{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:VJHU5XPDA6PZ4JR4675GKBLS6V","short_pith_number":"pith:VJHU5XPD","canonical_record":{"source":{"id":"2111.00070","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-29T20:18:29Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"862970846f819b2ada8a80df5363bf7a03d5733ccb7eca0a471b2bbd1a879abc","abstract_canon_sha256":"bb431932ec96239c13bd84b134dd9272daf4100c1e42cf325bf539c8bdf90837"},"schema_version":"1.0"},"canonical_sha256":"aa4f4edde3079f9e263cf7fa650572f54108df36c6c34c181122d362ba32708d","source":{"kind":"arxiv","id":"2111.00070","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.00070","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"arxiv_version","alias_value":"2111.00070v1","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.00070","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_12","alias_value":"VJHU5XPDA6PZ","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_16","alias_value":"VJHU5XPDA6PZ4JR4","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_8","alias_value":"VJHU5XPD","created_at":"2026-07-05T03:27:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:VJHU5XPDA6PZ4JR4675GKBLS6V","target":"record","payload":{"canonical_record":{"source":{"id":"2111.00070","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-29T20:18:29Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"862970846f819b2ada8a80df5363bf7a03d5733ccb7eca0a471b2bbd1a879abc","abstract_canon_sha256":"bb431932ec96239c13bd84b134dd9272daf4100c1e42cf325bf539c8bdf90837"},"schema_version":"1.0"},"canonical_sha256":"aa4f4edde3079f9e263cf7fa650572f54108df36c6c34c181122d362ba32708d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:27:17.658472Z","signature_b64":"eL8qz0308dU9D3OAAqR+2lmX6cZop9LvlsjVmW9MvIcwIec59fgfh12a/DhJR++iNSk89PiEp4ajwsMyt9JuCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa4f4edde3079f9e263cf7fa650572f54108df36c6c34c181122d362ba32708d","last_reissued_at":"2026-07-05T03:27:17.657986Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:27:17.657986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.00070","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":"2026-07-05T03:27:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/qhj7Hk+Ojg+oa8dkWIC+J4LywuPSBf4tH1PVz9TYs9W5CByNfXVX/fDfi06z3tGhLR/oKLNWhZpHsuHectcCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:14:55.497813Z"},"content_sha256":"f3d3f47198de259e07c035bd6814336c156f18119d912b2e49465706abf9e687","schema_version":"1.0","event_id":"sha256:f3d3f47198de259e07c035bd6814336c156f18119d912b2e49465706abf9e687"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:VJHU5XPDA6PZ4JR4675GKBLS6V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.LG","authors_text":"Andrea Giovannucci, Andrew R. Sedler, Chethan Pandarinath, Feng Zhu, Harrison A. Grier, Mark A. Davenport, Matthew T. Kaufman, Nauman Ahad","submitted_at":"2021-10-29T20:18:29Z","abstract_excerpt":"Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial sampling (more channels or pixels) and the temporal frequency of sampling. Here we demonstrate that it is possible to obtain spatio-temporal super-resolution in neuronal time series by exploiting relationships among neurons, embedded in latent low-dimensional population dynamics. Our novel neural network training strategy, selective backpropagation through time (SBTT), enables learning of deep generative models of lat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.00070","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/2111.00070/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":"2026-07-05T03:27:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VIFiFQnbmWqGItwG5NxXFcbf+OlMv4LS5bvt6Huju/tYVu2nTldEHHNjdQtaOBy1aWK7Stu3Cyr/cdHRdobfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:14:55.498185Z"},"content_sha256":"3e051194b51a4e8f6983ab71a9bb41902c67cbd939affb35cb4124dc84d318cc","schema_version":"1.0","event_id":"sha256:3e051194b51a4e8f6983ab71a9bb41902c67cbd939affb35cb4124dc84d318cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/bundle.json","state_url":"https://pith.science/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/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":"2026-07-05T09:14:55Z","links":{"resolver":"https://pith.science/pith/VJHU5XPDA6PZ4JR4675GKBLS6V","bundle":"https://pith.science/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/bundle.json","state":"https://pith.science/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJHU5XPDA6PZ4JR4675GKBLS6V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VJHU5XPDA6PZ4JR4675GKBLS6V","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":"bb431932ec96239c13bd84b134dd9272daf4100c1e42cf325bf539c8bdf90837","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-29T20:18:29Z","title_canon_sha256":"862970846f819b2ada8a80df5363bf7a03d5733ccb7eca0a471b2bbd1a879abc"},"schema_version":"1.0","source":{"id":"2111.00070","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.00070","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"arxiv_version","alias_value":"2111.00070v1","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.00070","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_12","alias_value":"VJHU5XPDA6PZ","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_16","alias_value":"VJHU5XPDA6PZ4JR4","created_at":"2026-07-05T03:27:17Z"},{"alias_kind":"pith_short_8","alias_value":"VJHU5XPD","created_at":"2026-07-05T03:27:17Z"}],"graph_snapshots":[{"event_id":"sha256:3e051194b51a4e8f6983ab71a9bb41902c67cbd939affb35cb4124dc84d318cc","target":"graph","created_at":"2026-07-05T03:27:17Z","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/2111.00070/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial sampling (more channels or pixels) and the temporal frequency of sampling. Here we demonstrate that it is possible to obtain spatio-temporal super-resolution in neuronal time series by exploiting relationships among neurons, embedded in latent low-dimensional population dynamics. Our novel neural network training strategy, selective backpropagation through time (SBTT), enables learning of deep generative models of lat","authors_text":"Andrea Giovannucci, Andrew R. Sedler, Chethan Pandarinath, Feng Zhu, Harrison A. Grier, Mark A. Davenport, Matthew T. Kaufman, Nauman Ahad","cross_cats":["q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-29T20:18:29Z","title":"Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.00070","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:f3d3f47198de259e07c035bd6814336c156f18119d912b2e49465706abf9e687","target":"record","created_at":"2026-07-05T03:27:17Z","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":"bb431932ec96239c13bd84b134dd9272daf4100c1e42cf325bf539c8bdf90837","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-29T20:18:29Z","title_canon_sha256":"862970846f819b2ada8a80df5363bf7a03d5733ccb7eca0a471b2bbd1a879abc"},"schema_version":"1.0","source":{"id":"2111.00070","kind":"arxiv","version":1}},"canonical_sha256":"aa4f4edde3079f9e263cf7fa650572f54108df36c6c34c181122d362ba32708d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa4f4edde3079f9e263cf7fa650572f54108df36c6c34c181122d362ba32708d","first_computed_at":"2026-07-05T03:27:17.657986Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:27:17.657986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eL8qz0308dU9D3OAAqR+2lmX6cZop9LvlsjVmW9MvIcwIec59fgfh12a/DhJR++iNSk89PiEp4ajwsMyt9JuCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:27:17.658472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.00070","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3d3f47198de259e07c035bd6814336c156f18119d912b2e49465706abf9e687","sha256:3e051194b51a4e8f6983ab71a9bb41902c67cbd939affb35cb4124dc84d318cc"],"state_sha256":"37ae9bd42da07e59648de0ccd5270199a19d4b4252a63ab78ff0610bd5a11a88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JxzQ9lzfyvo/2YzPir5BThhT8rCWfkU9dieZuwdZUmm534BHRLrQ0x1WYghsDbdaBx6FLeA25WW8AaVFnASQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T09:14:55.500140Z","bundle_sha256":"6995cdd4c6a2c2df21886035a132d88fb62f098259b25b94f426b3be69c90dcc"}}