{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:NMECLLIFSAC7OOD2OKHXPWXLQH","short_pith_number":"pith:NMECLLIF","canonical_record":{"source":{"id":"2208.11510","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2022-08-22T22:46:52Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"title_canon_sha256":"a3354a3406d690ec91a4b7ee28f75c7e7433abddb6ca1e0ff7952b3f5f0043a0","abstract_canon_sha256":"5acf918a11a9b20557467f1f610b9635a2d6a41024154c2fec84821314898ec0"},"schema_version":"1.0"},"canonical_sha256":"6b0825ad059005f7387a728f77daeb81d334b0be8cd9305b60e48151094760c3","source":{"kind":"arxiv","id":"2208.11510","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.11510","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2208.11510v4","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.11510","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"NMECLLIFSAC7","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"NMECLLIFSAC7OOD2","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"NMECLLIF","created_at":"2026-07-05T05:19:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:NMECLLIFSAC7OOD2OKHXPWXLQH","target":"record","payload":{"canonical_record":{"source":{"id":"2208.11510","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2022-08-22T22:46:52Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"title_canon_sha256":"a3354a3406d690ec91a4b7ee28f75c7e7433abddb6ca1e0ff7952b3f5f0043a0","abstract_canon_sha256":"5acf918a11a9b20557467f1f610b9635a2d6a41024154c2fec84821314898ec0"},"schema_version":"1.0"},"canonical_sha256":"6b0825ad059005f7387a728f77daeb81d334b0be8cd9305b60e48151094760c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:19:54.713274Z","signature_b64":"Ackg8SME3JwQuYo8SB3PkkMk0alkYwcGTtHp4OJQPr/+OmlD9Tn3LNPmjiQ0FrN4lhXuWhDfGKOVYxk3sO64Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b0825ad059005f7387a728f77daeb81d334b0be8cd9305b60e48151094760c3","last_reissued_at":"2026-07-05T05:19:54.712799Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:19:54.712799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.11510","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Iewz4B5/4UiPPAOgofYnoiKu0WD/LAyqG5wwxQNdVLS/NoORnP0hF4OxNXhqtQrVt0SInhxHe5pIESnJLYkCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:03:08.238881Z"},"content_sha256":"72bccffd47ec5650a8bc2e27cb794dca4c364492b91d34f88007d8f6de06caf7","schema_version":"1.0","event_id":"sha256:72bccffd47ec5650a8bc2e27cb794dca4c364492b91d34f88007d8f6de06caf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:NMECLLIFSAC7OOD2OKHXPWXLQH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Multi-Agent Meta Reinforcement Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MA"],"primary_cat":"quant-ph","authors_text":"Jihong Park, Joongheon Kim, Won Joon Yun","submitted_at":"2022-08-22T22:46:52Z","abstract_excerpt":"Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of practical quantum computing. Motivated by this, in this article we re-design multi-agent reinforcement learning (MARL) based on the unique characteristics of quantum neural networks (QNNs) having two separate dimensions of trainable parameters: angle parameters affecting the output qubit states, and pole parameters associated with the output measurement basis. Exploiting this dyadic trainability as meta-learning capabilit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.11510","kind":"arxiv","version":4},"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/2208.11510/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":"2026-07-05T05:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PhyOHnKzB5aU/520ot53BQQyso/qtLwBsUoywoXQH/2pXtfMmAZGTQOO9MOUI2nxRUvJDnV1QQLAyhBdS9itCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:03:08.239432Z"},"content_sha256":"7c7d40511d4104441f37f452de476b7082bdab3f50df95ea28e8bba3d6bc8ddc","schema_version":"1.0","event_id":"sha256:7c7d40511d4104441f37f452de476b7082bdab3f50df95ea28e8bba3d6bc8ddc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/bundle.json","state_url":"https://pith.science/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/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":"2026-08-23T00:03:08Z","links":{"resolver":"https://pith.science/pith/NMECLLIFSAC7OOD2OKHXPWXLQH","bundle":"https://pith.science/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/bundle.json","state":"https://pith.science/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMECLLIFSAC7OOD2OKHXPWXLQH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:NMECLLIFSAC7OOD2OKHXPWXLQH","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":"5acf918a11a9b20557467f1f610b9635a2d6a41024154c2fec84821314898ec0","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2022-08-22T22:46:52Z","title_canon_sha256":"a3354a3406d690ec91a4b7ee28f75c7e7433abddb6ca1e0ff7952b3f5f0043a0"},"schema_version":"1.0","source":{"id":"2208.11510","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.11510","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2208.11510v4","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.11510","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"NMECLLIFSAC7","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"NMECLLIFSAC7OOD2","created_at":"2026-07-05T05:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"NMECLLIF","created_at":"2026-07-05T05:19:54Z"}],"graph_snapshots":[{"event_id":"sha256:7c7d40511d4104441f37f452de476b7082bdab3f50df95ea28e8bba3d6bc8ddc","target":"graph","created_at":"2026-07-05T05:19:54Z","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/2208.11510/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of practical quantum computing. Motivated by this, in this article we re-design multi-agent reinforcement learning (MARL) based on the unique characteristics of quantum neural networks (QNNs) having two separate dimensions of trainable parameters: angle parameters affecting the output qubit states, and pole parameters associated with the output measurement basis. Exploiting this dyadic trainability as meta-learning capabilit","authors_text":"Jihong Park, Joongheon Kim, Won Joon Yun","cross_cats":["cs.AI","cs.LG","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2022-08-22T22:46:52Z","title":"Quantum Multi-Agent Meta Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.11510","kind":"arxiv","version":4},"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":"sha256:72bccffd47ec5650a8bc2e27cb794dca4c364492b91d34f88007d8f6de06caf7","target":"record","created_at":"2026-07-05T05:19:54Z","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":"5acf918a11a9b20557467f1f610b9635a2d6a41024154c2fec84821314898ec0","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2022-08-22T22:46:52Z","title_canon_sha256":"a3354a3406d690ec91a4b7ee28f75c7e7433abddb6ca1e0ff7952b3f5f0043a0"},"schema_version":"1.0","source":{"id":"2208.11510","kind":"arxiv","version":4}},"canonical_sha256":"6b0825ad059005f7387a728f77daeb81d334b0be8cd9305b60e48151094760c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b0825ad059005f7387a728f77daeb81d334b0be8cd9305b60e48151094760c3","first_computed_at":"2026-07-05T05:19:54.712799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:19:54.712799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ackg8SME3JwQuYo8SB3PkkMk0alkYwcGTtHp4OJQPr/+OmlD9Tn3LNPmjiQ0FrN4lhXuWhDfGKOVYxk3sO64Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:19:54.713274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.11510","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72bccffd47ec5650a8bc2e27cb794dca4c364492b91d34f88007d8f6de06caf7","sha256:7c7d40511d4104441f37f452de476b7082bdab3f50df95ea28e8bba3d6bc8ddc"],"state_sha256":"f9ed80ad6a4daf454ab3fe129dba0e176d43f06825c8c815b00f34c1a9f2927d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u3uwp66x3uNbQR68lgrZXQYfz9VW7SEjh9nv+rOHYqXcfvFC+HPr5xQEA/BIUqiiaPhI3D9Rpna4k9bObsF8Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T00:03:08.244457Z","bundle_sha256":"facedcc5496084f646cfa66f314037230d2202f1a9b9d54473986476150b7a19"}}