{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:KEPZJ7W32BRX5H2QFIGIJ54E64","short_pith_number":"pith:KEPZJ7W3","schema_version":"1.0","canonical_sha256":"511f94fedbd0637e9f502a0c84f784f72bb6244c0203829edd64da312e3d6bf3","source":{"kind":"arxiv","id":"2103.01305","version":1},"attestation_state":"computed","paper":{"title":"Quantifying experimental edge plasma evolution via multidimensional adaptive Gaussian process regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.plasm-ph","authors_text":"Abhilash Mathews, Jerry Hughes","submitted_at":"2021-03-01T20:51:35Z","abstract_excerpt":"The edge density and temperature of tokamak plasmas are strongly correlated with energy and particle confinement and their quantification is fundamental to understanding edge dynamics. These quantities exhibit behaviours ranging from sharp plasma gradients and fast transient phenomena (e.g. transitions between low and high confinement regimes) to nominal stationary phases. Analysis of experimental edge measurements therefore require robust fitting techniques to capture potentially stiff spatiotemporal evolution. Additionally, fusion plasma diagnostics inevitably involve measurement errors and "},"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":"2103.01305","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.plasm-ph","submitted_at":"2021-03-01T20:51:35Z","cross_cats_sorted":[],"title_canon_sha256":"2210218c51e0ea87fe2c4fbd4f6251a2b166acfcea0b78ea1b202b661be6f854","abstract_canon_sha256":"f272075786abb660fd4ee661077a4332df6a53b109e82bcd474f404ebc0ff7b4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:45:27.724827Z","signature_b64":"a35tkQVQZbdvFXdRASs6/5RFwVIHpIu5SMhoTOZ0e1Baf2hqRgLz5vEYH/DCHg9M1lxpbuWB7P71iqDFUEAMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"511f94fedbd0637e9f502a0c84f784f72bb6244c0203829edd64da312e3d6bf3","last_reissued_at":"2026-07-05T03:45:27.724382Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:45:27.724382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantifying experimental edge plasma evolution via multidimensional adaptive Gaussian process regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.plasm-ph","authors_text":"Abhilash Mathews, Jerry Hughes","submitted_at":"2021-03-01T20:51:35Z","abstract_excerpt":"The edge density and temperature of tokamak plasmas are strongly correlated with energy and particle confinement and their quantification is fundamental to understanding edge dynamics. These quantities exhibit behaviours ranging from sharp plasma gradients and fast transient phenomena (e.g. transitions between low and high confinement regimes) to nominal stationary phases. Analysis of experimental edge measurements therefore require robust fitting techniques to capture potentially stiff spatiotemporal evolution. Additionally, fusion plasma diagnostics inevitably involve measurement errors and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.01305","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/2103.01305/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":"2103.01305","created_at":"2026-07-05T03:45:27.724439+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.01305v1","created_at":"2026-07-05T03:45:27.724439+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.01305","created_at":"2026-07-05T03:45:27.724439+00:00"},{"alias_kind":"pith_short_12","alias_value":"KEPZJ7W32BRX","created_at":"2026-07-05T03:45:27.724439+00:00"},{"alias_kind":"pith_short_16","alias_value":"KEPZJ7W32BRX5H2Q","created_at":"2026-07-05T03:45:27.724439+00:00"},{"alias_kind":"pith_short_8","alias_value":"KEPZJ7W3","created_at":"2026-07-05T03:45:27.724439+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/KEPZJ7W32BRX5H2QFIGIJ54E64","json":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64.json","graph_json":"https://pith.science/api/pith-number/KEPZJ7W32BRX5H2QFIGIJ54E64/graph.json","events_json":"https://pith.science/api/pith-number/KEPZJ7W32BRX5H2QFIGIJ54E64/events.json","paper":"https://pith.science/paper/KEPZJ7W3"},"agent_actions":{"view_html":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64","download_json":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64.json","view_paper":"https://pith.science/paper/KEPZJ7W3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.01305&json=true","fetch_graph":"https://pith.science/api/pith-number/KEPZJ7W32BRX5H2QFIGIJ54E64/graph.json","fetch_events":"https://pith.science/api/pith-number/KEPZJ7W32BRX5H2QFIGIJ54E64/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64/action/storage_attestation","attest_author":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64/action/author_attestation","sign_citation":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64/action/citation_signature","submit_replication":"https://pith.science/pith/KEPZJ7W32BRX5H2QFIGIJ54E64/action/replication_record"}},"created_at":"2026-07-05T03:45:27.724439+00:00","updated_at":"2026-07-05T03:45:27.724439+00:00"}