{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G3XATSHQXAVVBZXWHFMO5PL54X","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":"057e556f19e9572b0076284d02adcbcaf87b8b06d5b62e43ef1adc0a25b34809","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:21:19Z","title_canon_sha256":"41ad5470c267625325d13fc390a6b47d60a84a95dee08f79ec998fb86ec09be5"},"schema_version":"1.0","source":{"id":"2505.17804","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17804","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17804v1","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17804","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_12","alias_value":"G3XATSHQXAVV","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_16","alias_value":"G3XATSHQXAVVBZXW","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_8","alias_value":"G3XATSHQ","created_at":"2026-07-05T11:08:32Z"}],"graph_snapshots":[{"event_id":"sha256:7c2deb5b8261eafac6e156b7c86fd1a8e727a53ba178cfd707bce673cd91116c","target":"graph","created_at":"2026-07-05T11:08:32Z","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/2505.17804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the growing interest in designing truly interactive hyperparameter optimization (HPO) methods, to date, only a few allow to include human feedback. Existing interactive Bayesian optimization (BO) methods incorporate human beliefs by weighting the acquisition function with a user-defined prior distribution. However, in light of the non-trivial inner optimization of the acquisition function prevalent in BO, such weighting schemes do not always accurately reflect given user beliefs. We introduce a novel BO approach leveraging tractable probabilistic models named probabilistic circuits (PC","authors_text":"Fabrizio Ventola, Jonas Seng, Kristian Kersting, Zhongjie Yu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:21:19Z","title":"Hyperparameter Optimization via Interacting with Probabilistic Circuits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17804","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:ffb668493b32869e2422b2b29b75cbf2a8012617fec4eee99d2feb0f797af25d","target":"record","created_at":"2026-07-05T11:08:32Z","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":"057e556f19e9572b0076284d02adcbcaf87b8b06d5b62e43ef1adc0a25b34809","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:21:19Z","title_canon_sha256":"41ad5470c267625325d13fc390a6b47d60a84a95dee08f79ec998fb86ec09be5"},"schema_version":"1.0","source":{"id":"2505.17804","kind":"arxiv","version":1}},"canonical_sha256":"36ee09c8f0b82b50e6f63958eebd7de5d005e85135643d577879e2e74f0a534f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36ee09c8f0b82b50e6f63958eebd7de5d005e85135643d577879e2e74f0a534f","first_computed_at":"2026-07-05T11:08:32.024269Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:32.024269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O77+SINEEETP6wOwr84Fgec/QC0mScGDn6dR/I340OzaR6M8cTQpYNKCRK7+Zo4Qv3Dsb/Lebhw8CRITdYNRBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:32.024684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17804","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffb668493b32869e2422b2b29b75cbf2a8012617fec4eee99d2feb0f797af25d","sha256:7c2deb5b8261eafac6e156b7c86fd1a8e727a53ba178cfd707bce673cd91116c"],"state_sha256":"35bf49517b2f48c7626e8246f7d642d2eaa5d03071af8dfe3a3cf8eef9cd3281"}