{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NLNQ27NGEXSBZWSTH6RM4EKXVA","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":"1554a2d73a755b814a8d6db6177db4bb10e9b823dbc79b444a579dc690aeed17","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T06:32:55Z","title_canon_sha256":"a31b7d7dc97f9c19417163705750fa6c331c9f512cdcfeff1b45296115b217fd"},"schema_version":"1.0","source":{"id":"2606.00561","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00561","created_at":"2026-06-02T01:03:58Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00561v1","created_at":"2026-06-02T01:03:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00561","created_at":"2026-06-02T01:03:58Z"},{"alias_kind":"pith_short_12","alias_value":"NLNQ27NGEXSB","created_at":"2026-06-02T01:03:58Z"},{"alias_kind":"pith_short_16","alias_value":"NLNQ27NGEXSBZWST","created_at":"2026-06-02T01:03:58Z"},{"alias_kind":"pith_short_8","alias_value":"NLNQ27NG","created_at":"2026-06-02T01:03:58Z"}],"graph_snapshots":[{"event_id":"sha256:d75a791fb6d8e956d58cc7366f3367fd319621d37517927fdb129b546b4801a9","target":"graph","created_at":"2026-06-02T01:03:58Z","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/2606.00561/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning (RL) offers a promising route to real-time power grid operation, yet large neural policies are costly to evaluate, hard to deploy on constrained hardware, and opaque to operators. We ask whether a Proximal Policy Optimization (PPO) agent for grid topology control can be compressed into compact tree-based surrogates without losing operational performance. A PPO teacher is trained on Grid2Op's standard 14-bus environment with a stability-oriented reward, using stress-focused data collection on critical, high-loading states. The policy is then distilled into a decision","authors_text":"Aleksandra Dmitruka, Karlis Freivalds","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T06:32:55Z","title":"Interpretable Policy Distillation for Power Grid Topology Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00561","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":"sha256:6eb903d3ef2b2548b5228efa2c32e7983da5bc3c8fd0b124cbffc474b595cc87","target":"record","created_at":"2026-06-02T01:03:58Z","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":"1554a2d73a755b814a8d6db6177db4bb10e9b823dbc79b444a579dc690aeed17","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-30T06:32:55Z","title_canon_sha256":"a31b7d7dc97f9c19417163705750fa6c331c9f512cdcfeff1b45296115b217fd"},"schema_version":"1.0","source":{"id":"2606.00561","kind":"arxiv","version":1}},"canonical_sha256":"6adb0d7da625e41cda533fa2ce1157a80d80e24042f3d1138f5e6ae6320f3342","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6adb0d7da625e41cda533fa2ce1157a80d80e24042f3d1138f5e6ae6320f3342","first_computed_at":"2026-06-02T01:03:58.313458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:58.313458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8OljxedWtgXVPBL9G3DdG0ga3p1zH739WeyT1cX7ssYWl3YwUFaSz+P2OUS4pYKF6Sjs75G1o3ggfe3AelLlCg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:58.313999Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00561","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6eb903d3ef2b2548b5228efa2c32e7983da5bc3c8fd0b124cbffc474b595cc87","sha256:d75a791fb6d8e956d58cc7366f3367fd319621d37517927fdb129b546b4801a9"],"state_sha256":"94b9bca98b7a7de66886b6307c7acdd5c84ba05ebda9db01dd8882ed5ed0d0ca"}