{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:25XT65BDJCX2FLO6C5RSFEAJEU","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":"d3733f3d1b0f49dcc5b9a380ff718152103a31480e7eebfcd18af5b11b90ec96","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-30T08:00:39Z","title_canon_sha256":"b71cbec88af809913d2bf97ca8574807b7cb2896ead76dcfa4555f8f5e27cb7a"},"schema_version":"1.0","source":{"id":"2607.27820","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27820","created_at":"2026-07-31T01:34:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27820v1","created_at":"2026-07-31T01:34:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27820","created_at":"2026-07-31T01:34:18Z"},{"alias_kind":"pith_short_12","alias_value":"25XT65BDJCX2","created_at":"2026-07-31T01:34:18Z"},{"alias_kind":"pith_short_16","alias_value":"25XT65BDJCX2FLO6","created_at":"2026-07-31T01:34:18Z"},{"alias_kind":"pith_short_8","alias_value":"25XT65BD","created_at":"2026-07-31T01:34:18Z"}],"graph_snapshots":[{"event_id":"sha256:f37863aa1864b73d3333585edf67e271793680d73b0ba3f176d32129abead78b","target":"graph","created_at":"2026-07-31T01:34:18Z","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/2607.27820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Phase-field modeling provides a powerful approach for predicting microstructure evolution but becomes computationally prohibitive for multicomponent and multiphase systems over large spatial and temporal scales. This work presents an AE-GCN-LSTM surrogate framework for long-horizon forecasting of microstructure evolution in the multicomponent AlCrFeNi high-entropy alloy system containing coexisting BCC and FCC phases. A multi-head autoencoder compresses the four elemental concentration fields and phase-field order parameter into latent representations, which are formulated as graphs for learni","authors_text":"Hamidreza Razavi, Nele Moelans","cross_cats":["cs.AI","cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-30T08:00:39Z","title":"Deep Learning for Accelerated Long-Horizon Forecasting of Multicomponent Multiphase Microstructure Evolution in High-Entropy Alloys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27820","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:f2c517b9418f2a3bf9a55ba1ee6d8577eb7611a6c72d44482c0f2ffcff14777b","target":"record","created_at":"2026-07-31T01:34:18Z","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":"d3733f3d1b0f49dcc5b9a380ff718152103a31480e7eebfcd18af5b11b90ec96","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-30T08:00:39Z","title_canon_sha256":"b71cbec88af809913d2bf97ca8574807b7cb2896ead76dcfa4555f8f5e27cb7a"},"schema_version":"1.0","source":{"id":"2607.27820","kind":"arxiv","version":1}},"canonical_sha256":"d76f3f742348afa2adde176322900925284f1e5dbd2224b244bf4960faa5ad5b","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d76f3f742348afa2adde176322900925284f1e5dbd2224b244bf4960faa5ad5b","first_computed_at":"2026-07-31T01:34:18.651850Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:34:18.651850Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27820","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2c517b9418f2a3bf9a55ba1ee6d8577eb7611a6c72d44482c0f2ffcff14777b","sha256:f37863aa1864b73d3333585edf67e271793680d73b0ba3f176d32129abead78b"],"state_sha256":"12ea7ca0f1a6d7859e05536c420a1b9a7467e07a105b7eae77dcb2eaa04485b3"}