{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y7522FQREQPLHPPSWQFGR57GU5","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":"ae16de23b8fb81da303e21e18a61486533522645176d89f2f077745713ef8a17","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-19T05:06:38Z","title_canon_sha256":"4be56b4f8a9c85cf07bb08a08abd4b1bdafef35fd94df10139830981aff25698"},"schema_version":"1.0","source":{"id":"2507.14487","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14487","created_at":"2026-07-05T11:40:08Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14487v1","created_at":"2026-07-05T11:40:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14487","created_at":"2026-07-05T11:40:08Z"},{"alias_kind":"pith_short_12","alias_value":"Y7522FQREQPL","created_at":"2026-07-05T11:40:08Z"},{"alias_kind":"pith_short_16","alias_value":"Y7522FQREQPLHPPS","created_at":"2026-07-05T11:40:08Z"},{"alias_kind":"pith_short_8","alias_value":"Y7522FQR","created_at":"2026-07-05T11:40:08Z"}],"graph_snapshots":[{"event_id":"sha256:46a11d7a62c2801d58c3f9bb3b004024a99d7b29da746012491929ee110ee57e","target":"graph","created_at":"2026-07-05T11:40:08Z","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/2507.14487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate a Federated Reinforcement Learning with Environment Heterogeneity (FRL-EH) framework, where local environments exhibit statistical heterogeneity. Within this framework, agents collaboratively learn a global policy by aggregating their collective experiences while preserving the privacy of their local trajectories. To better reflect real-world scenarios, we introduce a robust FRL-EH framework by presenting a novel global objective function. This function is specifically designed to optimize a global policy that ensures robust performance across heterogeneous local environments an","authors_text":"Songnam Hong, Ukjo Hwang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-19T05:06:38Z","title":"Federated Reinforcement Learning in Heterogeneous Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14487","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":"sha256:0350c0e5092a4cffa4e756cda487fb8adeeec875af6fc1cbdfb02540db1eb622","target":"record","created_at":"2026-07-05T11:40:08Z","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":"ae16de23b8fb81da303e21e18a61486533522645176d89f2f077745713ef8a17","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-19T05:06:38Z","title_canon_sha256":"4be56b4f8a9c85cf07bb08a08abd4b1bdafef35fd94df10139830981aff25698"},"schema_version":"1.0","source":{"id":"2507.14487","kind":"arxiv","version":1}},"canonical_sha256":"c7fbad1611241eb3bdf2b40a68f7e6a7623d44e1b182a1d631a9532c37e514e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7fbad1611241eb3bdf2b40a68f7e6a7623d44e1b182a1d631a9532c37e514e3","first_computed_at":"2026-07-05T11:40:08.063785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:08.063785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sz1xss9eWZ0aG3z0FvgAwgfoC7OBs3A35zBVW3uemRv7zpzgje2Va1UphjDdM5oGu4TGV87PGaYNa96LcYueBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:08.064292Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14487","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0350c0e5092a4cffa4e756cda487fb8adeeec875af6fc1cbdfb02540db1eb622","sha256:46a11d7a62c2801d58c3f9bb3b004024a99d7b29da746012491929ee110ee57e"],"state_sha256":"02ea9e42d62747e234f7115ba8542f24ad71f301a192615bb06b67b730b0b982"}