{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2RKSXLCZRRQUDJPFF5QZE5RLWA","short_pith_number":"pith:2RKSXLCZ","canonical_record":{"source":{"id":"2206.00389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-01T10:41:11Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"0d93af70e49d622787efc9c56e17a36caa85f81ad81d0130345cf2a708e9e670","abstract_canon_sha256":"d0460570b43b3dff5b1938aca1a48592e8dc87fb9b2a8fa3b48f859bae1dbd10"},"schema_version":"1.0"},"canonical_sha256":"d4552bac598c6141a5e52f6192762bb013a32d83475f486f831123dbed10858d","source":{"kind":"arxiv","id":"2206.00389","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00389","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00389v1","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00389","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_12","alias_value":"2RKSXLCZRRQU","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"2RKSXLCZRRQUDJPF","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"2RKSXLCZ","created_at":"2026-07-05T04:28:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2RKSXLCZRRQUDJPFF5QZE5RLWA","target":"record","payload":{"canonical_record":{"source":{"id":"2206.00389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-01T10:41:11Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"0d93af70e49d622787efc9c56e17a36caa85f81ad81d0130345cf2a708e9e670","abstract_canon_sha256":"d0460570b43b3dff5b1938aca1a48592e8dc87fb9b2a8fa3b48f859bae1dbd10"},"schema_version":"1.0"},"canonical_sha256":"d4552bac598c6141a5e52f6192762bb013a32d83475f486f831123dbed10858d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:28:16.143818Z","signature_b64":"vWZ35ueYm5DGOPGcEt0wKj/MCMnW5lz999+RlCGSqM7thvXWpSp4ql+Izs3o5M5ZfPMa4C2QML7EWrmFb6edAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4552bac598c6141a5e52f6192762bb013a32d83475f486f831123dbed10858d","last_reissued_at":"2026-07-05T04:28:16.143403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:28:16.143403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.00389","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":"2026-07-05T04:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AcFLkf3PalrXv7zAr7X9wGPzA2/rt4Me3QYvywHbPjHt4pnhKTmR0j9sDYzVH5KELCifjHk6y+LVqTV3dUFSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:38:02.104614Z"},"content_sha256":"073c1f21231962911fbb611c00321b61800b9f2d340abf5d765fcc5a37b22486","schema_version":"1.0","event_id":"sha256:073c1f21231962911fbb611c00321b61800b9f2d340abf5d765fcc5a37b22486"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2RKSXLCZRRQUDJPFF5QZE5RLWA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A comparative study between vision transformers and CNNs in digital pathology","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Anil Yuce, Bernhard Stimpel, Fabien Gaire, Konstanty Korski, Luca Deininger, Paolo Ocampo, Samaneh Abbasi-Sureshjani, Simon Sch\\\"onenberger","submitted_at":"2022-06-01T10:41:11Z","abstract_excerpt":"Recently, vision transformers were shown to be capable of outperforming convolutional neural networks when pretrained on sufficient amounts of data. In comparison to convolutional neural networks, vision transformers have a weaker inductive bias and therefore allow a more flexible feature detection. Due to their promising feature detection, this work explores vision transformers for tumor detection in digital pathology whole slide images in four tissue types, and for tissue type identification. We compared the patch-wise classification performance of the vision transformer DeiT-Tiny to the sta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00389","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/2206.00389/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":"2026-07-05T04:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+kx52lWBIMYt7a+da7SRUweMp5R8S7HcpVHPBi4C1Hj49h7ZS9tuSRZvbVVE/2T9SPvgpFbx2ZeldfMhbPcrAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:38:02.105102Z"},"content_sha256":"146ea14ce3e2173012b27b73a659a4db51a6e9a1d0cdfd468ac9d92ff21816f6","schema_version":"1.0","event_id":"sha256:146ea14ce3e2173012b27b73a659a4db51a6e9a1d0cdfd468ac9d92ff21816f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/bundle.json","state_url":"https://pith.science/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/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":"2026-08-10T01:38:02Z","links":{"resolver":"https://pith.science/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA","bundle":"https://pith.science/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/bundle.json","state":"https://pith.science/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2RKSXLCZRRQUDJPFF5QZE5RLWA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2RKSXLCZRRQUDJPFF5QZE5RLWA","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":"d0460570b43b3dff5b1938aca1a48592e8dc87fb9b2a8fa3b48f859bae1dbd10","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-01T10:41:11Z","title_canon_sha256":"0d93af70e49d622787efc9c56e17a36caa85f81ad81d0130345cf2a708e9e670"},"schema_version":"1.0","source":{"id":"2206.00389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00389","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00389v1","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00389","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_12","alias_value":"2RKSXLCZRRQU","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"2RKSXLCZRRQUDJPF","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"2RKSXLCZ","created_at":"2026-07-05T04:28:16Z"}],"graph_snapshots":[{"event_id":"sha256:146ea14ce3e2173012b27b73a659a4db51a6e9a1d0cdfd468ac9d92ff21816f6","target":"graph","created_at":"2026-07-05T04:28:16Z","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/2206.00389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, vision transformers were shown to be capable of outperforming convolutional neural networks when pretrained on sufficient amounts of data. In comparison to convolutional neural networks, vision transformers have a weaker inductive bias and therefore allow a more flexible feature detection. Due to their promising feature detection, this work explores vision transformers for tumor detection in digital pathology whole slide images in four tissue types, and for tissue type identification. We compared the patch-wise classification performance of the vision transformer DeiT-Tiny to the sta","authors_text":"Anil Yuce, Bernhard Stimpel, Fabien Gaire, Konstanty Korski, Luca Deininger, Paolo Ocampo, Samaneh Abbasi-Sureshjani, Simon Sch\\\"onenberger","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-01T10:41:11Z","title":"A comparative study between vision transformers and CNNs in digital pathology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00389","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":"sha256:073c1f21231962911fbb611c00321b61800b9f2d340abf5d765fcc5a37b22486","target":"record","created_at":"2026-07-05T04:28:16Z","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":"d0460570b43b3dff5b1938aca1a48592e8dc87fb9b2a8fa3b48f859bae1dbd10","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-06-01T10:41:11Z","title_canon_sha256":"0d93af70e49d622787efc9c56e17a36caa85f81ad81d0130345cf2a708e9e670"},"schema_version":"1.0","source":{"id":"2206.00389","kind":"arxiv","version":1}},"canonical_sha256":"d4552bac598c6141a5e52f6192762bb013a32d83475f486f831123dbed10858d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4552bac598c6141a5e52f6192762bb013a32d83475f486f831123dbed10858d","first_computed_at":"2026-07-05T04:28:16.143403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:16.143403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vWZ35ueYm5DGOPGcEt0wKj/MCMnW5lz999+RlCGSqM7thvXWpSp4ql+Izs3o5M5ZfPMa4C2QML7EWrmFb6edAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:16.143818Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.00389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:073c1f21231962911fbb611c00321b61800b9f2d340abf5d765fcc5a37b22486","sha256:146ea14ce3e2173012b27b73a659a4db51a6e9a1d0cdfd468ac9d92ff21816f6"],"state_sha256":"0cb3f6cedde83c03c1cce041ef64d2f651c730b93ca7c7878c221cb749e77b44"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eUXnBQAPwwGaBDBmLPJmNf1ybwBhO3qvSlXRqTNQj9OmX11A+g18I7S4JxZ9xu+cy/1Rb1cnvpGdDizrhKdXAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T01:38:02.108380Z","bundle_sha256":"8f41eb61b530410013a944b21b06f6be3ac2332b3f72d7161774a7a3cd25dddc"}}