{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N674BXFVSUF2NECJAECBJH43L5","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":"7b170abd4e92e35a0997fbef8c225b8a9d2f9a838cb1b6e03acfb4aa00a983f0","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T06:57:02Z","title_canon_sha256":"ae835914307778c4daa627d621d986d2c670e6f70aa7633106a294876bd50247"},"schema_version":"1.0","source":{"id":"2607.11163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11163","created_at":"2026-07-14T01:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11163v1","created_at":"2026-07-14T01:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11163","created_at":"2026-07-14T01:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"N674BXFVSUF2","created_at":"2026-07-14T01:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"N674BXFVSUF2NECJ","created_at":"2026-07-14T01:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"N674BXFV","created_at":"2026-07-14T01:22:19Z"}],"graph_snapshots":[{"event_id":"sha256:fd9be451264674911056f4c6cc760cc3c2de32359c74e8ae59e2b15013e78680","target":"graph","created_at":"2026-07-14T01:22:19Z","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/2607.11163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale pretrained ASR models such as Whisper exhibit strong multilingual capabilities. However, fine-tuning on low-resource languages often causes catastrophic forgetting. Although continual learning mitigates this issue, existing methods struggle to regulate cross-task interference in multilingual settings, where dominant languages bias optimization. We propose Unified Gradient Projection (UGP), which constrains parameter updates using reference gradients from language-balanced replay in a unified projection space. By equalizing per-language contributions in the projection, UGP reduces d","authors_text":"Guodong Lin, Kaize Tan, Wei-Qiang Zhang, Yuchen Ai, Ziang Ren","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T06:57:02Z","title":"Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11163","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:b9110a01ad6db4c0012e227a9f61d0d791b1c615226be75317b9de7399b97906","target":"record","created_at":"2026-07-14T01:22:19Z","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":"7b170abd4e92e35a0997fbef8c225b8a9d2f9a838cb1b6e03acfb4aa00a983f0","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T06:57:02Z","title_canon_sha256":"ae835914307778c4daa627d621d986d2c670e6f70aa7633106a294876bd50247"},"schema_version":"1.0","source":{"id":"2607.11163","kind":"arxiv","version":1}},"canonical_sha256":"6fbfc0dcb5950ba690490104149f9b5f4776427a0abc6e9d74195dc50bb5ec98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fbfc0dcb5950ba690490104149f9b5f4776427a0abc6e9d74195dc50bb5ec98","first_computed_at":"2026-07-14T01:22:19.778043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:22:19.778043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kx+aH4hfXBAsZDVUJPOjz/Yz7kdFBLfSNXUQAIuHpql/kiTyCetURWs5Nh0vqRH/kMUmX3w+/7Ea4oucjvfxCQ==","signature_status":"signed_v1","signed_at":"2026-07-14T01:22:19.778896Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9110a01ad6db4c0012e227a9f61d0d791b1c615226be75317b9de7399b97906","sha256:fd9be451264674911056f4c6cc760cc3c2de32359c74e8ae59e2b15013e78680"],"state_sha256":"a15cdcd6abfee890d43fda310c9531e3e1761465b3193e8fc75512a110e41d30"}