{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:NFQKVJNJHCJYKLWAWQBD4T4DSZ","short_pith_number":"pith:NFQKVJNJ","canonical_record":{"source":{"id":"1611.02792","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2016-11-09T01:25:59Z","cross_cats_sorted":[],"title_canon_sha256":"8083f340bf6304873a6ff5b3b94850a19693f8131248af87cb5efc0574508ea4","abstract_canon_sha256":"3d8ff52c5ea8cf86f15048ffff8460c1436700a8c94f06e85e5ce70e408612b1"},"schema_version":"1.0"},"canonical_sha256":"6960aaa5a93893852ec0b4023e4f839670fc898c15a353dac37350be53bccdc4","source":{"kind":"arxiv","id":"1611.02792","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.02792","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1611.02792v1","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.02792","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"NFQKVJNJHCJY","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_16","alias_value":"NFQKVJNJHCJYKLWA","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_8","alias_value":"NFQKVJNJ","created_at":"2026-05-18T12:30:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:NFQKVJNJHCJYKLWAWQBD4T4DSZ","target":"record","payload":{"canonical_record":{"source":{"id":"1611.02792","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2016-11-09T01:25:59Z","cross_cats_sorted":[],"title_canon_sha256":"8083f340bf6304873a6ff5b3b94850a19693f8131248af87cb5efc0574508ea4","abstract_canon_sha256":"3d8ff52c5ea8cf86f15048ffff8460c1436700a8c94f06e85e5ce70e408612b1"},"schema_version":"1.0"},"canonical_sha256":"6960aaa5a93893852ec0b4023e4f839670fc898c15a353dac37350be53bccdc4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:59:43.661499Z","signature_b64":"ZKOkuR276KW/GRY7EAZ42FXBSe9lAI8p/rpNbGwrzOHmTM+5TJwpcy2yhuFEMTSQlUVV/8JMrID33c/JKFqXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6960aaa5a93893852ec0b4023e4f839670fc898c15a353dac37350be53bccdc4","last_reissued_at":"2026-05-18T00:59:43.660722Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:59:43.660722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.02792","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":"2026-05-18T00:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wvjD0fIsXkDi+o10P/7J9EsMSy5Uqvk8ZZ0L630kYa5mzO64RwAwe9FF6KYTBsKH72f/hOvniqj8hDCJA4tjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:21:12.648385Z"},"content_sha256":"ac795a6356fa7cbcdaa2740c81e3bb0d360f45e86a2617d563d5fc6d8bb1aa21","schema_version":"1.0","event_id":"sha256:ac795a6356fa7cbcdaa2740c81e3bb0d360f45e86a2617d563d5fc6d8bb1aa21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:NFQKVJNJHCJYKLWAWQBD4T4DSZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Dhireesha Kudithipudi, Kevin Gomez, Lennard Streat","submitted_at":"2016-11-09T01:25:59Z","abstract_excerpt":"Hierarchical Temporal Memory (HTM) is a biomimetic machine learning algorithm imbibing the structural and algorithmic properties of the neocortex. Two main functional components of HTM that enable spatio-temporal processing are the spatial pooler and temporal memory. In this research, we explore a scalable hardware realization of the spatial pooler closely coupled with the mathematical formulation of spatial pooler. This class of neuromorphic algorithms are advantageous in solving a subset of the future engineering problems by extracting nonintuitive patterns in complex data. The proposed arch"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.02792","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":"2026-05-18T00:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"st3qJVd5FkIpd230Pxvs1q/OSpvlg6slz+tk3ZeUWnnc+B5P9x+lQsjqwyxP8EoGB0+kayBHmXMxakT+F41wCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:21:12.648736Z"},"content_sha256":"1c16bac5bdb68c7bfda9e5ef56f536a962a445ebc410aacde4459e42cac1fa21","schema_version":"1.0","event_id":"sha256:1c16bac5bdb68c7bfda9e5ef56f536a962a445ebc410aacde4459e42cac1fa21"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/bundle.json","state_url":"https://pith.science/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/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":"2026-06-01T05:21:12Z","links":{"resolver":"https://pith.science/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ","bundle":"https://pith.science/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/bundle.json","state":"https://pith.science/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFQKVJNJHCJYKLWAWQBD4T4DSZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:NFQKVJNJHCJYKLWAWQBD4T4DSZ","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":"3d8ff52c5ea8cf86f15048ffff8460c1436700a8c94f06e85e5ce70e408612b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2016-11-09T01:25:59Z","title_canon_sha256":"8083f340bf6304873a6ff5b3b94850a19693f8131248af87cb5efc0574508ea4"},"schema_version":"1.0","source":{"id":"1611.02792","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.02792","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1611.02792v1","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.02792","created_at":"2026-05-18T00:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"NFQKVJNJHCJY","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_16","alias_value":"NFQKVJNJHCJYKLWA","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_8","alias_value":"NFQKVJNJ","created_at":"2026-05-18T12:30:32Z"}],"graph_snapshots":[{"event_id":"sha256:1c16bac5bdb68c7bfda9e5ef56f536a962a445ebc410aacde4459e42cac1fa21","target":"graph","created_at":"2026-05-18T00:59:43Z","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":"Hierarchical Temporal Memory (HTM) is a biomimetic machine learning algorithm imbibing the structural and algorithmic properties of the neocortex. Two main functional components of HTM that enable spatio-temporal processing are the spatial pooler and temporal memory. In this research, we explore a scalable hardware realization of the spatial pooler closely coupled with the mathematical formulation of spatial pooler. This class of neuromorphic algorithms are advantageous in solving a subset of the future engineering problems by extracting nonintuitive patterns in complex data. The proposed arch","authors_text":"Dhireesha Kudithipudi, Kevin Gomez, Lennard Streat","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2016-11-09T01:25:59Z","title":"Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.02792","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:ac795a6356fa7cbcdaa2740c81e3bb0d360f45e86a2617d563d5fc6d8bb1aa21","target":"record","created_at":"2026-05-18T00:59:43Z","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":"3d8ff52c5ea8cf86f15048ffff8460c1436700a8c94f06e85e5ce70e408612b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2016-11-09T01:25:59Z","title_canon_sha256":"8083f340bf6304873a6ff5b3b94850a19693f8131248af87cb5efc0574508ea4"},"schema_version":"1.0","source":{"id":"1611.02792","kind":"arxiv","version":1}},"canonical_sha256":"6960aaa5a93893852ec0b4023e4f839670fc898c15a353dac37350be53bccdc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6960aaa5a93893852ec0b4023e4f839670fc898c15a353dac37350be53bccdc4","first_computed_at":"2026-05-18T00:59:43.660722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:59:43.660722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZKOkuR276KW/GRY7EAZ42FXBSe9lAI8p/rpNbGwrzOHmTM+5TJwpcy2yhuFEMTSQlUVV/8JMrID33c/JKFqXCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:59:43.661499Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.02792","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac795a6356fa7cbcdaa2740c81e3bb0d360f45e86a2617d563d5fc6d8bb1aa21","sha256:1c16bac5bdb68c7bfda9e5ef56f536a962a445ebc410aacde4459e42cac1fa21"],"state_sha256":"24b2df29559c8de427cf46396b5daf07ab19c3a11d7862e70597a25adeb53ee9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4EXIa/iSoxF1hfhDhI9PMttSsl/Lwufs5q7V78d2/CqYeLNDhQ6tseMF2jVC24aAsE+a5R4xL/V+zBMlVk5yAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T05:21:12.651080Z","bundle_sha256":"e3e771b82b6c69672587c5b6ff45d10736ebfca042d5ee40139f540fbe01af21"}}