{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GHGGQSPLUWGJ6UEY3MG76NLXV2","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":"c69b66398c165bbf52ce6125bdd7576bb746211f8df9fc86704535b021aecd49","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-03-22T22:27:00Z","title_canon_sha256":"3e17efade78b3ebcd8e268b4e4e3158c10148fdd5d0ddaa713789afe68cb2d2a"},"schema_version":"1.0","source":{"id":"2303.16685","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16685","created_at":"2026-07-05T05:56:09Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16685v1","created_at":"2026-07-05T05:56:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16685","created_at":"2026-07-05T05:56:09Z"},{"alias_kind":"pith_short_12","alias_value":"GHGGQSPLUWGJ","created_at":"2026-07-05T05:56:09Z"},{"alias_kind":"pith_short_16","alias_value":"GHGGQSPLUWGJ6UEY","created_at":"2026-07-05T05:56:09Z"},{"alias_kind":"pith_short_8","alias_value":"GHGGQSPL","created_at":"2026-07-05T05:56:09Z"}],"graph_snapshots":[{"event_id":"sha256:b5ef87051c86372a10c0f1305c3f8370314953cae6d0134ecce87ea444b8c57c","target":"graph","created_at":"2026-07-05T05:56:09Z","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/2303.16685/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the continuous growth in communication network complexity and traffic volume, communication load balancing solutions are receiving increasing attention. Specifically, reinforcement learning (RL)-based methods have shown impressive performance compared with traditional rule-based methods. However, standard RL methods generally require an enormous amount of data to train, and generalize poorly to scenarios that are not encountered during training. We propose a policy reuse framework in which a policy selector chooses the most suitable pre-trained RL policy to execute based on the current tr","authors_text":"Di Wu, Gregory Dudek, Jimmy Li, Michael Jenkin, Seowoo Jang, Xue Liu, Yi Tian Xu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-03-22T22:27:00Z","title":"Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16685","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:d7d76cb5445fed807078b79624671bd276d5e6c95826b704cf562d668837430c","target":"record","created_at":"2026-07-05T05:56:09Z","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":"c69b66398c165bbf52ce6125bdd7576bb746211f8df9fc86704535b021aecd49","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-03-22T22:27:00Z","title_canon_sha256":"3e17efade78b3ebcd8e268b4e4e3158c10148fdd5d0ddaa713789afe68cb2d2a"},"schema_version":"1.0","source":{"id":"2303.16685","kind":"arxiv","version":1}},"canonical_sha256":"31cc6849eba58c9f5098db0dff3577ae9b5b060db384fcb3d7913a1596fc7c59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31cc6849eba58c9f5098db0dff3577ae9b5b060db384fcb3d7913a1596fc7c59","first_computed_at":"2026-07-05T05:56:09.237949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:09.237949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hc5MM05yftMYz6UzlFdoHgqbOTTe0HnVkjfqH9VthaFNjuppHTlQubOFuDdKXpmZdjUTC5jVzw/tZaP4fxB5Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:09.238363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.16685","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7d76cb5445fed807078b79624671bd276d5e6c95826b704cf562d668837430c","sha256:b5ef87051c86372a10c0f1305c3f8370314953cae6d0134ecce87ea444b8c57c"],"state_sha256":"eeedfed38b7d8fd6ae1ab7ff4ea0fb03b3d635695dff41a8e40508ad17e52837"}