{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RIKDHDCONYYCTWMVSUWPSLNOO5","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":"eed96f05ba48c69dc4b50ce8273f1c05fd736684d6d435455cd50af457276686","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-29T11:52:43Z","title_canon_sha256":"a75c0ca36e49e82be370713ae741fbcde51f419406da6e7e26547c3c607b4416"},"schema_version":"1.0","source":{"id":"2106.15281","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.15281","created_at":"2026-07-05T03:01:24Z"},{"alias_kind":"arxiv_version","alias_value":"2106.15281v2","created_at":"2026-07-05T03:01:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.15281","created_at":"2026-07-05T03:01:24Z"},{"alias_kind":"pith_short_12","alias_value":"RIKDHDCONYYC","created_at":"2026-07-05T03:01:24Z"},{"alias_kind":"pith_short_16","alias_value":"RIKDHDCONYYCTWMV","created_at":"2026-07-05T03:01:24Z"},{"alias_kind":"pith_short_8","alias_value":"RIKDHDCO","created_at":"2026-07-05T03:01:24Z"}],"graph_snapshots":[{"event_id":"sha256:ccaa867e435564370b335f71066c3f7ea28744194cbf7acbab5d0ffa4d40ffa1","target":"graph","created_at":"2026-07-05T03:01:24Z","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/2106.15281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one of the hardest ones is the aerospace, due to its peculiar physical requirements. In this context, a feasibility study and a first prototype for an Artificial Intelligence (AI) model to be deployed on board satellites are presented in this work. As a case study, the detection of volcanic eruptions has been investigated as a method to swiftly produce alerts and allow immediate interventions. Two Convolutional Neural Net","authors_text":"Alessandro Sebastianelli, Dario Spiller, Maria Pia Del Rosso, Pierre Philippe Mathieu, Silvia Liberata Ullo","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-29T11:52:43Z","title":"On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.15281","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:f09936b6732d53b7fdecea6d52ba2c6b33c6d09837a7e8b8f9af2cf84e0e2dea","target":"record","created_at":"2026-07-05T03:01:24Z","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":"eed96f05ba48c69dc4b50ce8273f1c05fd736684d6d435455cd50af457276686","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-29T11:52:43Z","title_canon_sha256":"a75c0ca36e49e82be370713ae741fbcde51f419406da6e7e26547c3c607b4416"},"schema_version":"1.0","source":{"id":"2106.15281","kind":"arxiv","version":2}},"canonical_sha256":"8a14338c4e6e3029d995952cf92dae7774b1693d7fe9f62a24a9947d6ad52b3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a14338c4e6e3029d995952cf92dae7774b1693d7fe9f62a24a9947d6ad52b3e","first_computed_at":"2026-07-05T03:01:24.622650Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:24.622650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ut74XIjHjCIU49ewu04FnQJh6fCnUcN4v9TnNq33QfJonFZNJR3+wpES0aBMeu2OsFa28C5A0HOjP2gqZAv6BA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:24.623073Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.15281","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f09936b6732d53b7fdecea6d52ba2c6b33c6d09837a7e8b8f9af2cf84e0e2dea","sha256:ccaa867e435564370b335f71066c3f7ea28744194cbf7acbab5d0ffa4d40ffa1"],"state_sha256":"dad2f6a4e5a7a82756e1c72178840d66996e3c425d56655e359704f28e4983ea"}