{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:P2MHMVMJYDZ2M3OCQ4KU7ABF2L","short_pith_number":"pith:P2MHMVMJ","canonical_record":{"source":{"id":"1806.09347","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T09:37:27Z","cross_cats_sorted":[],"title_canon_sha256":"b977bddf6d2bbb628510fabbceb189a54614425a29a60c48150bf8ff0d9aa18d","abstract_canon_sha256":"1b2d80fa02cf6c312c5e34cc44648214d8b1263a13771980b58ada4ba19b01bd"},"schema_version":"1.0"},"canonical_sha256":"7e98765589c0f3a66dc287154f8025d2c52bcfa61d5d069f32c2d476b2aa8c3a","source":{"kind":"arxiv","id":"1806.09347","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.09347","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"arxiv_version","alias_value":"1806.09347v1","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.09347","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_12","alias_value":"P2MHMVMJYDZ2","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_16","alias_value":"P2MHMVMJYDZ2M3OC","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_8","alias_value":"P2MHMVMJ","created_at":"2026-07-05T07:11:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:P2MHMVMJYDZ2M3OCQ4KU7ABF2L","target":"record","payload":{"canonical_record":{"source":{"id":"1806.09347","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T09:37:27Z","cross_cats_sorted":[],"title_canon_sha256":"b977bddf6d2bbb628510fabbceb189a54614425a29a60c48150bf8ff0d9aa18d","abstract_canon_sha256":"1b2d80fa02cf6c312c5e34cc44648214d8b1263a13771980b58ada4ba19b01bd"},"schema_version":"1.0"},"canonical_sha256":"7e98765589c0f3a66dc287154f8025d2c52bcfa61d5d069f32c2d476b2aa8c3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:11:48.945924Z","signature_b64":"OXn3iKCeL2sjmB3PfBYu62xeF3H7BztbkdL1GnpIz4ezwZpawjrEyTRs/R5EpgLTrM3D2B/I8DtU18s2ixayCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e98765589c0f3a66dc287154f8025d2c52bcfa61d5d069f32c2d476b2aa8c3a","last_reissued_at":"2026-07-05T07:11:48.945443Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:11:48.945443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.09347","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":"2026-07-05T07:11:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"12SfNupy1nyxM6vRodUmn2l3fNrI0a5sfMijiHP9ABHhRWQ2YPT8t8mEcFTv378wcFu1YUkR2rS9atE0Bm8oAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:40:17.724654Z"},"content_sha256":"381d48ab6a27d540c36df01c94e5cb03b05c1fc2816cc89121092a611a530623","schema_version":"1.0","event_id":"sha256:381d48ab6a27d540c36df01c94e5cb03b05c1fc2816cc89121092a611a530623"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:P2MHMVMJYDZ2M3OCQ4KU7ABF2L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Partial least squares discriminant analysis: A dimensionality reduction method to classify hyperspectral data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Andrea Bellincontro, Fabio Mencarelli, Mario Fordellone","submitted_at":"2018-06-25T09:37:27Z","abstract_excerpt":"The recent development of more sophisticated spectroscopic methods allows acqui- sition of high dimensional datasets from which valuable information may be extracted using multivariate statistical analyses, such as dimensionality reduction and automatic classification (supervised and unsupervised). In this work, a supervised classification through a partial least squares discriminant analysis (PLS-DA) is performed on the hy- perspectral data. The obtained results are compared with those obtained by the most commonly used classification approaches."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09347","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/1806.09347/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":"2026-07-05T07:11:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y3XYTyjGNcqYOmwEtQziq1R/+CfwEfvdhy6pFeV3Z2zmUaE9qoIcv98r0tw8r/SLTxc+lcwNAm6NNyOevCFNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:40:17.725145Z"},"content_sha256":"ff35e2a87a36f65ea2c64a2c48a483a607427e69408f1c79ab16139e121dda01","schema_version":"1.0","event_id":"sha256:ff35e2a87a36f65ea2c64a2c48a483a607427e69408f1c79ab16139e121dda01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/bundle.json","state_url":"https://pith.science/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/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":"2026-08-23T22:40:17Z","links":{"resolver":"https://pith.science/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L","bundle":"https://pith.science/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/bundle.json","state":"https://pith.science/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2MHMVMJYDZ2M3OCQ4KU7ABF2L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P2MHMVMJYDZ2M3OCQ4KU7ABF2L","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":"1b2d80fa02cf6c312c5e34cc44648214d8b1263a13771980b58ada4ba19b01bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T09:37:27Z","title_canon_sha256":"b977bddf6d2bbb628510fabbceb189a54614425a29a60c48150bf8ff0d9aa18d"},"schema_version":"1.0","source":{"id":"1806.09347","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.09347","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"arxiv_version","alias_value":"1806.09347v1","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.09347","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_12","alias_value":"P2MHMVMJYDZ2","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_16","alias_value":"P2MHMVMJYDZ2M3OC","created_at":"2026-07-05T07:11:48Z"},{"alias_kind":"pith_short_8","alias_value":"P2MHMVMJ","created_at":"2026-07-05T07:11:48Z"}],"graph_snapshots":[{"event_id":"sha256:ff35e2a87a36f65ea2c64a2c48a483a607427e69408f1c79ab16139e121dda01","target":"graph","created_at":"2026-07-05T07:11:48Z","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/1806.09347/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent development of more sophisticated spectroscopic methods allows acqui- sition of high dimensional datasets from which valuable information may be extracted using multivariate statistical analyses, such as dimensionality reduction and automatic classification (supervised and unsupervised). In this work, a supervised classification through a partial least squares discriminant analysis (PLS-DA) is performed on the hy- perspectral data. The obtained results are compared with those obtained by the most commonly used classification approaches.","authors_text":"Andrea Bellincontro, Fabio Mencarelli, Mario Fordellone","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T09:37:27Z","title":"Partial least squares discriminant analysis: A dimensionality reduction method to classify hyperspectral data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09347","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":"sha256:381d48ab6a27d540c36df01c94e5cb03b05c1fc2816cc89121092a611a530623","target":"record","created_at":"2026-07-05T07:11:48Z","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":"1b2d80fa02cf6c312c5e34cc44648214d8b1263a13771980b58ada4ba19b01bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-06-25T09:37:27Z","title_canon_sha256":"b977bddf6d2bbb628510fabbceb189a54614425a29a60c48150bf8ff0d9aa18d"},"schema_version":"1.0","source":{"id":"1806.09347","kind":"arxiv","version":1}},"canonical_sha256":"7e98765589c0f3a66dc287154f8025d2c52bcfa61d5d069f32c2d476b2aa8c3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e98765589c0f3a66dc287154f8025d2c52bcfa61d5d069f32c2d476b2aa8c3a","first_computed_at":"2026-07-05T07:11:48.945443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:48.945443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OXn3iKCeL2sjmB3PfBYu62xeF3H7BztbkdL1GnpIz4ezwZpawjrEyTRs/R5EpgLTrM3D2B/I8DtU18s2ixayCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:48.945924Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.09347","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:381d48ab6a27d540c36df01c94e5cb03b05c1fc2816cc89121092a611a530623","sha256:ff35e2a87a36f65ea2c64a2c48a483a607427e69408f1c79ab16139e121dda01"],"state_sha256":"6c50300395a5a2e8142e80fd983d74a0ce58116642ed9fa6c77fa8036edd1f80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NlUserX/NczOHsl1txgVRaxhqT8jv4XikIm2Rvg38SeG6putlB5YaDjs2aZhm8pjVz5rFIMrZpprjYZBjsZ3DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T22:40:17.729762Z","bundle_sha256":"47a5b8c638388fd95f65e01365134316bb58dbbfb31132be41a00b4c51a5d353"}}