{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LETPGUWXQVADSWEV27MX3OPY6J","short_pith_number":"pith:LETPGUWX","canonical_record":{"source":{"id":"2509.10771","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-09-13T01:31:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"442f25150d31fb8717d9bf7f80b9995600a28590836dfa6e2d6f6b591ebd4704","abstract_canon_sha256":"34338a085491d6f42b5dbdc914f1c5973e8d8f854eedb6c7f6f7c40f65a56b35"},"schema_version":"1.0"},"canonical_sha256":"5926f352d78540395895d7d97db9f8f2457948d94eb6e45d11011b19fa3dde50","source":{"kind":"arxiv","id":"2509.10771","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10771","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10771v1","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10771","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_12","alias_value":"LETPGUWXQVAD","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_16","alias_value":"LETPGUWXQVADSWEV","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_8","alias_value":"LETPGUWX","created_at":"2026-07-05T12:11:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LETPGUWXQVADSWEV27MX3OPY6J","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10771","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-09-13T01:31:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"442f25150d31fb8717d9bf7f80b9995600a28590836dfa6e2d6f6b591ebd4704","abstract_canon_sha256":"34338a085491d6f42b5dbdc914f1c5973e8d8f854eedb6c7f6f7c40f65a56b35"},"schema_version":"1.0"},"canonical_sha256":"5926f352d78540395895d7d97db9f8f2457948d94eb6e45d11011b19fa3dde50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:27.756783Z","signature_b64":"qWbbiLAqnWtghQoqF678AAbJjWn/E0bxJj5TETmFY1U+re12soBLBZNu91jmbTnsyzCXk/S7K9DY/U5NMsjqAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5926f352d78540395895d7d97db9f8f2457948d94eb6e45d11011b19fa3dde50","last_reissued_at":"2026-07-05T12:11:27.756230Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:27.756230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10771","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:11:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JGOjdEW0JBocqIyTAwu3NQxgyjIGb45dGTMKAWmW3bc70fbOIPWe1hJSGWcAcbpbz3rn8hhRDINaB9H09j+XAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:44:04.817108Z"},"content_sha256":"d798b91870b70616e82327b05c094af009e1834a5aabaaf4ad5aa5ac0715d09b","schema_version":"1.0","event_id":"sha256:d798b91870b70616e82327b05c094af009e1834a5aabaaf4ad5aa5ac0715d09b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LETPGUWXQVADSWEV27MX3OPY6J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RSL-RL: A Learning Library for Robotics Research","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Clemens Schwarke, David Hoeller, Marco Hutter, Mayank Mittal, Nikita Rudin","submitted_at":"2025-09-13T01:31:43Z","abstract_excerpt":"RSL-RL is an open-source Reinforcement Learning library tailored to the specific needs of the robotics community. Unlike broad general-purpose frameworks, its design philosophy prioritizes a compact and easily modifiable codebase, allowing researchers to adapt and extend algorithms with minimal overhead. The library focuses on algorithms most widely adopted in robotics, together with auxiliary techniques that address robotics-specific challenges. Optimized for GPU-only training, RSL-RL achieves high-throughput performance in large-scale simulation environments. Its effectiveness has been valid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10771","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2509.10771/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:11:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9R3imhFUQF9Zs2cpSY9EC7X0MIZwb34gshb6Wmwd94F44RIdLeYZv8rn3BKEBAtQQbrybjKj8ft74f++dZeQDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:44:04.817812Z"},"content_sha256":"b89fea3b789a3f9164a8185b6dd4d0545be69f495dab547efdefcbd8b2c84aff","schema_version":"1.0","event_id":"sha256:b89fea3b789a3f9164a8185b6dd4d0545be69f495dab547efdefcbd8b2c84aff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LETPGUWXQVADSWEV27MX3OPY6J/bundle.json","state_url":"https://pith.science/pith/LETPGUWXQVADSWEV27MX3OPY6J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LETPGUWXQVADSWEV27MX3OPY6J/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T15:44:04Z","links":{"resolver":"https://pith.science/pith/LETPGUWXQVADSWEV27MX3OPY6J","bundle":"https://pith.science/pith/LETPGUWXQVADSWEV27MX3OPY6J/bundle.json","state":"https://pith.science/pith/LETPGUWXQVADSWEV27MX3OPY6J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LETPGUWXQVADSWEV27MX3OPY6J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LETPGUWXQVADSWEV27MX3OPY6J","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":"34338a085491d6f42b5dbdc914f1c5973e8d8f854eedb6c7f6f7c40f65a56b35","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-09-13T01:31:43Z","title_canon_sha256":"442f25150d31fb8717d9bf7f80b9995600a28590836dfa6e2d6f6b591ebd4704"},"schema_version":"1.0","source":{"id":"2509.10771","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10771","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10771v1","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10771","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_12","alias_value":"LETPGUWXQVAD","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_16","alias_value":"LETPGUWXQVADSWEV","created_at":"2026-07-05T12:11:27Z"},{"alias_kind":"pith_short_8","alias_value":"LETPGUWX","created_at":"2026-07-05T12:11:27Z"}],"graph_snapshots":[{"event_id":"sha256:b89fea3b789a3f9164a8185b6dd4d0545be69f495dab547efdefcbd8b2c84aff","target":"graph","created_at":"2026-07-05T12:11:27Z","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/2509.10771/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RSL-RL is an open-source Reinforcement Learning library tailored to the specific needs of the robotics community. Unlike broad general-purpose frameworks, its design philosophy prioritizes a compact and easily modifiable codebase, allowing researchers to adapt and extend algorithms with minimal overhead. The library focuses on algorithms most widely adopted in robotics, together with auxiliary techniques that address robotics-specific challenges. Optimized for GPU-only training, RSL-RL achieves high-throughput performance in large-scale simulation environments. Its effectiveness has been valid","authors_text":"Clemens Schwarke, David Hoeller, Marco Hutter, Mayank Mittal, Nikita Rudin","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-09-13T01:31:43Z","title":"RSL-RL: A Learning Library for Robotics Research"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10771","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:d798b91870b70616e82327b05c094af009e1834a5aabaaf4ad5aa5ac0715d09b","target":"record","created_at":"2026-07-05T12:11:27Z","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":"34338a085491d6f42b5dbdc914f1c5973e8d8f854eedb6c7f6f7c40f65a56b35","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-09-13T01:31:43Z","title_canon_sha256":"442f25150d31fb8717d9bf7f80b9995600a28590836dfa6e2d6f6b591ebd4704"},"schema_version":"1.0","source":{"id":"2509.10771","kind":"arxiv","version":1}},"canonical_sha256":"5926f352d78540395895d7d97db9f8f2457948d94eb6e45d11011b19fa3dde50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5926f352d78540395895d7d97db9f8f2457948d94eb6e45d11011b19fa3dde50","first_computed_at":"2026-07-05T12:11:27.756230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:27.756230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qWbbiLAqnWtghQoqF678AAbJjWn/E0bxJj5TETmFY1U+re12soBLBZNu91jmbTnsyzCXk/S7K9DY/U5NMsjqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:27.756783Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10771","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d798b91870b70616e82327b05c094af009e1834a5aabaaf4ad5aa5ac0715d09b","sha256:b89fea3b789a3f9164a8185b6dd4d0545be69f495dab547efdefcbd8b2c84aff"],"state_sha256":"2ccc7755256aa8e1979756392cca037ec02652b922c2e40e97346a9e31848abd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iaSB/iIpVAeXxDSH/Ky2c++2T7JEWYsLETedXkr3Byudxg5If/WWTRwlIUmYc7A1T/jKV11UI4uj1W3wIekMAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T15:44:04.822401Z","bundle_sha256":"3af1584ad67ebb10f4ec08e3c2cd8619d62eba8bdb9f7f33b7bcdd03da0d2d53"}}