{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VXAM2E2VKWCUNAXJAC7GXMVOE6","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":"03b330b258ef040d448307979d772de7dfffa23f2a09c332b782cddb49e80032","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T18:34:21Z","title_canon_sha256":"77721b62895b8f148689969db04f5354eddd99457daed4acce9369819ef17753"},"schema_version":"1.0","source":{"id":"2606.18389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18389","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18389v1","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18389","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"VXAM2E2VKWCU","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_16","alias_value":"VXAM2E2VKWCUNAXJ","created_at":"2026-06-19T16:11:00Z"},{"alias_kind":"pith_short_8","alias_value":"VXAM2E2V","created_at":"2026-06-19T16:11:00Z"}],"graph_snapshots":[{"event_id":"sha256:a2a2c725a1aacf265dc8f989abe17f9925ca94d8074ccbfe373a468e3b54a282","target":"graph","created_at":"2026-06-19T16:11:00Z","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/2606.18389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have become an effective tool for synthetic data generation, including for low-resource languages, where generated data can improve downstream task performance. Current best-performing approaches typically rely on few-shot prompting with target-language examples, which increases inference costs and may reduce diversity through lexical anchoring. In this work, we investigate activation steering as an alternative for low-resource synthetic data generation. We study two steering strategies: Language Steering, which targets the linguistic identity of a language, and Qu","authors_text":"Daniil Gurgurov, Jan Cegin, Simon Ostermann, Yusser Al Ghussin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T18:34:21Z","title":"Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18389","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:b32779c65eda5ba91a864bb0128b8521a16531bd72b01d8001a56c88ea239777","target":"record","created_at":"2026-06-19T16:11:00Z","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":"03b330b258ef040d448307979d772de7dfffa23f2a09c332b782cddb49e80032","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T18:34:21Z","title_canon_sha256":"77721b62895b8f148689969db04f5354eddd99457daed4acce9369819ef17753"},"schema_version":"1.0","source":{"id":"2606.18389","kind":"arxiv","version":1}},"canonical_sha256":"adc0cd135555854682e900be6bb2ae279c17b9eeba485e770b84e2cb27543d29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adc0cd135555854682e900be6bb2ae279c17b9eeba485e770b84e2cb27543d29","first_computed_at":"2026-06-19T16:11:00.051325Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:00.051325Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9RzDOqoJLxM3yCBzFREx+4axgj22zAeoR3TB3laB/mK4+pKT7GDrY4CiOfoWZHQ5KC9BvreAk7uZA+SRjHRkCQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:00.051667Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b32779c65eda5ba91a864bb0128b8521a16531bd72b01d8001a56c88ea239777","sha256:a2a2c725a1aacf265dc8f989abe17f9925ca94d8074ccbfe373a468e3b54a282"],"state_sha256":"2ddd60c5dcd797d5affa0f1315336669436c8e833b559037f9f80a3a5661571c"}