{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MWVK5YUOQJOMPQRH3DYKNRG4UB","short_pith_number":"pith:MWVK5YUO","schema_version":"1.0","canonical_sha256":"65aaaee28e825cc7c227d8f0a6c4dca0690ce8b2a53c832efe7730df4e7cd8ae","source":{"kind":"arxiv","id":"2504.17710","version":1},"attestation_state":"computed","paper":{"title":"Plasma State Monitoring and Disruption Characterization using Multimodal VAEs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"physics.plasm-ph","authors_text":"Alessandro Pau, Christian Donner, Cristina Venturini, Giulio Romanelli, Olivier Sauter, The TCV Team, the WPTE team, Vlado Menkovski, Yoeri Poels","submitted_at":"2025-04-24T16:14:16Z","abstract_excerpt":"When a plasma disrupts in a tokamak, significant heat and electromagnetic loads are deposited onto the surrounding device components. These forces scale with plasma current and magnetic field strength, making disruptions one of the key challenges for future devices. Unfortunately, disruptions are not fully understood, with many different underlying causes that are difficult to anticipate. Data-driven models have shown success in predicting them, but they only provide limited interpretability. On the other hand, large-scale statistical analyses have been a great asset to understanding disruptiv"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.17710","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.plasm-ph","submitted_at":"2025-04-24T16:14:16Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d606fd9af64e8e9abcc8804cfcca4e78827c0fa3a19e55ed4c843f60163a51f7","abstract_canon_sha256":"c3287e1307437dfc40ef230dfdc9b02202695676e3ac3ef58519694e21712ea0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:39.654285Z","signature_b64":"+mpYaRnq2kutZ8aZb+x5BU1XaY9bPTIOcqaKuoIFVpQbEv5M5t5eCFS2N8GnDYSBvg0hn9oXPFuk/MExr5cIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"65aaaee28e825cc7c227d8f0a6c4dca0690ce8b2a53c832efe7730df4e7cd8ae","last_reissued_at":"2026-07-05T10:53:39.653825Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:39.653825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Plasma State Monitoring and Disruption Characterization using Multimodal VAEs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"physics.plasm-ph","authors_text":"Alessandro Pau, Christian Donner, Cristina Venturini, Giulio Romanelli, Olivier Sauter, The TCV Team, the WPTE team, Vlado Menkovski, Yoeri Poels","submitted_at":"2025-04-24T16:14:16Z","abstract_excerpt":"When a plasma disrupts in a tokamak, significant heat and electromagnetic loads are deposited onto the surrounding device components. These forces scale with plasma current and magnetic field strength, making disruptions one of the key challenges for future devices. Unfortunately, disruptions are not fully understood, with many different underlying causes that are difficult to anticipate. Data-driven models have shown success in predicting them, but they only provide limited interpretability. On the other hand, large-scale statistical analyses have been a great asset to understanding disruptiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17710","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/2504.17710/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.17710","created_at":"2026-07-05T10:53:39.653885+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.17710v1","created_at":"2026-07-05T10:53:39.653885+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17710","created_at":"2026-07-05T10:53:39.653885+00:00"},{"alias_kind":"pith_short_12","alias_value":"MWVK5YUOQJOM","created_at":"2026-07-05T10:53:39.653885+00:00"},{"alias_kind":"pith_short_16","alias_value":"MWVK5YUOQJOMPQRH","created_at":"2026-07-05T10:53:39.653885+00:00"},{"alias_kind":"pith_short_8","alias_value":"MWVK5YUO","created_at":"2026-07-05T10:53:39.653885+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB","json":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB.json","graph_json":"https://pith.science/api/pith-number/MWVK5YUOQJOMPQRH3DYKNRG4UB/graph.json","events_json":"https://pith.science/api/pith-number/MWVK5YUOQJOMPQRH3DYKNRG4UB/events.json","paper":"https://pith.science/paper/MWVK5YUO"},"agent_actions":{"view_html":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB","download_json":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB.json","view_paper":"https://pith.science/paper/MWVK5YUO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.17710&json=true","fetch_graph":"https://pith.science/api/pith-number/MWVK5YUOQJOMPQRH3DYKNRG4UB/graph.json","fetch_events":"https://pith.science/api/pith-number/MWVK5YUOQJOMPQRH3DYKNRG4UB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB/action/storage_attestation","attest_author":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB/action/author_attestation","sign_citation":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB/action/citation_signature","submit_replication":"https://pith.science/pith/MWVK5YUOQJOMPQRH3DYKNRG4UB/action/replication_record"}},"created_at":"2026-07-05T10:53:39.653885+00:00","updated_at":"2026-07-05T10:53:39.653885+00:00"}