{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DZIJMFJT4Q4YTN34JYAXGCEIA4","short_pith_number":"pith:DZIJMFJT","canonical_record":{"source":{"id":"2602.04940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-04T16:52:44Z","cross_cats_sorted":[],"title_canon_sha256":"f8d5e168c327e15797e9db348cfed596c06ee685e4b72bb501aaa546ac998639","abstract_canon_sha256":"7efb05f183307d05155c49dd55c12cd6f8e00f95ec6a771a8ae075642dd5d62d"},"schema_version":"1.0"},"canonical_sha256":"1e50961533e43989b77c4e01730888072380f189d219f8cfed92d223b5458595","source":{"kind":"arxiv","id":"2602.04940","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.04940","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.04940v2","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.04940","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_12","alias_value":"DZIJMFJT4Q4Y","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_16","alias_value":"DZIJMFJT4Q4YTN34","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_8","alias_value":"DZIJMFJT","created_at":"2026-06-30T02:17:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DZIJMFJT4Q4YTN34JYAXGCEIA4","target":"record","payload":{"canonical_record":{"source":{"id":"2602.04940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-04T16:52:44Z","cross_cats_sorted":[],"title_canon_sha256":"f8d5e168c327e15797e9db348cfed596c06ee685e4b72bb501aaa546ac998639","abstract_canon_sha256":"7efb05f183307d05155c49dd55c12cd6f8e00f95ec6a771a8ae075642dd5d62d"},"schema_version":"1.0"},"canonical_sha256":"1e50961533e43989b77c4e01730888072380f189d219f8cfed92d223b5458595","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:17:15.458301Z","signature_b64":"ABKX7TEA76a+LvGmSS9dE1mHOdXMznPvVIeK+M8eC9WXNt8T5s/U+uqP9SJeP7s+OUTEcXWaeT+Sq1ow3x6GDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e50961533e43989b77c4e01730888072380f189d219f8cfed92d223b5458595","last_reissued_at":"2026-06-30T02:17:15.455068Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:17:15.455068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.04940","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":"2026-06-30T02:17:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pBKrOhDzsORXZ5WxRHHn8m6m5Pf5pAUcRv8ED2ZHgPlYLuuwVEJP8aNJtkK5J43UMoUyjrSX+pHOpmNkLCMBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T13:42:32.555540Z"},"content_sha256":"10115dec8da6bfddde93b4a5ec2810a27b8844a5db27f8a7ccd4213bb7ba2c5e","schema_version":"1.0","event_id":"sha256:10115dec8da6bfddde93b4a5ec2810a27b8844a5db27f8a7ccd4213bb7ba2c5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DZIJMFJT4Q4YTN34JYAXGCEIA4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Haixu Wu, Hang Zhou, Haonan Shangguan, Huikun Weng, Jianmin Wang, Mingsheng Long, Yuezhou Ma","submitted_at":"2026-02-04T16:52:44Z","abstract_excerpt":"Deep learning has emerged as a transformative tool for the neural surrogate modeling of partial differential equations (PDEs), known as neural PDE solvers. However, scaling these solvers to industrial-scale geometries with over $10^8$ cells remains a fundamental challenge due to the prohibitive memory complexity of processing high-resolution meshes. We present Transolver-3, a new member of the Transolver family as a highly scalable framework designed for high-fidelity physics simulations. To bridge the gap between limited GPU capacity and the resolution requirements of complex engineering task"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.04940","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/2602.04940/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":"2026-06-30T02:17:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h83xFIPVK4NrCyPNatoiPc5C1PtRRNhApKki/3j5eBbbCB9FPSYwCjnjq5x3Fca84fpnoo49/FclWgnczefkDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T13:42:32.555930Z"},"content_sha256":"2f43a66a390a78f2851f70b9b57695b90db0c32a9e69ed8ca4f011c1acda4258","schema_version":"1.0","event_id":"sha256:2f43a66a390a78f2851f70b9b57695b90db0c32a9e69ed8ca4f011c1acda4258"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/bundle.json","state_url":"https://pith.science/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/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":"2026-06-30T13:42:32Z","links":{"resolver":"https://pith.science/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4","bundle":"https://pith.science/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/bundle.json","state":"https://pith.science/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DZIJMFJT4Q4YTN34JYAXGCEIA4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DZIJMFJT4Q4YTN34JYAXGCEIA4","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":"7efb05f183307d05155c49dd55c12cd6f8e00f95ec6a771a8ae075642dd5d62d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-04T16:52:44Z","title_canon_sha256":"f8d5e168c327e15797e9db348cfed596c06ee685e4b72bb501aaa546ac998639"},"schema_version":"1.0","source":{"id":"2602.04940","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.04940","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.04940v2","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.04940","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_12","alias_value":"DZIJMFJT4Q4Y","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_16","alias_value":"DZIJMFJT4Q4YTN34","created_at":"2026-06-30T02:17:15Z"},{"alias_kind":"pith_short_8","alias_value":"DZIJMFJT","created_at":"2026-06-30T02:17:15Z"}],"graph_snapshots":[{"event_id":"sha256:2f43a66a390a78f2851f70b9b57695b90db0c32a9e69ed8ca4f011c1acda4258","target":"graph","created_at":"2026-06-30T02:17:15Z","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/2602.04940/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has emerged as a transformative tool for the neural surrogate modeling of partial differential equations (PDEs), known as neural PDE solvers. However, scaling these solvers to industrial-scale geometries with over $10^8$ cells remains a fundamental challenge due to the prohibitive memory complexity of processing high-resolution meshes. We present Transolver-3, a new member of the Transolver family as a highly scalable framework designed for high-fidelity physics simulations. To bridge the gap between limited GPU capacity and the resolution requirements of complex engineering task","authors_text":"Haixu Wu, Hang Zhou, Haonan Shangguan, Huikun Weng, Jianmin Wang, Mingsheng Long, Yuezhou Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-04T16:52:44Z","title":"Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.04940","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":"sha256:10115dec8da6bfddde93b4a5ec2810a27b8844a5db27f8a7ccd4213bb7ba2c5e","target":"record","created_at":"2026-06-30T02:17:15Z","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":"7efb05f183307d05155c49dd55c12cd6f8e00f95ec6a771a8ae075642dd5d62d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-04T16:52:44Z","title_canon_sha256":"f8d5e168c327e15797e9db348cfed596c06ee685e4b72bb501aaa546ac998639"},"schema_version":"1.0","source":{"id":"2602.04940","kind":"arxiv","version":2}},"canonical_sha256":"1e50961533e43989b77c4e01730888072380f189d219f8cfed92d223b5458595","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e50961533e43989b77c4e01730888072380f189d219f8cfed92d223b5458595","first_computed_at":"2026-06-30T02:17:15.455068Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:15.455068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ABKX7TEA76a+LvGmSS9dE1mHOdXMznPvVIeK+M8eC9WXNt8T5s/U+uqP9SJeP7s+OUTEcXWaeT+Sq1ow3x6GDg==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:15.458301Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.04940","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10115dec8da6bfddde93b4a5ec2810a27b8844a5db27f8a7ccd4213bb7ba2c5e","sha256:2f43a66a390a78f2851f70b9b57695b90db0c32a9e69ed8ca4f011c1acda4258"],"state_sha256":"a7ace81d1a2e61c17b01bec371cfe573d12f0c07e16c6552b68d9cb99f06e4dc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MpkX7dioGYT5XSFSz2FWjFccfQplrxqyCZgO5NO4xNMlEQx/7eduM2wfM5s7ggnbpuS/MR2uZd48raAWEjZbAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T13:42:32.557950Z","bundle_sha256":"0ad79171458471343042588fcf2a6fe3824ce5a65316e5247d6b5973cf368ec0"}}