{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OLBAC7HWZIYOQDO7DFZBS3MTWQ","short_pith_number":"pith:OLBAC7HW","canonical_record":{"source":{"id":"2406.05308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T00:53:30Z","cross_cats_sorted":[],"title_canon_sha256":"141b3d2e474a840c668c5ad9e24372dffd48bf3f356066035e5c7cb1f350921d","abstract_canon_sha256":"6f5378e85e3de7f37709d78710ca87b93ee57c15455ed675c57d8a195f40abd7"},"schema_version":"1.0"},"canonical_sha256":"72c2017cf6ca30e80ddf1972196d93b438472e25d7af990269c5c521ac7baa97","source":{"kind":"arxiv","id":"2406.05308","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05308","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05308v1","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05308","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_12","alias_value":"OLBAC7HWZIYO","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_16","alias_value":"OLBAC7HWZIYOQDO7","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_8","alias_value":"OLBAC7HW","created_at":"2026-07-05T08:29:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OLBAC7HWZIYOQDO7DFZBS3MTWQ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.05308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T00:53:30Z","cross_cats_sorted":[],"title_canon_sha256":"141b3d2e474a840c668c5ad9e24372dffd48bf3f356066035e5c7cb1f350921d","abstract_canon_sha256":"6f5378e85e3de7f37709d78710ca87b93ee57c15455ed675c57d8a195f40abd7"},"schema_version":"1.0"},"canonical_sha256":"72c2017cf6ca30e80ddf1972196d93b438472e25d7af990269c5c521ac7baa97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:29:03.761103Z","signature_b64":"mGgHUeSU/vy0QMQzo/aGy6fLo3yrN8ScSjUvuTrxS8VZJ/tdRx1NHANtuTldLmjT4LqeWL59CNtuUKXzCYniCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72c2017cf6ca30e80ddf1972196d93b438472e25d7af990269c5c521ac7baa97","last_reissued_at":"2026-07-05T08:29:03.760405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:29:03.760405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.05308","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":"2026-07-05T08:29:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gv10vrIQg6LZlBCWUYJq7++nhYqvLJ2YqR+TccRbTbxHQjc5Dx3jLRjtDkFV1o/GmnOPQyO99KHeMEfgDo75AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:00:55.940054Z"},"content_sha256":"c99b72c94f8eea13eb00bcf4a0d1b9446ed3432fa0746fdd4a1fa9168712fa7a","schema_version":"1.0","event_id":"sha256:c99b72c94f8eea13eb00bcf4a0d1b9446ed3432fa0746fdd4a1fa9168712fa7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OLBAC7HWZIYOQDO7DFZBS3MTWQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Burkhard Hoeckendorf, David Richmond, Heming Yao, Jan-Christian Huetter, Phil Hanslovsky","submitted_at":"2024-06-08T00:53:30Z","abstract_excerpt":"Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease. The characterization of high-content images remains an active area of research and is currently undergoing rapid innovation through the application of self-supervised learning and vision transformers. In this study, we propose a set-level consistency learning algorithm, Set-DINO, that combines self-supervised learning with weak supervision to improve learned representations of perturbation effects in single-cell images. Our method leverages the r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05308","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/2406.05308/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":"2026-07-05T08:29:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1FCaD++DHctN2QpR7FONDg/JhnV1+wqaEeRiIoFektdVIveNx1eiCrtvbvKGcfKA9N8C01IYCNqJx9SI3tCzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:00:55.940428Z"},"content_sha256":"0d7d09ee4b4e7af22ac01090a4fb40323ca9e94d278a4a3280b6966fa0f88587","schema_version":"1.0","event_id":"sha256:0d7d09ee4b4e7af22ac01090a4fb40323ca9e94d278a4a3280b6966fa0f88587"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/bundle.json","state_url":"https://pith.science/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/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":"2026-07-06T10:00:55Z","links":{"resolver":"https://pith.science/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ","bundle":"https://pith.science/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/bundle.json","state":"https://pith.science/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OLBAC7HWZIYOQDO7DFZBS3MTWQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OLBAC7HWZIYOQDO7DFZBS3MTWQ","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":"6f5378e85e3de7f37709d78710ca87b93ee57c15455ed675c57d8a195f40abd7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T00:53:30Z","title_canon_sha256":"141b3d2e474a840c668c5ad9e24372dffd48bf3f356066035e5c7cb1f350921d"},"schema_version":"1.0","source":{"id":"2406.05308","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05308","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05308v1","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05308","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_12","alias_value":"OLBAC7HWZIYO","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_16","alias_value":"OLBAC7HWZIYOQDO7","created_at":"2026-07-05T08:29:03Z"},{"alias_kind":"pith_short_8","alias_value":"OLBAC7HW","created_at":"2026-07-05T08:29:03Z"}],"graph_snapshots":[{"event_id":"sha256:0d7d09ee4b4e7af22ac01090a4fb40323ca9e94d278a4a3280b6966fa0f88587","target":"graph","created_at":"2026-07-05T08:29:03Z","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/2406.05308/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease. The characterization of high-content images remains an active area of research and is currently undergoing rapid innovation through the application of self-supervised learning and vision transformers. In this study, we propose a set-level consistency learning algorithm, Set-DINO, that combines self-supervised learning with weak supervision to improve learned representations of perturbation effects in single-cell images. Our method leverages the r","authors_text":"Burkhard Hoeckendorf, David Richmond, Heming Yao, Jan-Christian Huetter, Phil Hanslovsky","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T00:53:30Z","title":"Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05308","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:c99b72c94f8eea13eb00bcf4a0d1b9446ed3432fa0746fdd4a1fa9168712fa7a","target":"record","created_at":"2026-07-05T08:29:03Z","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":"6f5378e85e3de7f37709d78710ca87b93ee57c15455ed675c57d8a195f40abd7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T00:53:30Z","title_canon_sha256":"141b3d2e474a840c668c5ad9e24372dffd48bf3f356066035e5c7cb1f350921d"},"schema_version":"1.0","source":{"id":"2406.05308","kind":"arxiv","version":1}},"canonical_sha256":"72c2017cf6ca30e80ddf1972196d93b438472e25d7af990269c5c521ac7baa97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72c2017cf6ca30e80ddf1972196d93b438472e25d7af990269c5c521ac7baa97","first_computed_at":"2026-07-05T08:29:03.760405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:29:03.760405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mGgHUeSU/vy0QMQzo/aGy6fLo3yrN8ScSjUvuTrxS8VZJ/tdRx1NHANtuTldLmjT4LqeWL59CNtuUKXzCYniCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:29:03.761103Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.05308","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c99b72c94f8eea13eb00bcf4a0d1b9446ed3432fa0746fdd4a1fa9168712fa7a","sha256:0d7d09ee4b4e7af22ac01090a4fb40323ca9e94d278a4a3280b6966fa0f88587"],"state_sha256":"34061c20526c014c5e1b5a0522504b162bfa6a73ca7a189dcd49d41b91f92c13"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GJWed80QyWvdlkP86y12bzSItdr/MGoHbT++MN39/TYBlHXrxXIxe7yRZSksFFnuqMsXIPNAqMTxCf6tyWK+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T10:00:55.942357Z","bundle_sha256":"89760034df13916206669d55da80d44f1f53f874c0255c0055e21e73d6de424b"}}