{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:IQ3JKUH4MMKHAQAF43DETAF3VC","short_pith_number":"pith:IQ3JKUH4","canonical_record":{"source":{"id":"2605.25640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-25T09:42:27Z","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex"],"title_canon_sha256":"e3a922ae328117951bd40d580bc801a8be058d492c4ce648d7ba06ce59fc76b4","abstract_canon_sha256":"a6c742de935bc5e1bcf7ff4d4bb84edf4d3970de0a0170301754746bc64eee2c"},"schema_version":"1.0"},"canonical_sha256":"44369550fc6314704005e6c64980bba8931fd1880a56cb114462b57d59c0e861","source":{"kind":"arxiv","id":"2605.25640","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25640","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25640v1","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25640","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"IQ3JKUH4MMKH","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"IQ3JKUH4MMKHAQAF","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"IQ3JKUH4","created_at":"2026-05-26T02:04:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:IQ3JKUH4MMKHAQAF43DETAF3VC","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-25T09:42:27Z","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex"],"title_canon_sha256":"e3a922ae328117951bd40d580bc801a8be058d492c4ce648d7ba06ce59fc76b4","abstract_canon_sha256":"a6c742de935bc5e1bcf7ff4d4bb84edf4d3970de0a0170301754746bc64eee2c"},"schema_version":"1.0"},"canonical_sha256":"44369550fc6314704005e6c64980bba8931fd1880a56cb114462b57d59c0e861","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:47.782384Z","signature_b64":"DzAnpuw/AHEO4yx1dt+7vXdHHavpPE+AS5eIH/LFbVDgJv8gnDk9lxYm3isGtIGqaMYWzjKLYnBlzM2tR5NMDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44369550fc6314704005e6c64980bba8931fd1880a56cb114462b57d59c0e861","last_reissued_at":"2026-05-26T02:04:47.781751Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:47.781751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25640","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":"2026-05-26T02:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aHPCNf+lTHn/f7+VhbCYR4xsPEFCNnjZXy3llTdNsVG+i2Q8wEOs7Y93R1oW1+8TX/N6UQx5TJmWbb3NrgNtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T03:03:38.005433Z"},"content_sha256":"8696473b4cec6530a2a8fb87d5c7eebe4476fe5ad92c354244a1376627db29f1","schema_version":"1.0","event_id":"sha256:8696473b4cec6530a2a8fb87d5c7eebe4476fe5ad92c354244a1376627db29f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:IQ3JKUH4MMKHAQAF43DETAF3VC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","hep-ex","nucl-ex"],"primary_cat":"physics.ins-det","authors_text":"Bingzhi Li, Haohan Yu, Liang Li, Xiang Chen, Zejia Lu, Zhanxu Hao","submitted_at":"2026-05-25T09:42:27Z","abstract_excerpt":"Accurate reconstruction of magnetic fields in inaccessible regions is vital for many high-precision experiments in physics. Traditional methods, such as spherical harmonic expansion, often suffer from truncation errors that limit their precision. This study proposes an advanced Physics-Informed Neural Network (PINN) framework for high-precision 3D magnetic field mapping. Unlike conventional data-driven models, the proposed PINN integrates Maxwell's equations directly into the loss function, enforcing divergence-free and curl-free conditions across the entire domain. A key innovation is the inc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25640","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/2605.25640/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":"2026-05-26T02:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ECHifLHhqF1NTOZrZ5Mor847GjYfaFF2MBxZi7buhV8DwFDm4gUcMGmvk9uqW73JnyGupvQ8mw8p/tXr+OHUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T03:03:38.005815Z"},"content_sha256":"704890b0c78293412450f17337ecfbaebeb1fb413263dea68fcf1d3be75c8fbc","schema_version":"1.0","event_id":"sha256:704890b0c78293412450f17337ecfbaebeb1fb413263dea68fcf1d3be75c8fbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/bundle.json","state_url":"https://pith.science/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/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":"2026-06-30T03:03:38Z","links":{"resolver":"https://pith.science/pith/IQ3JKUH4MMKHAQAF43DETAF3VC","bundle":"https://pith.science/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/bundle.json","state":"https://pith.science/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IQ3JKUH4MMKHAQAF43DETAF3VC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IQ3JKUH4MMKHAQAF43DETAF3VC","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":"a6c742de935bc5e1bcf7ff4d4bb84edf4d3970de0a0170301754746bc64eee2c","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-25T09:42:27Z","title_canon_sha256":"e3a922ae328117951bd40d580bc801a8be058d492c4ce648d7ba06ce59fc76b4"},"schema_version":"1.0","source":{"id":"2605.25640","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25640","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25640v1","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25640","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"IQ3JKUH4MMKH","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"IQ3JKUH4MMKHAQAF","created_at":"2026-05-26T02:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"IQ3JKUH4","created_at":"2026-05-26T02:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:704890b0c78293412450f17337ecfbaebeb1fb413263dea68fcf1d3be75c8fbc","target":"graph","created_at":"2026-05-26T02:04:47Z","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/2605.25640/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate reconstruction of magnetic fields in inaccessible regions is vital for many high-precision experiments in physics. Traditional methods, such as spherical harmonic expansion, often suffer from truncation errors that limit their precision. This study proposes an advanced Physics-Informed Neural Network (PINN) framework for high-precision 3D magnetic field mapping. Unlike conventional data-driven models, the proposed PINN integrates Maxwell's equations directly into the loss function, enforcing divergence-free and curl-free conditions across the entire domain. A key innovation is the inc","authors_text":"Bingzhi Li, Haohan Yu, Liang Li, Xiang Chen, Zejia Lu, Zhanxu Hao","cross_cats":["cs.LG","hep-ex","nucl-ex"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-25T09:42:27Z","title":"3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25640","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":"sha256:8696473b4cec6530a2a8fb87d5c7eebe4476fe5ad92c354244a1376627db29f1","target":"record","created_at":"2026-05-26T02:04:47Z","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":"a6c742de935bc5e1bcf7ff4d4bb84edf4d3970de0a0170301754746bc64eee2c","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-25T09:42:27Z","title_canon_sha256":"e3a922ae328117951bd40d580bc801a8be058d492c4ce648d7ba06ce59fc76b4"},"schema_version":"1.0","source":{"id":"2605.25640","kind":"arxiv","version":1}},"canonical_sha256":"44369550fc6314704005e6c64980bba8931fd1880a56cb114462b57d59c0e861","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44369550fc6314704005e6c64980bba8931fd1880a56cb114462b57d59c0e861","first_computed_at":"2026-05-26T02:04:47.781751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:47.781751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DzAnpuw/AHEO4yx1dt+7vXdHHavpPE+AS5eIH/LFbVDgJv8gnDk9lxYm3isGtIGqaMYWzjKLYnBlzM2tR5NMDA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:47.782384Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25640","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8696473b4cec6530a2a8fb87d5c7eebe4476fe5ad92c354244a1376627db29f1","sha256:704890b0c78293412450f17337ecfbaebeb1fb413263dea68fcf1d3be75c8fbc"],"state_sha256":"c5d60cd756ff12e62e83962e24727fabe064daa39b1e6d78cd13e41fc9fbd51d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cPsISRkJuUGg4BrA+63MHw69tfOWDb6KZJj36WL+XLJjqbifkaHm1JsdmuJ3zu3Er7sQAbU57KeJdzuLx/hABw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T03:03:38.008369Z","bundle_sha256":"af9633ca9e00037f8db893191d2487f39bb674ba573538e6aa546498564dce9e"}}