{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MT7MHXY5R36DX2JQ5OARU3J3IG","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":"052981200635b255d03f26f543fcfeea3aee99d822f8622ac12a9b27631281a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2026-05-21T16:03:48Z","title_canon_sha256":"bc22a7884b52aeb2b493434fa2152eefd290d67e348ed0f502c7819167bd9f8c"},"schema_version":"1.0","source":{"id":"2605.22663","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22663","created_at":"2026-05-22T02:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22663v1","created_at":"2026-05-22T02:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22663","created_at":"2026-05-22T02:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"MT7MHXY5R36D","created_at":"2026-05-22T02:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"MT7MHXY5R36DX2JQ","created_at":"2026-05-22T02:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"MT7MHXY5","created_at":"2026-05-22T02:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:c56e7369691964b1d5b58e6e94a629d736b8a1fa904d778e4ca0b1edc342f824","target":"graph","created_at":"2026-05-22T02:04:49Z","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/2605.22663/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-driven thermal predictors for 3D-ICs are often trained from scratch for each chip design using many high-fidelity finite-element simulations, leading to high data-generation cost and costly cross-design reuse. We propose Therm-FM, a neural operator framework that adapts a pretrained partial differential equation (PDE) foundation model to steady-state and transient 3D-IC thermal simulation. The motivation is that steady-state and transient chip-level heat conduction respectively share elliptic and parabolic operator structures with diffusion-type PDEs, allowing pretrained diffusion priors ","authors_text":"Haiyang Xin, Lei He, Ting-Jung Lin, Wei W. Xing, Wenkai Yang, Yangbo Wei, Yu Zhang, Zhen Huang, Zhiping Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2026-05-21T16:03:48Z","title":"Therm-FM: Foundation Model is ALL YOU NEED for 3D-ICs Thermal Simulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22663","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:f089eee86f0539624ce8429e106d502d763e7347878dbdd6d94ce3a26c42a597","target":"record","created_at":"2026-05-22T02:04:49Z","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":"052981200635b255d03f26f543fcfeea3aee99d822f8622ac12a9b27631281a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2026-05-21T16:03:48Z","title_canon_sha256":"bc22a7884b52aeb2b493434fa2152eefd290d67e348ed0f502c7819167bd9f8c"},"schema_version":"1.0","source":{"id":"2605.22663","kind":"arxiv","version":1}},"canonical_sha256":"64fec3df1d8efc3be930eb811a6d3b41bb137fcc1397e8c14ed0b59b7edbae23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64fec3df1d8efc3be930eb811a6d3b41bb137fcc1397e8c14ed0b59b7edbae23","first_computed_at":"2026-05-22T02:04:49.016818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T02:04:49.016818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5MBJY3qEarA/i4po7LaIdBIUC9ZQnvpP4lkgvh9gH82P7QtCJ7VilAxrTDFn6SDITCeeZVqHmHuCbMiUCsARAw==","signature_status":"signed_v1","signed_at":"2026-05-22T02:04:49.017640Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22663","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f089eee86f0539624ce8429e106d502d763e7347878dbdd6d94ce3a26c42a597","sha256:c56e7369691964b1d5b58e6e94a629d736b8a1fa904d778e4ca0b1edc342f824"],"state_sha256":"b99149f6c3fa7ebe47abfc81550a543998046489d8571a78ff3f09810119b149"}