{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JR4POGSPJCZAMANFCOZKIBSMOG","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":"f380111e60e390906e561bf7fa4832d12cf7fe5092d8398f6e99e4fce794b03a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-07-08T01:57:42Z","title_canon_sha256":"4a33ccafa804e56e54c17b6d608506422112a9e013914c9bcd5019108d955612"},"schema_version":"1.0","source":{"id":"2607.06905","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.06905","created_at":"2026-07-09T00:19:39Z"},{"alias_kind":"arxiv_version","alias_value":"2607.06905v1","created_at":"2026-07-09T00:19:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06905","created_at":"2026-07-09T00:19:39Z"},{"alias_kind":"pith_short_12","alias_value":"JR4POGSPJCZA","created_at":"2026-07-09T00:19:39Z"},{"alias_kind":"pith_short_16","alias_value":"JR4POGSPJCZAMANF","created_at":"2026-07-09T00:19:39Z"},{"alias_kind":"pith_short_8","alias_value":"JR4POGSP","created_at":"2026-07-09T00:19:39Z"}],"graph_snapshots":[{"event_id":"sha256:3c527eedf6702a03ae54e598400f50070bb759d64395a66805d9b473742ad079","target":"graph","created_at":"2026-07-09T00:19:39Z","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/2607.06905/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-stakes computerized adaptive tests (CATs) must continually calibrate new items in their item bank. When an item is new, few responses are available, so item parameter estimates -- and thus test scores -- are poor. Item features and explanatory item response theory (IRT) models mitigate this by folding item content into calibration. Neural IRT models, whose item parameters are neural-net outputs, are powerful, but tuning hyperparameters and architectures in real time while a CAT is scoring is impractical and threatens validity. We propose a pre-launch step that fits a neural net to produce","authors_text":"James Sharpnack, Kai-Ling Lo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-07-08T01:57:42Z","title":"Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06905","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":"sha256:379bde9fc5047e23dc0d83b85b3bde49e62c0041d0bddad35646b04149c8a0b0","target":"record","created_at":"2026-07-09T00:19:39Z","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":"f380111e60e390906e561bf7fa4832d12cf7fe5092d8398f6e99e4fce794b03a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-07-08T01:57:42Z","title_canon_sha256":"4a33ccafa804e56e54c17b6d608506422112a9e013914c9bcd5019108d955612"},"schema_version":"1.0","source":{"id":"2607.06905","kind":"arxiv","version":1}},"canonical_sha256":"4c78f71a4f48b20601a513b2a4064c718efeab4ea3ea7c28d0cddf93c349238c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c78f71a4f48b20601a513b2a4064c718efeab4ea3ea7c28d0cddf93c349238c","first_computed_at":"2026-07-09T00:19:39.066697Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-09T00:19:39.066697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2Z+AutZnesqwXhZ9Vq0KMnzBctwDD5RD9ixOzhldRFskJKFP1h2AiSmRxWAIeDnXPsJfMpdz1EKbsGs1K6KKBA==","signature_status":"signed_v1","signed_at":"2026-07-09T00:19:39.067138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.06905","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:379bde9fc5047e23dc0d83b85b3bde49e62c0041d0bddad35646b04149c8a0b0","sha256:3c527eedf6702a03ae54e598400f50070bb759d64395a66805d9b473742ad079"],"state_sha256":"772d3e71b66daf9c9b5c62d0d1c7a3a87756bc6db4e96f2db4e84459a9eb2b06"}