{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:TYSMWRO24EQ4KKQCPDXHLB6YHD","short_pith_number":"pith:TYSMWRO2","canonical_record":{"source":{"id":"2607.01307","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-01T16:57:58Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"c892bcb813338ff6bfa6e928b3353b730d66c595a6a17dc0384ec96641d6ebd1","abstract_canon_sha256":"19638af4858d21cb68e25988f3c8af3b654321cc9ac299450be11094545605ab"},"schema_version":"1.0"},"canonical_sha256":"9e24cb45dae121c52a0278ee7587d838de44e83f54b199f229493323b90c9112","source":{"kind":"arxiv","id":"2607.01307","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01307","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01307v1","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01307","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_12","alias_value":"TYSMWRO24EQ4","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_16","alias_value":"TYSMWRO24EQ4KKQC","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_8","alias_value":"TYSMWRO2","created_at":"2026-07-03T00:16:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:TYSMWRO24EQ4KKQCPDXHLB6YHD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01307","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-01T16:57:58Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"c892bcb813338ff6bfa6e928b3353b730d66c595a6a17dc0384ec96641d6ebd1","abstract_canon_sha256":"19638af4858d21cb68e25988f3c8af3b654321cc9ac299450be11094545605ab"},"schema_version":"1.0"},"canonical_sha256":"9e24cb45dae121c52a0278ee7587d838de44e83f54b199f229493323b90c9112","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:16:56.951602Z","signature_b64":"4+SkbSwQ+bTFpAOppa5fNM8NgvoiQRjgVqRFMoxsivf4IazjO7bOXzwIT6P2UH39wL/FWh9wwnhd4CD6mkXuAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e24cb45dae121c52a0278ee7587d838de44e83f54b199f229493323b90c9112","last_reissued_at":"2026-07-03T00:16:56.951220Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:16:56.951220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01307","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":"2026-07-03T00:16:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cBAtaVTLZnPm8QKKdVa5p/H/plfs7P6/1TRoN55g89M6be2RMo0TBG/rEroTe4lnp6+BcqnQamKg4QDmRphCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:11:40.840293Z"},"content_sha256":"5a64758bda03e403ae5ded522aeac0cf56822cb72bf9b7245bb487bb2742935d","schema_version":"1.0","event_id":"sha256:5a64758bda03e403ae5ded522aeac0cf56822cb72bf9b7245bb487bb2742935d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:TYSMWRO24EQ4KKQCPDXHLB6YHD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Novel Machine Learning Approach for Central Nervous System Tumor Classification from DNA Methylation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"cs.LG","authors_text":"La\\'is dos Santos Gon\\c{c}alves, Lucas Coutinho Freitas, Lucas Petitemberte de Souza, Mariana B. Michalowski, Paulo R. Ferreira Jr., Vinicius F. Campos, William Borges Domingues","submitted_at":"2026-07-01T16:57:58Z","abstract_excerpt":"NA methylation profiling has become a powerful approach for central nervous system (CNS) tumor classification, yet important challenges remain regarding cross-cohort transferability, methodological correctness, and robust multiclass evaluation. In this work, we propose a novel and methodologically rigorous machine-learning approach for methylation-based CNS tumor classification that combines Sparse Random Projection for dimensionality reduction with multinomial logistic regression for classification. We evaluate the proposed approach in the same general experimental setting established by a wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01307","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/2607.01307/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":"2026-07-03T00:16:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZJiB3xLLczgu99jTYYB/6kG+rkfMKkVseR6vx7EqRVprVIZuwr++TtqqF+Gfq83AJv0LgqnBEiWx6PJDEZ13DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:11:40.840682Z"},"content_sha256":"280f3426e5b8c235155241607302e69b89296fb6e1112609e41e72f87995fd46","schema_version":"1.0","event_id":"sha256:280f3426e5b8c235155241607302e69b89296fb6e1112609e41e72f87995fd46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/bundle.json","state_url":"https://pith.science/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/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":"2026-07-07T15:11:40Z","links":{"resolver":"https://pith.science/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD","bundle":"https://pith.science/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/bundle.json","state":"https://pith.science/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TYSMWRO24EQ4KKQCPDXHLB6YHD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TYSMWRO24EQ4KKQCPDXHLB6YHD","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":"19638af4858d21cb68e25988f3c8af3b654321cc9ac299450be11094545605ab","cross_cats_sorted":["q-bio.GN"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-01T16:57:58Z","title_canon_sha256":"c892bcb813338ff6bfa6e928b3353b730d66c595a6a17dc0384ec96641d6ebd1"},"schema_version":"1.0","source":{"id":"2607.01307","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01307","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01307v1","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01307","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_12","alias_value":"TYSMWRO24EQ4","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_16","alias_value":"TYSMWRO24EQ4KKQC","created_at":"2026-07-03T00:16:56Z"},{"alias_kind":"pith_short_8","alias_value":"TYSMWRO2","created_at":"2026-07-03T00:16:56Z"}],"graph_snapshots":[{"event_id":"sha256:280f3426e5b8c235155241607302e69b89296fb6e1112609e41e72f87995fd46","target":"graph","created_at":"2026-07-03T00:16:56Z","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/2607.01307/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"NA methylation profiling has become a powerful approach for central nervous system (CNS) tumor classification, yet important challenges remain regarding cross-cohort transferability, methodological correctness, and robust multiclass evaluation. In this work, we propose a novel and methodologically rigorous machine-learning approach for methylation-based CNS tumor classification that combines Sparse Random Projection for dimensionality reduction with multinomial logistic regression for classification. We evaluate the proposed approach in the same general experimental setting established by a wi","authors_text":"La\\'is dos Santos Gon\\c{c}alves, Lucas Coutinho Freitas, Lucas Petitemberte de Souza, Mariana B. Michalowski, Paulo R. Ferreira Jr., Vinicius F. Campos, William Borges Domingues","cross_cats":["q-bio.GN"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-01T16:57:58Z","title":"A Novel Machine Learning Approach for Central Nervous System Tumor Classification from DNA Methylation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01307","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":"sha256:5a64758bda03e403ae5ded522aeac0cf56822cb72bf9b7245bb487bb2742935d","target":"record","created_at":"2026-07-03T00:16:56Z","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":"19638af4858d21cb68e25988f3c8af3b654321cc9ac299450be11094545605ab","cross_cats_sorted":["q-bio.GN"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-01T16:57:58Z","title_canon_sha256":"c892bcb813338ff6bfa6e928b3353b730d66c595a6a17dc0384ec96641d6ebd1"},"schema_version":"1.0","source":{"id":"2607.01307","kind":"arxiv","version":1}},"canonical_sha256":"9e24cb45dae121c52a0278ee7587d838de44e83f54b199f229493323b90c9112","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e24cb45dae121c52a0278ee7587d838de44e83f54b199f229493323b90c9112","first_computed_at":"2026-07-03T00:16:56.951220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T00:16:56.951220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4+SkbSwQ+bTFpAOppa5fNM8NgvoiQRjgVqRFMoxsivf4IazjO7bOXzwIT6P2UH39wL/FWh9wwnhd4CD6mkXuAA==","signature_status":"signed_v1","signed_at":"2026-07-03T00:16:56.951602Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01307","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a64758bda03e403ae5ded522aeac0cf56822cb72bf9b7245bb487bb2742935d","sha256:280f3426e5b8c235155241607302e69b89296fb6e1112609e41e72f87995fd46"],"state_sha256":"b66f421df4b8baf56cd1cf9dcec515888f1c83f615daf4b7aa8bde6304992372"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kq//q+eyf66mxx8tPdvMcVvZop7tuzPoaNQCHarFKTqCp+sD4re634RkBs4ChSit5MoPg1JenWSoALsEZMCNDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:11:40.842669Z","bundle_sha256":"abfd19a845037e595f81cca30f7de4ac87ee5c3561b4763629fc576cdb9cd00e"}}