{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OONURNW5ZRJXLZSL72O5CK4PSZ","short_pith_number":"pith:OONURNW5","canonical_record":{"source":{"id":"1802.06091","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T19:19:00Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"d02e85c477f7f39424fd17fca36f6b32677e8cd61f25096edc1048c1ab9917ca","abstract_canon_sha256":"ec9783167cc54cc161bc6c367749d9a5786343bdfc1b573aa7f479ea35e4d736"},"schema_version":"1.0"},"canonical_sha256":"739b48b6ddcc5375e64bfe9dd12b8f965e2aabb79c9cfa8d01b4bd45d58a9036","source":{"kind":"arxiv","id":"1802.06091","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06091","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06091v1","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06091","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"OONURNW5ZRJX","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OONURNW5ZRJXLZSL","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OONURNW5","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OONURNW5ZRJXLZSL72O5CK4PSZ","target":"record","payload":{"canonical_record":{"source":{"id":"1802.06091","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T19:19:00Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"d02e85c477f7f39424fd17fca36f6b32677e8cd61f25096edc1048c1ab9917ca","abstract_canon_sha256":"ec9783167cc54cc161bc6c367749d9a5786343bdfc1b573aa7f479ea35e4d736"},"schema_version":"1.0"},"canonical_sha256":"739b48b6ddcc5375e64bfe9dd12b8f965e2aabb79c9cfa8d01b4bd45d58a9036","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:04.533819Z","signature_b64":"UCUr7cam5KPRlsLSk7ftME3w329Lmt1uA+bkDaIrWVJ14t2F32SIIHrYk1UaP6yw8wbFmQhq7skXZ6Nv0FDQBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"739b48b6ddcc5375e64bfe9dd12b8f965e2aabb79c9cfa8d01b4bd45d58a9036","last_reissued_at":"2026-05-18T00:23:04.533059Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:04.533059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.06091","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":"2026-05-18T00:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dzUK7y8vj0vrlk6riFEzyZWMAdyD75Uk3zjWAmc1d9jsCwDvwKtrG3h9OvnbVyjNjzHRrm+jJHXXDw8YyoKACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T08:50:05.196897Z"},"content_sha256":"60a725adc057788769b6fcf810634744b7d80ce5ffea02ef6c164c545568c162","schema_version":"1.0","event_id":"sha256:60a725adc057788769b6fcf810634744b7d80ce5ffea02ef6c164c545568c162"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OONURNW5ZRJXLZSL72O5CK4PSZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bridging Cognitive Programs and Machine Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Amir Rosenfeld, John K. Tsotsos","submitted_at":"2018-02-16T19:19:00Z","abstract_excerpt":"While great advances are made in pattern recognition and machine learning, the successes of such fields remain restricted to narrow applications and seem to break down when training data is scarce, a shift in domain occurs, or when intelligent reasoning is required for rapid adaptation to new environments. In this work, we list several of the shortcomings of modern machine-learning solutions, specifically in the contexts of computer vision and in reinforcement learning and suggest directions to explore in order to try to ameliorate these weaknesses."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06091","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":""},"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":"2026-05-18T00:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/pi3SqhLpA6SMt9kwh6704ihDViN//+8Cp0zk3aERdUJG1sdPiXubnuOvx7tdwBLn12NujNeHSW6xKxIh2M+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T08:50:05.197245Z"},"content_sha256":"e4514ba69819e2be962f2a2d0b2b25c564addef5a6e290b36c7d1ceb500d505a","schema_version":"1.0","event_id":"sha256:e4514ba69819e2be962f2a2d0b2b25c564addef5a6e290b36c7d1ceb500d505a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/bundle.json","state_url":"https://pith.science/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/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":"2026-06-02T08:50:05Z","links":{"resolver":"https://pith.science/pith/OONURNW5ZRJXLZSL72O5CK4PSZ","bundle":"https://pith.science/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/bundle.json","state":"https://pith.science/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OONURNW5ZRJXLZSL72O5CK4PSZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OONURNW5ZRJXLZSL72O5CK4PSZ","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":"ec9783167cc54cc161bc6c367749d9a5786343bdfc1b573aa7f479ea35e4d736","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T19:19:00Z","title_canon_sha256":"d02e85c477f7f39424fd17fca36f6b32677e8cd61f25096edc1048c1ab9917ca"},"schema_version":"1.0","source":{"id":"1802.06091","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06091","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06091v1","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06091","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"OONURNW5ZRJX","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OONURNW5ZRJXLZSL","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OONURNW5","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:e4514ba69819e2be962f2a2d0b2b25c564addef5a6e290b36c7d1ceb500d505a","target":"graph","created_at":"2026-05-18T00:23:04Z","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":"While great advances are made in pattern recognition and machine learning, the successes of such fields remain restricted to narrow applications and seem to break down when training data is scarce, a shift in domain occurs, or when intelligent reasoning is required for rapid adaptation to new environments. In this work, we list several of the shortcomings of modern machine-learning solutions, specifically in the contexts of computer vision and in reinforcement learning and suggest directions to explore in order to try to ameliorate these weaknesses.","authors_text":"Amir Rosenfeld, John K. Tsotsos","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T19:19:00Z","title":"Bridging Cognitive Programs and Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06091","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":"sha256:60a725adc057788769b6fcf810634744b7d80ce5ffea02ef6c164c545568c162","target":"record","created_at":"2026-05-18T00:23:04Z","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":"ec9783167cc54cc161bc6c367749d9a5786343bdfc1b573aa7f479ea35e4d736","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-16T19:19:00Z","title_canon_sha256":"d02e85c477f7f39424fd17fca36f6b32677e8cd61f25096edc1048c1ab9917ca"},"schema_version":"1.0","source":{"id":"1802.06091","kind":"arxiv","version":1}},"canonical_sha256":"739b48b6ddcc5375e64bfe9dd12b8f965e2aabb79c9cfa8d01b4bd45d58a9036","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"739b48b6ddcc5375e64bfe9dd12b8f965e2aabb79c9cfa8d01b4bd45d58a9036","first_computed_at":"2026-05-18T00:23:04.533059Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:04.533059Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UCUr7cam5KPRlsLSk7ftME3w329Lmt1uA+bkDaIrWVJ14t2F32SIIHrYk1UaP6yw8wbFmQhq7skXZ6Nv0FDQBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:04.533819Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.06091","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60a725adc057788769b6fcf810634744b7d80ce5ffea02ef6c164c545568c162","sha256:e4514ba69819e2be962f2a2d0b2b25c564addef5a6e290b36c7d1ceb500d505a"],"state_sha256":"9a8cfa739a576532b24266cfabad65ba5e6711d2988ec97c9a87c75b26603124"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bwWb56z74ZrIWcNjZgKM0b3Ly2gc/4mImq8FSygB5kM7tRGTQI0fFFeiYTBPyyLwWEQw2MJvR7nD5hqq2KR2Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T08:50:05.199618Z","bundle_sha256":"39892c7a0caad65fc9e1739426debfadf3345a4a7cbb9ebf305e194c54ac4a4a"}}