{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KDYHYMV6R7H47KJBSFFLFELHNB","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":"769fc20888e95926eb3258e3a4ed2bb7a468e841da59d0b81697a6749581ffc9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-10-06T01:01:21Z","title_canon_sha256":"6de3f575100d2e014048693534aaf662f148b8cd2579fda4a7f162d8457f601f"},"schema_version":"1.0","source":{"id":"2410.04322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04322","created_at":"2026-07-05T09:16:32Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04322v1","created_at":"2026-07-05T09:16:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04322","created_at":"2026-07-05T09:16:32Z"},{"alias_kind":"pith_short_12","alias_value":"KDYHYMV6R7H4","created_at":"2026-07-05T09:16:32Z"},{"alias_kind":"pith_short_16","alias_value":"KDYHYMV6R7H47KJB","created_at":"2026-07-05T09:16:32Z"},{"alias_kind":"pith_short_8","alias_value":"KDYHYMV6","created_at":"2026-07-05T09:16:32Z"}],"graph_snapshots":[{"event_id":"sha256:a60e770839bde41b9c739cabb56d88a6991496ea18999946bec8535826f9fd05","target":"graph","created_at":"2026-07-05T09:16:32Z","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/2410.04322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning (DRL) has shown success in diverse domains such as robotics, computer games, and recommendation systems. However, like any other software system, DRL-based software systems are susceptible to faults that pose unique challenges for debugging and diagnosing. These faults often result in unexpected behavior without explicit failures and error messages, making debugging difficult and time-consuming. Therefore, automating the monitoring and diagnosis of DRL systems is crucial to alleviate the burden on developers. In this paper, we propose RLExplorer, the first fault dia","authors_text":"Ahmed Haj Yahmed, Amin Nikanjam, Darshan Patil, Foutse Khomh, Janarthanan Rajendran, Rached Bouchoucha, Sarath Chandar","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-10-06T01:01:21Z","title":"Toward Debugging Deep Reinforcement Learning Programs with RLExplorer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04322","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:e2936e0626b2b40e93ab46849711e7b9195907363d89be0b4938748de4cfe19a","target":"record","created_at":"2026-07-05T09:16:32Z","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":"769fc20888e95926eb3258e3a4ed2bb7a468e841da59d0b81697a6749581ffc9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-10-06T01:01:21Z","title_canon_sha256":"6de3f575100d2e014048693534aaf662f148b8cd2579fda4a7f162d8457f601f"},"schema_version":"1.0","source":{"id":"2410.04322","kind":"arxiv","version":1}},"canonical_sha256":"50f07c32be8fcfcfa921914ab291676842f8a1ccd8dd642c040f4ac0858c9b14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50f07c32be8fcfcfa921914ab291676842f8a1ccd8dd642c040f4ac0858c9b14","first_computed_at":"2026-07-05T09:16:32.861875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:16:32.861875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HCu0V6fB2lf4+4v52wf/JiRN0j4yqnik1Wxl4qSnEFClE0HFEpssQShJctpVXKlp1zQZBmu/ToEzlY56uPUeBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:16:32.862380Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2936e0626b2b40e93ab46849711e7b9195907363d89be0b4938748de4cfe19a","sha256:a60e770839bde41b9c739cabb56d88a6991496ea18999946bec8535826f9fd05"],"state_sha256":"77e6fe6084d70d240661c8de418b642a33fd6b3124b1831dc0efaaea36e318ca"}