{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I4L3RZIVJBOTKCIXIUFB2VJJRR","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":"48fd6cf294d8232eb0f4417d7676d3e8fc55302fcc13179bd005aa746f59faf1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T12:34:28Z","title_canon_sha256":"9667683149a0dc83b30971dbe4c0105f3b7e9fb04f28e31d7a4b517b6e4dd246"},"schema_version":"1.0","source":{"id":"2505.24525","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24525","created_at":"2026-07-05T11:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24525v1","created_at":"2026-07-05T11:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24525","created_at":"2026-07-05T11:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"I4L3RZIVJBOT","created_at":"2026-07-05T11:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"I4L3RZIVJBOTKCIX","created_at":"2026-07-05T11:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"I4L3RZIV","created_at":"2026-07-05T11:12:51Z"}],"graph_snapshots":[{"event_id":"sha256:14ac636c7ccd756fdf0572435bb3ec6d5ab4401a09a0c399235f10bdf2090293","target":"graph","created_at":"2026-07-05T11:12:51Z","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/2505.24525/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-lingual transfer from related high-resource languages is a well-established strategy to enhance low-resource language technologies. Prior work has shown that adapters show promise for, e.g., improving low-resource machine translation (MT). In this work, we investigate an adapter souping method combined with cross-attention fine-tuning of a pre-trained MT model to leverage language transfer for three low-resource Creole languages, which exhibit relatedness to different language groups across distinct linguistic dimensions. Our approach improves performance substantially over baselines. Ho","authors_text":"E. Djeride Jean-Baptiste, Ernests Lavrinovics, Heather Lent, Johannes Bjerva, Marcell Fekete, Nathaniel R. Robinson, Raj Dabre","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T12:34:28Z","title":"Limited-Resource Adapters Are Regularizers, Not Linguists"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24525","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":"sha256:435ee380fc820ba5459785a05568896d1bf5bffcc38ab2e4a87dc74758326d51","target":"record","created_at":"2026-07-05T11:12:51Z","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":"48fd6cf294d8232eb0f4417d7676d3e8fc55302fcc13179bd005aa746f59faf1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T12:34:28Z","title_canon_sha256":"9667683149a0dc83b30971dbe4c0105f3b7e9fb04f28e31d7a4b517b6e4dd246"},"schema_version":"1.0","source":{"id":"2505.24525","kind":"arxiv","version":1}},"canonical_sha256":"4717b8e515485d350917450a1d55298c45037d533d2902ab4361ba4f10ad3080","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4717b8e515485d350917450a1d55298c45037d533d2902ab4361ba4f10ad3080","first_computed_at":"2026-07-05T11:12:51.777905Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:51.777905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e4ScGHZ79IM5atHkqRnFSL8jaXMy/Ven73t162CpLmm8jrWlUopzETtfdAMCUsNYLC8UiXRi7YuZ+uPuyxFeCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:51.778410Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24525","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:435ee380fc820ba5459785a05568896d1bf5bffcc38ab2e4a87dc74758326d51","sha256:14ac636c7ccd756fdf0572435bb3ec6d5ab4401a09a0c399235f10bdf2090293"],"state_sha256":"bcb83a1ca702832abb469a56a897db9bfbd9080dcb3d75adde4aae78f9fd29a2"}