{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J5PWTTXDZ3E3UHJKJNE5LBPKDF","short_pith_number":"pith:J5PWTTXD","canonical_record":{"source":{"id":"2502.09686","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-13T14:53:09Z","cross_cats_sorted":[],"title_canon_sha256":"8c1ab91979d58f6c2bb62dc5b8e83f21c7b96809d81d7b7ceca5f24ca5dbaaed","abstract_canon_sha256":"2508447712849c2878a201bb80f62df8095b098fff0ef809d5a59ee745c03bbb"},"schema_version":"1.0"},"canonical_sha256":"4f5f69cee3cec9ba1d2a4b49d585ea19589f30b202a759a572f078b870f509e7","source":{"kind":"arxiv","id":"2502.09686","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09686","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09686v1","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09686","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_12","alias_value":"J5PWTTXDZ3E3","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_16","alias_value":"J5PWTTXDZ3E3UHJK","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_8","alias_value":"J5PWTTXD","created_at":"2026-07-05T10:14:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J5PWTTXDZ3E3UHJKJNE5LBPKDF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.09686","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-13T14:53:09Z","cross_cats_sorted":[],"title_canon_sha256":"8c1ab91979d58f6c2bb62dc5b8e83f21c7b96809d81d7b7ceca5f24ca5dbaaed","abstract_canon_sha256":"2508447712849c2878a201bb80f62df8095b098fff0ef809d5a59ee745c03bbb"},"schema_version":"1.0"},"canonical_sha256":"4f5f69cee3cec9ba1d2a4b49d585ea19589f30b202a759a572f078b870f509e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:10.529970Z","signature_b64":"o7OlI02HQ6vxfmqiaEVSe/11oMk1ut3mdb9/+28tveefhs81eCmpdEchA5b2tgUA9KwjRuN7LPaSSWjWXVSwBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f5f69cee3cec9ba1d2a4b49d585ea19589f30b202a759a572f078b870f509e7","last_reissued_at":"2026-07-05T10:14:10.529584Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:10.529584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.09686","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":"2026-07-05T10:14:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Dimy2yn4iPg/h146MHQKPDDKvm0BS0GuF4U0BdDYGAzaruJpkMTosXpafmbqPMAyM5uCvFhVZsNhfR3B9FqBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T01:08:48.926949Z"},"content_sha256":"956e0d3ce57a73b0679a6a2550f9a7a427ad0db1c17ac9ed48e508726ca520d3","schema_version":"1.0","event_id":"sha256:956e0d3ce57a73b0679a6a2550f9a7a427ad0db1c17ac9ed48e508726ca520d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J5PWTTXDZ3E3UHJKJNE5LBPKDF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Abolfazl Diyanat, Marziehsadat Ghalamkarian, MortezaAli Ahmadi, Raziehsadat Ghalamkarian, Sayed Mohammad Ahmadi","submitted_at":"2025-02-13T14:53:09Z","abstract_excerpt":"Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the limitations in precision of traditional diagnostic methods such as the Digital Rectal Exam (DRE), Prostate-Specific Antigen (PSA) testing, and biopsies underscore the critical importance of accurate staging detection in enhancing treatment outcomes and improving patient prognosis. This study leverages machine learning and deep learning approaches, along with feature selection and extraction methods, to enhance PCa pathological staging predictions using RNA sequencing data from The Cancer Genome At"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09686","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/2502.09686/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":"2026-07-05T10:14:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GXpTdN4JFgw3TOCGO4kGq/uxuMq9awclm8XgI80/vvt4twTSfPeMDn3kjuzTdhFhHMovDEedieY+u/EyzRf2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T01:08:48.927481Z"},"content_sha256":"56c4fc0cab04362d40ab2bff87b968241ec9854dff78320273544b53c70a488d","schema_version":"1.0","event_id":"sha256:56c4fc0cab04362d40ab2bff87b968241ec9854dff78320273544b53c70a488d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/bundle.json","state_url":"https://pith.science/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/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":"2026-08-01T01:08:48Z","links":{"resolver":"https://pith.science/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF","bundle":"https://pith.science/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/bundle.json","state":"https://pith.science/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J5PWTTXDZ3E3UHJKJNE5LBPKDF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J5PWTTXDZ3E3UHJKJNE5LBPKDF","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":"2508447712849c2878a201bb80f62df8095b098fff0ef809d5a59ee745c03bbb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-13T14:53:09Z","title_canon_sha256":"8c1ab91979d58f6c2bb62dc5b8e83f21c7b96809d81d7b7ceca5f24ca5dbaaed"},"schema_version":"1.0","source":{"id":"2502.09686","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09686","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09686v1","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09686","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_12","alias_value":"J5PWTTXDZ3E3","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_16","alias_value":"J5PWTTXDZ3E3UHJK","created_at":"2026-07-05T10:14:10Z"},{"alias_kind":"pith_short_8","alias_value":"J5PWTTXD","created_at":"2026-07-05T10:14:10Z"}],"graph_snapshots":[{"event_id":"sha256:56c4fc0cab04362d40ab2bff87b968241ec9854dff78320273544b53c70a488d","target":"graph","created_at":"2026-07-05T10:14:10Z","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/2502.09686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the limitations in precision of traditional diagnostic methods such as the Digital Rectal Exam (DRE), Prostate-Specific Antigen (PSA) testing, and biopsies underscore the critical importance of accurate staging detection in enhancing treatment outcomes and improving patient prognosis. This study leverages machine learning and deep learning approaches, along with feature selection and extraction methods, to enhance PCa pathological staging predictions using RNA sequencing data from The Cancer Genome At","authors_text":"Abolfazl Diyanat, Marziehsadat Ghalamkarian, MortezaAli Ahmadi, Raziehsadat Ghalamkarian, Sayed Mohammad Ahmadi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-13T14:53:09Z","title":"Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09686","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":"sha256:956e0d3ce57a73b0679a6a2550f9a7a427ad0db1c17ac9ed48e508726ca520d3","target":"record","created_at":"2026-07-05T10:14:10Z","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":"2508447712849c2878a201bb80f62df8095b098fff0ef809d5a59ee745c03bbb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-13T14:53:09Z","title_canon_sha256":"8c1ab91979d58f6c2bb62dc5b8e83f21c7b96809d81d7b7ceca5f24ca5dbaaed"},"schema_version":"1.0","source":{"id":"2502.09686","kind":"arxiv","version":1}},"canonical_sha256":"4f5f69cee3cec9ba1d2a4b49d585ea19589f30b202a759a572f078b870f509e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f5f69cee3cec9ba1d2a4b49d585ea19589f30b202a759a572f078b870f509e7","first_computed_at":"2026-07-05T10:14:10.529584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:10.529584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o7OlI02HQ6vxfmqiaEVSe/11oMk1ut3mdb9/+28tveefhs81eCmpdEchA5b2tgUA9KwjRuN7LPaSSWjWXVSwBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:10.529970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09686","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:956e0d3ce57a73b0679a6a2550f9a7a427ad0db1c17ac9ed48e508726ca520d3","sha256:56c4fc0cab04362d40ab2bff87b968241ec9854dff78320273544b53c70a488d"],"state_sha256":"6aa490c8ff5c5ea09a2a7b0a74ff43fb39af109dd65057d54b47fd82a652530c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NXnXovVPIEoHdWCpsJrGje2tXI8tkM1aYrL3s01wBj7QiC35tkogg2orbruACxYJJ06OAD8bbvfLfXPDnJT+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T01:08:48.931412Z","bundle_sha256":"91c56e7f5b1ff78ff0380b1a8d65692c4d6b6295588deb36a41a9c9cb6cf9009"}}