{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IO4ZGATAGEOMMWMKJPM66K3MN3","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":"19e5ebd5c5be9d5a502075698d201a341c88bf45db191ddc9ae495fadc5d8dc1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T14:33:20Z","title_canon_sha256":"dcca36f7a08f5bc3d3cc46174fbc858855acffbc1bb5fd2b33fabbd56e0bb722"},"schema_version":"1.0","source":{"id":"2309.16467","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16467","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16467v2","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16467","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_12","alias_value":"IO4ZGATAGEOM","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_16","alias_value":"IO4ZGATAGEOMMWMK","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_8","alias_value":"IO4ZGATA","created_at":"2026-07-05T07:34:51Z"}],"graph_snapshots":[{"event_id":"sha256:01c7b8e4ff4caca8f33c7f6d017fe51abd01eadd8db26a29ea9de0ca42755952","target":"graph","created_at":"2026-07-05T07:34:51Z","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/2309.16467/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Compositional generalization is a key ability of humans that enables us to learn new concepts from only a handful examples. Neural machine learning models, including the now ubiquitous Transformers, struggle to generalize in this way, and typically require thousands of examples of a concept during training in order to generalize meaningfully. This difference in ability between humans and artificial neural architectures, motivates this study on a neuro-symbolic architecture called the Compositional Program Generator (CPG). CPG has three key features: \\textit{modularity}, \\textit{composition}, a","authors_text":"Alexander Gray, Luke Liu, Maxwell Crouse, Parikshit Ram, Soham Dan, Tim Klinger","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T14:33:20Z","title":"Compositional Program Generation for Few-Shot Systematic Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16467","kind":"arxiv","version":2},"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":"sha256:5fa38563fad16cd92687d15cd90824a05ed4ed85759cd6b36ab231b57fb74e05","target":"record","created_at":"2026-07-05T07:34:51Z","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":"19e5ebd5c5be9d5a502075698d201a341c88bf45db191ddc9ae495fadc5d8dc1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T14:33:20Z","title_canon_sha256":"dcca36f7a08f5bc3d3cc46174fbc858855acffbc1bb5fd2b33fabbd56e0bb722"},"schema_version":"1.0","source":{"id":"2309.16467","kind":"arxiv","version":2}},"canonical_sha256":"43b9930260311cc6598a4bd9ef2b6c6ef83ecedebec6f3a4e3945a2bb960d4fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43b9930260311cc6598a4bd9ef2b6c6ef83ecedebec6f3a4e3945a2bb960d4fc","first_computed_at":"2026-07-05T07:34:51.262834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:51.262834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m9bT+CdzJpE2GzRmjTG8uReVynpSH4EwMvShbxPW0gY+rwPBcG/5Yne+0saayQeTkjn66QvKQgMXUJkb0i29CA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:51.263216Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16467","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fa38563fad16cd92687d15cd90824a05ed4ed85759cd6b36ab231b57fb74e05","sha256:01c7b8e4ff4caca8f33c7f6d017fe51abd01eadd8db26a29ea9de0ca42755952"],"state_sha256":"3bbdc8a353ee40e9c0607eb8bf8c9b8f8bdf0b2dfd70fd70b9385e0379904e32"}