{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Q62BGK5NBSUJFJHG3QG3FN3G5J","short_pith_number":"pith:Q62BGK5N","canonical_record":{"source":{"id":"2507.07593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-10T09:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"9baf4d89ddaa18ed09b5037342057ca2255434f249dec53a91a1dc13b28161f2","abstract_canon_sha256":"8b60eb9f1e36977a60cf9442ef1c66b48e3e1fe97a491ffa9a860bfba849fa6e"},"schema_version":"1.0"},"canonical_sha256":"87b4132bad0ca892a4e6dc0db2b766ea5ae2942125e4dac9172f2e7184c6abc4","source":{"kind":"arxiv","id":"2507.07593","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07593","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07593v1","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07593","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_12","alias_value":"Q62BGK5NBSUJ","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_16","alias_value":"Q62BGK5NBSUJFJHG","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_8","alias_value":"Q62BGK5N","created_at":"2026-07-05T11:35:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Q62BGK5NBSUJFJHG3QG3FN3G5J","target":"record","payload":{"canonical_record":{"source":{"id":"2507.07593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-10T09:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"9baf4d89ddaa18ed09b5037342057ca2255434f249dec53a91a1dc13b28161f2","abstract_canon_sha256":"8b60eb9f1e36977a60cf9442ef1c66b48e3e1fe97a491ffa9a860bfba849fa6e"},"schema_version":"1.0"},"canonical_sha256":"87b4132bad0ca892a4e6dc0db2b766ea5ae2942125e4dac9172f2e7184c6abc4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:01.553649Z","signature_b64":"qaJZscImUQZqEHdWrpMYZbo3CyXs4fGRW5B8/BPR5du/DnN3h26szFn4mJwu5Zr0I83CWK7bIfij/F31dc20BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87b4132bad0ca892a4e6dc0db2b766ea5ae2942125e4dac9172f2e7184c6abc4","last_reissued_at":"2026-07-05T11:35:01.553178Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:01.553178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.07593","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":"2026-07-05T11:35:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/tckyswUtIzEsJkCup3QRVXqSn3B/2CeXR/1TGUMxVJ/dRW/sxYgKiuJTMBD6KPRCGW895bxBLBpfpPZiq8xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:48.725675Z"},"content_sha256":"2cc124e6b4edca874789b33ab7a55c204daaa76fbca2a664a0163c87bb83a8be","schema_version":"1.0","event_id":"sha256:2cc124e6b4edca874789b33ab7a55c204daaa76fbca2a664a0163c87bb83a8be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Q62BGK5NBSUJFJHG3QG3FN3G5J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Andreas Rosskopf, Georg Kruse, Jeanette Miriam Lorenz, Robert Wille, Rodrigo Coelho","submitted_at":"2025-07-10T09:53:39Z","abstract_excerpt":"At the interception between quantum computing and machine learning, Quantum Reinforcement Learning (QRL) has emerged as a promising research field. Due to its novelty, a standardized and comprehensive collection for QRL algorithms has not yet been established. Researchers rely on numerous software stacks for classical Reinforcement Learning (RL) as well as on various quantum computing frameworks for the implementation of the quantum subroutines of their QRL algorithms. Inspired by the CleanRL library for classical RL algorithms, we present CleanQRL, a library that offers single-script implemen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07593","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/2507.07593/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":"2026-07-05T11:35:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SO8myCIbnB1kfKL/f1vFMylx3UhH3bvE5tT9yUUzqsWFjMYXyUO297iLCZMXGqJzhH+tcKmLk2gCzILfQOkWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:48.726044Z"},"content_sha256":"a2450d1017f416c96fd21c59bd403177c983ab635ea2267dde77d92908c4bca8","schema_version":"1.0","event_id":"sha256:a2450d1017f416c96fd21c59bd403177c983ab635ea2267dde77d92908c4bca8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/bundle.json","state_url":"https://pith.science/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/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":"2026-08-17T23:05:48Z","links":{"resolver":"https://pith.science/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J","bundle":"https://pith.science/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/bundle.json","state":"https://pith.science/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q62BGK5NBSUJFJHG3QG3FN3G5J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Q62BGK5NBSUJFJHG3QG3FN3G5J","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":"8b60eb9f1e36977a60cf9442ef1c66b48e3e1fe97a491ffa9a860bfba849fa6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-10T09:53:39Z","title_canon_sha256":"9baf4d89ddaa18ed09b5037342057ca2255434f249dec53a91a1dc13b28161f2"},"schema_version":"1.0","source":{"id":"2507.07593","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07593","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07593v1","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07593","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_12","alias_value":"Q62BGK5NBSUJ","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_16","alias_value":"Q62BGK5NBSUJFJHG","created_at":"2026-07-05T11:35:01Z"},{"alias_kind":"pith_short_8","alias_value":"Q62BGK5N","created_at":"2026-07-05T11:35:01Z"}],"graph_snapshots":[{"event_id":"sha256:a2450d1017f416c96fd21c59bd403177c983ab635ea2267dde77d92908c4bca8","target":"graph","created_at":"2026-07-05T11:35:01Z","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/2507.07593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"At the interception between quantum computing and machine learning, Quantum Reinforcement Learning (QRL) has emerged as a promising research field. Due to its novelty, a standardized and comprehensive collection for QRL algorithms has not yet been established. Researchers rely on numerous software stacks for classical Reinforcement Learning (RL) as well as on various quantum computing frameworks for the implementation of the quantum subroutines of their QRL algorithms. Inspired by the CleanRL library for classical RL algorithms, we present CleanQRL, a library that offers single-script implemen","authors_text":"Andreas Rosskopf, Georg Kruse, Jeanette Miriam Lorenz, Robert Wille, Rodrigo Coelho","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-10T09:53:39Z","title":"CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07593","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":"sha256:2cc124e6b4edca874789b33ab7a55c204daaa76fbca2a664a0163c87bb83a8be","target":"record","created_at":"2026-07-05T11:35:01Z","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":"8b60eb9f1e36977a60cf9442ef1c66b48e3e1fe97a491ffa9a860bfba849fa6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-10T09:53:39Z","title_canon_sha256":"9baf4d89ddaa18ed09b5037342057ca2255434f249dec53a91a1dc13b28161f2"},"schema_version":"1.0","source":{"id":"2507.07593","kind":"arxiv","version":1}},"canonical_sha256":"87b4132bad0ca892a4e6dc0db2b766ea5ae2942125e4dac9172f2e7184c6abc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87b4132bad0ca892a4e6dc0db2b766ea5ae2942125e4dac9172f2e7184c6abc4","first_computed_at":"2026-07-05T11:35:01.553178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:01.553178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qaJZscImUQZqEHdWrpMYZbo3CyXs4fGRW5B8/BPR5du/DnN3h26szFn4mJwu5Zr0I83CWK7bIfij/F31dc20BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:01.553649Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07593","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cc124e6b4edca874789b33ab7a55c204daaa76fbca2a664a0163c87bb83a8be","sha256:a2450d1017f416c96fd21c59bd403177c983ab635ea2267dde77d92908c4bca8"],"state_sha256":"de1adab76ea13cdce2514ddae79595d4b1962fb76f733e9a451ce8e1f158c048"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wfcOKbYQw0+HZx7UmwX5oxI4oe/0eNxRq1GMO3PE0pTT02FQbwKWmxnBcjVngE7RA7HkVytKFLCjVmcN3ZCmDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:05:48.728670Z","bundle_sha256":"43b20d3b8487b53840abb2a83eca18fe811a2bc5b289e3444780817809024715"}}