{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:JYEKVGA7KIRIVU5FQ22YNHLSLJ","short_pith_number":"pith:JYEKVGA7","canonical_record":{"source":{"id":"2004.01607","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:51:43Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5da2a3f3c23eb957bd5a3cd2ea1ee685c2441ec4d8ede41ee003fe338a8aff5f","abstract_canon_sha256":"88cf9175ed79568d8ec4e8907a062a0a6049d1c3410da4be34bbf1b4c52cd22b"},"schema_version":"1.0"},"canonical_sha256":"4e08aa981f52228ad3a586b5869d725a7678844f099dc3589aab047c9352516f","source":{"kind":"arxiv","id":"2004.01607","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.01607","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"arxiv_version","alias_value":"2004.01607v1","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.01607","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_12","alias_value":"JYEKVGA7KIRI","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_16","alias_value":"JYEKVGA7KIRIVU5F","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_8","alias_value":"JYEKVGA7","created_at":"2026-07-05T00:52:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:JYEKVGA7KIRIVU5FQ22YNHLSLJ","target":"record","payload":{"canonical_record":{"source":{"id":"2004.01607","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:51:43Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5da2a3f3c23eb957bd5a3cd2ea1ee685c2441ec4d8ede41ee003fe338a8aff5f","abstract_canon_sha256":"88cf9175ed79568d8ec4e8907a062a0a6049d1c3410da4be34bbf1b4c52cd22b"},"schema_version":"1.0"},"canonical_sha256":"4e08aa981f52228ad3a586b5869d725a7678844f099dc3589aab047c9352516f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:52:34.448172Z","signature_b64":"2ZV71vTHqVb3qce8/7PalKd3Q1LxjqRzXzM/vqxGhHLV/9iejuu5W2qo/o2JazLwRWyLzxChdLOSLD8WbW7gBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e08aa981f52228ad3a586b5869d725a7678844f099dc3589aab047c9352516f","last_reissued_at":"2026-07-05T00:52:34.447600Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:52:34.447600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.01607","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":"2026-07-05T00:52:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vxw9vtb8Xq5JOEEIYi5H/wphzPajs6/bNvEFmk7AUBsCewZ4IbJc30QjfN03WcGTxxh9u6dL1C3M7FRDmXxIDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:21:38.278490Z"},"content_sha256":"9ea898d84c089dccfb1372581fa0da710577fadab3bc458ffb5313677f07a692","schema_version":"1.0","event_id":"sha256:9ea898d84c089dccfb1372581fa0da710577fadab3bc458ffb5313677f07a692"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:JYEKVGA7KIRIVU5FQ22YNHLSLJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Filip Lux, Petr Matula","submitted_at":"2020-04-03T14:51:43Z","abstract_excerpt":"We propose a cell segmentation method for analyzing images of densely clustered cells. The method combines the strengths of marker-controlled watershed transformation and a convolutional neural network (CNN). We demonstrate the method universality and high performance on three Cell Tracking Challenge (CTC) datasets of clustered cells captured by different acquisition techniques. For all tested datasets, our method reached the top performance in both cell detection and segmentation. Based on a series of experiments, we observed: (1) Predicting both watershed marker function and segmentation fun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.01607","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/2004.01607/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":"2026-07-05T00:52:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p8I141Van4wx0rRCt3ePgp9ko7OiZh+Ndt4SLJAklAaMD0CLev4RAzFwDEpwM3If6SWwFm1O0hd8nCL2A9KkDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:21:38.278860Z"},"content_sha256":"472830bd15b040544671b6d919072a0b3f67d1e68be4b5c6a5562faf362e326a","schema_version":"1.0","event_id":"sha256:472830bd15b040544671b6d919072a0b3f67d1e68be4b5c6a5562faf362e326a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/bundle.json","state_url":"https://pith.science/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/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":"2026-07-07T08:21:38Z","links":{"resolver":"https://pith.science/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ","bundle":"https://pith.science/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/bundle.json","state":"https://pith.science/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JYEKVGA7KIRIVU5FQ22YNHLSLJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JYEKVGA7KIRIVU5FQ22YNHLSLJ","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":"88cf9175ed79568d8ec4e8907a062a0a6049d1c3410da4be34bbf1b4c52cd22b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:51:43Z","title_canon_sha256":"5da2a3f3c23eb957bd5a3cd2ea1ee685c2441ec4d8ede41ee003fe338a8aff5f"},"schema_version":"1.0","source":{"id":"2004.01607","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.01607","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"arxiv_version","alias_value":"2004.01607v1","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.01607","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_12","alias_value":"JYEKVGA7KIRI","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_16","alias_value":"JYEKVGA7KIRIVU5F","created_at":"2026-07-05T00:52:34Z"},{"alias_kind":"pith_short_8","alias_value":"JYEKVGA7","created_at":"2026-07-05T00:52:34Z"}],"graph_snapshots":[{"event_id":"sha256:472830bd15b040544671b6d919072a0b3f67d1e68be4b5c6a5562faf362e326a","target":"graph","created_at":"2026-07-05T00:52:34Z","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/2004.01607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a cell segmentation method for analyzing images of densely clustered cells. The method combines the strengths of marker-controlled watershed transformation and a convolutional neural network (CNN). We demonstrate the method universality and high performance on three Cell Tracking Challenge (CTC) datasets of clustered cells captured by different acquisition techniques. For all tested datasets, our method reached the top performance in both cell detection and segmentation. Based on a series of experiments, we observed: (1) Predicting both watershed marker function and segmentation fun","authors_text":"Filip Lux, Petr Matula","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:51:43Z","title":"Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.01607","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":"sha256:9ea898d84c089dccfb1372581fa0da710577fadab3bc458ffb5313677f07a692","target":"record","created_at":"2026-07-05T00:52:34Z","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":"88cf9175ed79568d8ec4e8907a062a0a6049d1c3410da4be34bbf1b4c52cd22b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2020-04-03T14:51:43Z","title_canon_sha256":"5da2a3f3c23eb957bd5a3cd2ea1ee685c2441ec4d8ede41ee003fe338a8aff5f"},"schema_version":"1.0","source":{"id":"2004.01607","kind":"arxiv","version":1}},"canonical_sha256":"4e08aa981f52228ad3a586b5869d725a7678844f099dc3589aab047c9352516f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e08aa981f52228ad3a586b5869d725a7678844f099dc3589aab047c9352516f","first_computed_at":"2026-07-05T00:52:34.447600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:52:34.447600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2ZV71vTHqVb3qce8/7PalKd3Q1LxjqRzXzM/vqxGhHLV/9iejuu5W2qo/o2JazLwRWyLzxChdLOSLD8WbW7gBA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:52:34.448172Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.01607","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ea898d84c089dccfb1372581fa0da710577fadab3bc458ffb5313677f07a692","sha256:472830bd15b040544671b6d919072a0b3f67d1e68be4b5c6a5562faf362e326a"],"state_sha256":"37fb2a349253c508baff82fdde798f78887116d3f8460962341100824ecb0cd8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"In5Vn70I9eeu37wj+yOCqbK806WItmKmdoaAbf0lQWs0axmn0cMZv7XRYf1jAgrDJ7Jn6QNp6Up0W3DMZzk7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:21:38.280787Z","bundle_sha256":"7af5a082eed54dda730c2620c75007558643fa4a0e4c40907cc7c7bf700a087b"}}