{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B63Y4JWE2JRAAPMFHAZTRXW3ZN","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":"45b7afc46929e3083838737118054bca68f355ff8a415a9f8606bfd03e22bbfa","cross_cats_sorted":["q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T19:05:58Z","title_canon_sha256":"609d9d8da85a35a384bbaf77efd846d987f8f9d0d1dc56bf9a7d5bf81b306ffa"},"schema_version":"1.0","source":{"id":"2606.11382","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11382","created_at":"2026-06-11T00:08:22Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11382v1","created_at":"2026-06-11T00:08:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11382","created_at":"2026-06-11T00:08:22Z"},{"alias_kind":"pith_short_12","alias_value":"B63Y4JWE2JRA","created_at":"2026-06-11T00:08:22Z"},{"alias_kind":"pith_short_16","alias_value":"B63Y4JWE2JRAAPMF","created_at":"2026-06-11T00:08:22Z"},{"alias_kind":"pith_short_8","alias_value":"B63Y4JWE","created_at":"2026-06-11T00:08:22Z"}],"graph_snapshots":[{"event_id":"sha256:cc3347eb9e75c209820d1d29141945744cdca45c38b348e8089ab1610c97e837","target":"graph","created_at":"2026-06-11T00:08:22Z","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/2606.11382/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models facilitate the discovery of molecules with tailored properties among billions of candidate compounds. However, the computational burden to develop and deploy state-of-the-art models continuously increases, limiting their scalability. Most large-scale models are unimodal in nature and overlook the potential to leverage complementary molecular data modalities. To address these shortcomings, this paper introduces the Graph-Language Alignment for Chemical Inference and Exploration using Representations (GLACIER) model, a student-teacher framework that integrates molecular grap","authors_text":"Andreas Luttens, Emily Nguyen, Harsh Toshniwal, Yan Liu, Yongchan Hong","cross_cats":["q-bio.BM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T19:05:58Z","title":"GLACIER: A Multimodal Student-Teacher Foundation Model for Molecular Property Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11382","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":"sha256:08c63536909334f251a19c89e083dba35bf35b0b6fde451fe5985f4bc2a889f1","target":"record","created_at":"2026-06-11T00:08:22Z","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":"45b7afc46929e3083838737118054bca68f355ff8a415a9f8606bfd03e22bbfa","cross_cats_sorted":["q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T19:05:58Z","title_canon_sha256":"609d9d8da85a35a384bbaf77efd846d987f8f9d0d1dc56bf9a7d5bf81b306ffa"},"schema_version":"1.0","source":{"id":"2606.11382","kind":"arxiv","version":1}},"canonical_sha256":"0fb78e26c4d262003d85383338dedbcb67e8eb883a427dca4fc34f261549735c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fb78e26c4d262003d85383338dedbcb67e8eb883a427dca4fc34f261549735c","first_computed_at":"2026-06-11T00:08:22.625686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T00:08:22.625686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MI3cw0Z0Yj+atfhwy1eNjCjjfiKyHOL9LoteKJbx2Ad+Z+XyP8ZsjR8bQH/PnH54ijWiCvcHbxmhQZFyW7/nCw==","signature_status":"signed_v1","signed_at":"2026-06-11T00:08:22.626552Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11382","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08c63536909334f251a19c89e083dba35bf35b0b6fde451fe5985f4bc2a889f1","sha256:cc3347eb9e75c209820d1d29141945744cdca45c38b348e8089ab1610c97e837"],"state_sha256":"670dc73f4cf58773a903be3c1657abf392d86dc9ceffc5fb5e3fbd0d9a8ba681"}