{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MCYPGDAGYIJVXJWF4JWCOCLVES","short_pith_number":"pith:MCYPGDAG","canonical_record":{"source":{"id":"2405.15127","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-24T00:59:30Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"448174863a0380c4e26ef0bd016648d21d2b0bd8da4e4190a899a2bff2f23bc8","abstract_canon_sha256":"821896d82af3da8728090f3fe0530bc6f47ec88a6ee9cb217988a524df8d150b"},"schema_version":"1.0"},"canonical_sha256":"60b0f30c06c2135ba6c5e26c270975248c3151dc9812b7bacb182f7b2a09e7e1","source":{"kind":"arxiv","id":"2405.15127","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15127","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15127v1","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15127","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_12","alias_value":"MCYPGDAGYIJV","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_16","alias_value":"MCYPGDAGYIJVXJWF","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_8","alias_value":"MCYPGDAG","created_at":"2026-07-05T08:22:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MCYPGDAGYIJVXJWF4JWCOCLVES","target":"record","payload":{"canonical_record":{"source":{"id":"2405.15127","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-24T00:59:30Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"448174863a0380c4e26ef0bd016648d21d2b0bd8da4e4190a899a2bff2f23bc8","abstract_canon_sha256":"821896d82af3da8728090f3fe0530bc6f47ec88a6ee9cb217988a524df8d150b"},"schema_version":"1.0"},"canonical_sha256":"60b0f30c06c2135ba6c5e26c270975248c3151dc9812b7bacb182f7b2a09e7e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:45.551709Z","signature_b64":"f9qKqr9myxB5wbKhznTYkT74awdYsj2qQJTd7Nl2/dZ2TiaL0OcVKobAO/9AmWXDUHCaTAjsJ97W5DHBjsehDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60b0f30c06c2135ba6c5e26c270975248c3151dc9812b7bacb182f7b2a09e7e1","last_reissued_at":"2026-07-05T08:22:45.551239Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:45.551239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.15127","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":"2026-07-05T08:22:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jVRjuo+A+RqDKj6/JABiC8hrKiE/oG2YonGo3l5Y6m/U6vH9jzclP/EF1rAQSm4H2Ievn1IzTvLVdiaPF4KPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T08:04:21.976120Z"},"content_sha256":"93eb334ed2601a722123a97858130fa96d57442694af19189fbd826a10bfeafb","schema_version":"1.0","event_id":"sha256:93eb334ed2601a722123a97858130fa96d57442694af19189fbd826a10bfeafb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MCYPGDAGYIJVXJWF4JWCOCLVES","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Clement Grisi, Filippo Fraggetta, Francesco Ciompi, Iris Nagtegaal, Marina D'Amato, Nohemi Sofia Leon Contreras, Simona Vatrano, Witali Aswolinskiy","submitted_at":"2024-05-24T00:59:30Z","abstract_excerpt":"Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel resolution of WSIs. However, recent advances in self-supervised learning have shown that highly descriptive image representations can be learned without the need for annotations. We investigate the application of the recent Hierarchical Image Pyramid Transformer (HIPT) model for the specific task of classification of colorectal biopsies and polyps. After evaluating the effectiveness of TCGA-learned features in the original HIPT model, we incorpor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15127","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/2405.15127/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":"2026-07-05T08:22:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rdDqbd/qR0c99+cidpaoW+WSDt6k46upokCVqd5kBFFySfEoFYtumnMfvRnUiRpHZZQGQRCa41kOqZlnLPDxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T08:04:21.976632Z"},"content_sha256":"617148bfbfca937305a9a3dbccb80fc55905f26d140fb89abaa71c2866d3ed03","schema_version":"1.0","event_id":"sha256:617148bfbfca937305a9a3dbccb80fc55905f26d140fb89abaa71c2866d3ed03"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/bundle.json","state_url":"https://pith.science/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/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":"2026-08-19T08:04:21Z","links":{"resolver":"https://pith.science/pith/MCYPGDAGYIJVXJWF4JWCOCLVES","bundle":"https://pith.science/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/bundle.json","state":"https://pith.science/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MCYPGDAGYIJVXJWF4JWCOCLVES/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MCYPGDAGYIJVXJWF4JWCOCLVES","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":"821896d82af3da8728090f3fe0530bc6f47ec88a6ee9cb217988a524df8d150b","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-24T00:59:30Z","title_canon_sha256":"448174863a0380c4e26ef0bd016648d21d2b0bd8da4e4190a899a2bff2f23bc8"},"schema_version":"1.0","source":{"id":"2405.15127","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15127","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15127v1","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15127","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_12","alias_value":"MCYPGDAGYIJV","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_16","alias_value":"MCYPGDAGYIJVXJWF","created_at":"2026-07-05T08:22:45Z"},{"alias_kind":"pith_short_8","alias_value":"MCYPGDAG","created_at":"2026-07-05T08:22:45Z"}],"graph_snapshots":[{"event_id":"sha256:617148bfbfca937305a9a3dbccb80fc55905f26d140fb89abaa71c2866d3ed03","target":"graph","created_at":"2026-07-05T08:22:45Z","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/2405.15127/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel resolution of WSIs. However, recent advances in self-supervised learning have shown that highly descriptive image representations can be learned without the need for annotations. We investigate the application of the recent Hierarchical Image Pyramid Transformer (HIPT) model for the specific task of classification of colorectal biopsies and polyps. After evaluating the effectiveness of TCGA-learned features in the original HIPT model, we incorpor","authors_text":"Clement Grisi, Filippo Fraggetta, Francesco Ciompi, Iris Nagtegaal, Marina D'Amato, Nohemi Sofia Leon Contreras, Simona Vatrano, Witali Aswolinskiy","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-24T00:59:30Z","title":"Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15127","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":"sha256:93eb334ed2601a722123a97858130fa96d57442694af19189fbd826a10bfeafb","target":"record","created_at":"2026-07-05T08:22:45Z","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":"821896d82af3da8728090f3fe0530bc6f47ec88a6ee9cb217988a524df8d150b","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-24T00:59:30Z","title_canon_sha256":"448174863a0380c4e26ef0bd016648d21d2b0bd8da4e4190a899a2bff2f23bc8"},"schema_version":"1.0","source":{"id":"2405.15127","kind":"arxiv","version":1}},"canonical_sha256":"60b0f30c06c2135ba6c5e26c270975248c3151dc9812b7bacb182f7b2a09e7e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60b0f30c06c2135ba6c5e26c270975248c3151dc9812b7bacb182f7b2a09e7e1","first_computed_at":"2026-07-05T08:22:45.551239Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:45.551239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f9qKqr9myxB5wbKhznTYkT74awdYsj2qQJTd7Nl2/dZ2TiaL0OcVKobAO/9AmWXDUHCaTAjsJ97W5DHBjsehDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:45.551709Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.15127","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93eb334ed2601a722123a97858130fa96d57442694af19189fbd826a10bfeafb","sha256:617148bfbfca937305a9a3dbccb80fc55905f26d140fb89abaa71c2866d3ed03"],"state_sha256":"237d3e69112c90f5dff32a11782a0edb1b6c46734806a7c0e0c5444e2092067f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sGp05gyfWQAxtebRsocqdRiO6bZTQzyz53SCf6p1ANyKvcROhFbKaUg9HNVDyIhtvd28krRb7aI7Ff4CmABGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T08:04:21.982079Z","bundle_sha256":"d6096233188bd33fb499d840fb86f93e37586dbbc4f7b24d7f01705b69c262a7"}}