{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:U3RHDBINZXVR6XYS4WLLFTAPTW","short_pith_number":"pith:U3RHDBIN","canonical_record":{"source":{"id":"2507.08705","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-11T16:02:24Z","cross_cats_sorted":[],"title_canon_sha256":"c8cb8af003af08505034ab2307843a496d9bdb605a2efa6a09e208692a50b7d9","abstract_canon_sha256":"95ecf94f79606a391b3f56c63c8eb1da05e6179c894b3afc1c6c1220beb468fa"},"schema_version":"1.0"},"canonical_sha256":"a6e271850dcdeb1f5f12e596b2cc0f9d9917db606785f97b01dbe26f9def38f4","source":{"kind":"arxiv","id":"2507.08705","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08705","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08705v1","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08705","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_12","alias_value":"U3RHDBINZXVR","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_16","alias_value":"U3RHDBINZXVR6XYS","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_8","alias_value":"U3RHDBIN","created_at":"2026-07-05T11:35:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:U3RHDBINZXVR6XYS4WLLFTAPTW","target":"record","payload":{"canonical_record":{"source":{"id":"2507.08705","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-11T16:02:24Z","cross_cats_sorted":[],"title_canon_sha256":"c8cb8af003af08505034ab2307843a496d9bdb605a2efa6a09e208692a50b7d9","abstract_canon_sha256":"95ecf94f79606a391b3f56c63c8eb1da05e6179c894b3afc1c6c1220beb468fa"},"schema_version":"1.0"},"canonical_sha256":"a6e271850dcdeb1f5f12e596b2cc0f9d9917db606785f97b01dbe26f9def38f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:45.191574Z","signature_b64":"rYvry4JOW9lV0tcICyJgxAcFD3ZWfA05tZg8EQaglz1K6ZKPxbR4gZIiJ/7OH3lQtQKe5Ig4zYXZrpVHcuU4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6e271850dcdeb1f5f12e596b2cc0f9d9917db606785f97b01dbe26f9def38f4","last_reissued_at":"2026-07-05T11:35:45.191133Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:45.191133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.08705","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":"2026-07-05T11:35:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zggRbvpY2E/pWWzpNKUywUc6kfz4HLFgMlBm3E+fBmFMio2pncIpXHQEANKiOzDaGlofeq743HUSBgjHzTlQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:50:58.259784Z"},"content_sha256":"e687c33acec8c82c69bfd11c7ac088ab676bbac813fd146876c6ee6a7db6e3d8","schema_version":"1.0","event_id":"sha256:e687c33acec8c82c69bfd11c7ac088ab676bbac813fd146876c6ee6a7db6e3d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:U3RHDBINZXVR6XYS4WLLFTAPTW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Andr\\'e Freitas, Danilo S. Carvalho, Philip Osborne","submitted_at":"2025-07-11T16:02:24Z","abstract_excerpt":"We present elsciRL, an open-source Python library to facilitate the application of language solutions on reinforcement learning problems. We demonstrate the potential of our software by extending the Language Adapter with Self-Completing Instruction framework defined in (Osborne, 2024) with the use of LLMs. Our approach can be re-applied to new applications with minimal setup requirements. We provide a novel GUI that allows a user to provide text input for an LLM to generate instructions which it can then self-complete. Empirical results indicate that these instructions \\textit{can} improve a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08705","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/2507.08705/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":"2026-07-05T11:35:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVAQ1pfcl8lYWsa9YKTKIGPDbXGBtaS9KHY+iR3iiQ+occUVfb8ZxTJFSNJf2rE6as6UYy/r9Dnr905y2s6wAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:50:58.291126Z"},"content_sha256":"a76dee06f8f05fcd342197bfee5e2ef3570d3de4dd2365412e4c819d5ce90e7d","schema_version":"1.0","event_id":"sha256:a76dee06f8f05fcd342197bfee5e2ef3570d3de4dd2365412e4c819d5ce90e7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/bundle.json","state_url":"https://pith.science/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/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":"2026-08-09T23:50:58Z","links":{"resolver":"https://pith.science/pith/U3RHDBINZXVR6XYS4WLLFTAPTW","bundle":"https://pith.science/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/bundle.json","state":"https://pith.science/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3RHDBINZXVR6XYS4WLLFTAPTW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U3RHDBINZXVR6XYS4WLLFTAPTW","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":"95ecf94f79606a391b3f56c63c8eb1da05e6179c894b3afc1c6c1220beb468fa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-11T16:02:24Z","title_canon_sha256":"c8cb8af003af08505034ab2307843a496d9bdb605a2efa6a09e208692a50b7d9"},"schema_version":"1.0","source":{"id":"2507.08705","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08705","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08705v1","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08705","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_12","alias_value":"U3RHDBINZXVR","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_16","alias_value":"U3RHDBINZXVR6XYS","created_at":"2026-07-05T11:35:45Z"},{"alias_kind":"pith_short_8","alias_value":"U3RHDBIN","created_at":"2026-07-05T11:35:45Z"}],"graph_snapshots":[{"event_id":"sha256:a76dee06f8f05fcd342197bfee5e2ef3570d3de4dd2365412e4c819d5ce90e7d","target":"graph","created_at":"2026-07-05T11:35:45Z","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/2507.08705/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present elsciRL, an open-source Python library to facilitate the application of language solutions on reinforcement learning problems. We demonstrate the potential of our software by extending the Language Adapter with Self-Completing Instruction framework defined in (Osborne, 2024) with the use of LLMs. Our approach can be re-applied to new applications with minimal setup requirements. We provide a novel GUI that allows a user to provide text input for an LLM to generate instructions which it can then self-complete. Empirical results indicate that these instructions \\textit{can} improve a ","authors_text":"Andr\\'e Freitas, Danilo S. Carvalho, Philip Osborne","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-11T16:02:24Z","title":"elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08705","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:e687c33acec8c82c69bfd11c7ac088ab676bbac813fd146876c6ee6a7db6e3d8","target":"record","created_at":"2026-07-05T11:35:45Z","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":"95ecf94f79606a391b3f56c63c8eb1da05e6179c894b3afc1c6c1220beb468fa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-11T16:02:24Z","title_canon_sha256":"c8cb8af003af08505034ab2307843a496d9bdb605a2efa6a09e208692a50b7d9"},"schema_version":"1.0","source":{"id":"2507.08705","kind":"arxiv","version":1}},"canonical_sha256":"a6e271850dcdeb1f5f12e596b2cc0f9d9917db606785f97b01dbe26f9def38f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6e271850dcdeb1f5f12e596b2cc0f9d9917db606785f97b01dbe26f9def38f4","first_computed_at":"2026-07-05T11:35:45.191133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:45.191133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rYvry4JOW9lV0tcICyJgxAcFD3ZWfA05tZg8EQaglz1K6ZKPxbR4gZIiJ/7OH3lQtQKe5Ig4zYXZrpVHcuU4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:45.191574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08705","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e687c33acec8c82c69bfd11c7ac088ab676bbac813fd146876c6ee6a7db6e3d8","sha256:a76dee06f8f05fcd342197bfee5e2ef3570d3de4dd2365412e4c819d5ce90e7d"],"state_sha256":"4dde95511239c204c39f8a75e0874d774be644ea2ffc0f8d714475316c547e5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wzTkedeNb1JN3GvopDtBBvPwsSHiT5kNJEhNGZjCgo5Vmas5aMvfU0tT9FvFyE6+x2uBY9kfOIWF+rkhsLTKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T23:50:58.307699Z","bundle_sha256":"211b40e537f3f747d670849c8e8edec14befadd9f71fec6015ec2d5de0ace318"}}