{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:G523BRXOR4R2YAPAK5SZBIML2V","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":"c1e3c62127235b49f92f869d2ed245e0ae6dee88cd1dc63a535360d609251ad9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T20:09:08Z","title_canon_sha256":"8894cdfcef2cc449c58fb71152a58fffc66e1efc4b7c4ba42a08604d52644626"},"schema_version":"1.0","source":{"id":"2311.06379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06379","created_at":"2026-07-05T07:11:39Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06379v1","created_at":"2026-07-05T07:11:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06379","created_at":"2026-07-05T07:11:39Z"},{"alias_kind":"pith_short_12","alias_value":"G523BRXOR4R2","created_at":"2026-07-05T07:11:39Z"},{"alias_kind":"pith_short_16","alias_value":"G523BRXOR4R2YAPA","created_at":"2026-07-05T07:11:39Z"},{"alias_kind":"pith_short_8","alias_value":"G523BRXO","created_at":"2026-07-05T07:11:39Z"}],"graph_snapshots":[{"event_id":"sha256:c6775ed1392511ce6580b13b743f5e1f4d9c9ccbdaa58d39cd7b06527cbe9cf6","target":"graph","created_at":"2026-07-05T07:11:39Z","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/2311.06379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider the task of optimally fine-tuning pre-trained multilingual models, given small amounts of unlabelled target data and an annotation budget. In this paper, we introduce DEMUX, a framework that prescribes the exact data-points to label from vast amounts of unlabelled multilingual data, having unknown degrees of overlap with the target set. Unlike most prior works, our end-to-end framework is language-agnostic, accounts for model representations, and supports multilingual target configurations. Our active learning strategies rely upon distance and uncertainty measures to select task-sp","authors_text":"Graham Neubig, Lucio Dery, Simran Khanuja, Srinivas Gowriraj","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T20:09:08Z","title":"DeMuX: Data-efficient Multilingual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06379","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":"sha256:12034c793eb8bdb506c9e9d07d64aea29e3e03b8fa071dd7c12c46a088b37bba","target":"record","created_at":"2026-07-05T07:11:39Z","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":"c1e3c62127235b49f92f869d2ed245e0ae6dee88cd1dc63a535360d609251ad9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T20:09:08Z","title_canon_sha256":"8894cdfcef2cc449c58fb71152a58fffc66e1efc4b7c4ba42a08604d52644626"},"schema_version":"1.0","source":{"id":"2311.06379","kind":"arxiv","version":1}},"canonical_sha256":"3775b0c6ee8f23ac01e0576590a18bd5466035633b347bafd0c524f9c4219e67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3775b0c6ee8f23ac01e0576590a18bd5466035633b347bafd0c524f9c4219e67","first_computed_at":"2026-07-05T07:11:39.184915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:39.184915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FSGFI2X2CnL2OXR+B+s6NuVBiKRHs3aivEY1YwXTNtE5HckFg1ugFgI8+ORXbzqncZ/PuzN1anb6rz3PpX6EDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:39.185367Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.06379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12034c793eb8bdb506c9e9d07d64aea29e3e03b8fa071dd7c12c46a088b37bba","sha256:c6775ed1392511ce6580b13b743f5e1f4d9c9ccbdaa58d39cd7b06527cbe9cf6"],"state_sha256":"f61994f8d230c91dc4103a1c7354c21ba78a0af8fd8a09fb77239f4ffe3abf3c"}