{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UDDMJNW2KTTV55NWOW7HF2AH3Y","short_pith_number":"pith:UDDMJNW2","schema_version":"1.0","canonical_sha256":"a0c6c4b6da54e75ef5b675be72e807de026bb17462a191c8b040c0a1d7216c1e","source":{"kind":"arxiv","id":"1605.08031","version":3},"attestation_state":"computed","paper":{"title":"High resolution neural connectivity from incomplete tracing data using nonnegative spline regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph","physics.data-an"],"primary_cat":"q-bio.NC","authors_text":"Eric Shea-Brown, Kameron Decker Harris, Stefan Mihalas","submitted_at":"2016-05-24T21:16:19Z","abstract_excerpt":"Whole-brain neural connectivity data are now available from viral tracing experiments, which reveal the connections between a source injection site and elsewhere in the brain. These hold the promise of revealing spatial patterns of connectivity throughout the mammalian brain. To achieve this goal, we seek to fit a weighted, nonnegative adjacency matrix among 100 $\\mu$m brain \"voxels\" using viral tracer data. Despite a multi-year experimental effort, injections provide incomplete coverage, and the number of voxels in our data is orders of magnitude larger than the number of injections, making t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1605.08031","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2016-05-24T21:16:19Z","cross_cats_sorted":["physics.bio-ph","physics.data-an"],"title_canon_sha256":"286f233248c989603294106e76ff5506676a35e6805f9a576f9ba199fa38e033","abstract_canon_sha256":"3af6a736a8799f2581552bb333477dadd9505699efb3a7e8aef0740a0ddd8274"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:01:09.526177Z","signature_b64":"8BpcWgm/LCnoqmqmpj+0sb4Vtk5SvIWoXhQ4pY3JM4SKAbizKHry4ax2uKbZoXguelMyUDKHwMcN1KphXjB0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0c6c4b6da54e75ef5b675be72e807de026bb17462a191c8b040c0a1d7216c1e","last_reissued_at":"2026-05-18T01:01:09.525536Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:01:09.525536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"High resolution neural connectivity from incomplete tracing data using nonnegative spline regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph","physics.data-an"],"primary_cat":"q-bio.NC","authors_text":"Eric Shea-Brown, Kameron Decker Harris, Stefan Mihalas","submitted_at":"2016-05-24T21:16:19Z","abstract_excerpt":"Whole-brain neural connectivity data are now available from viral tracing experiments, which reveal the connections between a source injection site and elsewhere in the brain. These hold the promise of revealing spatial patterns of connectivity throughout the mammalian brain. To achieve this goal, we seek to fit a weighted, nonnegative adjacency matrix among 100 $\\mu$m brain \"voxels\" using viral tracer data. Despite a multi-year experimental effort, injections provide incomplete coverage, and the number of voxels in our data is orders of magnitude larger than the number of injections, making t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.08031","kind":"arxiv","version":3},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1605.08031","created_at":"2026-05-18T01:01:09.525622+00:00"},{"alias_kind":"arxiv_version","alias_value":"1605.08031v3","created_at":"2026-05-18T01:01:09.525622+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.08031","created_at":"2026-05-18T01:01:09.525622+00:00"},{"alias_kind":"pith_short_12","alias_value":"UDDMJNW2KTTV","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UDDMJNW2KTTV55NW","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UDDMJNW2","created_at":"2026-05-18T12:30:46.583412+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y","json":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y.json","graph_json":"https://pith.science/api/pith-number/UDDMJNW2KTTV55NWOW7HF2AH3Y/graph.json","events_json":"https://pith.science/api/pith-number/UDDMJNW2KTTV55NWOW7HF2AH3Y/events.json","paper":"https://pith.science/paper/UDDMJNW2"},"agent_actions":{"view_html":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y","download_json":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y.json","view_paper":"https://pith.science/paper/UDDMJNW2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1605.08031&json=true","fetch_graph":"https://pith.science/api/pith-number/UDDMJNW2KTTV55NWOW7HF2AH3Y/graph.json","fetch_events":"https://pith.science/api/pith-number/UDDMJNW2KTTV55NWOW7HF2AH3Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y/action/storage_attestation","attest_author":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y/action/author_attestation","sign_citation":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y/action/citation_signature","submit_replication":"https://pith.science/pith/UDDMJNW2KTTV55NWOW7HF2AH3Y/action/replication_record"}},"created_at":"2026-05-18T01:01:09.525622+00:00","updated_at":"2026-05-18T01:01:09.525622+00:00"}