{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TBOO52FMIIHZ2Q6E6STL66TYDO","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":"8192269f5345eb63007e3e1bd09594258b96ff1791d8abb0724675706327579a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T11:49:20Z","title_canon_sha256":"94757a46da1c4c79b82b0e09ab3723e92c186595fbdb5d09c661142df33c6174"},"schema_version":"1.0","source":{"id":"2607.22699","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22699","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22699v1","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22699","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"TBOO52FMIIHZ","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"TBOO52FMIIHZ2Q6E","created_at":"2026-07-28T00:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"TBOO52FM","created_at":"2026-07-28T00:21:49Z"}],"graph_snapshots":[{"event_id":"sha256:67770931cd8574b3c1c2dbf60aafc751add285ae0e90c7d12534d78190b54a60","target":"graph","created_at":"2026-07-28T00:21:49Z","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/2607.22699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Large Language Models (LLMs) grow more capable across diverse tasks, their (in)ability to generalize remains difficult to quantify and poorly understood beyond limited domains. In particular, LLMs are known to struggle generalizing multilingually, to languages outside of English, and that are poorly attested in their training data. To understand why this may be, and what enables some models to perform better than others, we turn to a long history of work across the cognitive sciences, arguing that successful generalization derives from appropriate representations in similarity space. We loo","authors_text":"Adele Goldberg, Henry Conklin, Supantho Rakshit","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T11:49:20Z","title":"Similarity All The Way Up: Multilingual Generalization in LLMs Relies on Language-Level Similarity Structures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22699","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":"sha256:08a8474b01ba9e726055b6c3cbdc4ba2f1a725950d5d74e6e2eb52962d352920","target":"record","created_at":"2026-07-28T00:21:49Z","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":"8192269f5345eb63007e3e1bd09594258b96ff1791d8abb0724675706327579a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-18T11:49:20Z","title_canon_sha256":"94757a46da1c4c79b82b0e09ab3723e92c186595fbdb5d09c661142df33c6174"},"schema_version":"1.0","source":{"id":"2607.22699","kind":"arxiv","version":1}},"canonical_sha256":"985ceee8ac420f9d43c4f4a6bf7a781ba0708eccf960acf6ce77469bc8682a8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"985ceee8ac420f9d43c4f4a6bf7a781ba0708eccf960acf6ce77469bc8682a8d","first_computed_at":"2026-07-28T00:21:49.731933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:21:49.731933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KoCzM0SEmyJrSjQCgvWfxLJkS7B4zjEZ038veuZTPM6kFhnCmgPvcJhvezpT/BNjtZEiTOD2+vbIafj0g5n1AA==","signature_status":"signed_v1","signed_at":"2026-07-28T00:21:49.732775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22699","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08a8474b01ba9e726055b6c3cbdc4ba2f1a725950d5d74e6e2eb52962d352920","sha256:67770931cd8574b3c1c2dbf60aafc751add285ae0e90c7d12534d78190b54a60"],"state_sha256":"ee70e63c708407a73c6dca49d136f29bc925fea2fd0588e7a385d4c7de073380"}