{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PBYS7LEDI2ICFH4G45TAK4ZZM7","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":"dd8a820356958540380376f3080e8fd94d068148e8000f22edb8be9bde74fa01","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-19T04:03:20Z","title_canon_sha256":"a9ec74926bcab6bccf25d5ab14e953218d3b57a84e0d1e24126da5a08878331e"},"schema_version":"1.0","source":{"id":"2209.08750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.08750","created_at":"2026-07-05T04:58:45Z"},{"alias_kind":"arxiv_version","alias_value":"2209.08750v1","created_at":"2026-07-05T04:58:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.08750","created_at":"2026-07-05T04:58:45Z"},{"alias_kind":"pith_short_12","alias_value":"PBYS7LEDI2IC","created_at":"2026-07-05T04:58:45Z"},{"alias_kind":"pith_short_16","alias_value":"PBYS7LEDI2ICFH4G","created_at":"2026-07-05T04:58:45Z"},{"alias_kind":"pith_short_8","alias_value":"PBYS7LED","created_at":"2026-07-05T04:58:45Z"}],"graph_snapshots":[{"event_id":"sha256:ae4c6d39358b933f9306d7bfe2900f8e2f65e7183cb6344d6cb5c3805b99cc03","target":"graph","created_at":"2026-07-05T04:58:45Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2209.08750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analogical Reasoning problems challenge both connectionist and symbolic AI systems as these entail a combination of background knowledge, reasoning and pattern recognition. While symbolic systems ingest explicit domain knowledge and perform deductive reasoning, they are sensitive to noise and require inputs be mapped to preset symbolic features. Connectionist systems on the other hand can directly ingest rich input spaces such as images, text or speech and recognize pattern even with noisy inputs. However, connectionist models struggle to include explicit domain knowledge for deductive reasoni","authors_text":"Aditya Sharma, Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Vishwa Shah","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-19T04:03:20Z","title":"Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.08750","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:d07c4eb7e0baad5704fd5da305b0ffc54b6ad675298787a80bfba29bbdf68937","target":"record","created_at":"2026-07-05T04:58:45Z","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":"dd8a820356958540380376f3080e8fd94d068148e8000f22edb8be9bde74fa01","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-09-19T04:03:20Z","title_canon_sha256":"a9ec74926bcab6bccf25d5ab14e953218d3b57a84e0d1e24126da5a08878331e"},"schema_version":"1.0","source":{"id":"2209.08750","kind":"arxiv","version":1}},"canonical_sha256":"78712fac834690229f86e76605733967fa58dda431ecb19dde64e76d257f3c82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78712fac834690229f86e76605733967fa58dda431ecb19dde64e76d257f3c82","first_computed_at":"2026-07-05T04:58:45.282939Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:58:45.282939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1idrBoM8jUDxR2Z450dS9QE/A2Fo6nzKN9WAE/693uTT8gTen2BBCXfWRWbn1HrnMcr5vHFCob/AfTz/YLCPBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:58:45.283375Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.08750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d07c4eb7e0baad5704fd5da305b0ffc54b6ad675298787a80bfba29bbdf68937","sha256:ae4c6d39358b933f9306d7bfe2900f8e2f65e7183cb6344d6cb5c3805b99cc03"],"state_sha256":"0413e8b796a6e026e08fb90d0d857bd073999474150dc83c7f79a406b18a9d7e"}