{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UXUUYGSQH4IYKYXY2CHLFAKOIM","short_pith_number":"pith:UXUUYGSQ","canonical_record":{"source":{"id":"2403.08695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T16:58:37Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"6eccc64e030dce705e12a86d970b894df99370d397f4dfaf4a8694a818a49d79","abstract_canon_sha256":"7e733c2b6485dc3e57e8b2931c28bfd22969e7794f1056da3c3644bda378ab02"},"schema_version":"1.0"},"canonical_sha256":"a5e94c1a503f118562f8d08eb2814e4333ecff9ce8ff3323337014c9a84fb29e","source":{"kind":"arxiv","id":"2403.08695","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08695","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08695v1","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08695","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"UXUUYGSQH4IY","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_16","alias_value":"UXUUYGSQH4IYKYXY","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_8","alias_value":"UXUUYGSQ","created_at":"2026-07-05T07:55:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UXUUYGSQH4IYKYXY2CHLFAKOIM","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T16:58:37Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"6eccc64e030dce705e12a86d970b894df99370d397f4dfaf4a8694a818a49d79","abstract_canon_sha256":"7e733c2b6485dc3e57e8b2931c28bfd22969e7794f1056da3c3644bda378ab02"},"schema_version":"1.0"},"canonical_sha256":"a5e94c1a503f118562f8d08eb2814e4333ecff9ce8ff3323337014c9a84fb29e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:55:42.540930Z","signature_b64":"W8MruNMibbTFqrEaHsfGubJaLraJtdbHLkZ+tKMnlszCpOUWv8+iclojV2I3RuBqdyPkLOX/jt0uKwxpCJBvBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5e94c1a503f118562f8d08eb2814e4333ecff9ce8ff3323337014c9a84fb29e","last_reissued_at":"2026-07-05T07:55:42.540488Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:55:42.540488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08695","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":"2026-07-05T07:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UYNnC1Sqs40Uke30YY/0w3E7nW4un/HRKvVgwIm0s1/3/euC9Q7wZOnqOz7MPpHi1pFMtbs6WqPlAZ44ArOdDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:39:53.883423Z"},"content_sha256":"1e34580d0f53c4bd8f6ca108854f285cb707a886b8dde75a2e5f51521e0cde89","schema_version":"1.0","event_id":"sha256:1e34580d0f53c4bd8f6ca108854f285cb707a886b8dde75a2e5f51521e0cde89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UXUUYGSQH4IYKYXY2CHLFAKOIM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Daniel Kovac, Jan Knezik, Jan Mucha, Jiri Mekyska, Jon Alvarez Justo, Jonas Herec, Krystof Novotny, Radoslav Pitonak, Tor Arne Johansen, Zoltan Galaz","submitted_at":"2024-03-13T16:58:37Z","abstract_excerpt":"This article explores the latest Convolutional Neural Networks (CNNs) for cloud detection aboard hyperspectral satellites. The performance of the latest 1D CNN (1D-Justo-LiuNet) and two recent 2D CNNs (nnU-net and 2D-Justo-UNet-Simple) for cloud segmentation and classification is assessed. Evaluation criteria include precision and computational efficiency for in-orbit deployment. Experiments utilize NASA's EO-1 Hyperion data, with varying spectral channel numbers after Principal Component Analysis. Results indicate that 1D-Justo-LiuNet achieves the highest accuracy, outperforming 2D CNNs, whil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08695","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/2403.08695/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":"2026-07-05T07:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iHqM4Camqa9vkRiLYXoKZfwCYa/G9nRAxTKwCsPF7k8RP8TUht9DBakU+bw9E0z+e01LIXXrTgvGpTky+t/sAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T12:39:53.884373Z"},"content_sha256":"18caa9aa55ef63a006d3235b1672ec1f3f85daf4e548d79b4b8dc77bba37c221","schema_version":"1.0","event_id":"sha256:18caa9aa55ef63a006d3235b1672ec1f3f85daf4e548d79b4b8dc77bba37c221"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/bundle.json","state_url":"https://pith.science/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/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":"2026-08-13T12:39:53Z","links":{"resolver":"https://pith.science/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM","bundle":"https://pith.science/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/bundle.json","state":"https://pith.science/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UXUUYGSQH4IYKYXY2CHLFAKOIM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UXUUYGSQH4IYKYXY2CHLFAKOIM","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":"7e733c2b6485dc3e57e8b2931c28bfd22969e7794f1056da3c3644bda378ab02","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T16:58:37Z","title_canon_sha256":"6eccc64e030dce705e12a86d970b894df99370d397f4dfaf4a8694a818a49d79"},"schema_version":"1.0","source":{"id":"2403.08695","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08695","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08695v1","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08695","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"UXUUYGSQH4IY","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_16","alias_value":"UXUUYGSQH4IYKYXY","created_at":"2026-07-05T07:55:42Z"},{"alias_kind":"pith_short_8","alias_value":"UXUUYGSQ","created_at":"2026-07-05T07:55:42Z"}],"graph_snapshots":[{"event_id":"sha256:18caa9aa55ef63a006d3235b1672ec1f3f85daf4e548d79b4b8dc77bba37c221","target":"graph","created_at":"2026-07-05T07:55:42Z","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/2403.08695/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This article explores the latest Convolutional Neural Networks (CNNs) for cloud detection aboard hyperspectral satellites. The performance of the latest 1D CNN (1D-Justo-LiuNet) and two recent 2D CNNs (nnU-net and 2D-Justo-UNet-Simple) for cloud segmentation and classification is assessed. Evaluation criteria include precision and computational efficiency for in-orbit deployment. Experiments utilize NASA's EO-1 Hyperion data, with varying spectral channel numbers after Principal Component Analysis. Results indicate that 1D-Justo-LiuNet achieves the highest accuracy, outperforming 2D CNNs, whil","authors_text":"Daniel Kovac, Jan Knezik, Jan Mucha, Jiri Mekyska, Jon Alvarez Justo, Jonas Herec, Krystof Novotny, Radoslav Pitonak, Tor Arne Johansen, Zoltan Galaz","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T16:58:37Z","title":"Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08695","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":"sha256:1e34580d0f53c4bd8f6ca108854f285cb707a886b8dde75a2e5f51521e0cde89","target":"record","created_at":"2026-07-05T07:55:42Z","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":"7e733c2b6485dc3e57e8b2931c28bfd22969e7794f1056da3c3644bda378ab02","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T16:58:37Z","title_canon_sha256":"6eccc64e030dce705e12a86d970b894df99370d397f4dfaf4a8694a818a49d79"},"schema_version":"1.0","source":{"id":"2403.08695","kind":"arxiv","version":1}},"canonical_sha256":"a5e94c1a503f118562f8d08eb2814e4333ecff9ce8ff3323337014c9a84fb29e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5e94c1a503f118562f8d08eb2814e4333ecff9ce8ff3323337014c9a84fb29e","first_computed_at":"2026-07-05T07:55:42.540488Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:42.540488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W8MruNMibbTFqrEaHsfGubJaLraJtdbHLkZ+tKMnlszCpOUWv8+iclojV2I3RuBqdyPkLOX/jt0uKwxpCJBvBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:42.540930Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08695","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e34580d0f53c4bd8f6ca108854f285cb707a886b8dde75a2e5f51521e0cde89","sha256:18caa9aa55ef63a006d3235b1672ec1f3f85daf4e548d79b4b8dc77bba37c221"],"state_sha256":"c27a83918f60ab12e34e5a327a38b3980756c3d38c6c7e5ccd4c9b1a8b7332da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uB+kDjgiSIeCToiOdXnHKKFJCgtAipzICpB1Qg5woRvXsb65530aLSizWhZnvm5Gy2rEJtRn1Hpxu82+TalwBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T12:39:53.902541Z","bundle_sha256":"5bd484be7d1ceab34f5d341ffc94bb8cb432dbb4c5637d5b0dad156b6770cd49"}}