{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:WPKBIQR7XYVRV6RFF3EJCSECP6","short_pith_number":"pith:WPKBIQR7","canonical_record":{"source":{"id":"2203.04107","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-07T14:34:42Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"title_canon_sha256":"8b6cb1839df53fb5df0ce2ada29d16b46c9b389e14d07eed836ac4b15a1a5962","abstract_canon_sha256":"eeab7027d7f83c9017412da0d5327f1001a8ccadca672f321b9d9199ba8b41b8"},"schema_version":"1.0"},"canonical_sha256":"b3d414423fbe2b1afa252ec89148827f843b3040ca302059cb0fd2b1c177adfe","source":{"kind":"arxiv","id":"2203.04107","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.04107","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2203.04107v1","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04107","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"WPKBIQR7XYVR","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"WPKBIQR7XYVRV6RF","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"WPKBIQR7","created_at":"2026-07-05T04:03:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:WPKBIQR7XYVRV6RFF3EJCSECP6","target":"record","payload":{"canonical_record":{"source":{"id":"2203.04107","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-07T14:34:42Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"title_canon_sha256":"8b6cb1839df53fb5df0ce2ada29d16b46c9b389e14d07eed836ac4b15a1a5962","abstract_canon_sha256":"eeab7027d7f83c9017412da0d5327f1001a8ccadca672f321b9d9199ba8b41b8"},"schema_version":"1.0"},"canonical_sha256":"b3d414423fbe2b1afa252ec89148827f843b3040ca302059cb0fd2b1c177adfe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:06.135269Z","signature_b64":"uX3pgpGI6iB1We3e5UVU74NuACW6kqS8LE1+ojslpGhPYgRd9V5rP2cWXMM/0RlissFVPO8hA6mpBhktxdq0Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3d414423fbe2b1afa252ec89148827f843b3040ca302059cb0fd2b1c177adfe","last_reissued_at":"2026-07-05T04:03:06.134921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:06.134921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.04107","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":"2026-07-05T04:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lAms6xXOhi0/k+1nXNnQ5ZJqdyee0XL2NXN2gKtenzUZ/sOhhyIHBqHIjoQWM92e/LCcy5p8+19YfUok12BABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T21:05:52.122262Z"},"content_sha256":"aafe52df1e866763b4b0cfaf53e3d2d44bff5c4d057c3929a16cfaa6134231a7","schema_version":"1.0","event_id":"sha256:aafe52df1e866763b4b0cfaf53e3d2d44bff5c4d057c3929a16cfaa6134231a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:WPKBIQR7XYVRV6RFF3EJCSECP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"primary_cat":"eess.IV","authors_text":"Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni","submitted_at":"2022-03-07T14:34:42Z","abstract_excerpt":"Recent advances in computer vision and robotics enabled automated large-scale biological image analysis. Various machine learning approaches have been successfully applied to phenotypic profiling. However, it remains unclear how they compare in terms of biological feature extraction. In this study, we propose a simple CNN architecture and implement 4 different representation learning approaches. We train 16 deep learning setups on the 770k cancer cell images dataset under identical conditions, using different augmenting and cropping strategies. We compare the learned representations by evaluat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04107","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/2203.04107/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":"2026-07-05T04:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k1yTyM/prG2FiIvfRksXc0IEBg54vk2/ZFBXx+kdcGY9oB3H5qiZjsh1+131BWGJDsdIBACSQgz9XezbXZASDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T21:05:52.122666Z"},"content_sha256":"fed55945e75a43569dc4dfbfcad0ab5fd7018aff1793758d336be23e4ff9e760","schema_version":"1.0","event_id":"sha256:fed55945e75a43569dc4dfbfcad0ab5fd7018aff1793758d336be23e4ff9e760"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/bundle.json","state_url":"https://pith.science/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/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":"2026-07-14T21:05:52Z","links":{"resolver":"https://pith.science/pith/WPKBIQR7XYVRV6RFF3EJCSECP6","bundle":"https://pith.science/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/bundle.json","state":"https://pith.science/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPKBIQR7XYVRV6RFF3EJCSECP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WPKBIQR7XYVRV6RFF3EJCSECP6","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":"eeab7027d7f83c9017412da0d5327f1001a8ccadca672f321b9d9199ba8b41b8","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-07T14:34:42Z","title_canon_sha256":"8b6cb1839df53fb5df0ce2ada29d16b46c9b389e14d07eed836ac4b15a1a5962"},"schema_version":"1.0","source":{"id":"2203.04107","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.04107","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2203.04107v1","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04107","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"WPKBIQR7XYVR","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"WPKBIQR7XYVRV6RF","created_at":"2026-07-05T04:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"WPKBIQR7","created_at":"2026-07-05T04:03:06Z"}],"graph_snapshots":[{"event_id":"sha256:fed55945e75a43569dc4dfbfcad0ab5fd7018aff1793758d336be23e4ff9e760","target":"graph","created_at":"2026-07-05T04:03:06Z","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/2203.04107/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in computer vision and robotics enabled automated large-scale biological image analysis. Various machine learning approaches have been successfully applied to phenotypic profiling. However, it remains unclear how they compare in terms of biological feature extraction. In this study, we propose a simple CNN architecture and implement 4 different representation learning approaches. We train 16 deep learning setups on the 770k cancer cell images dataset under identical conditions, using different augmenting and cropping strategies. We compare the learned representations by evaluat","authors_text":"Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni","cross_cats":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-07T14:34:42Z","title":"Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04107","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:aafe52df1e866763b4b0cfaf53e3d2d44bff5c4d057c3929a16cfaa6134231a7","target":"record","created_at":"2026-07-05T04:03:06Z","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":"eeab7027d7f83c9017412da0d5327f1001a8ccadca672f321b9d9199ba8b41b8","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-07T14:34:42Z","title_canon_sha256":"8b6cb1839df53fb5df0ce2ada29d16b46c9b389e14d07eed836ac4b15a1a5962"},"schema_version":"1.0","source":{"id":"2203.04107","kind":"arxiv","version":1}},"canonical_sha256":"b3d414423fbe2b1afa252ec89148827f843b3040ca302059cb0fd2b1c177adfe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3d414423fbe2b1afa252ec89148827f843b3040ca302059cb0fd2b1c177adfe","first_computed_at":"2026-07-05T04:03:06.134921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:03:06.134921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uX3pgpGI6iB1We3e5UVU74NuACW6kqS8LE1+ojslpGhPYgRd9V5rP2cWXMM/0RlissFVPO8hA6mpBhktxdq0Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:03:06.135269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.04107","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aafe52df1e866763b4b0cfaf53e3d2d44bff5c4d057c3929a16cfaa6134231a7","sha256:fed55945e75a43569dc4dfbfcad0ab5fd7018aff1793758d336be23e4ff9e760"],"state_sha256":"163a46c25cacffd251ba6759a651413aff391eb4e5c9b343b22962a139d77fb4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/IMEuxLS3Y2h4869mzEPzGYNXOjIEp8aZMsC0ukAl1wx72hRW0mnUy4I9geSuSw/XYi+7tzK9XZ1jfXa8vh9CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T21:05:52.126362Z","bundle_sha256":"f87cb8e40af84c389af98e0abb0fb66276b9f43446ed03f64030ca4b9a07e177"}}