{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FE5H4WDRKANL5ZLO4YFHPLJKWQ","short_pith_number":"pith:FE5H4WDR","canonical_record":{"source":{"id":"2205.15386","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T19:06:41Z","cross_cats_sorted":[],"title_canon_sha256":"04c5db9129a140f57242304736574ab6bc8e8f947eb848a18d77033af237cba3","abstract_canon_sha256":"0d4af7e7f3d50a4f34d2120a6744090245f7b38629b0565ca3a0e46ab2ee076d"},"schema_version":"1.0"},"canonical_sha256":"293a7e5871501abee56ee60a77ad2ab43df5364e47b56d54e840c58edfd27834","source":{"kind":"arxiv","id":"2205.15386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15386","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15386v1","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15386","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_12","alias_value":"FE5H4WDRKANL","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"FE5H4WDRKANL5ZLO","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"FE5H4WDR","created_at":"2026-07-05T04:27:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FE5H4WDRKANL5ZLO4YFHPLJKWQ","target":"record","payload":{"canonical_record":{"source":{"id":"2205.15386","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T19:06:41Z","cross_cats_sorted":[],"title_canon_sha256":"04c5db9129a140f57242304736574ab6bc8e8f947eb848a18d77033af237cba3","abstract_canon_sha256":"0d4af7e7f3d50a4f34d2120a6744090245f7b38629b0565ca3a0e46ab2ee076d"},"schema_version":"1.0"},"canonical_sha256":"293a7e5871501abee56ee60a77ad2ab43df5364e47b56d54e840c58edfd27834","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:27:32.442661Z","signature_b64":"b39yB3uuECDy9VMD+d4/FIa8jpIJqw4H8nwHYqJGDeM3Fj+r9hhBfgYOEjwmhpev1UqJ5ctdEG0mWA6xkelFBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"293a7e5871501abee56ee60a77ad2ab43df5364e47b56d54e840c58edfd27834","last_reissued_at":"2026-07-05T04:27:32.442221Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:27:32.442221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.15386","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":"2026-07-05T04:27:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XOmA/hxQBNpRSZbPzwlSY4gvj+x3xSP7VN/V8+T9ZHIKymLA0vIlHcu08fwegYuTc+nJp37QhpesLyl9ucWTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:51:35.590373Z"},"content_sha256":"0c4361a47645e4e1b7dc41a0dd60a2264e9240e541f970e6c6dccdcbc2d9d2b5","schema_version":"1.0","event_id":"sha256:0c4361a47645e4e1b7dc41a0dd60a2264e9240e541f970e6c6dccdcbc2d9d2b5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FE5H4WDRKANL5ZLO4YFHPLJKWQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dictionary Learning with Accumulator Neurons","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrew O'Brien, Carlos Gonzalez, Edward Kim, Garrett T. Kenyon, Gavin Parpart, Jocelyn Rego, Steven Nesbit, Terrence C. Stewart, Yijing Watkins","submitted_at":"2022-05-30T19:06:41Z","abstract_excerpt":"The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor. Here, we focus on the problem of inferring sparse representations from streaming video using dictionaries of spatiotemporal features optimized in an unsupervised manner for sparse reconstruction. Non-spiking LCA has previously been used to achieve unsupervised learning of spatiotemporal dictionaries composed of convolutional kerne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15386","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2205.15386/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":"2026-07-05T04:27:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7svJww33VTGhWg1t0KC04ea1lc/0j3h7Nij79eIBpjmIRfyBKzJriZ6ju8d/X1G0IFWNBeN8d14ybLVsTJzbAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:51:35.590741Z"},"content_sha256":"ecbda4d2ba7b7e9cb435a34fc6f44517eb8b2ec0b85d5fba392c4d2d2751ea49","schema_version":"1.0","event_id":"sha256:ecbda4d2ba7b7e9cb435a34fc6f44517eb8b2ec0b85d5fba392c4d2d2751ea49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/bundle.json","state_url":"https://pith.science/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/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":"2026-07-07T15:51:35Z","links":{"resolver":"https://pith.science/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ","bundle":"https://pith.science/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/bundle.json","state":"https://pith.science/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FE5H4WDRKANL5ZLO4YFHPLJKWQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FE5H4WDRKANL5ZLO4YFHPLJKWQ","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":"0d4af7e7f3d50a4f34d2120a6744090245f7b38629b0565ca3a0e46ab2ee076d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T19:06:41Z","title_canon_sha256":"04c5db9129a140f57242304736574ab6bc8e8f947eb848a18d77033af237cba3"},"schema_version":"1.0","source":{"id":"2205.15386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15386","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15386v1","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15386","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_12","alias_value":"FE5H4WDRKANL","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"FE5H4WDRKANL5ZLO","created_at":"2026-07-05T04:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"FE5H4WDR","created_at":"2026-07-05T04:27:32Z"}],"graph_snapshots":[{"event_id":"sha256:ecbda4d2ba7b7e9cb435a34fc6f44517eb8b2ec0b85d5fba392c4d2d2751ea49","target":"graph","created_at":"2026-07-05T04:27:32Z","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/2205.15386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor. Here, we focus on the problem of inferring sparse representations from streaming video using dictionaries of spatiotemporal features optimized in an unsupervised manner for sparse reconstruction. Non-spiking LCA has previously been used to achieve unsupervised learning of spatiotemporal dictionaries composed of convolutional kerne","authors_text":"Andrew O'Brien, Carlos Gonzalez, Edward Kim, Garrett T. Kenyon, Gavin Parpart, Jocelyn Rego, Steven Nesbit, Terrence C. Stewart, Yijing Watkins","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T19:06:41Z","title":"Dictionary Learning with Accumulator Neurons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15386","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":"sha256:0c4361a47645e4e1b7dc41a0dd60a2264e9240e541f970e6c6dccdcbc2d9d2b5","target":"record","created_at":"2026-07-05T04:27:32Z","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":"0d4af7e7f3d50a4f34d2120a6744090245f7b38629b0565ca3a0e46ab2ee076d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-30T19:06:41Z","title_canon_sha256":"04c5db9129a140f57242304736574ab6bc8e8f947eb848a18d77033af237cba3"},"schema_version":"1.0","source":{"id":"2205.15386","kind":"arxiv","version":1}},"canonical_sha256":"293a7e5871501abee56ee60a77ad2ab43df5364e47b56d54e840c58edfd27834","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"293a7e5871501abee56ee60a77ad2ab43df5364e47b56d54e840c58edfd27834","first_computed_at":"2026-07-05T04:27:32.442221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:32.442221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b39yB3uuECDy9VMD+d4/FIa8jpIJqw4H8nwHYqJGDeM3Fj+r9hhBfgYOEjwmhpev1UqJ5ctdEG0mWA6xkelFBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:32.442661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.15386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c4361a47645e4e1b7dc41a0dd60a2264e9240e541f970e6c6dccdcbc2d9d2b5","sha256:ecbda4d2ba7b7e9cb435a34fc6f44517eb8b2ec0b85d5fba392c4d2d2751ea49"],"state_sha256":"c8748b973f7fb2c62b4a0238703355dbb4ee34492c03388be012d0a8aec0c3b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0d4wYuvk8Ek82LJfreefY3iAleDM/XGMVg+0voZW87WzNqj+2JtZjMZLpSFvGMQr/BJjvD3Xw9z+QVUVnxGLAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:51:35.592717Z","bundle_sha256":"01329f7e08285efd7b12a066f23fc4eb5407869c261cab8b32f6f211126769e8"}}