{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DGMO7JE3NTYG55FUGPC6J3XSCY","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":"c174036151c485a53525a713759f36ed745588ccb9cda8873200fc7b5c0576c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-17T18:18:09Z","title_canon_sha256":"78b72ebac67a0026a7ee4055db4c47ab0daea501e9a2055e1cbea4257d42b38c"},"schema_version":"1.0","source":{"id":"2011.08813","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08813","created_at":"2026-07-05T01:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08813v1","created_at":"2026-07-05T01:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08813","created_at":"2026-07-05T01:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"DGMO7JE3NTYG","created_at":"2026-07-05T01:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"DGMO7JE3NTYG55FU","created_at":"2026-07-05T01:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"DGMO7JE3","created_at":"2026-07-05T01:52:31Z"}],"graph_snapshots":[{"event_id":"sha256:21e7e2f6e8a4e305185b6d43a1184ad26791505baf722c7a3fee2585897376ca","target":"graph","created_at":"2026-07-05T01:52:31Z","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/2011.08813/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel deep learning framework that uses dynamic functional connectivity to simultaneously localize the language and motor areas of the eloquent cortex in brain tumor patients. Our method leverages convolutional layers to extract graph-based features from the dynamic connectivity matrices and a long-short term memory (LSTM) attention network to weight the relevant time points during classification. The final stage of our model employs multi-task learning to identify different eloquent subsystems. Our unique training strategy finds a shared representation between the cognitive netwo","authors_text":"Archana Venkataraman, Haris I. Sair, Jay J. Pillai, Komal Manzoor, Naresh Nandakumar, Niharika Shimona D'Souza, Sachin K. Gujar","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-17T18:18:09Z","title":"A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08813","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:d28bed99e872942e207f8c3467799aba5dd739e48f502a435280105ffe3e43c1","target":"record","created_at":"2026-07-05T01:52:31Z","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":"c174036151c485a53525a713759f36ed745588ccb9cda8873200fc7b5c0576c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-17T18:18:09Z","title_canon_sha256":"78b72ebac67a0026a7ee4055db4c47ab0daea501e9a2055e1cbea4257d42b38c"},"schema_version":"1.0","source":{"id":"2011.08813","kind":"arxiv","version":1}},"canonical_sha256":"1998efa49b6cf06ef4b433c5e4eef21617b8ca04c0574e69486b575470fe43b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1998efa49b6cf06ef4b433c5e4eef21617b8ca04c0574e69486b575470fe43b5","first_computed_at":"2026-07-05T01:52:31.218204Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:52:31.218204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hs+O6kajfNaBxAO0RZa56UTUrffQfjnQjHtKfyVPRBgD9fmB0dOGxchDF6OPSSsVO6k92zYzAohd0AXunVUFCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:52:31.218663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.08813","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d28bed99e872942e207f8c3467799aba5dd739e48f502a435280105ffe3e43c1","sha256:21e7e2f6e8a4e305185b6d43a1184ad26791505baf722c7a3fee2585897376ca"],"state_sha256":"e7e08a847911eb440854f87a4351b471846266f75feb4e97059e620e8a9df634"}