{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:MICJWXMGUDUHUDAO7ATPGD5CAD","short_pith_number":"pith:MICJWXMG","canonical_record":{"source":{"id":"1811.01768","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-11-05T15:01:59Z","cross_cats_sorted":[],"title_canon_sha256":"632bd5d42afd3fb69abe6a62da161bb14d7c8b8737bba1be16ed2cbe8244ee40","abstract_canon_sha256":"df1a8b5ef545141c99a6c3cccbcd8dbf0fea2a8e038791f441e948a69d05023e"},"schema_version":"1.0"},"canonical_sha256":"62049b5d86a0e87a0c0ef826f30fa200e120986dff38aa1d36aa58fb27a83471","source":{"kind":"arxiv","id":"1811.01768","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.01768","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"1811.01768v3","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.01768","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"MICJWXMGUDUH","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MICJWXMGUDUHUDAO","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MICJWXMG","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:MICJWXMGUDUHUDAO7ATPGD5CAD","target":"record","payload":{"canonical_record":{"source":{"id":"1811.01768","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-11-05T15:01:59Z","cross_cats_sorted":[],"title_canon_sha256":"632bd5d42afd3fb69abe6a62da161bb14d7c8b8737bba1be16ed2cbe8244ee40","abstract_canon_sha256":"df1a8b5ef545141c99a6c3cccbcd8dbf0fea2a8e038791f441e948a69d05023e"},"schema_version":"1.0"},"canonical_sha256":"62049b5d86a0e87a0c0ef826f30fa200e120986dff38aa1d36aa58fb27a83471","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:45.762901Z","signature_b64":"SerdMVr3vdBgGVWFF14jWpiYQu/su4aC82p5bjFNrD/8wDXjRLv/V0mtIZCII5kKd0v9sYmAR6tkL81ooSrNBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62049b5d86a0e87a0c0ef826f30fa200e120986dff38aa1d36aa58fb27a83471","last_reissued_at":"2026-05-17T23:41:45.762338Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:45.762338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.01768","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"buK1CyZ5Zb91CZYvcRHThGFbpD1KimfIJ6ziUw1vZ3Mrqce86ao7P68FM1rZFU6Wy8RlPPPkfSwtADhJRk4iBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:08:04.096600Z"},"content_sha256":"ac4e565d18110e3de560a4739979c51829da2a1afac00f94ffb96accd3d89f13","schema_version":"1.0","event_id":"sha256:ac4e565d18110e3de560a4739979c51829da2a1afac00f94ffb96accd3d89f13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:MICJWXMGUDUHUDAO7ATPGD5CAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Biologically Plausible Learning Rule for Deep Learning in the Brain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Isabella Pozzi, Pieter Roelfsema, Sander Boht\\'e","submitted_at":"2018-11-05T15:01:59Z","abstract_excerpt":"Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks are biologically unrealistic and would need to be replaced by biologically realistic counterparts. Previous biologically plausible reinforcement learning rules, like AGREL and AuGMEnT, showed promising results but focused on shallow networks with three layers. Will these learning rules also generalize to networks with more layers and can they "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.01768","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tSMqb09Xw7lWNGq6+d7T+VIEJ7b2oBso0Lwn1aksq8g8xims65B2uYrbgZMBwliaSw/sPeqGASqPkUEvUjgkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:08:04.096947Z"},"content_sha256":"938459a129f67b5b998e9b88dd27e3a59c75c45be7a0d7766f893bcb10629536","schema_version":"1.0","event_id":"sha256:938459a129f67b5b998e9b88dd27e3a59c75c45be7a0d7766f893bcb10629536"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/bundle.json","state_url":"https://pith.science/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/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":"2026-05-27T18:08:04Z","links":{"resolver":"https://pith.science/pith/MICJWXMGUDUHUDAO7ATPGD5CAD","bundle":"https://pith.science/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/bundle.json","state":"https://pith.science/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MICJWXMGUDUHUDAO7ATPGD5CAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MICJWXMGUDUHUDAO7ATPGD5CAD","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":"df1a8b5ef545141c99a6c3cccbcd8dbf0fea2a8e038791f441e948a69d05023e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-11-05T15:01:59Z","title_canon_sha256":"632bd5d42afd3fb69abe6a62da161bb14d7c8b8737bba1be16ed2cbe8244ee40"},"schema_version":"1.0","source":{"id":"1811.01768","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.01768","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"1811.01768v3","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.01768","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"MICJWXMGUDUH","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MICJWXMGUDUHUDAO","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MICJWXMG","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:938459a129f67b5b998e9b88dd27e3a59c75c45be7a0d7766f893bcb10629536","target":"graph","created_at":"2026-05-17T23:41:45Z","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":"Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks are biologically unrealistic and would need to be replaced by biologically realistic counterparts. Previous biologically plausible reinforcement learning rules, like AGREL and AuGMEnT, showed promising results but focused on shallow networks with three layers. Will these learning rules also generalize to networks with more layers and can they ","authors_text":"Isabella Pozzi, Pieter Roelfsema, Sander Boht\\'e","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-11-05T15:01:59Z","title":"A Biologically Plausible Learning Rule for Deep Learning in the Brain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.01768","kind":"arxiv","version":3},"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:ac4e565d18110e3de560a4739979c51829da2a1afac00f94ffb96accd3d89f13","target":"record","created_at":"2026-05-17T23:41:45Z","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":"df1a8b5ef545141c99a6c3cccbcd8dbf0fea2a8e038791f441e948a69d05023e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-11-05T15:01:59Z","title_canon_sha256":"632bd5d42afd3fb69abe6a62da161bb14d7c8b8737bba1be16ed2cbe8244ee40"},"schema_version":"1.0","source":{"id":"1811.01768","kind":"arxiv","version":3}},"canonical_sha256":"62049b5d86a0e87a0c0ef826f30fa200e120986dff38aa1d36aa58fb27a83471","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62049b5d86a0e87a0c0ef826f30fa200e120986dff38aa1d36aa58fb27a83471","first_computed_at":"2026-05-17T23:41:45.762338Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:45.762338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SerdMVr3vdBgGVWFF14jWpiYQu/su4aC82p5bjFNrD/8wDXjRLv/V0mtIZCII5kKd0v9sYmAR6tkL81ooSrNBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:45.762901Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.01768","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac4e565d18110e3de560a4739979c51829da2a1afac00f94ffb96accd3d89f13","sha256:938459a129f67b5b998e9b88dd27e3a59c75c45be7a0d7766f893bcb10629536"],"state_sha256":"d018055961cb5278399ce19eb28000052175dd1a14c6e93c0a2f307f8850a85d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bL6kQwI/W130au+2RyAnOiaWrPnAY9GOQ8f/sCIzdCq0VAdiaeE+l6X2DOQvyfJaPlospY5mSccVWAmfbIw0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T18:08:04.100055Z","bundle_sha256":"267055d2c56f1f4dbb5e30ac34e08af37ea916d0a71c12fef36bd05f0ad3fe0d"}}