{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JDXMRPRKVUX5JF3PIEP75AZNKT","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":"17ae54261d42bac0ef4dbea5f946cd2d87ba31bd33537f9ed0aa4d9f26b4e86a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T00:38:41Z","title_canon_sha256":"4a72309882f2fe4f7118f35cc3b579544655a235be41a681bdb84c01ab2af6b9"},"schema_version":"1.0","source":{"id":"2506.06348","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06348","created_at":"2026-07-05T11:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06348v1","created_at":"2026-07-05T11:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06348","created_at":"2026-07-05T11:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"JDXMRPRKVUX5","created_at":"2026-07-05T11:17:48Z"},{"alias_kind":"pith_short_16","alias_value":"JDXMRPRKVUX5JF3P","created_at":"2026-07-05T11:17:48Z"},{"alias_kind":"pith_short_8","alias_value":"JDXMRPRK","created_at":"2026-07-05T11:17:48Z"}],"graph_snapshots":[{"event_id":"sha256:223bcf10c9d3672fbec5df8287f5dd0811a003c66617b3c5841228a1c0d341a1","target":"graph","created_at":"2026-07-05T11:17:48Z","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/2506.06348/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prioritizing methane for near-term climate action is crucial due to its significant impact on global warming. Previous work used columnwise matched filter products from the airborne AVIRIS-NG imaging spectrometer to detect methane plume sources; convolutional neural networks (CNNs) discerned anthropogenic methane plumes from false positive enhancements. However, as an increasing number of remote sensing platforms are used for methane plume detection, there is a growing need to address cross-platform alignment. In this work, we describe model- and data-driven machine learning approaches that le","authors_text":"Alana Ayasse, Andrew K. Thorpe, Brian Bue, Daniel Cusworth, Jake H. Lee, Philip G. Brodrick, Riley Duren, Vassiliki Mancoridis","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T00:38:41Z","title":"Multi-Platform Methane Plume Detection via Model and Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06348","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:f38d0013736d170cc1f2664be4ee45bc937344e3f0f90c91d8df74c9aba780c6","target":"record","created_at":"2026-07-05T11:17:48Z","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":"17ae54261d42bac0ef4dbea5f946cd2d87ba31bd33537f9ed0aa4d9f26b4e86a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T00:38:41Z","title_canon_sha256":"4a72309882f2fe4f7118f35cc3b579544655a235be41a681bdb84c01ab2af6b9"},"schema_version":"1.0","source":{"id":"2506.06348","kind":"arxiv","version":1}},"canonical_sha256":"48eec8be2aad2fd4976f411ffe832d54e97a3f7ad18f05953ffe1ff8007910e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48eec8be2aad2fd4976f411ffe832d54e97a3f7ad18f05953ffe1ff8007910e6","first_computed_at":"2026-07-05T11:17:48.591013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:48.591013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pv45fc7mjSEFieALhciegIF5mWVvCoEE4NlEh81j2Jltq/jklSadXvU2C+XaDOahUv1leuU/TnFDiP9OlLHwDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:48.591533Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06348","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f38d0013736d170cc1f2664be4ee45bc937344e3f0f90c91d8df74c9aba780c6","sha256:223bcf10c9d3672fbec5df8287f5dd0811a003c66617b3c5841228a1c0d341a1"],"state_sha256":"983104d4e23f6871ddaa76b0b5f735808e3d079d8c154b37ea831520923553d4"}