{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E7KJ26BAJSVXPGDVZ545RCECTZ","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":"e44257cfce75fa0e8916e2e62f1c36d32d9d7dfa96bb09840e5ad438bf1fd663","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-01T01:49:08Z","title_canon_sha256":"afc97f2a8b5a6e2f13eeccf97730e3b05d02f1aff65bf81b7f3fd2b5a2af07ad"},"schema_version":"1.0","source":{"id":"2304.00195","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00195","created_at":"2026-07-05T08:07:27Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00195v4","created_at":"2026-07-05T08:07:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00195","created_at":"2026-07-05T08:07:27Z"},{"alias_kind":"pith_short_12","alias_value":"E7KJ26BAJSVX","created_at":"2026-07-05T08:07:27Z"},{"alias_kind":"pith_short_16","alias_value":"E7KJ26BAJSVXPGDV","created_at":"2026-07-05T08:07:27Z"},{"alias_kind":"pith_short_8","alias_value":"E7KJ26BA","created_at":"2026-07-05T08:07:27Z"}],"graph_snapshots":[{"event_id":"sha256:c771a0f76c96855394d2de58d84c5a3b14ee63cf3fcb4515b0a0116752b6af0b","target":"graph","created_at":"2026-07-05T08:07:27Z","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/2304.00195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An extension of Transformers is proposed that enables explicit relational reasoning through a novel module called the Abstractor. At the core of the Abstractor is a variant of attention called relational cross-attention. The approach is motivated by an architectural inductive bias for relational learning that disentangles relational information from object-level features. This enables explicit relational reasoning, supporting abstraction and generalization from limited data. The Abstractor is first evaluated on simple discriminative relational tasks and compared to existing relational architec","authors_text":"Awni Altabaa, John Lafferty, Jonathan Cohen, Taylor Webb","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-01T01:49:08Z","title":"Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00195","kind":"arxiv","version":4},"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":"sha256:5a5e780095a322faad1b7e602c8c3bd3463971aa74b4783b096401536c323fd2","target":"record","created_at":"2026-07-05T08:07:27Z","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":"e44257cfce75fa0e8916e2e62f1c36d32d9d7dfa96bb09840e5ad438bf1fd663","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-01T01:49:08Z","title_canon_sha256":"afc97f2a8b5a6e2f13eeccf97730e3b05d02f1aff65bf81b7f3fd2b5a2af07ad"},"schema_version":"1.0","source":{"id":"2304.00195","kind":"arxiv","version":4}},"canonical_sha256":"27d49d78204cab779875cf79d888829e5b82e2f64e98a91772e9dc4878f878ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27d49d78204cab779875cf79d888829e5b82e2f64e98a91772e9dc4878f878ee","first_computed_at":"2026-07-05T08:07:27.164366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:07:27.164366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y2fPkCI3Ov9r1emZgmx9ih8mC2Ud1nINlgsHFhQMMKA0lmXR1kuh+gA/qMMGSqdcB/KSHThbdZxVcQ5yMDROCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:07:27.164847Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.00195","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a5e780095a322faad1b7e602c8c3bd3463971aa74b4783b096401536c323fd2","sha256:c771a0f76c96855394d2de58d84c5a3b14ee63cf3fcb4515b0a0116752b6af0b"],"state_sha256":"a228843ab0dc2a74396f1be380ac67581b0c331111ac41934470fa27cecb60d4"}