{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:X2MU2RI6IOK44N2F35DSY4WKZG","short_pith_number":"pith:X2MU2RI6","schema_version":"1.0","canonical_sha256":"be994d451e4395ce3745df472c72cac98ed7858958441c7a8a833a37406ba8ec","source":{"kind":"arxiv","id":"2111.06979","version":1},"attestation_state":"computed","paper":{"title":"Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"q-bio.NC","authors_text":"David D. Cox, Hang Le, James J. DiCarlo, Jenelle Feather, Joel Dapello, Josh H. McDermott, SueYeon Chung, Tiago Marques","submitted_at":"2021-11-12T22:59:45Z","abstract_excerpt":"Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models diverge from biological sensory systems. Recent work has proposed adding biologically-inspired components to visual neural networks as a way to improve their adversarial robustness. One surprisingly effective component for reducing adversarial vulnerability is response stochasticity, like that exhibited by biological neurons. Here, using recently developed geometrical techniques from computational neuroscience, we investigate how adversarial perturbations influence"},"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":"2111.06979","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2021-11-12T22:59:45Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"47ce237873796115a1487a01774cf6a26c862fbc2c99dd8a882eb9f8d5a66b2c","abstract_canon_sha256":"9ca60f1a1d72bd1f510981635d3cdef686a86e5374a9bc435035df3e6196f19e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:31:33.874437Z","signature_b64":"1DkT6Zizd0+n4UsopqcynydIVgHcZDcho6e5VJJfoFzWaeB2CPwcZ0PUixLSLermaBjqrDAif6nQD2knFQj0Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be994d451e4395ce3745df472c72cac98ed7858958441c7a8a833a37406ba8ec","last_reissued_at":"2026-07-05T03:31:33.873917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:31:33.873917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"q-bio.NC","authors_text":"David D. Cox, Hang Le, James J. DiCarlo, Jenelle Feather, Joel Dapello, Josh H. McDermott, SueYeon Chung, Tiago Marques","submitted_at":"2021-11-12T22:59:45Z","abstract_excerpt":"Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models diverge from biological sensory systems. Recent work has proposed adding biologically-inspired components to visual neural networks as a way to improve their adversarial robustness. One surprisingly effective component for reducing adversarial vulnerability is response stochasticity, like that exhibited by biological neurons. Here, using recently developed geometrical techniques from computational neuroscience, we investigate how adversarial perturbations influence"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.06979","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/2111.06979/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2111.06979","created_at":"2026-07-05T03:31:33.873978+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.06979v1","created_at":"2026-07-05T03:31:33.873978+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.06979","created_at":"2026-07-05T03:31:33.873978+00:00"},{"alias_kind":"pith_short_12","alias_value":"X2MU2RI6IOK4","created_at":"2026-07-05T03:31:33.873978+00:00"},{"alias_kind":"pith_short_16","alias_value":"X2MU2RI6IOK44N2F","created_at":"2026-07-05T03:31:33.873978+00:00"},{"alias_kind":"pith_short_8","alias_value":"X2MU2RI6","created_at":"2026-07-05T03:31:33.873978+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/X2MU2RI6IOK44N2F35DSY4WKZG","json":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG.json","graph_json":"https://pith.science/api/pith-number/X2MU2RI6IOK44N2F35DSY4WKZG/graph.json","events_json":"https://pith.science/api/pith-number/X2MU2RI6IOK44N2F35DSY4WKZG/events.json","paper":"https://pith.science/paper/X2MU2RI6"},"agent_actions":{"view_html":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG","download_json":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG.json","view_paper":"https://pith.science/paper/X2MU2RI6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.06979&json=true","fetch_graph":"https://pith.science/api/pith-number/X2MU2RI6IOK44N2F35DSY4WKZG/graph.json","fetch_events":"https://pith.science/api/pith-number/X2MU2RI6IOK44N2F35DSY4WKZG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG/action/storage_attestation","attest_author":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG/action/author_attestation","sign_citation":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG/action/citation_signature","submit_replication":"https://pith.science/pith/X2MU2RI6IOK44N2F35DSY4WKZG/action/replication_record"}},"created_at":"2026-07-05T03:31:33.873978+00:00","updated_at":"2026-07-05T03:31:33.873978+00:00"}