{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2008:6UT64URMMGPPICPL23ZZRH4SWV","short_pith_number":"pith:6UT64URM","canonical_record":{"source":{"id":"0805.3964","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CV","submitted_at":"2008-05-26T14:16:06Z","cross_cats_sorted":[],"title_canon_sha256":"ae36170a60050cd76689ce5fef1e10bcf4e2ca001aceef596cc97ccc49365be2","abstract_canon_sha256":"97382976b30b75ebdb1bf17123c970c846284238feabfba89c1e63640fbe73da"},"schema_version":"1.0"},"canonical_sha256":"f527ee522c619ef409ebd6f3989f92b57a98999dc417c3524fd6f75110c7689b","source":{"kind":"arxiv","id":"0805.3964","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0805.3964","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"0805.3964v2","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0805.3964","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"6UT64URMMGPP","created_at":"2026-05-18T12:25:56Z"},{"alias_kind":"pith_short_16","alias_value":"6UT64URMMGPPICPL","created_at":"2026-05-18T12:25:56Z"},{"alias_kind":"pith_short_8","alias_value":"6UT64URM","created_at":"2026-05-18T12:25:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2008:6UT64URMMGPPICPL23ZZRH4SWV","target":"record","payload":{"canonical_record":{"source":{"id":"0805.3964","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CV","submitted_at":"2008-05-26T14:16:06Z","cross_cats_sorted":[],"title_canon_sha256":"ae36170a60050cd76689ce5fef1e10bcf4e2ca001aceef596cc97ccc49365be2","abstract_canon_sha256":"97382976b30b75ebdb1bf17123c970c846284238feabfba89c1e63640fbe73da"},"schema_version":"1.0"},"canonical_sha256":"f527ee522c619ef409ebd6f3989f92b57a98999dc417c3524fd6f75110c7689b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:20:14.826341Z","signature_b64":"Xxp+eKqaEVCqwQm2B7BR7OIEVbw3wl2pKK3hkas+3hV6TjL7lRw4+wKDhOt8DBaq+qMDUxfD4cE3EqOtEwH8AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f527ee522c619ef409ebd6f3989f92b57a98999dc417c3524fd6f75110c7689b","last_reissued_at":"2026-05-18T04:20:14.825872Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:20:14.825872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"0805.3964","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tb647nunZ3TEQwYQGMGkHSXZ8mmJv/6hO1tQ1DTq+wRbyqISpgH2cZOZEvSUom2dyAlMIH+NK0YasQUe1bMuCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T11:25:01.121257Z"},"content_sha256":"1054364137f869eaa720f0a01dcfa33c3e42de1227bda850930f9520c11fe03d","schema_version":"1.0","event_id":"sha256:1054364137f869eaa720f0a01dcfa33c3e42de1227bda850930f9520c11fe03d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2008:6UT64URMMGPPICPL23ZZRH4SWV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DimReduction - Interactive Graphic Environment for Dimensionality Reduction","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"David Correa Martins-Jr, Fabricio Martins Lopes, Roberto M. Cesar-Jr","submitted_at":"2008-05-26T14:16:06Z","abstract_excerpt":"Feature selection is a pattern recognition approach to choose important variables according to some criteria to distinguish or explain certain phenomena. There are many genomic and proteomic applications which rely on feature selection to answer questions such as: selecting signature genes which are informative about some biological state, e.g. normal tissues and several types of cancer; or defining a network of prediction or inference among elements such as genes, proteins, external stimuli and other elements of interest. In these applications, a recurrent problem is the lack of samples to pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0805.3964","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T04:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cFv+3AfmCs4IJEf+9yFFDreBDAiDLJvMxBOGOY1oTQvG17tnpXUvEcW+YWGldQtlU0u+qVhMxwvRErHloGzlAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T11:25:01.121620Z"},"content_sha256":"d13f875d56972218f2518d7291709632b7b4246cd3e2a4abeed1083aecb551f6","schema_version":"1.0","event_id":"sha256:d13f875d56972218f2518d7291709632b7b4246cd3e2a4abeed1083aecb551f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6UT64URMMGPPICPL23ZZRH4SWV/bundle.json","state_url":"https://pith.science/pith/6UT64URMMGPPICPL23ZZRH4SWV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6UT64URMMGPPICPL23ZZRH4SWV/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":"2026-06-04T11:25:01Z","links":{"resolver":"https://pith.science/pith/6UT64URMMGPPICPL23ZZRH4SWV","bundle":"https://pith.science/pith/6UT64URMMGPPICPL23ZZRH4SWV/bundle.json","state":"https://pith.science/pith/6UT64URMMGPPICPL23ZZRH4SWV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6UT64URMMGPPICPL23ZZRH4SWV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2008:6UT64URMMGPPICPL23ZZRH4SWV","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":"97382976b30b75ebdb1bf17123c970c846284238feabfba89c1e63640fbe73da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CV","submitted_at":"2008-05-26T14:16:06Z","title_canon_sha256":"ae36170a60050cd76689ce5fef1e10bcf4e2ca001aceef596cc97ccc49365be2"},"schema_version":"1.0","source":{"id":"0805.3964","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0805.3964","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"0805.3964v2","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0805.3964","created_at":"2026-05-18T04:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"6UT64URMMGPP","created_at":"2026-05-18T12:25:56Z"},{"alias_kind":"pith_short_16","alias_value":"6UT64URMMGPPICPL","created_at":"2026-05-18T12:25:56Z"},{"alias_kind":"pith_short_8","alias_value":"6UT64URM","created_at":"2026-05-18T12:25:56Z"}],"graph_snapshots":[{"event_id":"sha256:d13f875d56972218f2518d7291709632b7b4246cd3e2a4abeed1083aecb551f6","target":"graph","created_at":"2026-05-18T04:20:14Z","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"},"paper":{"abstract_excerpt":"Feature selection is a pattern recognition approach to choose important variables according to some criteria to distinguish or explain certain phenomena. There are many genomic and proteomic applications which rely on feature selection to answer questions such as: selecting signature genes which are informative about some biological state, e.g. normal tissues and several types of cancer; or defining a network of prediction or inference among elements such as genes, proteins, external stimuli and other elements of interest. In these applications, a recurrent problem is the lack of samples to pe","authors_text":"David Correa Martins-Jr, Fabricio Martins Lopes, Roberto M. Cesar-Jr","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CV","submitted_at":"2008-05-26T14:16:06Z","title":"DimReduction - Interactive Graphic Environment for Dimensionality Reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0805.3964","kind":"arxiv","version":2},"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":"sha256:1054364137f869eaa720f0a01dcfa33c3e42de1227bda850930f9520c11fe03d","target":"record","created_at":"2026-05-18T04:20:14Z","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":"97382976b30b75ebdb1bf17123c970c846284238feabfba89c1e63640fbe73da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.CV","submitted_at":"2008-05-26T14:16:06Z","title_canon_sha256":"ae36170a60050cd76689ce5fef1e10bcf4e2ca001aceef596cc97ccc49365be2"},"schema_version":"1.0","source":{"id":"0805.3964","kind":"arxiv","version":2}},"canonical_sha256":"f527ee522c619ef409ebd6f3989f92b57a98999dc417c3524fd6f75110c7689b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f527ee522c619ef409ebd6f3989f92b57a98999dc417c3524fd6f75110c7689b","first_computed_at":"2026-05-18T04:20:14.825872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:20:14.825872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xxp+eKqaEVCqwQm2B7BR7OIEVbw3wl2pKK3hkas+3hV6TjL7lRw4+wKDhOt8DBaq+qMDUxfD4cE3EqOtEwH8AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:20:14.826341Z","signed_message":"canonical_sha256_bytes"},"source_id":"0805.3964","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1054364137f869eaa720f0a01dcfa33c3e42de1227bda850930f9520c11fe03d","sha256:d13f875d56972218f2518d7291709632b7b4246cd3e2a4abeed1083aecb551f6"],"state_sha256":"ecaefd870f4dedc7e68658149e27eb567326111da18848046c62ad3db8f1a060"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"km8WiuRwboz4dRMij6pA2twYER8VV3DQ3c5vzgPTzrEzEWVBp0+wZJCP8Is0h1s6bZGkmaGFDSQo1+4ZBTq2Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T11:25:01.123685Z","bundle_sha256":"355de64c6b5f5da0ab3184a2de3ecee096e1a2a380f121825447570aeec57403"}}