{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VM52VK23Q7O7TBTHWLSHM75ZCO","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":"fd9edd4e1edc22a15b1b0486b5a8b78381b96fbe5debb63047cc7f09d75b76fa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T17:36:05Z","title_canon_sha256":"f59bad24d655aa5f918d1b20cd00d2237b92f405708fc1d3b01dc0e6b0c00a3f"},"schema_version":"1.0","source":{"id":"2211.15429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.15429","created_at":"2026-07-05T05:20:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.15429v1","created_at":"2026-07-05T05:20:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15429","created_at":"2026-07-05T05:20:03Z"},{"alias_kind":"pith_short_12","alias_value":"VM52VK23Q7O7","created_at":"2026-07-05T05:20:03Z"},{"alias_kind":"pith_short_16","alias_value":"VM52VK23Q7O7TBTH","created_at":"2026-07-05T05:20:03Z"},{"alias_kind":"pith_short_8","alias_value":"VM52VK23","created_at":"2026-07-05T05:20:03Z"}],"graph_snapshots":[{"event_id":"sha256:22df15b5528e97eae5a4c80717582dfd26e72b13bfad8149ed94d4dc0021e902","target":"graph","created_at":"2026-07-05T05:20:03Z","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/2211.15429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The new generation of hyperspectral imagers, such as PRISMA, has improved significantly our detection capability of methane (CH4) plumes from space at high spatial resolution (30m). We present here a complete framework to identify CH4 plumes using images from the PRISMA satellite mission and a deep learning model able to detect plumes over large areas. To compensate for the relative scarcity of PRISMA images, we trained our model by transposing high resolution plumes from Sentinel-2 to PRISMA. Our methodology thus avoids computationally expensive synthetic plume generation from Large Eddy Simu","authors_text":"Alexandre d'Aspremont, Alexis Groshenry, Clement Giron, Thibaud Ehret, Thomas Lauvaux","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T17:36:05Z","title":"Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15429","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:c9be2c7b21bf50f21f08d98656d8f0debd588d9375bb946526c052e1f4f317e8","target":"record","created_at":"2026-07-05T05:20:03Z","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":"fd9edd4e1edc22a15b1b0486b5a8b78381b96fbe5debb63047cc7f09d75b76fa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T17:36:05Z","title_canon_sha256":"f59bad24d655aa5f918d1b20cd00d2237b92f405708fc1d3b01dc0e6b0c00a3f"},"schema_version":"1.0","source":{"id":"2211.15429","kind":"arxiv","version":1}},"canonical_sha256":"ab3baaab5b87ddf98667b2e4767fb9138d3fbffbe1a946c0dd03ee0c060a82bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab3baaab5b87ddf98667b2e4767fb9138d3fbffbe1a946c0dd03ee0c060a82bb","first_computed_at":"2026-07-05T05:20:03.667341Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:20:03.667341Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GygSVJSA9uoD3f0Nl/yLbtp9gbcPD1EBAe+/wnZl9xUKK73bWp70QRQ3FRRvpvFAqxEpN+GTxTu0x9kV8C/sBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:20:03.667834Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.15429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9be2c7b21bf50f21f08d98656d8f0debd588d9375bb946526c052e1f4f317e8","sha256:22df15b5528e97eae5a4c80717582dfd26e72b13bfad8149ed94d4dc0021e902"],"state_sha256":"2d46f8abf649ae2f2ddb729435c11adc074e50bf02ea569497399492361e0216"}