{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:FPJWJVTDLOUVNK3OJAJRYQRUVU","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":"fb1234cc62b7fea7a9f26207ffe0253d22ea827da0b5b846dbb5df21bcbbc359","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T07:29:29Z","title_canon_sha256":"38397b7739edd36a7ae8ea35045e0cb7cb0a274992940884b7152987215c8584"},"schema_version":"1.0","source":{"id":"1611.09007","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.09007","created_at":"2026-05-18T00:56:29Z"},{"alias_kind":"arxiv_version","alias_value":"1611.09007v1","created_at":"2026-05-18T00:56:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.09007","created_at":"2026-05-18T00:56:29Z"},{"alias_kind":"pith_short_12","alias_value":"FPJWJVTDLOUV","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"FPJWJVTDLOUVNK3O","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"FPJWJVTD","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:5c750ec471729b3892d2d7bc456683f815a41adfb9a81071e8f35edcd59ceb9c","target":"graph","created_at":"2026-05-18T00:56:29Z","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":"Hyperspectral imaging sensors are becoming increasingly popular in robotics applications such as agriculture and mining, and allow per-pixel thematic classification of materials in a scene based on their unique spectral signatures. Recently, convolutional neural networks have shown remarkable performance for classification tasks, but require substantial amounts of labelled training data. This data must sufficiently cover the variability expected to be encountered in the environment. For hyperspectral data, one of the main variations encountered outdoors is due to incident illumination, which c","authors_text":"Arman Melkumyan, Lloyd Windrim, Richard Murphy, Rishi Ramakrishnan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T07:29:29Z","title":"Hyperspectral CNN Classification with Limited Training Samples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.09007","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":"sha256:9a728ac0134e8815875dc064f90b60d43875faaf7bea3cfa40a422da86b3a84f","target":"record","created_at":"2026-05-18T00:56:29Z","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":"fb1234cc62b7fea7a9f26207ffe0253d22ea827da0b5b846dbb5df21bcbbc359","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T07:29:29Z","title_canon_sha256":"38397b7739edd36a7ae8ea35045e0cb7cb0a274992940884b7152987215c8584"},"schema_version":"1.0","source":{"id":"1611.09007","kind":"arxiv","version":1}},"canonical_sha256":"2bd364d6635ba956ab6e48131c4234ad342488c8794dc9aec3a4ca2ac5242247","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bd364d6635ba956ab6e48131c4234ad342488c8794dc9aec3a4ca2ac5242247","first_computed_at":"2026-05-18T00:56:29.541746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:56:29.541746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p+fJYNjBHZmObTe6ro/yTOXsYXbGb7TEVJ8+FllFAZhgIx+X0cjTRrZrysqCtorWXgvrWOpeEh5LEaEXi6vuBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:56:29.542426Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.09007","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a728ac0134e8815875dc064f90b60d43875faaf7bea3cfa40a422da86b3a84f","sha256:5c750ec471729b3892d2d7bc456683f815a41adfb9a81071e8f35edcd59ceb9c"],"state_sha256":"c928402e65ee436a21f78c6f068c2bd800affecfae7af1740085aaa63fdcda3d"}