{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:PL44LOYWV763JVT7UY2EDSNIPF","short_pith_number":"pith:PL44LOYW","canonical_record":{"source":{"id":"1201.3249","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-01-16T13:19:55Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"96cd623c08fd0e592657b34ba9a75a0286c38f3f0be31e010b81753cee2774c0","abstract_canon_sha256":"c836b03966a12fa949910b97125b339b7706d8ec345e7f2832d75d6196adbba4"},"schema_version":"1.0"},"canonical_sha256":"7af9c5bb16affdb4d67fa63441c9a8796e59d76a88b7cc88f05e450d8d5e616e","source":{"kind":"arxiv","id":"1201.3249","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.3249","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"arxiv_version","alias_value":"1201.3249v1","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.3249","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"pith_short_12","alias_value":"PL44LOYWV763","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"PL44LOYWV763JVT7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"PL44LOYW","created_at":"2026-05-18T12:27:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:PL44LOYWV763JVT7UY2EDSNIPF","target":"record","payload":{"canonical_record":{"source":{"id":"1201.3249","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-01-16T13:19:55Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"96cd623c08fd0e592657b34ba9a75a0286c38f3f0be31e010b81753cee2774c0","abstract_canon_sha256":"c836b03966a12fa949910b97125b339b7706d8ec345e7f2832d75d6196adbba4"},"schema_version":"1.0"},"canonical_sha256":"7af9c5bb16affdb4d67fa63441c9a8796e59d76a88b7cc88f05e450d8d5e616e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:04:31.803143Z","signature_b64":"aOUBEgVmU2wT6fU8imFRtf7buVz+wuF93TWi+GaoJw7ga0lwsogCew+jV4vKlR0Glvck94KWAeRw27KfOaR2Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7af9c5bb16affdb4d67fa63441c9a8796e59d76a88b7cc88f05e450d8d5e616e","last_reissued_at":"2026-05-18T04:04:31.802539Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:04:31.802539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1201.3249","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":"2026-05-18T04:04:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p+j5tPMZEsWPbkNYJi2EFUHDACdilVcTQiFBpElrW7njEeHYu7LUDTZI7xNur/xrcPVkcktgUK1XsVx1aggQCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:14:55.477855Z"},"content_sha256":"bc8f5cc76228550cff808f26a527ac9fa4aa0d2a999b95e2c17041878ca506fa","schema_version":"1.0","event_id":"sha256:bc8f5cc76228550cff808f26a527ac9fa4aa0d2a999b95e2c17041878ca506fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:PL44LOYWV763JVT7UY2EDSNIPF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Spiking Neural Learning Classifier System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.NE","authors_text":"Gerard Howard, Larry Bull, Pier-Luca Lanzi","submitted_at":"2012-01-16T13:19:55Z","abstract_excerpt":"Learning Classifier Systems (LCS) are population-based reinforcement learners used in a wide variety of applications. This paper presents a LCS where each traditional rule is represented by a spiking neural network, a type of network with dynamic internal state. We employ a constructivist model of growth of both neurons and dendrites that realise flexible learning by evolving structures of sufficient complexity to solve a well-known problem involving continuous, real-valued inputs. Additionally, we extend the system to enable temporal state decomposition. By allowing our LCS to chain together "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.3249","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":"2026-05-18T04:04:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wWl/FWOe5iETIXAUfZhlBdMu/BnGfrzjHQSVdn8d3FcNBgTWwTdqvBLhKDQ67CowrwM64VBzmWwwpkn7VEAEDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:14:55.478201Z"},"content_sha256":"3e0a528d80e2cd7621db6c9bdbe73ecc3132024a7a1f84be5e95db92a395293a","schema_version":"1.0","event_id":"sha256:3e0a528d80e2cd7621db6c9bdbe73ecc3132024a7a1f84be5e95db92a395293a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PL44LOYWV763JVT7UY2EDSNIPF/bundle.json","state_url":"https://pith.science/pith/PL44LOYWV763JVT7UY2EDSNIPF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PL44LOYWV763JVT7UY2EDSNIPF/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":"2026-06-02T06:14:55Z","links":{"resolver":"https://pith.science/pith/PL44LOYWV763JVT7UY2EDSNIPF","bundle":"https://pith.science/pith/PL44LOYWV763JVT7UY2EDSNIPF/bundle.json","state":"https://pith.science/pith/PL44LOYWV763JVT7UY2EDSNIPF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PL44LOYWV763JVT7UY2EDSNIPF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:PL44LOYWV763JVT7UY2EDSNIPF","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":"c836b03966a12fa949910b97125b339b7706d8ec345e7f2832d75d6196adbba4","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-01-16T13:19:55Z","title_canon_sha256":"96cd623c08fd0e592657b34ba9a75a0286c38f3f0be31e010b81753cee2774c0"},"schema_version":"1.0","source":{"id":"1201.3249","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.3249","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"arxiv_version","alias_value":"1201.3249v1","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.3249","created_at":"2026-05-18T04:04:31Z"},{"alias_kind":"pith_short_12","alias_value":"PL44LOYWV763","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_16","alias_value":"PL44LOYWV763JVT7","created_at":"2026-05-18T12:27:18Z"},{"alias_kind":"pith_short_8","alias_value":"PL44LOYW","created_at":"2026-05-18T12:27:18Z"}],"graph_snapshots":[{"event_id":"sha256:3e0a528d80e2cd7621db6c9bdbe73ecc3132024a7a1f84be5e95db92a395293a","target":"graph","created_at":"2026-05-18T04:04:31Z","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":"Learning Classifier Systems (LCS) are population-based reinforcement learners used in a wide variety of applications. This paper presents a LCS where each traditional rule is represented by a spiking neural network, a type of network with dynamic internal state. We employ a constructivist model of growth of both neurons and dendrites that realise flexible learning by evolving structures of sufficient complexity to solve a well-known problem involving continuous, real-valued inputs. Additionally, we extend the system to enable temporal state decomposition. By allowing our LCS to chain together ","authors_text":"Gerard Howard, Larry Bull, Pier-Luca Lanzi","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-01-16T13:19:55Z","title":"A Spiking Neural Learning Classifier System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.3249","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:bc8f5cc76228550cff808f26a527ac9fa4aa0d2a999b95e2c17041878ca506fa","target":"record","created_at":"2026-05-18T04:04:31Z","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":"c836b03966a12fa949910b97125b339b7706d8ec345e7f2832d75d6196adbba4","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-01-16T13:19:55Z","title_canon_sha256":"96cd623c08fd0e592657b34ba9a75a0286c38f3f0be31e010b81753cee2774c0"},"schema_version":"1.0","source":{"id":"1201.3249","kind":"arxiv","version":1}},"canonical_sha256":"7af9c5bb16affdb4d67fa63441c9a8796e59d76a88b7cc88f05e450d8d5e616e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7af9c5bb16affdb4d67fa63441c9a8796e59d76a88b7cc88f05e450d8d5e616e","first_computed_at":"2026-05-18T04:04:31.802539Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:04:31.802539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aOUBEgVmU2wT6fU8imFRtf7buVz+wuF93TWi+GaoJw7ga0lwsogCew+jV4vKlR0Glvck94KWAeRw27KfOaR2Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T04:04:31.803143Z","signed_message":"canonical_sha256_bytes"},"source_id":"1201.3249","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc8f5cc76228550cff808f26a527ac9fa4aa0d2a999b95e2c17041878ca506fa","sha256:3e0a528d80e2cd7621db6c9bdbe73ecc3132024a7a1f84be5e95db92a395293a"],"state_sha256":"3092ef7e001694c666e509ac1e0e8db48a65d9abf7bf57951b1ab2860f9987c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uj9XFABEA71gI+iNnQOWlChx73bPNxxRN+o6IjCdRh5aVpZ9pATOo/Uv3ps9tUGHpsLh03g39wP5NKpOIGiKDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T06:14:55.480147Z","bundle_sha256":"1fad14395bab4e823ad92e2460c0ab28a6f157fa0da133f9b36f969a0358e106"}}