{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EBALKRXORCYAED26DVK7D7356P","short_pith_number":"pith:EBALKRXO","canonical_record":{"source":{"id":"2209.14097","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-09-28T13:46:24Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"7f77491aebfe3d4f680d286a7106d5145b87075863f8783d1265e4d6b14c9ecf","abstract_canon_sha256":"fe09b86cfe56103068f4562e935e15be6ddda121720d773dc1d9a8714e239472"},"schema_version":"1.0"},"canonical_sha256":"2040b546ee88b0020f5e1d55f1ff7df3e6cd67908744eca6c7328585e8976310","source":{"kind":"arxiv","id":"2209.14097","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14097","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14097v1","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14097","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"EBALKRXORCYA","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"EBALKRXORCYAED26","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"EBALKRXO","created_at":"2026-07-05T05:01:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EBALKRXORCYAED26DVK7D7356P","target":"record","payload":{"canonical_record":{"source":{"id":"2209.14097","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-09-28T13:46:24Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"7f77491aebfe3d4f680d286a7106d5145b87075863f8783d1265e4d6b14c9ecf","abstract_canon_sha256":"fe09b86cfe56103068f4562e935e15be6ddda121720d773dc1d9a8714e239472"},"schema_version":"1.0"},"canonical_sha256":"2040b546ee88b0020f5e1d55f1ff7df3e6cd67908744eca6c7328585e8976310","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:01:47.888182Z","signature_b64":"iAUbyGigeL7PzIC9xDZ716XfSWpKFIGQhtM+EYwDyCK1iUf3EUshPka6y4tdOlYM7W0z3SmjukxNVj3GmZjXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2040b546ee88b0020f5e1d55f1ff7df3e6cd67908744eca6c7328585e8976310","last_reissued_at":"2026-07-05T05:01:47.887734Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:01:47.887734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.14097","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":"2026-07-05T05:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zJ9nk1WT97ystbiaudATcUNd2AQ+HFarsA5cDNQbfxf+NFI5zZUl3TrFepIHcy/k4458+Hv5M4rkslTm19DHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:03:42.197183Z"},"content_sha256":"04e86a34724a36958fdb9d3680b3c8be0d3d54facab639dc79a3448d87b06098","schema_version":"1.0","event_id":"sha256:04e86a34724a36958fdb9d3680b3c8be0d3d54facab639dc79a3448d87b06098"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EBALKRXORCYAED26DVK7D7356P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Augmentation using Feature Generation for Volumetric Medical Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Hassan Soliman, Khushboo Mehra, Soumya Ranjan Sahoo","submitted_at":"2022-09-28T13:46:24Z","abstract_excerpt":"Medical image classification is one of the most critical problems in the image recognition area. One of the major challenges in this field is the scarcity of labelled training data. Additionally, there is often class imbalance in datasets as some cases are very rare to happen. As a result, accuracy in classification task is normally low. Deep Learning models, in particular, show promising results on image segmentation and classification problems, but they require very large datasets for training. Therefore, there is a need to generate more of synthetic samples from the same distribution. Previ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14097","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/2209.14097/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":"2026-07-05T05:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SgwzqfKaC7qCgLTnlrOBvq+jogupEMQbwl/CcDhgndaZgyuFyMYMQgFr3jvnY4wlE1OztQnu4032DmTF1bhoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:03:42.197784Z"},"content_sha256":"d00490fb5718d4a55e61a464d1f00984e2009573228ff076c212e928c1219db6","schema_version":"1.0","event_id":"sha256:d00490fb5718d4a55e61a464d1f00984e2009573228ff076c212e928c1219db6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EBALKRXORCYAED26DVK7D7356P/bundle.json","state_url":"https://pith.science/pith/EBALKRXORCYAED26DVK7D7356P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EBALKRXORCYAED26DVK7D7356P/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":"2026-08-07T20:03:42Z","links":{"resolver":"https://pith.science/pith/EBALKRXORCYAED26DVK7D7356P","bundle":"https://pith.science/pith/EBALKRXORCYAED26DVK7D7356P/bundle.json","state":"https://pith.science/pith/EBALKRXORCYAED26DVK7D7356P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EBALKRXORCYAED26DVK7D7356P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EBALKRXORCYAED26DVK7D7356P","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":"fe09b86cfe56103068f4562e935e15be6ddda121720d773dc1d9a8714e239472","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-09-28T13:46:24Z","title_canon_sha256":"7f77491aebfe3d4f680d286a7106d5145b87075863f8783d1265e4d6b14c9ecf"},"schema_version":"1.0","source":{"id":"2209.14097","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14097","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14097v1","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14097","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"EBALKRXORCYA","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"EBALKRXORCYAED26","created_at":"2026-07-05T05:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"EBALKRXO","created_at":"2026-07-05T05:01:47Z"}],"graph_snapshots":[{"event_id":"sha256:d00490fb5718d4a55e61a464d1f00984e2009573228ff076c212e928c1219db6","target":"graph","created_at":"2026-07-05T05:01:47Z","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/2209.14097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical image classification is one of the most critical problems in the image recognition area. One of the major challenges in this field is the scarcity of labelled training data. Additionally, there is often class imbalance in datasets as some cases are very rare to happen. As a result, accuracy in classification task is normally low. Deep Learning models, in particular, show promising results on image segmentation and classification problems, but they require very large datasets for training. Therefore, there is a need to generate more of synthetic samples from the same distribution. Previ","authors_text":"Hassan Soliman, Khushboo Mehra, Soumya Ranjan Sahoo","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-09-28T13:46:24Z","title":"Data Augmentation using Feature Generation for Volumetric Medical Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14097","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":"sha256:04e86a34724a36958fdb9d3680b3c8be0d3d54facab639dc79a3448d87b06098","target":"record","created_at":"2026-07-05T05:01:47Z","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":"fe09b86cfe56103068f4562e935e15be6ddda121720d773dc1d9a8714e239472","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-09-28T13:46:24Z","title_canon_sha256":"7f77491aebfe3d4f680d286a7106d5145b87075863f8783d1265e4d6b14c9ecf"},"schema_version":"1.0","source":{"id":"2209.14097","kind":"arxiv","version":1}},"canonical_sha256":"2040b546ee88b0020f5e1d55f1ff7df3e6cd67908744eca6c7328585e8976310","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2040b546ee88b0020f5e1d55f1ff7df3e6cd67908744eca6c7328585e8976310","first_computed_at":"2026-07-05T05:01:47.887734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:01:47.887734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iAUbyGigeL7PzIC9xDZ716XfSWpKFIGQhtM+EYwDyCK1iUf3EUshPka6y4tdOlYM7W0z3SmjukxNVj3GmZjXBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:01:47.888182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14097","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04e86a34724a36958fdb9d3680b3c8be0d3d54facab639dc79a3448d87b06098","sha256:d00490fb5718d4a55e61a464d1f00984e2009573228ff076c212e928c1219db6"],"state_sha256":"68dcf1aa7d716e00c047e5130c9702a08c732e4ae5bdbc26c14b9c7b896bf1a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gkaLhuKHgaZa2TdhdPB9QAFc/JqV95LVkT/SGehfaNnvZ8GP1G8MjJaBHEWX9IlWJc8Gmb9FryKKSo+cRG5wDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:03:42.202137Z","bundle_sha256":"fbdfe12865133a24e447fe17305cab23a8dbe1b157a46222bd8d54911726ffc4"}}