{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:QTACQ24LLMW7Z5N7QKVKD7SB5Z","short_pith_number":"pith:QTACQ24L","canonical_record":{"source":{"id":"1211.0424","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-02T11:40:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"eee1563856785c62e28fd2091357e09bbdb6ee7bd8cdf653a41e712fd9259969","abstract_canon_sha256":"4260aab14b49eb004e9ee252909d3515edfc21957930fe360db4ed071befdc44"},"schema_version":"1.0"},"canonical_sha256":"84c0286b8b5b2dfcf5bf82aaa1fe41ee5dd2e122b93e54416bd396e4cc0f4ed9","source":{"kind":"arxiv","id":"1211.0424","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.0424","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"arxiv_version","alias_value":"1211.0424v1","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.0424","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"pith_short_12","alias_value":"QTACQ24LLMW7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"QTACQ24LLMW7Z5N7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"QTACQ24L","created_at":"2026-05-18T12:27:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:QTACQ24LLMW7Z5N7QKVKD7SB5Z","target":"record","payload":{"canonical_record":{"source":{"id":"1211.0424","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-02T11:40:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"eee1563856785c62e28fd2091357e09bbdb6ee7bd8cdf653a41e712fd9259969","abstract_canon_sha256":"4260aab14b49eb004e9ee252909d3515edfc21957930fe360db4ed071befdc44"},"schema_version":"1.0"},"canonical_sha256":"84c0286b8b5b2dfcf5bf82aaa1fe41ee5dd2e122b93e54416bd396e4cc0f4ed9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:38:37.520313Z","signature_b64":"NUJPnAbi2FORzOeLOTA8ZeO0aLdrfzA3F0HoKFiNtPx+8OtqoRR59wPskXJlq7iGBrVcZgdL8L9FHY/lVM2qCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84c0286b8b5b2dfcf5bf82aaa1fe41ee5dd2e122b93e54416bd396e4cc0f4ed9","last_reissued_at":"2026-05-18T02:38:37.519820Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:38:37.519820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.0424","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":"2026-05-18T02:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a589B1lwDJ2A/15Qg3aKmw3QmqEAFT7mB6igsdmbVLWc+MK/vnqaH0MPL+NEn398Pvo4iH9VnXvWCPGsWgoCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T01:54:54.538701Z"},"content_sha256":"8a06b14ba43c2e3ca01b6a05ce4d44b7b5f98468a34a6f68d212a1ae9339d3f2","schema_version":"1.0","event_id":"sha256:8a06b14ba43c2e3ca01b6a05ce4d44b7b5f98468a34a6f68d212a1ae9339d3f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:QTACQ24LLMW7Z5N7QKVKD7SB5Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning classifier systems with memory condition to solve non-Markov problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Dehua Li, Junying Wang, Zhaoxiang Zang","submitted_at":"2012-11-02T11:40:10Z","abstract_excerpt":"In the family of Learning Classifier Systems, the classifier system XCS has been successfully used for many applications. However, the standard XCS has no memory mechanism and can only learn optimal policy in Markov environments, where the optimal action is determined solely by the state of current sensory input. In practice, most environments are partially observable environments on agent's sensation, which are also known as non-Markov environments. Within these environments, XCS either fails, or only develops a suboptimal policy, since it has no memory. In this work, we develop a new classif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.0424","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":""},"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":"2026-05-18T02:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d/tz4C6u343hmiY5lYR27qw8upHZ5vTzQ3J4KsS+ncsWkcDxIj43Jlu/QI8y16KDSr1WvUIxhh9sxCLF3ww1DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T01:54:54.539054Z"},"content_sha256":"b0b862906feb590c01aaf79b947c2efb4ecb56d06157fbf507cffd9387e211a5","schema_version":"1.0","event_id":"sha256:b0b862906feb590c01aaf79b947c2efb4ecb56d06157fbf507cffd9387e211a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/bundle.json","state_url":"https://pith.science/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/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":"2026-05-31T01:54:54Z","links":{"resolver":"https://pith.science/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z","bundle":"https://pith.science/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/bundle.json","state":"https://pith.science/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QTACQ24LLMW7Z5N7QKVKD7SB5Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:QTACQ24LLMW7Z5N7QKVKD7SB5Z","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":"4260aab14b49eb004e9ee252909d3515edfc21957930fe360db4ed071befdc44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-02T11:40:10Z","title_canon_sha256":"eee1563856785c62e28fd2091357e09bbdb6ee7bd8cdf653a41e712fd9259969"},"schema_version":"1.0","source":{"id":"1211.0424","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.0424","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"arxiv_version","alias_value":"1211.0424v1","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.0424","created_at":"2026-05-18T02:38:37Z"},{"alias_kind":"pith_short_12","alias_value":"QTACQ24LLMW7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"QTACQ24LLMW7Z5N7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"QTACQ24L","created_at":"2026-05-18T12:27:18Z"}],"graph_snapshots":[{"event_id":"sha256:b0b862906feb590c01aaf79b947c2efb4ecb56d06157fbf507cffd9387e211a5","target":"graph","created_at":"2026-05-18T02:38:37Z","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"},"paper":{"abstract_excerpt":"In the family of Learning Classifier Systems, the classifier system XCS has been successfully used for many applications. However, the standard XCS has no memory mechanism and can only learn optimal policy in Markov environments, where the optimal action is determined solely by the state of current sensory input. In practice, most environments are partially observable environments on agent's sensation, which are also known as non-Markov environments. Within these environments, XCS either fails, or only develops a suboptimal policy, since it has no memory. In this work, we develop a new classif","authors_text":"Dehua Li, Junying Wang, Zhaoxiang Zang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-02T11:40:10Z","title":"Learning classifier systems with memory condition to solve non-Markov problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.0424","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":"sha256:8a06b14ba43c2e3ca01b6a05ce4d44b7b5f98468a34a6f68d212a1ae9339d3f2","target":"record","created_at":"2026-05-18T02:38:37Z","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":"4260aab14b49eb004e9ee252909d3515edfc21957930fe360db4ed071befdc44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-02T11:40:10Z","title_canon_sha256":"eee1563856785c62e28fd2091357e09bbdb6ee7bd8cdf653a41e712fd9259969"},"schema_version":"1.0","source":{"id":"1211.0424","kind":"arxiv","version":1}},"canonical_sha256":"84c0286b8b5b2dfcf5bf82aaa1fe41ee5dd2e122b93e54416bd396e4cc0f4ed9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84c0286b8b5b2dfcf5bf82aaa1fe41ee5dd2e122b93e54416bd396e4cc0f4ed9","first_computed_at":"2026-05-18T02:38:37.519820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:38:37.519820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NUJPnAbi2FORzOeLOTA8ZeO0aLdrfzA3F0HoKFiNtPx+8OtqoRR59wPskXJlq7iGBrVcZgdL8L9FHY/lVM2qCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:38:37.520313Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.0424","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a06b14ba43c2e3ca01b6a05ce4d44b7b5f98468a34a6f68d212a1ae9339d3f2","sha256:b0b862906feb590c01aaf79b947c2efb4ecb56d06157fbf507cffd9387e211a5"],"state_sha256":"f3492cf0a89a46979d50adb610d0ff7fa6f7aa959302b769c1bf0f1a32be39a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DbDsJS4vtJIFTkLDPZ9hboYzsLAlvBly8qEIbZjk3VfALQEtNE2acIabM0xuQBFDT+Zh69rw2JnR7Lw6Jyl4Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T01:54:54.541218Z","bundle_sha256":"850f851fb699a0775daac0bd724f3ac9844ae9e425eaf547662b558f8d7224cb"}}