{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EJBZHNIFA7RDHSWIYE22OQ6AD4","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":"20170b0131998a9039df002b1c06f3ff668d51f96dada286378d08d1fafdda3d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-19T16:29:13Z","title_canon_sha256":"b143aba082f19ff32b7c13226a653c1b1183811618b83ac82c1e7caaf2170774"},"schema_version":"1.0","source":{"id":"2607.17326","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.17326","created_at":"2026-07-21T01:21:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.17326v1","created_at":"2026-07-21T01:21:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17326","created_at":"2026-07-21T01:21:27Z"},{"alias_kind":"pith_short_12","alias_value":"EJBZHNIFA7RD","created_at":"2026-07-21T01:21:27Z"},{"alias_kind":"pith_short_16","alias_value":"EJBZHNIFA7RDHSWI","created_at":"2026-07-21T01:21:27Z"},{"alias_kind":"pith_short_8","alias_value":"EJBZHNIF","created_at":"2026-07-21T01:21:27Z"}],"graph_snapshots":[{"event_id":"sha256:e97ece33af2483d79ea14473c3fbf372c54463b0d99072297914d3ccfdf1e4e8","target":"graph","created_at":"2026-07-21T01:21:27Z","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/2607.17326/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer-oriented reinforcement learning requires evaluating algorithms along dimensions that go beyond standard sample efficiency. We focus on two dimensions: practical efficiency, which asks whether conclusions about algorithm suitability change under wall-clock rather than interaction-based budgets, and robustness under dynamics mismatch, which asks how different learning paradigms respond to variability in the training distribution induced by domain randomization. We provide two insights to reinforcement-learning practitioners. First, comparing the sample efficiency of different algorithms","authors_text":"Abhishek Naik, A. Rupam Mahmood, Colin Bellinger, Hany Hamed","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-19T16:29:13Z","title":"Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17326","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:eed4188bad69054ce869b9251cb3cd7a2d1210be0b7dd252c930ea15ba09a65f","target":"record","created_at":"2026-07-21T01:21:27Z","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":"20170b0131998a9039df002b1c06f3ff668d51f96dada286378d08d1fafdda3d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-19T16:29:13Z","title_canon_sha256":"b143aba082f19ff32b7c13226a653c1b1183811618b83ac82c1e7caaf2170774"},"schema_version":"1.0","source":{"id":"2607.17326","kind":"arxiv","version":1}},"canonical_sha256":"224393b50507e233cac8c135a743c01f33f4fb5bf5f2e783163593496b721c33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"224393b50507e233cac8c135a743c01f33f4fb5bf5f2e783163593496b721c33","first_computed_at":"2026-07-21T01:21:27.425336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T01:21:27.425336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O1cVXySSeoN2+7h1SIJbGBlLmfMMHjkBs2E9T2+qBJ7Qo03mD0dQhXdo0yq/YlY/7dftGCtcdlU7wF7ITK5iBg==","signature_status":"signed_v1","signed_at":"2026-07-21T01:21:27.426176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.17326","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eed4188bad69054ce869b9251cb3cd7a2d1210be0b7dd252c930ea15ba09a65f","sha256:e97ece33af2483d79ea14473c3fbf372c54463b0d99072297914d3ccfdf1e4e8"],"state_sha256":"9309302b45fd4075eb34409ac5292b81b2a7fa14ca1a0a5c3aed25c1af520ad3"}