{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:4NR5EXQHKYKWK2VEGSZAPRTDQD","short_pith_number":"pith:4NR5EXQH","canonical_record":{"source":{"id":"1211.5189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-11-22T02:38:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f43ffc96ea793329c7c25ca916198f4c1867308068beb226a1c438fcedcc95bc","abstract_canon_sha256":"afe728b7d20a8979836575aece479f96ba4229627ca509ff01a52a58c685c0d0"},"schema_version":"1.0"},"canonical_sha256":"e363d25e075615656aa434b207c66380f26d125ff7de155fd94583a92b187ac3","source":{"kind":"arxiv","id":"1211.5189","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.5189","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"arxiv_version","alias_value":"1211.5189v2","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.5189","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"pith_short_12","alias_value":"4NR5EXQHKYKW","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"4NR5EXQHKYKWK2VE","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"4NR5EXQH","created_at":"2026-05-18T12:26:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:4NR5EXQHKYKWK2VEGSZAPRTDQD","target":"record","payload":{"canonical_record":{"source":{"id":"1211.5189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-11-22T02:38:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f43ffc96ea793329c7c25ca916198f4c1867308068beb226a1c438fcedcc95bc","abstract_canon_sha256":"afe728b7d20a8979836575aece479f96ba4229627ca509ff01a52a58c685c0d0"},"schema_version":"1.0"},"canonical_sha256":"e363d25e075615656aa434b207c66380f26d125ff7de155fd94583a92b187ac3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:09:22.632551Z","signature_b64":"aQOBS3/jtXCfKwqbeISmoJ2jNdIB6Wd2kBztOuxvOHkDK7rjHRsMIEuKS8efIPdpQrYGwwSIF9duUtxTwam4CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e363d25e075615656aa434b207c66380f26d125ff7de155fd94583a92b187ac3","last_reissued_at":"2026-05-18T03:09:22.631866Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:09:22.631866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.5189","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:09:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Azp2kqQ2zBqw6iZedB3p7usLxueFhW/dcRniB6KQ+x8/n6vjY8Iu5FijtImlmHOqAlgyO7d7OKQGr3tlUGfLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T17:44:18.764922Z"},"content_sha256":"79c7f2003748675f56e80c36840a683cc08127514a0da30273535d10cfba13d5","schema_version":"1.0","event_id":"sha256:79c7f2003748675f56e80c36840a683cc08127514a0da30273535d10cfba13d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:4NR5EXQHKYKWK2VEGSZAPRTDQD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimally fuzzy temporal memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Karthik H. Shankar, Marc W. Howard","submitted_at":"2012-11-22T02:38:16Z","abstract_excerpt":"Any learner with the ability to predict the future of a structured time-varying signal must maintain a memory of the recent past. If the signal has a characteristic timescale relevant to future prediction, the memory can be a simple shift register---a moving window extending into the past, requiring storage resources that linearly grows with the timescale to be represented. However, an independent general purpose learner cannot a priori know the characteristic prediction-relevant timescale of the signal. Moreover, many naturally occurring signals show scale-free long range correlations implyin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.5189","kind":"arxiv","version":2},"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":"2026-05-18T03:09:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zsHZLrDv/U9lZQwmRO17HWqw3YlLN49XOO3OSNnpp/vqBy+YolYcnx68htlyhHXB1MYpqXZaWoLzMYDl9RgSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T17:44:18.765272Z"},"content_sha256":"d53d37162aa514b378318e5d9ff4bc0db5f59d04d90f28429b52a3f15d51efc2","schema_version":"1.0","event_id":"sha256:d53d37162aa514b378318e5d9ff4bc0db5f59d04d90f28429b52a3f15d51efc2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/bundle.json","state_url":"https://pith.science/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/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":"2026-06-04T17:44:18Z","links":{"resolver":"https://pith.science/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD","bundle":"https://pith.science/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/bundle.json","state":"https://pith.science/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NR5EXQHKYKWK2VEGSZAPRTDQD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:4NR5EXQHKYKWK2VEGSZAPRTDQD","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":"afe728b7d20a8979836575aece479f96ba4229627ca509ff01a52a58c685c0d0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-11-22T02:38:16Z","title_canon_sha256":"f43ffc96ea793329c7c25ca916198f4c1867308068beb226a1c438fcedcc95bc"},"schema_version":"1.0","source":{"id":"1211.5189","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.5189","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"arxiv_version","alias_value":"1211.5189v2","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.5189","created_at":"2026-05-18T03:09:22Z"},{"alias_kind":"pith_short_12","alias_value":"4NR5EXQHKYKW","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"4NR5EXQHKYKWK2VE","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"4NR5EXQH","created_at":"2026-05-18T12:26:53Z"}],"graph_snapshots":[{"event_id":"sha256:d53d37162aa514b378318e5d9ff4bc0db5f59d04d90f28429b52a3f15d51efc2","target":"graph","created_at":"2026-05-18T03:09:22Z","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":"Any learner with the ability to predict the future of a structured time-varying signal must maintain a memory of the recent past. If the signal has a characteristic timescale relevant to future prediction, the memory can be a simple shift register---a moving window extending into the past, requiring storage resources that linearly grows with the timescale to be represented. However, an independent general purpose learner cannot a priori know the characteristic prediction-relevant timescale of the signal. Moreover, many naturally occurring signals show scale-free long range correlations implyin","authors_text":"Karthik H. Shankar, Marc W. Howard","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-11-22T02:38:16Z","title":"Optimally fuzzy temporal memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.5189","kind":"arxiv","version":2},"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":"sha256:79c7f2003748675f56e80c36840a683cc08127514a0da30273535d10cfba13d5","target":"record","created_at":"2026-05-18T03:09:22Z","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":"afe728b7d20a8979836575aece479f96ba4229627ca509ff01a52a58c685c0d0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-11-22T02:38:16Z","title_canon_sha256":"f43ffc96ea793329c7c25ca916198f4c1867308068beb226a1c438fcedcc95bc"},"schema_version":"1.0","source":{"id":"1211.5189","kind":"arxiv","version":2}},"canonical_sha256":"e363d25e075615656aa434b207c66380f26d125ff7de155fd94583a92b187ac3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e363d25e075615656aa434b207c66380f26d125ff7de155fd94583a92b187ac3","first_computed_at":"2026-05-18T03:09:22.631866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:09:22.631866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aQOBS3/jtXCfKwqbeISmoJ2jNdIB6Wd2kBztOuxvOHkDK7rjHRsMIEuKS8efIPdpQrYGwwSIF9duUtxTwam4CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:09:22.632551Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.5189","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79c7f2003748675f56e80c36840a683cc08127514a0da30273535d10cfba13d5","sha256:d53d37162aa514b378318e5d9ff4bc0db5f59d04d90f28429b52a3f15d51efc2"],"state_sha256":"ce8f5e87dccef7e50f76dae171334769c58bc8d30b733261ad69bf3a7ed4df4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eztmRV0XW1soRXUyqAuXBKyIFSJeuugRvp634Hh4NCGf9TTkj078TiGLTErD9LnvcP+iP1RtgUOqmNqdaw4GCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T17:44:18.767227Z","bundle_sha256":"44ba7d88a6929e16310cbb44fd2924e877c5e9731b9e91883465f2302c55623f"}}