{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NNZIEPJ5NDDVLXP7FFAN7SVGWO","short_pith_number":"pith:NNZIEPJ5","canonical_record":{"source":{"id":"2404.07705","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-11T12:49:56Z","cross_cats_sorted":[],"title_canon_sha256":"48006562b0c349fed447166ddadd3f09f8460d1875fbb9c7386dd29576ba377c","abstract_canon_sha256":"690348e0d5f07b82c28b0d510727485542be0ad2bbd0df09eb7be55bea1d2e51"},"schema_version":"1.0"},"canonical_sha256":"6b72823d3d68c755ddff2940dfcaa6b395793f0e6891b0cfadb49c192bd4cf3d","source":{"kind":"arxiv","id":"2404.07705","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.07705","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"2404.07705v2","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.07705","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"NNZIEPJ5NDDV","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_16","alias_value":"NNZIEPJ5NDDVLXP7","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_8","alias_value":"NNZIEPJ5","created_at":"2026-07-05T08:19:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NNZIEPJ5NDDVLXP7FFAN7SVGWO","target":"record","payload":{"canonical_record":{"source":{"id":"2404.07705","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-11T12:49:56Z","cross_cats_sorted":[],"title_canon_sha256":"48006562b0c349fed447166ddadd3f09f8460d1875fbb9c7386dd29576ba377c","abstract_canon_sha256":"690348e0d5f07b82c28b0d510727485542be0ad2bbd0df09eb7be55bea1d2e51"},"schema_version":"1.0"},"canonical_sha256":"6b72823d3d68c755ddff2940dfcaa6b395793f0e6891b0cfadb49c192bd4cf3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:19:08.849089Z","signature_b64":"Gnq/iOGHs6iOnOHb72LvewR4JC7onXHDDmDVm83XIF9uwPQqmrTtV7fjy1fRhskbfhYE0DgGUhoz5pxg+Q4CDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b72823d3d68c755ddff2940dfcaa6b395793f0e6891b0cfadb49c192bd4cf3d","last_reissued_at":"2026-07-05T08:19:08.848612Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:19:08.848612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.07705","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"okmWoTzy0EHZSPrQBgqc/s/XMCLKwQk9U4wU4Dlet5Zus4u3hN00NrsQqa+JvsNOmPhXgGgVaiTjk2lRB2YqAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T05:24:06.182433Z"},"content_sha256":"30e75bde0da1fbbbf66d58ea0ca002f4027929ebe84698f0f5bddbe12187974d","schema_version":"1.0","event_id":"sha256:30e75bde0da1fbbbf66d58ea0ca002f4027929ebe84698f0f5bddbe12187974d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NNZIEPJ5NDDVLXP7FFAN7SVGWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ViM-UNet: Vision Mamba for Biomedical Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anwai Archit, Constantin Pape","submitted_at":"2024-04-11T12:49:56Z","abstract_excerpt":"CNNs, most notably the UNet, are the default architecture for biomedical segmentation. Transformer-based approaches, such as UNETR, have been proposed to replace them, benefiting from a global field of view, but suffering from larger runtimes and higher parameter counts. The recent Vision Mamba architecture offers a compelling alternative to transformers, also providing a global field of view, but at higher efficiency. Here, we introduce ViM-UNet, a novel segmentation architecture based on it and compare it to UNet and UNETR for two challenging microscopy instance segmentation tasks. We find t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.07705","kind":"arxiv","version":2},"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/2404.07705/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":"2026-07-05T08:19:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xf2I8z+eggXz4MGcBAV4iZiWIdLrjo/7Lok1sv6q+C1b4+0JfVCoqhiDPBAHzq8SNcsyGss+aWKvwyJLg9JrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T05:24:06.182938Z"},"content_sha256":"385061e6902091fa9c0a92f7a7c22b34302baa96b676d1475e293bd662fb5d01","schema_version":"1.0","event_id":"sha256:385061e6902091fa9c0a92f7a7c22b34302baa96b676d1475e293bd662fb5d01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/bundle.json","state_url":"https://pith.science/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/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":"2026-08-16T05:24:06Z","links":{"resolver":"https://pith.science/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO","bundle":"https://pith.science/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/bundle.json","state":"https://pith.science/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NNZIEPJ5NDDVLXP7FFAN7SVGWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NNZIEPJ5NDDVLXP7FFAN7SVGWO","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":"690348e0d5f07b82c28b0d510727485542be0ad2bbd0df09eb7be55bea1d2e51","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-11T12:49:56Z","title_canon_sha256":"48006562b0c349fed447166ddadd3f09f8460d1875fbb9c7386dd29576ba377c"},"schema_version":"1.0","source":{"id":"2404.07705","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.07705","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"2404.07705v2","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.07705","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"NNZIEPJ5NDDV","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_16","alias_value":"NNZIEPJ5NDDVLXP7","created_at":"2026-07-05T08:19:08Z"},{"alias_kind":"pith_short_8","alias_value":"NNZIEPJ5","created_at":"2026-07-05T08:19:08Z"}],"graph_snapshots":[{"event_id":"sha256:385061e6902091fa9c0a92f7a7c22b34302baa96b676d1475e293bd662fb5d01","target":"graph","created_at":"2026-07-05T08:19:08Z","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/2404.07705/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"CNNs, most notably the UNet, are the default architecture for biomedical segmentation. Transformer-based approaches, such as UNETR, have been proposed to replace them, benefiting from a global field of view, but suffering from larger runtimes and higher parameter counts. The recent Vision Mamba architecture offers a compelling alternative to transformers, also providing a global field of view, but at higher efficiency. Here, we introduce ViM-UNet, a novel segmentation architecture based on it and compare it to UNet and UNETR for two challenging microscopy instance segmentation tasks. We find t","authors_text":"Anwai Archit, Constantin Pape","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-11T12:49:56Z","title":"ViM-UNet: Vision Mamba for Biomedical Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.07705","kind":"arxiv","version":2},"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":"sha256:30e75bde0da1fbbbf66d58ea0ca002f4027929ebe84698f0f5bddbe12187974d","target":"record","created_at":"2026-07-05T08:19:08Z","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":"690348e0d5f07b82c28b0d510727485542be0ad2bbd0df09eb7be55bea1d2e51","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-11T12:49:56Z","title_canon_sha256":"48006562b0c349fed447166ddadd3f09f8460d1875fbb9c7386dd29576ba377c"},"schema_version":"1.0","source":{"id":"2404.07705","kind":"arxiv","version":2}},"canonical_sha256":"6b72823d3d68c755ddff2940dfcaa6b395793f0e6891b0cfadb49c192bd4cf3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b72823d3d68c755ddff2940dfcaa6b395793f0e6891b0cfadb49c192bd4cf3d","first_computed_at":"2026-07-05T08:19:08.848612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:19:08.848612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gnq/iOGHs6iOnOHb72LvewR4JC7onXHDDmDVm83XIF9uwPQqmrTtV7fjy1fRhskbfhYE0DgGUhoz5pxg+Q4CDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:19:08.849089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.07705","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30e75bde0da1fbbbf66d58ea0ca002f4027929ebe84698f0f5bddbe12187974d","sha256:385061e6902091fa9c0a92f7a7c22b34302baa96b676d1475e293bd662fb5d01"],"state_sha256":"c5a84c626a4de5ce74ad0f3de5277041c6e5bb2148f68e6b79dbef83c829a938"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rTeNvZcVmRO9UT7COjksQwlIglPrY8RgAFIPQrcjTdYvWShYaqX0aSgdDkZe1N9yXI4be4Uux4T9ghUJy+ZYDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T05:24:06.187624Z","bundle_sha256":"3d55957544ff4f34596853c5ae319dfdf89e24802684b700eb13d5764264334a"}}