{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QQ7TIKVPA3NFOHWV3XLAXUD33C","short_pith_number":"pith:QQ7TIKVP","canonical_record":{"source":{"id":"2405.09955","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-16T10:01:16Z","cross_cats_sorted":[],"title_canon_sha256":"08729ceac77d95a8d2fad75005333543ff6a98142fff23b1cc484c7fc34c8c89","abstract_canon_sha256":"b625ad4303ce5539ece95b39f43edc8d8c8b2bc7f038f6a3119bf797297b55d0"},"schema_version":"1.0"},"canonical_sha256":"843f342aaf06da571ed5ddd60bd07bd8bfcc23d6aaf771a1ae26c5a88be88cfb","source":{"kind":"arxiv","id":"2405.09955","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09955","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09955v2","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09955","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_12","alias_value":"QQ7TIKVPA3NF","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_16","alias_value":"QQ7TIKVPA3NFOHWV","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_8","alias_value":"QQ7TIKVP","created_at":"2026-07-05T08:20:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QQ7TIKVPA3NFOHWV3XLAXUD33C","target":"record","payload":{"canonical_record":{"source":{"id":"2405.09955","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-16T10:01:16Z","cross_cats_sorted":[],"title_canon_sha256":"08729ceac77d95a8d2fad75005333543ff6a98142fff23b1cc484c7fc34c8c89","abstract_canon_sha256":"b625ad4303ce5539ece95b39f43edc8d8c8b2bc7f038f6a3119bf797297b55d0"},"schema_version":"1.0"},"canonical_sha256":"843f342aaf06da571ed5ddd60bd07bd8bfcc23d6aaf771a1ae26c5a88be88cfb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:11.978459Z","signature_b64":"PNSNlPYsprsT6uZSg2w7MWYHc2BnNR5xIFVmJAE2brqyCch7ZrBBgbWWZavfg7PPDl/LOAvqdo2+puNa85UUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"843f342aaf06da571ed5ddd60bd07bd8bfcc23d6aaf771a1ae26c5a88be88cfb","last_reissued_at":"2026-07-05T08:20:11.978028Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:11.978028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.09955","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":"2026-07-05T08:20:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M/fPrNFPHlog8bYvdVXnoj0bGEMS+1TCSq968cDRcMYXrkohaor9PpA+hAGYAhZ5GOINc4Hqojnh5/aP0QMtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:57:22.363722Z"},"content_sha256":"e50a48009719b2347983198bdcfd2ac725a3891aa97c1f800354a2d0c8b04c8c","schema_version":"1.0","event_id":"sha256:e50a48009719b2347983198bdcfd2ac725a3891aa97c1f800354a2d0c8b04c8c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QQ7TIKVPA3NFOHWV3XLAXUD33C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Grzegorz Cielniak, Krystian {\\L}ukasik, Usman A. Zahidi","submitted_at":"2024-05-16T10:01:16Z","abstract_excerpt":"The maturity classification of specialty crops such as strawberries and tomatoes is an essential agricultural downstream activity for selective harvesting and quality control (QC) at production and packaging sites. Recent advancements in Deep Learning (DL) have produced encouraging results in color images for maturity classification applications. However, hyperspectral imaging (HSI) outperforms methods based on color vision. Multivariate analysis methods and Convolutional Neural Networks (CNN) deliver promising results; however, a large amount of input data and the associated preprocessing req"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09955","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.09955/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":"2026-07-05T08:20:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ElK6Ivg5HnAKh1NYkaa6VDyvI5R+wxH0Wovqa4m4lDBYxZn6AgLZY5II9qor2+tuJIToezcGuO3O3DnmShJ2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:57:22.364230Z"},"content_sha256":"62df0a6da52c044a15d3fe141e90e46dc8384f3686b523e8149909163185043e","schema_version":"1.0","event_id":"sha256:62df0a6da52c044a15d3fe141e90e46dc8384f3686b523e8149909163185043e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/bundle.json","state_url":"https://pith.science/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/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":"2026-08-16T00:57:22Z","links":{"resolver":"https://pith.science/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C","bundle":"https://pith.science/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/bundle.json","state":"https://pith.science/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QQ7TIKVPA3NFOHWV3XLAXUD33C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QQ7TIKVPA3NFOHWV3XLAXUD33C","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":"b625ad4303ce5539ece95b39f43edc8d8c8b2bc7f038f6a3119bf797297b55d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-16T10:01:16Z","title_canon_sha256":"08729ceac77d95a8d2fad75005333543ff6a98142fff23b1cc484c7fc34c8c89"},"schema_version":"1.0","source":{"id":"2405.09955","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09955","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09955v2","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09955","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_12","alias_value":"QQ7TIKVPA3NF","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_16","alias_value":"QQ7TIKVPA3NFOHWV","created_at":"2026-07-05T08:20:11Z"},{"alias_kind":"pith_short_8","alias_value":"QQ7TIKVP","created_at":"2026-07-05T08:20:11Z"}],"graph_snapshots":[{"event_id":"sha256:62df0a6da52c044a15d3fe141e90e46dc8384f3686b523e8149909163185043e","target":"graph","created_at":"2026-07-05T08:20:11Z","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/2405.09955/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The maturity classification of specialty crops such as strawberries and tomatoes is an essential agricultural downstream activity for selective harvesting and quality control (QC) at production and packaging sites. Recent advancements in Deep Learning (DL) have produced encouraging results in color images for maturity classification applications. However, hyperspectral imaging (HSI) outperforms methods based on color vision. Multivariate analysis methods and Convolutional Neural Networks (CNN) deliver promising results; however, a large amount of input data and the associated preprocessing req","authors_text":"Grzegorz Cielniak, Krystian {\\L}ukasik, Usman A. Zahidi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-16T10:01:16Z","title":"Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09955","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:e50a48009719b2347983198bdcfd2ac725a3891aa97c1f800354a2d0c8b04c8c","target":"record","created_at":"2026-07-05T08:20:11Z","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":"b625ad4303ce5539ece95b39f43edc8d8c8b2bc7f038f6a3119bf797297b55d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-16T10:01:16Z","title_canon_sha256":"08729ceac77d95a8d2fad75005333543ff6a98142fff23b1cc484c7fc34c8c89"},"schema_version":"1.0","source":{"id":"2405.09955","kind":"arxiv","version":2}},"canonical_sha256":"843f342aaf06da571ed5ddd60bd07bd8bfcc23d6aaf771a1ae26c5a88be88cfb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"843f342aaf06da571ed5ddd60bd07bd8bfcc23d6aaf771a1ae26c5a88be88cfb","first_computed_at":"2026-07-05T08:20:11.978028Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:11.978028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PNSNlPYsprsT6uZSg2w7MWYHc2BnNR5xIFVmJAE2brqyCch7ZrBBgbWWZavfg7PPDl/LOAvqdo2+puNa85UUCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:11.978459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.09955","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e50a48009719b2347983198bdcfd2ac725a3891aa97c1f800354a2d0c8b04c8c","sha256:62df0a6da52c044a15d3fe141e90e46dc8384f3686b523e8149909163185043e"],"state_sha256":"9b20c2e25f53717933c205eb0a2defc72e5191ec5fbab2227ee9be5269fe4b87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FJF4yKuF+DcZfnV2tgPMJKf8/8JVofNWCQtRQ9mrw/tNqHka83hZVYKEFpdH+EMPeXRls9r8wYC7Drh/m0JRDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T00:57:22.368225Z","bundle_sha256":"af09f131d7dae5b191ae2e2106767ef777aaeeb4b9a6a5493187715a977acb5f"}}