{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DF4N7HIZGDIMW5FVRNZQYSRVGC","short_pith_number":"pith:DF4N7HIZ","canonical_record":{"source":{"id":"2307.01479","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2023-07-04T05:13:28Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"fdfe642f1a482d632e54bae1085c373c4146e9731a8e4f599affe77fa5565641","abstract_canon_sha256":"d22bc206931fa69880b5c1487b3cf0c87522778e66a3f6297a313053de7028fa"},"schema_version":"1.0"},"canonical_sha256":"1978df9d1930d0cb74b58b730c4a3530b5d7883a5cf9de530cfc5879e8e45d2a","source":{"kind":"arxiv","id":"2307.01479","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.01479","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.01479v1","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01479","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_12","alias_value":"DF4N7HIZGDIM","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_16","alias_value":"DF4N7HIZGDIMW5FV","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_8","alias_value":"DF4N7HIZ","created_at":"2026-07-05T06:27:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DF4N7HIZGDIMW5FVRNZQYSRVGC","target":"record","payload":{"canonical_record":{"source":{"id":"2307.01479","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2023-07-04T05:13:28Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"fdfe642f1a482d632e54bae1085c373c4146e9731a8e4f599affe77fa5565641","abstract_canon_sha256":"d22bc206931fa69880b5c1487b3cf0c87522778e66a3f6297a313053de7028fa"},"schema_version":"1.0"},"canonical_sha256":"1978df9d1930d0cb74b58b730c4a3530b5d7883a5cf9de530cfc5879e8e45d2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:27:57.002431Z","signature_b64":"jzuCs07PgrePbm1KSpMn9CO21edjj9Y3OwM+tE1Sh4opQUB2jhXSrHvdvFGktD6NTOAMS48c3/rhM25ymh2aBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1978df9d1930d0cb74b58b730c4a3530b5d7883a5cf9de530cfc5879e8e45d2a","last_reissued_at":"2026-07-05T06:27:57.002022Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:27:57.002022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.01479","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":"2026-07-05T06:27:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DgdTBx7uKL2pEJ7irltYuLtozIrfkBNvo7ebpGDSAwH8s7B2G1gy46xm2W6gmsff2xIkZL0TG9IsuOSO0bsoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T19:45:32.327269Z"},"content_sha256":"d247e658ac758be1776a710174523cd10ec3691fd5a6422037b7d254addd2aaf","schema_version":"1.0","event_id":"sha256:d247e658ac758be1776a710174523cd10ec3691fd5a6422037b7d254addd2aaf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DF4N7HIZGDIMW5FVRNZQYSRVGC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NA"],"primary_cat":"math.NA","authors_text":"Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Cheng-Hau Yang, Claudio Canuto, Guglielmo Scovazzi, Kumar Saurabh","submitted_at":"2023-07-04T05:13:28Z","abstract_excerpt":"The accurate and efficient simulation of Partial Differential Equations (PDEs) in and around arbitrarily defined geometries is critical for many application domains. Immersed boundary methods (IBMs) alleviate the usually laborious and time-consuming process of creating body-fitted meshes around complex geometry models (described by CAD or other representations, e.g., STL, point clouds), especially when high levels of mesh adaptivity are required. In this work, we advance the field of IBM in the context of the recently developed Shifted Boundary Method (SBM). In the SBM, the location where boun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01479","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/2307.01479/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":"2026-07-05T06:27:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ae9DEfTIb9sjoWnOyOeZC2ZIG/PU73bkZxydVSjkU2lawJ4trXk+YxNSAeA7OcVqkuCPhFwN4hLB4vF/T/wjAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T19:45:32.327774Z"},"content_sha256":"951eb5478e1376295f85ce8684b7a239f7a9fe87844ed9bf26a105496472a238","schema_version":"1.0","event_id":"sha256:951eb5478e1376295f85ce8684b7a239f7a9fe87844ed9bf26a105496472a238"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/bundle.json","state_url":"https://pith.science/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/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":"2026-08-22T19:45:32Z","links":{"resolver":"https://pith.science/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC","bundle":"https://pith.science/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/bundle.json","state":"https://pith.science/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DF4N7HIZGDIMW5FVRNZQYSRVGC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DF4N7HIZGDIMW5FVRNZQYSRVGC","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":"d22bc206931fa69880b5c1487b3cf0c87522778e66a3f6297a313053de7028fa","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2023-07-04T05:13:28Z","title_canon_sha256":"fdfe642f1a482d632e54bae1085c373c4146e9731a8e4f599affe77fa5565641"},"schema_version":"1.0","source":{"id":"2307.01479","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.01479","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.01479v1","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01479","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_12","alias_value":"DF4N7HIZGDIM","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_16","alias_value":"DF4N7HIZGDIMW5FV","created_at":"2026-07-05T06:27:57Z"},{"alias_kind":"pith_short_8","alias_value":"DF4N7HIZ","created_at":"2026-07-05T06:27:57Z"}],"graph_snapshots":[{"event_id":"sha256:951eb5478e1376295f85ce8684b7a239f7a9fe87844ed9bf26a105496472a238","target":"graph","created_at":"2026-07-05T06:27:57Z","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/2307.01479/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accurate and efficient simulation of Partial Differential Equations (PDEs) in and around arbitrarily defined geometries is critical for many application domains. Immersed boundary methods (IBMs) alleviate the usually laborious and time-consuming process of creating body-fitted meshes around complex geometry models (described by CAD or other representations, e.g., STL, point clouds), especially when high levels of mesh adaptivity are required. In this work, we advance the field of IBM in the context of the recently developed Shifted Boundary Method (SBM). In the SBM, the location where boun","authors_text":"Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Cheng-Hau Yang, Claudio Canuto, Guglielmo Scovazzi, Kumar Saurabh","cross_cats":["cs.NA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2023-07-04T05:13:28Z","title":"Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01479","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:d247e658ac758be1776a710174523cd10ec3691fd5a6422037b7d254addd2aaf","target":"record","created_at":"2026-07-05T06:27:57Z","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":"d22bc206931fa69880b5c1487b3cf0c87522778e66a3f6297a313053de7028fa","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2023-07-04T05:13:28Z","title_canon_sha256":"fdfe642f1a482d632e54bae1085c373c4146e9731a8e4f599affe77fa5565641"},"schema_version":"1.0","source":{"id":"2307.01479","kind":"arxiv","version":1}},"canonical_sha256":"1978df9d1930d0cb74b58b730c4a3530b5d7883a5cf9de530cfc5879e8e45d2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1978df9d1930d0cb74b58b730c4a3530b5d7883a5cf9de530cfc5879e8e45d2a","first_computed_at":"2026-07-05T06:27:57.002022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:27:57.002022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jzuCs07PgrePbm1KSpMn9CO21edjj9Y3OwM+tE1Sh4opQUB2jhXSrHvdvFGktD6NTOAMS48c3/rhM25ymh2aBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:27:57.002431Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.01479","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d247e658ac758be1776a710174523cd10ec3691fd5a6422037b7d254addd2aaf","sha256:951eb5478e1376295f85ce8684b7a239f7a9fe87844ed9bf26a105496472a238"],"state_sha256":"6a02135d105a92c734288f76db48400497e10d4dddcc30501fb67884ae896cf7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OG0yFg8srGk9h6f64H9ttsOMdrPfee7FFq/rNYJK1+6VB+Q+lEMGEN5s1wMekBao3vaGKcaAoudNTH3eNO2cCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T19:45:32.331759Z","bundle_sha256":"22a2cbcbb70eb2a076173bcacb191965478e003b468a8ae718df75c6f49ac9dc"}}