{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6PYY7K2XSOIWFCTVAW7YP2RHHG","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":"b9e6d0039fac9b603e76b2bc6468cbf458cfead1f6622ecae7c20843585a13cf","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T16:39:07Z","title_canon_sha256":"02dd2a2031345e0b3cf21daa44aa38933eefc7e3edd5073b4f0ecbf357a540cc"},"schema_version":"1.0","source":{"id":"2602.18333","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18333","created_at":"2026-06-01T01:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18333v2","created_at":"2026-06-01T01:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18333","created_at":"2026-06-01T01:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"6PYY7K2XSOIW","created_at":"2026-06-01T01:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"6PYY7K2XSOIWFCTV","created_at":"2026-06-01T01:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"6PYY7K2X","created_at":"2026-06-01T01:02:34Z"}],"graph_snapshots":[{"event_id":"sha256:bb3d607ce85a797554c83755bd49023808ab9ab23cdccccb814d030a941259ce","target":"graph","created_at":"2026-06-01T01:02:34Z","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/2602.18333/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the remarkable practical success of transformer-based language models, recent work has raised concerns about their ability to perform state tracking. In particular, a growing body of literature has shown this limitation primarily through failures in out-of-distribution (OOD) generalization, such as length extrapolation. In this work, we shift attention to the in-distribution implications of these limitations. We conduct a large-scale experimental study of the data efficiency of transformers and recurrent neural networks (RNNs) across multiple supervision regimes. We find that the amoun","authors_text":"Micha\\\"el Defferrard, M.Reza Ebrahimi, Roland Memisevic, Sunny Panchal","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T16:39:07Z","title":"On the \"Induction Bias\" in Sequence Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18333","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":"sha256:2b64989033f2f6b57540a802e2ac8e09c33401da972c24caa1940ad7d14ce204","target":"record","created_at":"2026-06-01T01:02:34Z","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":"b9e6d0039fac9b603e76b2bc6468cbf458cfead1f6622ecae7c20843585a13cf","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-20T16:39:07Z","title_canon_sha256":"02dd2a2031345e0b3cf21daa44aa38933eefc7e3edd5073b4f0ecbf357a540cc"},"schema_version":"1.0","source":{"id":"2602.18333","kind":"arxiv","version":2}},"canonical_sha256":"f3f18fab579391628a7505bf87ea2739adbf2b0076b89b47ae9e8ff40d6f9232","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3f18fab579391628a7505bf87ea2739adbf2b0076b89b47ae9e8ff40d6f9232","first_computed_at":"2026-06-01T01:02:34.881637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:34.881637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1axDVm8mkeKvTB/YKh4NQosVePra929o3POumOUwhx/aoFFCpIIzinvY5ZHa6IUhgwcy0Ve7BPDdEV8MAV7eAg==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:34.882805Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.18333","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b64989033f2f6b57540a802e2ac8e09c33401da972c24caa1940ad7d14ce204","sha256:bb3d607ce85a797554c83755bd49023808ab9ab23cdccccb814d030a941259ce"],"state_sha256":"08f21ffbcfcdbca3006cfe03c85625d699141939bfd6df63d03b6dbc25e51247"}