{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:LEDAXONOPZYK2Y7RJ7RWBKM7VV","short_pith_number":"pith:LEDAXONO","canonical_record":{"source":{"id":"2006.01767","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-05-29T17:13:51Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"699c3b263809ac3b32a7a28350adcbc36475115701c88e2c94ac3e3a6f145613","abstract_canon_sha256":"c11bc33aa10434c24ea54f03c6c0a2b039bc97f75dc65d5a9bf74f97dc954b81"},"schema_version":"1.0"},"canonical_sha256":"59060bb9ae7e70ad63f14fe360a99fad53f44e30423dea6fc4fa5a9dd54db3fe","source":{"kind":"arxiv","id":"2006.01767","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.01767","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2006.01767v1","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.01767","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"LEDAXONOPZYK","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"LEDAXONOPZYK2Y7R","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"LEDAXONO","created_at":"2026-07-05T01:07:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:LEDAXONOPZYK2Y7RJ7RWBKM7VV","target":"record","payload":{"canonical_record":{"source":{"id":"2006.01767","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-05-29T17:13:51Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"699c3b263809ac3b32a7a28350adcbc36475115701c88e2c94ac3e3a6f145613","abstract_canon_sha256":"c11bc33aa10434c24ea54f03c6c0a2b039bc97f75dc65d5a9bf74f97dc954b81"},"schema_version":"1.0"},"canonical_sha256":"59060bb9ae7e70ad63f14fe360a99fad53f44e30423dea6fc4fa5a9dd54db3fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:07:33.859511Z","signature_b64":"55lkVn6EHWholYNJ0Pv3KdF3BBFdyVWzLEP5BseE0vie60UEL5LHLC2R0c3hFMKnNPer1JKTZbfCwLj8HLuZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59060bb9ae7e70ad63f14fe360a99fad53f44e30423dea6fc4fa5a9dd54db3fe","last_reissued_at":"2026-07-05T01:07:33.859157Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:07:33.859157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.01767","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":"2026-07-05T01:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fruq/1IWJkQhd3pBm1u1nOHNHb2//MwkuzPOnfR2COOFqfr7r4/eNiJZB0RoO7Q9DObKUIbeHz7WkHBOrlYFCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:59:26.908128Z"},"content_sha256":"d0b09342e4e3f3c83c4b6764a95200c89e5adc7ae0f820ba0a4627011ccb8d41","schema_version":"1.0","event_id":"sha256:d0b09342e4e3f3c83c4b6764a95200c89e5adc7ae0f820ba0a4627011ccb8d41"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:LEDAXONOPZYK2Y7RJ7RWBKM7VV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IT","cs.LG","math.IT"],"primary_cat":"eess.IV","authors_text":"M. Rubaiyat Hossain Mondal, Prajoy Podder, Subrato Bharati","submitted_at":"2020-05-29T17:13:51Z","abstract_excerpt":"Breast cancer is a common fatal disease for women. Early diagnosis and detection is necessary in order to improve the prognosis of breast cancer affected people. For predicting breast cancer, several automated systems are already developed using different medical imaging modalities. This paper provides a systematic review of the literature on artificial neural network (ANN) based models for the diagnosis of breast cancer via mammography. The advantages and limitations of different ANN models including spiking neural network (SNN), deep belief network (DBN), convolutional neural network (CNN), "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.01767","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/2006.01767/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":"2026-07-05T01:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EoDrP/Wg0bofqK56i4If8rz6ep20ujunW7qC2E4guHqNEbbues5MGj+PFdJHlgHT7raP8DkL6WM0dtXKTulzBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:59:26.908773Z"},"content_sha256":"dd7be78f69dd07d56c047785fbbf7a484c481d0084a225655aa3035c3c5baa7f","schema_version":"1.0","event_id":"sha256:dd7be78f69dd07d56c047785fbbf7a484c481d0084a225655aa3035c3c5baa7f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/bundle.json","state_url":"https://pith.science/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/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":"2026-07-05T14:59:26Z","links":{"resolver":"https://pith.science/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV","bundle":"https://pith.science/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/bundle.json","state":"https://pith.science/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LEDAXONOPZYK2Y7RJ7RWBKM7VV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LEDAXONOPZYK2Y7RJ7RWBKM7VV","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":"c11bc33aa10434c24ea54f03c6c0a2b039bc97f75dc65d5a9bf74f97dc954b81","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-05-29T17:13:51Z","title_canon_sha256":"699c3b263809ac3b32a7a28350adcbc36475115701c88e2c94ac3e3a6f145613"},"schema_version":"1.0","source":{"id":"2006.01767","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.01767","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2006.01767v1","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.01767","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"LEDAXONOPZYK","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"LEDAXONOPZYK2Y7R","created_at":"2026-07-05T01:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"LEDAXONO","created_at":"2026-07-05T01:07:33Z"}],"graph_snapshots":[{"event_id":"sha256:dd7be78f69dd07d56c047785fbbf7a484c481d0084a225655aa3035c3c5baa7f","target":"graph","created_at":"2026-07-05T01:07:33Z","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/2006.01767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Breast cancer is a common fatal disease for women. Early diagnosis and detection is necessary in order to improve the prognosis of breast cancer affected people. For predicting breast cancer, several automated systems are already developed using different medical imaging modalities. This paper provides a systematic review of the literature on artificial neural network (ANN) based models for the diagnosis of breast cancer via mammography. The advantages and limitations of different ANN models including spiking neural network (SNN), deep belief network (DBN), convolutional neural network (CNN), ","authors_text":"M. Rubaiyat Hossain Mondal, Prajoy Podder, Subrato Bharati","cross_cats":["cs.IT","cs.LG","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-05-29T17:13:51Z","title":"Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.01767","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:d0b09342e4e3f3c83c4b6764a95200c89e5adc7ae0f820ba0a4627011ccb8d41","target":"record","created_at":"2026-07-05T01:07:33Z","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":"c11bc33aa10434c24ea54f03c6c0a2b039bc97f75dc65d5a9bf74f97dc954b81","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-05-29T17:13:51Z","title_canon_sha256":"699c3b263809ac3b32a7a28350adcbc36475115701c88e2c94ac3e3a6f145613"},"schema_version":"1.0","source":{"id":"2006.01767","kind":"arxiv","version":1}},"canonical_sha256":"59060bb9ae7e70ad63f14fe360a99fad53f44e30423dea6fc4fa5a9dd54db3fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59060bb9ae7e70ad63f14fe360a99fad53f44e30423dea6fc4fa5a9dd54db3fe","first_computed_at":"2026-07-05T01:07:33.859157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:07:33.859157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"55lkVn6EHWholYNJ0Pv3KdF3BBFdyVWzLEP5BseE0vie60UEL5LHLC2R0c3hFMKnNPer1JKTZbfCwLj8HLuZDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:07:33.859511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.01767","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0b09342e4e3f3c83c4b6764a95200c89e5adc7ae0f820ba0a4627011ccb8d41","sha256:dd7be78f69dd07d56c047785fbbf7a484c481d0084a225655aa3035c3c5baa7f"],"state_sha256":"69494740941074680b9f919fb4dd1578f4351749e08c5b36c5d51a8eb2580915"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mEKE8VOLKMLlJW+xEy+NjXyWwTK3LBGdvrKNbmofyGQFtmo6hLBjQlcAtScx1F0RME1Pl150NPDmM3no0OdbBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:59:26.911908Z","bundle_sha256":"40d2ddd06b1da19aef38d7e21187377d103dd498f09807a8eda016ab0d45696d"}}