{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZVBNDBLQWXWNPTAFI6KCBGNWR3","short_pith_number":"pith:ZVBNDBLQ","canonical_record":{"source":{"id":"2412.00087","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T08:15:23Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"4820291dbb3dc85f02873594240cc9e90325283917b4a464419b58009a9e20b3","abstract_canon_sha256":"88805f8b36d76f5477bf2b2c5ee4e509840cff485231dc6aad45d0f58f0d6de8"},"schema_version":"1.0"},"canonical_sha256":"cd42d18570b5ecd7cc0547942099b68efcc0bbd4e3c8ba97e46cedc72ddf1000","source":{"kind":"arxiv","id":"2412.00087","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00087","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00087v3","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00087","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZVBNDBLQWXWN","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZVBNDBLQWXWNPTAF","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZVBNDBLQ","created_at":"2026-07-05T11:18:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZVBNDBLQWXWNPTAFI6KCBGNWR3","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00087","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T08:15:23Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"4820291dbb3dc85f02873594240cc9e90325283917b4a464419b58009a9e20b3","abstract_canon_sha256":"88805f8b36d76f5477bf2b2c5ee4e509840cff485231dc6aad45d0f58f0d6de8"},"schema_version":"1.0"},"canonical_sha256":"cd42d18570b5ecd7cc0547942099b68efcc0bbd4e3c8ba97e46cedc72ddf1000","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:16.269283Z","signature_b64":"7knS6rR7RrTYZS0hkFaw5D4e1qmYe2IRRPqxpYmkZ7IPOBdHPG3IFzMG7nyJZzbhhy4a3nvZIg1CwoRFiw35CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd42d18570b5ecd7cc0547942099b68efcc0bbd4e3c8ba97e46cedc72ddf1000","last_reissued_at":"2026-07-05T11:18:16.268677Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:16.268677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00087","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5u4NdYLxrFYmKa7eTpLoENECxDrxXhOJ/3f1J7ouSAWoHkoCB20+rJg+sAlnFQvmOTZVFjH6GOxSZXOjrkQuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T10:00:46.222743Z"},"content_sha256":"475b5d33026f5b3197e35e8b7966b8ec01f8a9c3bd56bfdd0365cf0abdb9b140","schema_version":"1.0","event_id":"sha256:475b5d33026f5b3197e35e8b7966b8ec01f8a9c3bd56bfdd0365cf0abdb9b140"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZVBNDBLQWXWNPTAFI6KCBGNWR3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.LG","authors_text":"Changqing Zou, Chenshu Hu, Cong Wang, Haiping Wang, Jing Li, Renjie Yang, Weizhe Yang, Xianli Huang, Xinyao Yu, Yixiong Wei, Zhaoyang Liu, Zhifeng Zhao, Zhijun Wang","submitted_at":"2024-11-27T08:15:23Z","abstract_excerpt":"Rapid reconstruction of 2D plasma profiles from line-integral measurements is important in nuclear fusion. This paper introduces a physics-informed model architecture called Onion, that can enhance the performance of models and be adapted to various backbone networks. The model under Onion incorporates physical information by a multiplication process and applies the physics-informed loss function according to the principle of line integration. Prediction results demonstrate that the additional input of physical information improves the deep learning model's ability, leading to a reduction in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00087","kind":"arxiv","version":3},"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/2412.00087/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":"2026-07-05T11:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KdV+OqNFGQIstuheRB36yyg1NmDHRah2AO/vT/fmF88mMDQ61UliWiOustiJtRcn28NRm4FJddtmkzQCQLemBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T10:00:46.223635Z"},"content_sha256":"b7858554ff5d5a883b4f73eb47031fe45362d7c6342ca3ad2082f10058c4af0b","schema_version":"1.0","event_id":"sha256:b7858554ff5d5a883b4f73eb47031fe45362d7c6342ca3ad2082f10058c4af0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/bundle.json","state_url":"https://pith.science/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/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":"2026-08-01T10:00:46Z","links":{"resolver":"https://pith.science/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3","bundle":"https://pith.science/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/bundle.json","state":"https://pith.science/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZVBNDBLQWXWNPTAFI6KCBGNWR3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZVBNDBLQWXWNPTAFI6KCBGNWR3","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":"88805f8b36d76f5477bf2b2c5ee4e509840cff485231dc6aad45d0f58f0d6de8","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T08:15:23Z","title_canon_sha256":"4820291dbb3dc85f02873594240cc9e90325283917b4a464419b58009a9e20b3"},"schema_version":"1.0","source":{"id":"2412.00087","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00087","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00087v3","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00087","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZVBNDBLQWXWN","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZVBNDBLQWXWNPTAF","created_at":"2026-07-05T11:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZVBNDBLQ","created_at":"2026-07-05T11:18:16Z"}],"graph_snapshots":[{"event_id":"sha256:b7858554ff5d5a883b4f73eb47031fe45362d7c6342ca3ad2082f10058c4af0b","target":"graph","created_at":"2026-07-05T11:18:16Z","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/2412.00087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rapid reconstruction of 2D plasma profiles from line-integral measurements is important in nuclear fusion. This paper introduces a physics-informed model architecture called Onion, that can enhance the performance of models and be adapted to various backbone networks. The model under Onion incorporates physical information by a multiplication process and applies the physics-informed loss function according to the principle of line integration. Prediction results demonstrate that the additional input of physical information improves the deep learning model's ability, leading to a reduction in t","authors_text":"Changqing Zou, Chenshu Hu, Cong Wang, Haiping Wang, Jing Li, Renjie Yang, Weizhe Yang, Xianli Huang, Xinyao Yu, Yixiong Wei, Zhaoyang Liu, Zhifeng Zhao, Zhijun Wang","cross_cats":["cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T08:15:23Z","title":"Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00087","kind":"arxiv","version":3},"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":"sha256:475b5d33026f5b3197e35e8b7966b8ec01f8a9c3bd56bfdd0365cf0abdb9b140","target":"record","created_at":"2026-07-05T11:18:16Z","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":"88805f8b36d76f5477bf2b2c5ee4e509840cff485231dc6aad45d0f58f0d6de8","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T08:15:23Z","title_canon_sha256":"4820291dbb3dc85f02873594240cc9e90325283917b4a464419b58009a9e20b3"},"schema_version":"1.0","source":{"id":"2412.00087","kind":"arxiv","version":3}},"canonical_sha256":"cd42d18570b5ecd7cc0547942099b68efcc0bbd4e3c8ba97e46cedc72ddf1000","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd42d18570b5ecd7cc0547942099b68efcc0bbd4e3c8ba97e46cedc72ddf1000","first_computed_at":"2026-07-05T11:18:16.268677Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:16.268677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7knS6rR7RrTYZS0hkFaw5D4e1qmYe2IRRPqxpYmkZ7IPOBdHPG3IFzMG7nyJZzbhhy4a3nvZIg1CwoRFiw35CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:16.269283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00087","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:475b5d33026f5b3197e35e8b7966b8ec01f8a9c3bd56bfdd0365cf0abdb9b140","sha256:b7858554ff5d5a883b4f73eb47031fe45362d7c6342ca3ad2082f10058c4af0b"],"state_sha256":"287287104f206c0d6fb92ca7dc18dfef5cdc67436ac2630b55b24cc2809ed934"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eZD6UtD5WbqxVhW+AdN2zVv867ba5lKohQj0sEyOqMuBnMtI+xR+KwrGwuzJiUHinNuPUiI9LE0d0JnaKvx6CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T10:00:46.232315Z","bundle_sha256":"9bc431d0dc0bbdffc480667ce159113c51b25e07f4277ac02a626877ecc4b199"}}