{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XOEPLDEHTGTHIAISFVJGILUJQK","short_pith_number":"pith:XOEPLDEH","canonical_record":{"source":{"id":"2407.19000","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-07-26T17:55:23Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"04a478f3290c0b5227d5981863fd62df0edc042d2d8b60a6ff11fe4d07f1d7ca","abstract_canon_sha256":"9bafd6c5661dc395eda1e727e1e6265fb44db53576a9a9a3cbfe2296b8ca3176"},"schema_version":"1.0"},"canonical_sha256":"bb88f58c8799a67401122d52642e8982bf5860245f5eda48f7bca461592a7fc2","source":{"kind":"arxiv","id":"2407.19000","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19000","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19000v2","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19000","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_12","alias_value":"XOEPLDEHTGTH","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_16","alias_value":"XOEPLDEHTGTHIAIS","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_8","alias_value":"XOEPLDEH","created_at":"2026-07-05T09:15:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XOEPLDEHTGTHIAISFVJGILUJQK","target":"record","payload":{"canonical_record":{"source":{"id":"2407.19000","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-07-26T17:55:23Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"04a478f3290c0b5227d5981863fd62df0edc042d2d8b60a6ff11fe4d07f1d7ca","abstract_canon_sha256":"9bafd6c5661dc395eda1e727e1e6265fb44db53576a9a9a3cbfe2296b8ca3176"},"schema_version":"1.0"},"canonical_sha256":"bb88f58c8799a67401122d52642e8982bf5860245f5eda48f7bca461592a7fc2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:15:35.351241Z","signature_b64":"OPwc/U1LkOEurW4L7myHRqXC9SYNkWFJtvN1mq0EwF/0eZd0OxOWzdGYkL8fVvy3I4p73gsG+z3ew3GZ/gldBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb88f58c8799a67401122d52642e8982bf5860245f5eda48f7bca461592a7fc2","last_reissued_at":"2026-07-05T09:15:35.350739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:15:35.350739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.19000","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:15:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S+hgLL7XTQ6JN1vSYDdISGXhc5QLzUwFhZVTs/en2DktADWLmmZhByttJCX7fs9J80jKeM4j/uVq2LM37+f0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:06:04.444515Z"},"content_sha256":"993b2a736dc5e1669952ef9d8c2e4a2926f450d872b472aa4bca810045b4212c","schema_version":"1.0","event_id":"sha256:993b2a736dc5e1669952ef9d8c2e4a2926f450d872b472aa4bca810045b4212c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XOEPLDEHTGTHIAISFVJGILUJQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","physics.comp-ph"],"primary_cat":"physics.flu-dyn","authors_text":"David Huergo, Eduardo Jan\\'e, Esteban Ferrer, Gonzalo Rubio, Mart\\'in de Frutos, Oscar A. Marino","submitted_at":"2024-07-26T17:55:23Z","abstract_excerpt":"We present a novel approach to automate and optimize anisotropic p-adaptation in high-order h/p solvers using Reinforcement Learning (RL). The dynamic RL adaptation uses the evolving solution to adjust the high-order polynomials. We develop an offline training approach, decoupled from the main solver, which shows minimal overcost when performing simulations. In addition, we derive an inexpensive RL-based error estimation approach that enables the quantification of local discretization errors. The proposed methodology is agnostic to both the computational mesh and the partial differential equat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19000","kind":"arxiv","version":2},"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/2407.19000/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:15:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHOmUsYwyv5obsXkr1VfwjPgQfU59R4lO7v4RmPISEVu4IXO1vkUwHf30EPyx3Jvd2ZE6AUtesWkhwWktOmBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:06:04.445168Z"},"content_sha256":"75992c3ace6f40eb0377884308317317e4e0d8ab0320c8a9f230c307cd96e0d5","schema_version":"1.0","event_id":"sha256:75992c3ace6f40eb0377884308317317e4e0d8ab0320c8a9f230c307cd96e0d5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOEPLDEHTGTHIAISFVJGILUJQK/bundle.json","state_url":"https://pith.science/pith/XOEPLDEHTGTHIAISFVJGILUJQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOEPLDEHTGTHIAISFVJGILUJQK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T19:06:04Z","links":{"resolver":"https://pith.science/pith/XOEPLDEHTGTHIAISFVJGILUJQK","bundle":"https://pith.science/pith/XOEPLDEHTGTHIAISFVJGILUJQK/bundle.json","state":"https://pith.science/pith/XOEPLDEHTGTHIAISFVJGILUJQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOEPLDEHTGTHIAISFVJGILUJQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XOEPLDEHTGTHIAISFVJGILUJQK","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":"9bafd6c5661dc395eda1e727e1e6265fb44db53576a9a9a3cbfe2296b8ca3176","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-07-26T17:55:23Z","title_canon_sha256":"04a478f3290c0b5227d5981863fd62df0edc042d2d8b60a6ff11fe4d07f1d7ca"},"schema_version":"1.0","source":{"id":"2407.19000","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19000","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19000v2","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19000","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_12","alias_value":"XOEPLDEHTGTH","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_16","alias_value":"XOEPLDEHTGTHIAIS","created_at":"2026-07-05T09:15:35Z"},{"alias_kind":"pith_short_8","alias_value":"XOEPLDEH","created_at":"2026-07-05T09:15:35Z"}],"graph_snapshots":[{"event_id":"sha256:75992c3ace6f40eb0377884308317317e4e0d8ab0320c8a9f230c307cd96e0d5","target":"graph","created_at":"2026-07-05T09:15:35Z","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/2407.19000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel approach to automate and optimize anisotropic p-adaptation in high-order h/p solvers using Reinforcement Learning (RL). The dynamic RL adaptation uses the evolving solution to adjust the high-order polynomials. We develop an offline training approach, decoupled from the main solver, which shows minimal overcost when performing simulations. In addition, we derive an inexpensive RL-based error estimation approach that enables the quantification of local discretization errors. The proposed methodology is agnostic to both the computational mesh and the partial differential equat","authors_text":"David Huergo, Eduardo Jan\\'e, Esteban Ferrer, Gonzalo Rubio, Mart\\'in de Frutos, Oscar A. Marino","cross_cats":["cs.LG","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-07-26T17:55:23Z","title":"Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19000","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":"sha256:993b2a736dc5e1669952ef9d8c2e4a2926f450d872b472aa4bca810045b4212c","target":"record","created_at":"2026-07-05T09:15:35Z","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":"9bafd6c5661dc395eda1e727e1e6265fb44db53576a9a9a3cbfe2296b8ca3176","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.flu-dyn","submitted_at":"2024-07-26T17:55:23Z","title_canon_sha256":"04a478f3290c0b5227d5981863fd62df0edc042d2d8b60a6ff11fe4d07f1d7ca"},"schema_version":"1.0","source":{"id":"2407.19000","kind":"arxiv","version":2}},"canonical_sha256":"bb88f58c8799a67401122d52642e8982bf5860245f5eda48f7bca461592a7fc2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb88f58c8799a67401122d52642e8982bf5860245f5eda48f7bca461592a7fc2","first_computed_at":"2026-07-05T09:15:35.350739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:35.350739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OPwc/U1LkOEurW4L7myHRqXC9SYNkWFJtvN1mq0EwF/0eZd0OxOWzdGYkL8fVvy3I4p73gsG+z3ew3GZ/gldBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:35.351241Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.19000","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:993b2a736dc5e1669952ef9d8c2e4a2926f450d872b472aa4bca810045b4212c","sha256:75992c3ace6f40eb0377884308317317e4e0d8ab0320c8a9f230c307cd96e0d5"],"state_sha256":"2263c51f8c8794b89233407b10420b682f7694dde1e07eda12eb8328aac11330"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WKBCvXdK6KmKpkReJMNUxcI/O79S37cEGwZtcMumPXXdHAtdFinBniLoEqHSr9IFZYutUdXfanlvWEJGMZ/xDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T19:06:04.450717Z","bundle_sha256":"fbf3557c133a93931a248759905b2189be46cd6c96909c05204603066d91ac69"}}