology images. Recent studies demonstrate that increasing the training data set and model size and integrating domain-specific image processing techniques can significantly enhance the model's performance on downstream tasks. Building on these insights, our work incorporates several recent modifications to the standard DINOv2 framework from the literature to optimize the training of pathology FMs. We also apply a p","authors_text":"Fei Tang, Hugo Mark Horlings, Joost van Doorn, Melis Erdal Cesur, Mikhail Karasikov, Nicolas K\\\"anzig, Robert Berke, Sebastian Ot\\'alora","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T15:38:12Z","title":"Training state-of-the-art pathology foundation models with orders of magnitude less data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.05186","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":"sha256:7907778053ed35c60b77d7300adb6398e4821a8ae8e446e09308c47cfc10e05d","target":"record","created_at":"2026-07-05T10:45:34Z","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":"0710125cb9349c67ac2d9166c05eb6307a1d07914794577e2532ab23ee4dc4ba","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T15:38:12Z","title_canon_sha256":"055561ef62c57807b6cc510d86a9fd535d4793c91b4d1c51b6088e742af497c7"},"schema_version":"1.0","source":{"id":"2504.05186","kind":"arxiv","version":1}},"canonical_sha256":"411e6c01b3932640e4b6fb9a2f90a4723ab37c77e25ab19d759fc7ea98c71eea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"411e6c01b3932640e4b6fb9a2f90a4723ab37c77e25ab19d759fc7ea98c71eea","first_computed_at":"2026-07-05T10:45:34.945032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:34.945032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"52/Ef3PglMnv6yz9uD8cHRd42aSgrIFnmHcez8Olg11yRkeT4YNc3Am1SbPFGvm2t6r9BNDhlUw2H2wdx12GDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:34.945526Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.05186","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7907778053ed35c60b77d7300adb6398e4821a8ae8e446e09308c47cfc10e05d","sha256:348e9c3a878359af64542046340ec5c6df9dfd12c2b44e27889a28493ab0fba6"],"state_sha256":"7d7b933a06f38892283efe5243f8ce570809057a9cf166096dadbacd624a32a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4wuUYbxRy6f0xhgzuU+KXu8dFuHQMRn+hLXCbimXSS8tuEj5KC1WKROFURNRcCm94hG53DcRqRZuLt+89d6iDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T15:22:23.253949Z","bundle_sha256":"48e803b9b9e6dd7fcc07bbf605d95ec6f194b64aa713f12f40f987bf16c69588"}}