{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7IUXPJ2DV5ZG7MVWVFM5YRDNSN","short_pith_number":"pith:7IUXPJ2D","canonical_record":{"source":{"id":"2506.18335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-23T06:32:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fc120bf6daec98b8e6b78247c0796c240fa49d038c31cea8f5e7e2e41eb9bedf","abstract_canon_sha256":"6b9d9da030b62309c9f4bfc2c912075277e513cce1528a32344c29ba8b3705fc"},"schema_version":"1.0"},"canonical_sha256":"fa2977a743af726fb2b6a959dc446d935dd59dce09f5d378e182e4b0ff6033c4","source":{"kind":"arxiv","id":"2506.18335","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18335","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18335v1","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18335","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_12","alias_value":"7IUXPJ2DV5ZG","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_16","alias_value":"7IUXPJ2DV5ZG7MVW","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_8","alias_value":"7IUXPJ2D","created_at":"2026-07-05T11:26:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7IUXPJ2DV5ZG7MVWVFM5YRDNSN","target":"record","payload":{"canonical_record":{"source":{"id":"2506.18335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-23T06:32:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fc120bf6daec98b8e6b78247c0796c240fa49d038c31cea8f5e7e2e41eb9bedf","abstract_canon_sha256":"6b9d9da030b62309c9f4bfc2c912075277e513cce1528a32344c29ba8b3705fc"},"schema_version":"1.0"},"canonical_sha256":"fa2977a743af726fb2b6a959dc446d935dd59dce09f5d378e182e4b0ff6033c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:33.217749Z","signature_b64":"oa9LYrsB4X/fusHQVuV6KaGIjvzFVMJ/MPue+M/ULZCyYX43S1rYhJ/2N01nAukVCE/Lm4USDzARShzze1wUAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa2977a743af726fb2b6a959dc446d935dd59dce09f5d378e182e4b0ff6033c4","last_reissued_at":"2026-07-05T11:26:33.216876Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:33.216876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.18335","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":"2026-07-05T11:26:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NvVjscRegCRCvcajP+UYWPfZZBfhJw63Q4wJP0+sio9f97qYR4vtaUqhEdCme8+cg6gQiTr88ZMCNP3Ar86jDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:22:48.470830Z"},"content_sha256":"7d1253040df7de5942ae5c5cdb5d77519a2c2ca624e0a537ce99f9471769cc2e","schema_version":"1.0","event_id":"sha256:7d1253040df7de5942ae5c5cdb5d77519a2c2ca624e0a537ce99f9471769cc2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7IUXPJ2DV5ZG7MVWVFM5YRDNSN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Daeyoung Kim, Saad Wazir","submitted_at":"2025-06-23T06:32:36Z","abstract_excerpt":"Segmenting biomarkers in medical images is crucial for various biotech applications. Despite advances, Transformer and CNN based methods often struggle with variations in staining and morphology, limiting feature extraction. In medical image segmentation, where datasets often have limited sample availability, recent state-of-the-art (SOTA) methods achieve higher accuracy by leveraging pre-trained encoders, whereas end-to-end methods tend to underperform. This is due to challenges in effectively transferring rich multiscale features from encoders to decoders, as well as limitations in decoder e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18335","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/2506.18335/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":"2026-07-05T11:26:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oeCZxzj7PT+GwWgQcBoK1ZZYw0Z0CZGMHtpbuS+tKycb3lDPwDocVsrBH6kFhK26EFD//tnT/KlN4OhQZ4HaAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:22:48.472050Z"},"content_sha256":"6eb6da5806a6ba13c6a33b534f2dc04c265cd8a9205f0ef0cc2ca4545c30128c","schema_version":"1.0","event_id":"sha256:6eb6da5806a6ba13c6a33b534f2dc04c265cd8a9205f0ef0cc2ca4545c30128c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/bundle.json","state_url":"https://pith.science/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/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":"2026-08-21T12:22:48Z","links":{"resolver":"https://pith.science/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN","bundle":"https://pith.science/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/bundle.json","state":"https://pith.science/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7IUXPJ2DV5ZG7MVWVFM5YRDNSN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7IUXPJ2DV5ZG7MVWVFM5YRDNSN","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":"6b9d9da030b62309c9f4bfc2c912075277e513cce1528a32344c29ba8b3705fc","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-23T06:32:36Z","title_canon_sha256":"fc120bf6daec98b8e6b78247c0796c240fa49d038c31cea8f5e7e2e41eb9bedf"},"schema_version":"1.0","source":{"id":"2506.18335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18335","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18335v1","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18335","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_12","alias_value":"7IUXPJ2DV5ZG","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_16","alias_value":"7IUXPJ2DV5ZG7MVW","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_8","alias_value":"7IUXPJ2D","created_at":"2026-07-05T11:26:33Z"}],"graph_snapshots":[{"event_id":"sha256:6eb6da5806a6ba13c6a33b534f2dc04c265cd8a9205f0ef0cc2ca4545c30128c","target":"graph","created_at":"2026-07-05T11:26:33Z","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/2506.18335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmenting biomarkers in medical images is crucial for various biotech applications. Despite advances, Transformer and CNN based methods often struggle with variations in staining and morphology, limiting feature extraction. In medical image segmentation, where datasets often have limited sample availability, recent state-of-the-art (SOTA) methods achieve higher accuracy by leveraging pre-trained encoders, whereas end-to-end methods tend to underperform. This is due to challenges in effectively transferring rich multiscale features from encoders to decoders, as well as limitations in decoder e","authors_text":"Daeyoung Kim, Saad Wazir","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-23T06:32:36Z","title":"Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18335","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":"sha256:7d1253040df7de5942ae5c5cdb5d77519a2c2ca624e0a537ce99f9471769cc2e","target":"record","created_at":"2026-07-05T11:26:33Z","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":"6b9d9da030b62309c9f4bfc2c912075277e513cce1528a32344c29ba8b3705fc","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-23T06:32:36Z","title_canon_sha256":"fc120bf6daec98b8e6b78247c0796c240fa49d038c31cea8f5e7e2e41eb9bedf"},"schema_version":"1.0","source":{"id":"2506.18335","kind":"arxiv","version":1}},"canonical_sha256":"fa2977a743af726fb2b6a959dc446d935dd59dce09f5d378e182e4b0ff6033c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa2977a743af726fb2b6a959dc446d935dd59dce09f5d378e182e4b0ff6033c4","first_computed_at":"2026-07-05T11:26:33.216876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:33.216876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oa9LYrsB4X/fusHQVuV6KaGIjvzFVMJ/MPue+M/ULZCyYX43S1rYhJ/2N01nAukVCE/Lm4USDzARShzze1wUAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:33.217749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.18335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d1253040df7de5942ae5c5cdb5d77519a2c2ca624e0a537ce99f9471769cc2e","sha256:6eb6da5806a6ba13c6a33b534f2dc04c265cd8a9205f0ef0cc2ca4545c30128c"],"state_sha256":"8d843aad08e70efc0fd671c8e4d1dca37c5495a937e199566331bf54bdf83134"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BalTrZROJ0lyDi7UvTxUZpozm1AUUy5TvnhmiJWfyDk7a1Q6UWiBMREIf20iTkRDIPhm4o5by9wMNcFWDPdPBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T12:22:48.478627Z","bundle_sha256":"6b3fd087cf5425abbf32a12f5604186911a310072a240fe012fb3bfec2459241"}}