{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EDLINL4MKFKC3XNJY66JR2JHIA","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":"de19b864546bead18e4a1e4ad081686740ead13505fd87eb4c634c6ab4efe70b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-07T22:28:45Z","title_canon_sha256":"39da1aee27a1cac207fcf9c61d115b184a8a27487b466fc70b9227a11451792d"},"schema_version":"1.0","source":{"id":"2504.05539","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.05539","created_at":"2026-06-09T02:07:03Z"},{"alias_kind":"arxiv_version","alias_value":"2504.05539v6","created_at":"2026-06-09T02:07:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.05539","created_at":"2026-06-09T02:07:03Z"},{"alias_kind":"pith_short_12","alias_value":"EDLINL4MKFKC","created_at":"2026-06-09T02:07:03Z"},{"alias_kind":"pith_short_16","alias_value":"EDLINL4MKFKC3XNJ","created_at":"2026-06-09T02:07:03Z"},{"alias_kind":"pith_short_8","alias_value":"EDLINL4M","created_at":"2026-06-09T02:07:03Z"}],"graph_snapshots":[{"event_id":"sha256:dd7bc7815f7a9047efe069379795d8abb11342877009a375bb99a7732d0f5df3","target":"graph","created_at":"2026-06-09T02:07:03Z","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/2504.05539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional approaches to achieve targeted epitaxial growth involves exploring a vast parameter space of thermodynamical and kinetic drivers (e.g., temperature, pressure, chemical potential etc). This tedious and time-consuming approach becomes particularly cumbersome to accelerate synthesis and characterization of novel materials with complex dependencies on local chemical environment, temperature and lattice-strains, specifically nanoscale heterostructures of layered 2D materials. We combine the strength of next generation supercomputers at the extreme scale, machine learning and classical m","authors_text":"Ankita Biswas, Ayana Ghosh, Panchapakesan Ganesh, Prasanna V. Balachandran, Soumendu Bagchi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-07T22:28:45Z","title":"Towards \"on-demand\" van der Waals epitaxy with adaptive ensemble sampling atomistic workflows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.05539","kind":"arxiv","version":6},"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":"sha256:137f399484f85933143be32786341656d19b614dc53ca59debb4c84c4459ca7b","target":"record","created_at":"2026-06-09T02:07:03Z","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":"de19b864546bead18e4a1e4ad081686740ead13505fd87eb4c634c6ab4efe70b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-07T22:28:45Z","title_canon_sha256":"39da1aee27a1cac207fcf9c61d115b184a8a27487b466fc70b9227a11451792d"},"schema_version":"1.0","source":{"id":"2504.05539","kind":"arxiv","version":6}},"canonical_sha256":"20d686af8c51542ddda9c7bc98e9274005d1a875ca06e0f9713b5b046d48b9c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20d686af8c51542ddda9c7bc98e9274005d1a875ca06e0f9713b5b046d48b9c9","first_computed_at":"2026-06-09T02:07:03.120788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:07:03.120788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K9vQkQx279GNzPOrpagtJRM8c4LPfhKR1K9GsYWs4uGsd2/lwJJGowUvDJY0NTGkRLrl1a+nLg5BAkChpAbzAA==","signature_status":"signed_v1","signed_at":"2026-06-09T02:07:03.122004Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.05539","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:137f399484f85933143be32786341656d19b614dc53ca59debb4c84c4459ca7b","sha256:dd7bc7815f7a9047efe069379795d8abb11342877009a375bb99a7732d0f5df3"],"state_sha256":"81894e5a00ffdf16bf7789383442380ac1b0e433ba00e6b82707213f34d6b234"}