{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VIWFMZ7LNY2CFTSUHVNN7ZLB5G","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":"6fc4a4f77f0ca2c043e1c7b9a598b181b5a6fb1f0c7641c6ff57f2c23f3dd72a","cross_cats_sorted":["cs.AI","physics.app-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-01T11:46:14Z","title_canon_sha256":"aabcc8a25b90d54e33437ceb202a1981698a77c6462c49318a431c0064c96e86"},"schema_version":"1.0","source":{"id":"2512.01572","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.01572","created_at":"2026-05-27T02:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"2512.01572v3","created_at":"2026-05-27T02:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.01572","created_at":"2026-05-27T02:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"VIWFMZ7LNY2C","created_at":"2026-05-27T02:05:08Z"},{"alias_kind":"pith_short_16","alias_value":"VIWFMZ7LNY2CFTSU","created_at":"2026-05-27T02:05:08Z"},{"alias_kind":"pith_short_8","alias_value":"VIWFMZ7L","created_at":"2026-05-27T02:05:08Z"}],"graph_snapshots":[{"event_id":"sha256:ab493c5a9c66117c45b1f91a02e3483991ee5811497fd5f3833b47bbaf0ea287","target":"graph","created_at":"2026-05-27T02:05:08Z","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/2512.01572/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extreme sensor sparsity makes full-field reconstruction a fundamentally ill-posed problem in scientific sensing,where the goal is to infer physical fields from sparse measurements.In this regime,the posterior is severely underconstrained and inherently multimodal,making its approximation highly ill-conditioned.Specifically,deterministic mappings collapse uncertainty,direct conditional learning cannot cover the space of possible observation-conditioned solutions,and likelihood-guided sampling becomes highly sensitive to noise and sensor configurations.These limitations result in unstable poster","authors_text":"Guannan Wang, Letian Yi, Mingyuan Zhou, Quanke Su, Tingpeng Zhang, Zhilu Lai","cross_cats":["cs.AI","physics.app-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-01T11:46:14Z","title":"Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.01572","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":"sha256:26320761b7964cb4a078014d678f1e1d40516c62528647849a1c1749ee1696b4","target":"record","created_at":"2026-05-27T02:05:08Z","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":"6fc4a4f77f0ca2c043e1c7b9a598b181b5a6fb1f0c7641c6ff57f2c23f3dd72a","cross_cats_sorted":["cs.AI","physics.app-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-12-01T11:46:14Z","title_canon_sha256":"aabcc8a25b90d54e33437ceb202a1981698a77c6462c49318a431c0064c96e86"},"schema_version":"1.0","source":{"id":"2512.01572","kind":"arxiv","version":3}},"canonical_sha256":"aa2c5667eb6e3422ce543d5adfe561e99efececd35464747ca340667cc5071a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa2c5667eb6e3422ce543d5adfe561e99efececd35464747ca340667cc5071a6","first_computed_at":"2026-05-27T02:05:08.837985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T02:05:08.837985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HLoKcpXuud6Dg39N8dWjDFIzU5iK8Y49wjHQddnpuRvgoFf9E3G8jtsKIz2iL7Z/OFPvlm+8440Dm1f3S1PHAg==","signature_status":"signed_v1","signed_at":"2026-05-27T02:05:08.838652Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.01572","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26320761b7964cb4a078014d678f1e1d40516c62528647849a1c1749ee1696b4","sha256:ab493c5a9c66117c45b1f91a02e3483991ee5811497fd5f3833b47bbaf0ea287"],"state_sha256":"73999201d8ac8dc681624cf54cc574426af0a846aae4520dfbc893e343e1b61e"}