{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2IFIXY4FCICKPLCKFYL4RNOQLT","short_pith_number":"pith:2IFIXY4F","canonical_record":{"source":{"id":"2406.12623","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T13:47:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"cb2704d7aa5b47854eefa605d3f034f279a4587e8193a5f033e95d36d80f47a1","abstract_canon_sha256":"e40f7623367249a16bb748f34c25777db77c9ae5da8473a08ef5f6981b658655"},"schema_version":"1.0"},"canonical_sha256":"d20a8be3851204a7ac4a2e17c8b5d05cec8c7ac02e2a7e6bcdeb2e9ad5307a1c","source":{"kind":"arxiv","id":"2406.12623","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12623","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12623v1","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12623","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_12","alias_value":"2IFIXY4FCICK","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_16","alias_value":"2IFIXY4FCICKPLCK","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_8","alias_value":"2IFIXY4F","created_at":"2026-07-05T08:33:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2IFIXY4FCICKPLCKFYL4RNOQLT","target":"record","payload":{"canonical_record":{"source":{"id":"2406.12623","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T13:47:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"cb2704d7aa5b47854eefa605d3f034f279a4587e8193a5f033e95d36d80f47a1","abstract_canon_sha256":"e40f7623367249a16bb748f34c25777db77c9ae5da8473a08ef5f6981b658655"},"schema_version":"1.0"},"canonical_sha256":"d20a8be3851204a7ac4a2e17c8b5d05cec8c7ac02e2a7e6bcdeb2e9ad5307a1c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:48.686656Z","signature_b64":"lIa6CwOLEgm8EUwfXB1p1uJAfBrKxbkOy3PhREhdHkI2txj2LWKcnQyzTcrYx/HkkUYqibmOeTCWYWPalYYfCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d20a8be3851204a7ac4a2e17c8b5d05cec8c7ac02e2a7e6bcdeb2e9ad5307a1c","last_reissued_at":"2026-07-05T08:33:48.686194Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:48.686194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.12623","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":"2026-07-05T08:33:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nRGbiIsbR8iGvxwguYEy4GjKdGeMGcKpwSJHj4+7iKwtJuF2lhUbizIJ+N+qIRjElvpGc7v/SZTKqqHnaCMGBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:35:05.919938Z"},"content_sha256":"10afe1712ab66bfd4be91c3a42a87c4fdd3e3d6a2c108413f7768c0c763b7a9a","schema_version":"1.0","event_id":"sha256:10afe1712ab66bfd4be91c3a42a87c4fdd3e3d6a2c108413f7768c0c763b7a9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2IFIXY4FCICKPLCKFYL4RNOQLT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Alexander Muckenhuber, Jens Kleesiek, Klaus Maier-Hein, Marco Nolden, Maximilian Fischer, Michael G\\\"otz, Peter Neher, Peter Sch\\\"uffler, Rickmer Braren, Shuhan Xiao, Silvia Dias Almeida, Tassilo Wald","submitted_at":"2024-06-18T13:47:17Z","abstract_excerpt":"Processing histopathological Whole Slide Images (WSI) leads to massive storage requirements for clinics worldwide. Even after lossy image compression during image acquisition, additional lossy compression is frequently possible without substantially affecting the performance of deep learning-based (DL) downstream tasks. In this paper, we show that the commonly used JPEG algorithm is not best suited for further compression and we propose Stain Quantized Latent Compression (SQLC ), a novel DL based histopathology data compression approach. SQLC compresses staining and RGB channels before passing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12623","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/2406.12623/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":"2026-07-05T08:33:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7uINmI0zViSEP71LTLeKxU7FzBaO/VFj1vbiyPvNd2z8TbQVYRhPWrW3+qv0vNWsTTvsYtPl9VOrL517RpzdBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:35:05.920302Z"},"content_sha256":"100132ce7a2738d82c6e1414e20624fd6053523e430b1bc4703cacecefb3b035","schema_version":"1.0","event_id":"sha256:100132ce7a2738d82c6e1414e20624fd6053523e430b1bc4703cacecefb3b035"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/bundle.json","state_url":"https://pith.science/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/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":"2026-07-06T19:35:05Z","links":{"resolver":"https://pith.science/pith/2IFIXY4FCICKPLCKFYL4RNOQLT","bundle":"https://pith.science/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/bundle.json","state":"https://pith.science/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2IFIXY4FCICKPLCKFYL4RNOQLT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2IFIXY4FCICKPLCKFYL4RNOQLT","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":"e40f7623367249a16bb748f34c25777db77c9ae5da8473a08ef5f6981b658655","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T13:47:17Z","title_canon_sha256":"cb2704d7aa5b47854eefa605d3f034f279a4587e8193a5f033e95d36d80f47a1"},"schema_version":"1.0","source":{"id":"2406.12623","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12623","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12623v1","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12623","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_12","alias_value":"2IFIXY4FCICK","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_16","alias_value":"2IFIXY4FCICKPLCK","created_at":"2026-07-05T08:33:48Z"},{"alias_kind":"pith_short_8","alias_value":"2IFIXY4F","created_at":"2026-07-05T08:33:48Z"}],"graph_snapshots":[{"event_id":"sha256:100132ce7a2738d82c6e1414e20624fd6053523e430b1bc4703cacecefb3b035","target":"graph","created_at":"2026-07-05T08:33:48Z","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/2406.12623/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Processing histopathological Whole Slide Images (WSI) leads to massive storage requirements for clinics worldwide. Even after lossy image compression during image acquisition, additional lossy compression is frequently possible without substantially affecting the performance of deep learning-based (DL) downstream tasks. In this paper, we show that the commonly used JPEG algorithm is not best suited for further compression and we propose Stain Quantized Latent Compression (SQLC ), a novel DL based histopathology data compression approach. SQLC compresses staining and RGB channels before passing","authors_text":"Alexander Muckenhuber, Jens Kleesiek, Klaus Maier-Hein, Marco Nolden, Maximilian Fischer, Michael G\\\"otz, Peter Neher, Peter Sch\\\"uffler, Rickmer Braren, Shuhan Xiao, Silvia Dias Almeida, Tassilo Wald","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T13:47:17Z","title":"Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12623","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":"sha256:10afe1712ab66bfd4be91c3a42a87c4fdd3e3d6a2c108413f7768c0c763b7a9a","target":"record","created_at":"2026-07-05T08:33:48Z","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":"e40f7623367249a16bb748f34c25777db77c9ae5da8473a08ef5f6981b658655","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T13:47:17Z","title_canon_sha256":"cb2704d7aa5b47854eefa605d3f034f279a4587e8193a5f033e95d36d80f47a1"},"schema_version":"1.0","source":{"id":"2406.12623","kind":"arxiv","version":1}},"canonical_sha256":"d20a8be3851204a7ac4a2e17c8b5d05cec8c7ac02e2a7e6bcdeb2e9ad5307a1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d20a8be3851204a7ac4a2e17c8b5d05cec8c7ac02e2a7e6bcdeb2e9ad5307a1c","first_computed_at":"2026-07-05T08:33:48.686194Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:48.686194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lIa6CwOLEgm8EUwfXB1p1uJAfBrKxbkOy3PhREhdHkI2txj2LWKcnQyzTcrYx/HkkUYqibmOeTCWYWPalYYfCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:48.686656Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12623","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10afe1712ab66bfd4be91c3a42a87c4fdd3e3d6a2c108413f7768c0c763b7a9a","sha256:100132ce7a2738d82c6e1414e20624fd6053523e430b1bc4703cacecefb3b035"],"state_sha256":"4eb629f40dcbb6acaf7133eff29c5fa70a989e039bc9621c9a9b7901955f4b94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8tBe5mwsU7/ypovMzs8bDpDIh3ERDCBBPy/6dMnCCpLrlluyql08aLNtr2iEdv2mrzR42onQvJiEoz7NdBqLAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:35:05.922260Z","bundle_sha256":"66ee8c109edb711043ebfcd4b09c882f4824230123fe042941f9250d2bece424"}}