{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OQ6SZXWHHE376SA257NJZF4S4V","short_pith_number":"pith:OQ6SZXWH","canonical_record":{"source":{"id":"2605.17668","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T22:02:02Z","cross_cats_sorted":[],"title_canon_sha256":"2bcc12f95b1484af905e237b9891186d09443b7c1effcd414127245118242d3a","abstract_canon_sha256":"cf8dcbd3899b3b31ad6042b199610253dc8bc50ea0d1d34f74b900c50ce83974"},"schema_version":"1.0"},"canonical_sha256":"743d2cdec73937ff481aefda9c9792e5765973e660f18cc1ee33ad9893d3640b","source":{"kind":"arxiv","id":"2605.17668","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17668","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17668v1","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17668","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"OQ6SZXWHHE37","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"OQ6SZXWHHE376SA2","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"OQ6SZXWH","created_at":"2026-05-20T00:04:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OQ6SZXWHHE376SA257NJZF4S4V","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17668","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T22:02:02Z","cross_cats_sorted":[],"title_canon_sha256":"2bcc12f95b1484af905e237b9891186d09443b7c1effcd414127245118242d3a","abstract_canon_sha256":"cf8dcbd3899b3b31ad6042b199610253dc8bc50ea0d1d34f74b900c50ce83974"},"schema_version":"1.0"},"canonical_sha256":"743d2cdec73937ff481aefda9c9792e5765973e660f18cc1ee33ad9893d3640b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:51.803108Z","signature_b64":"KZUya1PWhe1cLN5qBrwKh2YqFbEuRxzvF4dfXO1PwyVB97agrMG1BWZcI1eRDNKNukJEm7mBhCUMLtqkkMoSAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"743d2cdec73937ff481aefda9c9792e5765973e660f18cc1ee33ad9893d3640b","last_reissued_at":"2026-05-20T00:04:51.802312Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:51.802312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17668","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":"2026-05-20T00:04:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Acl4pa98QmLkExVriRx7pjyaNX0wjKks2upumeejJdgaU5OA5lNUzxYeo/lK6aU4oulcr8bNIGvkEA4nNwURCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T03:54:23.805760Z"},"content_sha256":"c24d48b39b4e572abba62c554678bb8c36486e478b5b74f8d57d2fc397b58a00","schema_version":"1.0","event_id":"sha256:c24d48b39b4e572abba62c554678bb8c36486e478b5b74f8d57d2fc397b58a00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OQ6SZXWHHE376SA257NJZF4S4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep learning-based compression of giga-resolution whole slide images","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Erik Smistad, Etienne Gaucher, Ingerid Reinertsen, Maren H{\\o}ib{\\o}, Marit Valla","submitted_at":"2026-05-17T22:02:02Z","abstract_excerpt":"Implementation of digital pathology leads to an increased number of whole slide images (WSIs). The large size of WSIs is challenging. Today, WSIs are compressed with codecs like JPEG resulting in several gigabytes per WSI, and large amounts of space are wasted storing glass. In this study, deep learning-based tissue segmentation for glass removal, and deep learning compression methods were explored and compared with JPEG, JPEG-2000 and JPEG-XL.\n  Image pyramids (N=21) with intact glass, glass replaced by single-colored pixels, and glass replaced by zero-byte tiles were created and compressed w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17668","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/2605.17668/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"cited_work_retraction","ran_at":"2026-05-19T22:21:56.981286Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"citation_quote_validity","ran_at":"2026-05-19T21:49:44.265053Z","status":"skipped","version":"0.1.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.536468Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T21:21:57.451776Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"4e4c8ec69ffea9cc90cb8fb6a7e43001a6cd253d746021c5f2538c70a7bb5dd4"},"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":"2026-05-20T00:04:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SFonr+ylCPxFDvgciJ+eKzchJEhExoIkrV3mYNUR9eKIg7NzkH8+ostmPJtGAeuA9BSLFW/WRA9+JHPImThVCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T03:54:23.806181Z"},"content_sha256":"5fd737b633ce6bca1a2546e03ae1083b97a4945d6ee4be9cdf7a6f598b89ce94","schema_version":"1.0","event_id":"sha256:5fd737b633ce6bca1a2546e03ae1083b97a4945d6ee4be9cdf7a6f598b89ce94"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OQ6SZXWHHE376SA257NJZF4S4V/bundle.json","state_url":"https://pith.science/pith/OQ6SZXWHHE376SA257NJZF4S4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OQ6SZXWHHE376SA257NJZF4S4V/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":"2026-05-31T03:54:23Z","links":{"resolver":"https://pith.science/pith/OQ6SZXWHHE376SA257NJZF4S4V","bundle":"https://pith.science/pith/OQ6SZXWHHE376SA257NJZF4S4V/bundle.json","state":"https://pith.science/pith/OQ6SZXWHHE376SA257NJZF4S4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OQ6SZXWHHE376SA257NJZF4S4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OQ6SZXWHHE376SA257NJZF4S4V","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":"cf8dcbd3899b3b31ad6042b199610253dc8bc50ea0d1d34f74b900c50ce83974","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T22:02:02Z","title_canon_sha256":"2bcc12f95b1484af905e237b9891186d09443b7c1effcd414127245118242d3a"},"schema_version":"1.0","source":{"id":"2605.17668","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17668","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17668v1","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17668","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"OQ6SZXWHHE37","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"OQ6SZXWHHE376SA2","created_at":"2026-05-20T00:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"OQ6SZXWH","created_at":"2026-05-20T00:04:51Z"}],"graph_snapshots":[{"event_id":"sha256:5fd737b633ce6bca1a2546e03ae1083b97a4945d6ee4be9cdf7a6f598b89ce94","target":"graph","created_at":"2026-05-20T00:04:51Z","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":[{"findings_count":0,"name":"cited_work_retraction","ran_at":"2026-05-19T22:21:56.981286Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"citation_quote_validity","ran_at":"2026-05-19T21:49:44.265053Z","status":"skipped","version":"0.1.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.536468Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:21:57.451776Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.17668/integrity.json","findings":[],"snapshot_sha256":"4e4c8ec69ffea9cc90cb8fb6a7e43001a6cd253d746021c5f2538c70a7bb5dd4","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implementation of digital pathology leads to an increased number of whole slide images (WSIs). The large size of WSIs is challenging. Today, WSIs are compressed with codecs like JPEG resulting in several gigabytes per WSI, and large amounts of space are wasted storing glass. In this study, deep learning-based tissue segmentation for glass removal, and deep learning compression methods were explored and compared with JPEG, JPEG-2000 and JPEG-XL.\n  Image pyramids (N=21) with intact glass, glass replaced by single-colored pixels, and glass replaced by zero-byte tiles were created and compressed w","authors_text":"Erik Smistad, Etienne Gaucher, Ingerid Reinertsen, Maren H{\\o}ib{\\o}, Marit Valla","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T22:02:02Z","title":"Deep learning-based compression of giga-resolution whole slide images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17668","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:c24d48b39b4e572abba62c554678bb8c36486e478b5b74f8d57d2fc397b58a00","target":"record","created_at":"2026-05-20T00:04:51Z","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":"cf8dcbd3899b3b31ad6042b199610253dc8bc50ea0d1d34f74b900c50ce83974","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T22:02:02Z","title_canon_sha256":"2bcc12f95b1484af905e237b9891186d09443b7c1effcd414127245118242d3a"},"schema_version":"1.0","source":{"id":"2605.17668","kind":"arxiv","version":1}},"canonical_sha256":"743d2cdec73937ff481aefda9c9792e5765973e660f18cc1ee33ad9893d3640b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"743d2cdec73937ff481aefda9c9792e5765973e660f18cc1ee33ad9893d3640b","first_computed_at":"2026-05-20T00:04:51.802312Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:51.802312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KZUya1PWhe1cLN5qBrwKh2YqFbEuRxzvF4dfXO1PwyVB97agrMG1BWZcI1eRDNKNukJEm7mBhCUMLtqkkMoSAQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:51.803108Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17668","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c24d48b39b4e572abba62c554678bb8c36486e478b5b74f8d57d2fc397b58a00","sha256:5fd737b633ce6bca1a2546e03ae1083b97a4945d6ee4be9cdf7a6f598b89ce94"],"state_sha256":"252f6fc889c72ccd15ba7f4e203ca377f5809af7a056359d3f73db928cda6b36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zpXQc93OOF6S92uQZbRGH/le2iYgQMPCLlwKJyrixpY2gwIknYveYhg5ctmx5/C6V3iCK2KdLCdwFAPzDPrgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T03:54:23.808322Z","bundle_sha256":"5b17e3939fe3ae5c86a1503b1ef8ea43d89bfc548eb402b4b8ac2595bf621415"}}