{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6ZQNXVQMVVIRLJFKGNN6PACRBG","short_pith_number":"pith:6ZQNXVQM","canonical_record":{"source":{"id":"1805.01113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-05-03T04:53:16Z","cross_cats_sorted":[],"title_canon_sha256":"60c38946ce065ab1e071306137f9d44b9192c4f28b6a8af7ab14552ede590894","abstract_canon_sha256":"f6fc3ccb6fb0b23d4c8cf61d42c53dd9f642cc9fe7ec3c1357e2bc9674aa32b3"},"schema_version":"1.0"},"canonical_sha256":"f660dbd60cad5115a4aa335be7805109b4724d2e1d03ec37b3f0e7ad6029b6c6","source":{"kind":"arxiv","id":"1805.01113","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01113","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01113v1","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01113","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"6ZQNXVQMVVIR","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6ZQNXVQMVVIRLJFK","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6ZQNXVQM","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6ZQNXVQMVVIRLJFKGNN6PACRBG","target":"record","payload":{"canonical_record":{"source":{"id":"1805.01113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-05-03T04:53:16Z","cross_cats_sorted":[],"title_canon_sha256":"60c38946ce065ab1e071306137f9d44b9192c4f28b6a8af7ab14552ede590894","abstract_canon_sha256":"f6fc3ccb6fb0b23d4c8cf61d42c53dd9f642cc9fe7ec3c1357e2bc9674aa32b3"},"schema_version":"1.0"},"canonical_sha256":"f660dbd60cad5115a4aa335be7805109b4724d2e1d03ec37b3f0e7ad6029b6c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:58.627902Z","signature_b64":"KkGOwVeFJtvhJ1nfXUcmm0hXxj77HJrCv9dcFZXEeQiNlPZF8EDltP3v03hZQA+CPdn0qZZ0KvZ2ErrCOo8yAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f660dbd60cad5115a4aa335be7805109b4724d2e1d03ec37b3f0e7ad6029b6c6","last_reissued_at":"2026-05-18T00:04:58.627427Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:58.627427Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.01113","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SQI63kH2gxbJu5gi0jEgp4CV6wsvfHnV9vIuMjfBnjYzR6ED1guLph6A5cZdPrUylKVuM94AZFRB3U1japQpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T03:23:40.521135Z"},"content_sha256":"c7fe104a92006768b84287737ab8e94846553618927ff337679d805253a3a212","schema_version":"1.0","event_id":"sha256:c7fe104a92006768b84287737ab8e94846553618927ff337679d805253a3a212"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6ZQNXVQMVVIRLJFKGNN6PACRBG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A fast moving least squares approximation with adaptive Lagrangian mesh refinement for large scale immersed boundary simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.comp-ph","authors_text":"Detlef Lohse, Marco D. de Tullio, Roberto Verzicco, Vamsi Spandan","submitted_at":"2018-05-03T04:53:16Z","abstract_excerpt":"In this paper we propose and test the validity of simple and easy-to-implement algorithms within the immersed boundary framework geared towards large scale simulations involving thousands of deformable bodies in highly turbulent flows. First, we introduce a fast moving least squares (fast-MLS) approximation technique with which we speed up the process of building transfer functions during the simulations which leads to considerable reductions in computational time. We compare the accuracy of the fast-MLS against the exact moving least squares (MLS) for the standard problem of uniform flow over"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01113","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":""},"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":"2026-05-18T00:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WA7mbvRJtNCwlNWVbpA0Qt7+feZmIfXo5xjegN9cuHFr+NSI4he28w9ab8bLitHqsBUU+UiwOk0lU2GJ7beFBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T03:23:40.521782Z"},"content_sha256":"b43a50a25d150af26fd7242c9c8166c2ab3e12293d818495f011c9bfa38696a4","schema_version":"1.0","event_id":"sha256:b43a50a25d150af26fd7242c9c8166c2ab3e12293d818495f011c9bfa38696a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/bundle.json","state_url":"https://pith.science/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/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":"2026-05-27T03:23:40Z","links":{"resolver":"https://pith.science/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG","bundle":"https://pith.science/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/bundle.json","state":"https://pith.science/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6ZQNXVQMVVIRLJFKGNN6PACRBG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6ZQNXVQMVVIRLJFKGNN6PACRBG","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":"f6fc3ccb6fb0b23d4c8cf61d42c53dd9f642cc9fe7ec3c1357e2bc9674aa32b3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-05-03T04:53:16Z","title_canon_sha256":"60c38946ce065ab1e071306137f9d44b9192c4f28b6a8af7ab14552ede590894"},"schema_version":"1.0","source":{"id":"1805.01113","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.01113","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"1805.01113v1","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01113","created_at":"2026-05-18T00:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"6ZQNXVQMVVIR","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6ZQNXVQMVVIRLJFK","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6ZQNXVQM","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:b43a50a25d150af26fd7242c9c8166c2ab3e12293d818495f011c9bfa38696a4","target":"graph","created_at":"2026-05-18T00:04:58Z","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"},"paper":{"abstract_excerpt":"In this paper we propose and test the validity of simple and easy-to-implement algorithms within the immersed boundary framework geared towards large scale simulations involving thousands of deformable bodies in highly turbulent flows. First, we introduce a fast moving least squares (fast-MLS) approximation technique with which we speed up the process of building transfer functions during the simulations which leads to considerable reductions in computational time. We compare the accuracy of the fast-MLS against the exact moving least squares (MLS) for the standard problem of uniform flow over","authors_text":"Detlef Lohse, Marco D. de Tullio, Roberto Verzicco, Vamsi Spandan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-05-03T04:53:16Z","title":"A fast moving least squares approximation with adaptive Lagrangian mesh refinement for large scale immersed boundary simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01113","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:c7fe104a92006768b84287737ab8e94846553618927ff337679d805253a3a212","target":"record","created_at":"2026-05-18T00:04:58Z","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":"f6fc3ccb6fb0b23d4c8cf61d42c53dd9f642cc9fe7ec3c1357e2bc9674aa32b3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2018-05-03T04:53:16Z","title_canon_sha256":"60c38946ce065ab1e071306137f9d44b9192c4f28b6a8af7ab14552ede590894"},"schema_version":"1.0","source":{"id":"1805.01113","kind":"arxiv","version":1}},"canonical_sha256":"f660dbd60cad5115a4aa335be7805109b4724d2e1d03ec37b3f0e7ad6029b6c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f660dbd60cad5115a4aa335be7805109b4724d2e1d03ec37b3f0e7ad6029b6c6","first_computed_at":"2026-05-18T00:04:58.627427Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:58.627427Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KkGOwVeFJtvhJ1nfXUcmm0hXxj77HJrCv9dcFZXEeQiNlPZF8EDltP3v03hZQA+CPdn0qZZ0KvZ2ErrCOo8yAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:58.627902Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.01113","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7fe104a92006768b84287737ab8e94846553618927ff337679d805253a3a212","sha256:b43a50a25d150af26fd7242c9c8166c2ab3e12293d818495f011c9bfa38696a4"],"state_sha256":"b8925573b6e8ae35a05f46d1cb67566a56d7e09349ff4a9422bf2835f6d93108"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CjSBUpJGpUu1XW/g/1m6T3XmxbPuM6IUWhoo5GJyaGUhPksi/kIyE8DtDiUlVfYBb35UlxNPMHE4LTN4SO+ZBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T03:23:40.525207Z","bundle_sha256":"c3483d4a9bdb9276c6ad95335f4be81e651d32ade1709c1aa0f9c8a29d6cfd3b"}}