{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TDO6QUNY5B76I7ZKE3T5WXCULP","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":"4ace97e5822fa1227f06067428386561ef1452e974e71051c530bf6a71420ef8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2024-07-11T15:25:02Z","title_canon_sha256":"c479dc36dc0d692f3871be809e72b88eedcaa17da18c7afc833da3aef9730719"},"schema_version":"1.0","source":{"id":"2407.08597","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08597","created_at":"2026-07-05T10:32:28Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08597v2","created_at":"2026-07-05T10:32:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08597","created_at":"2026-07-05T10:32:28Z"},{"alias_kind":"pith_short_12","alias_value":"TDO6QUNY5B76","created_at":"2026-07-05T10:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"TDO6QUNY5B76I7ZK","created_at":"2026-07-05T10:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"TDO6QUNY","created_at":"2026-07-05T10:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:80f68ed1eb2e99ee40fe99fe3507a703a7a07528dcc76dee41e4030961e32a63","target":"graph","created_at":"2026-07-05T10:32:28Z","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/2407.08597/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Modelizer - a novel framework that, given a black-box program, learns a model from its input/output behavior using neural machine translation algorithms. The resulting model mocks the original program: Given an input, the model predicts the output that would have been produced by the program. However, the model is also reversible - that is, the model can predict the input that would have produced a given output. Finally, the model is differentiable and can be efficiently restricted to predict only a certain aspect of the program behavior. Modelizer uses grammars to synthesize and ","authors_text":"Alexander Koller, Andreas Zeller, Dietrich Klakow, Tural Mammadov","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2024-07-11T15:25:02Z","title":"Learning Program Behavioral Models from Synthesized Input-Output Pairs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08597","kind":"arxiv","version":2},"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:a19a7c9ad7481c6e4537a497dac0ea1faab426d7dabc8ef4f6fba37e2e00a30a","target":"record","created_at":"2026-07-05T10:32:28Z","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":"4ace97e5822fa1227f06067428386561ef1452e974e71051c530bf6a71420ef8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2024-07-11T15:25:02Z","title_canon_sha256":"c479dc36dc0d692f3871be809e72b88eedcaa17da18c7afc833da3aef9730719"},"schema_version":"1.0","source":{"id":"2407.08597","kind":"arxiv","version":2}},"canonical_sha256":"98dde851b8e87fe47f2a26e7db5c545bc09d06150ab95b967e2303e0bc6d952f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98dde851b8e87fe47f2a26e7db5c545bc09d06150ab95b967e2303e0bc6d952f","first_computed_at":"2026-07-05T10:32:28.146092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:32:28.146092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1aV5O59CoMQiUkayHppfgYj4bYL2Cc9RnrTu3UWQZ6lzDLNsU5HHjidVLMlZi5o7LuqVr8YZ80KF49ihYNkLBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:32:28.147090Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.08597","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a19a7c9ad7481c6e4537a497dac0ea1faab426d7dabc8ef4f6fba37e2e00a30a","sha256:80f68ed1eb2e99ee40fe99fe3507a703a7a07528dcc76dee41e4030961e32a63"],"state_sha256":"6e6fbf3c4c8302b1c3fd1ab5556b3cad6102c0972655566d1f8ba63c5456f4f2"}