{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:UNGASMCMHDATOGEKY25GMZNDPD","short_pith_number":"pith:UNGASMCM","canonical_record":{"source":{"id":"1811.00688","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T00:42:25Z","cross_cats_sorted":["q-bio.NC","stat.ML"],"title_canon_sha256":"c08aff1e8b0bec28401dc993c82f7664e2fd7d8a3b88b5d3e82b96f36114226f","abstract_canon_sha256":"233b7850eddb3060597ac6b569b75d362a81fd8fe85c72d41e4259e42f70d300"},"schema_version":"1.0"},"canonical_sha256":"a34c09304c38c137188ac6ba6665a378e19e3f63f300b599b6f8495e18f99c60","source":{"kind":"arxiv","id":"1811.00688","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.00688","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"1811.00688v2","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.00688","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"UNGASMCMHDAT","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UNGASMCMHDATOGEK","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UNGASMCM","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:UNGASMCMHDATOGEKY25GMZNDPD","target":"record","payload":{"canonical_record":{"source":{"id":"1811.00688","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T00:42:25Z","cross_cats_sorted":["q-bio.NC","stat.ML"],"title_canon_sha256":"c08aff1e8b0bec28401dc993c82f7664e2fd7d8a3b88b5d3e82b96f36114226f","abstract_canon_sha256":"233b7850eddb3060597ac6b569b75d362a81fd8fe85c72d41e4259e42f70d300"},"schema_version":"1.0"},"canonical_sha256":"a34c09304c38c137188ac6ba6665a378e19e3f63f300b599b6f8495e18f99c60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:04.366576Z","signature_b64":"xV/XnrKBqk7EtvkraQSeXPPz3QEOwhH7hDmfDLDQ+59nw3wx1xKYBEVfj4h7I6WgFmJgaE8wM4SnFWP5nFbDAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a34c09304c38c137188ac6ba6665a378e19e3f63f300b599b6f8495e18f99c60","last_reissued_at":"2026-05-17T23:53:04.365894Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:04.365894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.00688","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":"2026-05-17T23:53:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FwX+OS3pRce/pFHhYdx+S6g8RhFOZ5SZCZCVBFrsB91Gi6YqSkp7UymMCkEZIa0CX7/Ao1fTfAEwOjrWs8IlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:57:31.863676Z"},"content_sha256":"a25452adbafe25cc82b5cf535f5d1014388a9467b6298d738aa1e1fc5060e97b","schema_version":"1.0","event_id":"sha256:a25452adbafe25cc82b5cf535f5d1014388a9467b6298d738aa1e1fc5060e97b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:UNGASMCMHDATOGEKY25GMZNDPD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-driven Perception of Neuron Point Process with Unknown Unknowns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Gaurav Gupta, Paul Bogdan, Ruochen Yang","submitted_at":"2018-11-02T00:42:25Z","abstract_excerpt":"Identification of patterns from discrete data time-series for statistical inference, threat detection, social opinion dynamics, brain activity prediction has received recent momentum. In addition to the huge data size, the associated challenges are, for example, (i) missing data to construct a closed time-varying complex network, and (ii) contribution of unknown sources which are not probed. Towards this end, the current work focuses on statistical neuron system model with multi-covariates and unknown inputs. Previous research of neuron activity analysis is mainly limited with effects from the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.00688","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":"2026-05-17T23:53:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5uPyXNy4H9CHJLpkyR689YF3UhlIK0TSQ4cbt35H/vkuyNHll0iEWWmadDD2jK2SO/aH5PynyGX37rdruckAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:57:31.864340Z"},"content_sha256":"01f44ac61e47d292e364680edf6af8d6065cdb501e1a75d385843a88e95d731c","schema_version":"1.0","event_id":"sha256:01f44ac61e47d292e364680edf6af8d6065cdb501e1a75d385843a88e95d731c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UNGASMCMHDATOGEKY25GMZNDPD/bundle.json","state_url":"https://pith.science/pith/UNGASMCMHDATOGEKY25GMZNDPD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UNGASMCMHDATOGEKY25GMZNDPD/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":"2026-05-25T17:57:31Z","links":{"resolver":"https://pith.science/pith/UNGASMCMHDATOGEKY25GMZNDPD","bundle":"https://pith.science/pith/UNGASMCMHDATOGEKY25GMZNDPD/bundle.json","state":"https://pith.science/pith/UNGASMCMHDATOGEKY25GMZNDPD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UNGASMCMHDATOGEKY25GMZNDPD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:UNGASMCMHDATOGEKY25GMZNDPD","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":"233b7850eddb3060597ac6b569b75d362a81fd8fe85c72d41e4259e42f70d300","cross_cats_sorted":["q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T00:42:25Z","title_canon_sha256":"c08aff1e8b0bec28401dc993c82f7664e2fd7d8a3b88b5d3e82b96f36114226f"},"schema_version":"1.0","source":{"id":"1811.00688","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.00688","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"1811.00688v2","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.00688","created_at":"2026-05-17T23:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"UNGASMCMHDAT","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UNGASMCMHDATOGEK","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UNGASMCM","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:01f44ac61e47d292e364680edf6af8d6065cdb501e1a75d385843a88e95d731c","target":"graph","created_at":"2026-05-17T23:53:04Z","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":"Identification of patterns from discrete data time-series for statistical inference, threat detection, social opinion dynamics, brain activity prediction has received recent momentum. In addition to the huge data size, the associated challenges are, for example, (i) missing data to construct a closed time-varying complex network, and (ii) contribution of unknown sources which are not probed. Towards this end, the current work focuses on statistical neuron system model with multi-covariates and unknown inputs. Previous research of neuron activity analysis is mainly limited with effects from the","authors_text":"Gaurav Gupta, Paul Bogdan, Ruochen Yang","cross_cats":["q-bio.NC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T00:42:25Z","title":"Data-driven Perception of Neuron Point Process with Unknown Unknowns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.00688","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:a25452adbafe25cc82b5cf535f5d1014388a9467b6298d738aa1e1fc5060e97b","target":"record","created_at":"2026-05-17T23:53:04Z","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":"233b7850eddb3060597ac6b569b75d362a81fd8fe85c72d41e4259e42f70d300","cross_cats_sorted":["q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T00:42:25Z","title_canon_sha256":"c08aff1e8b0bec28401dc993c82f7664e2fd7d8a3b88b5d3e82b96f36114226f"},"schema_version":"1.0","source":{"id":"1811.00688","kind":"arxiv","version":2}},"canonical_sha256":"a34c09304c38c137188ac6ba6665a378e19e3f63f300b599b6f8495e18f99c60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a34c09304c38c137188ac6ba6665a378e19e3f63f300b599b6f8495e18f99c60","first_computed_at":"2026-05-17T23:53:04.365894Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:04.365894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xV/XnrKBqk7EtvkraQSeXPPz3QEOwhH7hDmfDLDQ+59nw3wx1xKYBEVfj4h7I6WgFmJgaE8wM4SnFWP5nFbDAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:04.366576Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.00688","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a25452adbafe25cc82b5cf535f5d1014388a9467b6298d738aa1e1fc5060e97b","sha256:01f44ac61e47d292e364680edf6af8d6065cdb501e1a75d385843a88e95d731c"],"state_sha256":"0580719afaab6bf24b7ea97af2c276eb29decab26e9283606d449becf33e3391"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SwZJq1lNGv2miHTlsYk0enTNBZSOLBtCY1ynuH8lfx0iFL4NQqKnZj3H1fvMkxU/NPmmt6X9Fmcwxy9XLlznDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T17:57:31.867908Z","bundle_sha256":"a206a7b7b2b7ead7728686352670361565414c2f8637561f0da00a0be268a905"}}