{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VF6HRNB4DPB2VAHBPU6EDBXXKS","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":"3668606fb49819ac8877144a237a12b1ff138ce36f120d04d8f6534077f88452","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-03T06:17:44Z","title_canon_sha256":"06f2a12591af4039d5a0a15438a53e0cc4ddfc58e1ce9a7ecbaf6126856cc01e"},"schema_version":"1.0","source":{"id":"2508.01612","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01612","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01612v1","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01612","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"VF6HRNB4DPB2","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_16","alias_value":"VF6HRNB4DPB2VAHB","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_8","alias_value":"VF6HRNB4","created_at":"2026-07-05T11:47:42Z"}],"graph_snapshots":[{"event_id":"sha256:0106e790c36ee7e67a37215a611c5ab3173bb60826747b4a156bac028eab71c2","target":"graph","created_at":"2026-07-05T11:47:42Z","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/2508.01612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work proposes a novel technique Augmented Reinforcement Learning framework for the improvement of decision-making capabilities of machine learning models. The introduction of agents as external overseers checks on model decisions. The external agent can be anyone, like humans or automated scripts, that helps in decision path correction. It seeks to ascertain the priority of the \"Garbage-In, Garbage-Out\" problem that caused poor data inputs or incorrect actions in reinforcement learning. The ARL framework incorporates two external agents that aid in course correction and the guarantee of q","authors_text":"Sandesh Kumar Singh","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-03T06:17:44Z","title":"Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01612","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:d7f6c6d135a4ac3a55fbbae30c1d402edffa56c1c21c68e55d511c8c5a3331d1","target":"record","created_at":"2026-07-05T11:47:42Z","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":"3668606fb49819ac8877144a237a12b1ff138ce36f120d04d8f6534077f88452","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-03T06:17:44Z","title_canon_sha256":"06f2a12591af4039d5a0a15438a53e0cc4ddfc58e1ce9a7ecbaf6126856cc01e"},"schema_version":"1.0","source":{"id":"2508.01612","kind":"arxiv","version":1}},"canonical_sha256":"a97c78b43c1bc3aa80e17d3c4186f754bcb932780d333ed0369acb3ec56d0b72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a97c78b43c1bc3aa80e17d3c4186f754bcb932780d333ed0369acb3ec56d0b72","first_computed_at":"2026-07-05T11:47:42.259835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:42.259835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v1z0BdackS2FEElVgXQAMMQl2Jp0Kam42617PnkVTVUybTTmj4wS/M5NTEmRHGIf9oZKWZQMO2OXr4TY747mBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:42.260346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.01612","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7f6c6d135a4ac3a55fbbae30c1d402edffa56c1c21c68e55d511c8c5a3331d1","sha256:0106e790c36ee7e67a37215a611c5ab3173bb60826747b4a156bac028eab71c2"],"state_sha256":"a1105447e5d92df5a203120a91146ca48def6e5ab3c7ffcf043b3c4029951fa9"}