{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AQWZANENAYGYCD7HUWWVYQVSXN","short_pith_number":"pith:AQWZANEN","canonical_record":{"source":{"id":"2412.08725","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-12-11T19:00:09Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3e47481e89f34d9b09071ae47bfb35bf88422c68ec7e0e5085b35caa160b2449","abstract_canon_sha256":"9a9a6f24731d492f9d99be32be748bc28a3a4decfae9b11f6e914025ac0c0511"},"schema_version":"1.0"},"canonical_sha256":"042d90348d060d810fe7a5ad5c42b2bb4dc6376764c514d893e085fc75df8b6e","source":{"kind":"arxiv","id":"2412.08725","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08725","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08725v1","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08725","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_12","alias_value":"AQWZANENAYGY","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_16","alias_value":"AQWZANENAYGYCD7H","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_8","alias_value":"AQWZANEN","created_at":"2026-07-05T09:47:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AQWZANENAYGYCD7HUWWVYQVSXN","target":"record","payload":{"canonical_record":{"source":{"id":"2412.08725","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-12-11T19:00:09Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3e47481e89f34d9b09071ae47bfb35bf88422c68ec7e0e5085b35caa160b2449","abstract_canon_sha256":"9a9a6f24731d492f9d99be32be748bc28a3a4decfae9b11f6e914025ac0c0511"},"schema_version":"1.0"},"canonical_sha256":"042d90348d060d810fe7a5ad5c42b2bb4dc6376764c514d893e085fc75df8b6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:59.486288Z","signature_b64":"BfIAi/Cct5UF++ecq2SMIKuFcptuWm7xHUNsKMkin3CpqE9kKdVpHCuwhfje5bMVz+MYpogfANDcG4SpIZEDDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"042d90348d060d810fe7a5ad5c42b2bb4dc6376764c514d893e085fc75df8b6e","last_reissued_at":"2026-07-05T09:47:59.485822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:59.485822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.08725","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":"2026-07-05T09:47:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZlnwykFlB5YV20m9sQP9OLYxFBG5pSqpj4xg92PNCdwN/adCWGKoj52tHBi5AmCLhL7cDWE12OVScJ6OxiVXAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:40:17.651326Z"},"content_sha256":"d645b42b0cb93fd3d203fc33efb67a8a8c85b0e4cdb8a403a3698e8bd1cd7709","schema_version":"1.0","event_id":"sha256:d645b42b0cb93fd3d203fc33efb67a8a8c85b0e4cdb8a403a3698e8bd1cd7709"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AQWZANENAYGYCD7HUWWVYQVSXN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A quantum-classical reinforcement learning model to play Atari games","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"quant-ph","authors_text":"Dominik Freinberger, Julian Lemmel, Radu Grosu, Sofiene Jerbi","submitted_at":"2024-12-11T19:00:09Z","abstract_excerpt":"Recent advances in reinforcement learning have demonstrated the potential of quantum learning models based on parametrized quantum circuits as an alternative to deep learning models. On the one hand, these findings have shown the ultimate exponential speed-ups in learning that full-blown quantum models can offer in certain -- artificially constructed -- environments. On the other hand, they have demonstrated the ability of experimentally accessible PQCs to solve OpenAI Gym benchmarking tasks. However, it remains an open question whether these near-term QRL techniques can be successfully applie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08725","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/2412.08725/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":"2026-07-05T09:47:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VxDLxIcJFTByUH870Axl8o6UWKmzlbY6XW7iT0rOO9uSS9hdKy3UZ0rXW8Plu9K5MlHeKuolq/WkS7VRTgcsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:40:17.652254Z"},"content_sha256":"8bc452ab817761a1757c234673e11865ad4f4f9f1fb95a6d513d2e84539381e2","schema_version":"1.0","event_id":"sha256:8bc452ab817761a1757c234673e11865ad4f4f9f1fb95a6d513d2e84539381e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AQWZANENAYGYCD7HUWWVYQVSXN/bundle.json","state_url":"https://pith.science/pith/AQWZANENAYGYCD7HUWWVYQVSXN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AQWZANENAYGYCD7HUWWVYQVSXN/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":"2026-08-16T00:40:17Z","links":{"resolver":"https://pith.science/pith/AQWZANENAYGYCD7HUWWVYQVSXN","bundle":"https://pith.science/pith/AQWZANENAYGYCD7HUWWVYQVSXN/bundle.json","state":"https://pith.science/pith/AQWZANENAYGYCD7HUWWVYQVSXN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AQWZANENAYGYCD7HUWWVYQVSXN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AQWZANENAYGYCD7HUWWVYQVSXN","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":"9a9a6f24731d492f9d99be32be748bc28a3a4decfae9b11f6e914025ac0c0511","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-12-11T19:00:09Z","title_canon_sha256":"3e47481e89f34d9b09071ae47bfb35bf88422c68ec7e0e5085b35caa160b2449"},"schema_version":"1.0","source":{"id":"2412.08725","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08725","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08725v1","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08725","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_12","alias_value":"AQWZANENAYGY","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_16","alias_value":"AQWZANENAYGYCD7H","created_at":"2026-07-05T09:47:59Z"},{"alias_kind":"pith_short_8","alias_value":"AQWZANEN","created_at":"2026-07-05T09:47:59Z"}],"graph_snapshots":[{"event_id":"sha256:8bc452ab817761a1757c234673e11865ad4f4f9f1fb95a6d513d2e84539381e2","target":"graph","created_at":"2026-07-05T09:47:59Z","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/2412.08725/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in reinforcement learning have demonstrated the potential of quantum learning models based on parametrized quantum circuits as an alternative to deep learning models. On the one hand, these findings have shown the ultimate exponential speed-ups in learning that full-blown quantum models can offer in certain -- artificially constructed -- environments. On the other hand, they have demonstrated the ability of experimentally accessible PQCs to solve OpenAI Gym benchmarking tasks. However, it remains an open question whether these near-term QRL techniques can be successfully applie","authors_text":"Dominik Freinberger, Julian Lemmel, Radu Grosu, Sofiene Jerbi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-12-11T19:00:09Z","title":"A quantum-classical reinforcement learning model to play Atari games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08725","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:d645b42b0cb93fd3d203fc33efb67a8a8c85b0e4cdb8a403a3698e8bd1cd7709","target":"record","created_at":"2026-07-05T09:47:59Z","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":"9a9a6f24731d492f9d99be32be748bc28a3a4decfae9b11f6e914025ac0c0511","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-12-11T19:00:09Z","title_canon_sha256":"3e47481e89f34d9b09071ae47bfb35bf88422c68ec7e0e5085b35caa160b2449"},"schema_version":"1.0","source":{"id":"2412.08725","kind":"arxiv","version":1}},"canonical_sha256":"042d90348d060d810fe7a5ad5c42b2bb4dc6376764c514d893e085fc75df8b6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"042d90348d060d810fe7a5ad5c42b2bb4dc6376764c514d893e085fc75df8b6e","first_computed_at":"2026-07-05T09:47:59.485822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:59.485822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BfIAi/Cct5UF++ecq2SMIKuFcptuWm7xHUNsKMkin3CpqE9kKdVpHCuwhfje5bMVz+MYpogfANDcG4SpIZEDDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:59.486288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08725","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d645b42b0cb93fd3d203fc33efb67a8a8c85b0e4cdb8a403a3698e8bd1cd7709","sha256:8bc452ab817761a1757c234673e11865ad4f4f9f1fb95a6d513d2e84539381e2"],"state_sha256":"d9be9f5a97244193e9746850d8fc32a352ea4e9e8b4250a67e16cbfff008b178"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bG6qbnLVRMD1WZ3IbRtcgktblMTyK39xwMK98BeXxXWK2A30txfcM1ogcipV4Gt4GiKG0Q+CespwNnGbgnbyCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T00:40:17.658309Z","bundle_sha256":"ede48c583612c492003dac8a47f4974d101e5927d8b714cd805dbd2903ea4617"}}