{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XAE6UX7W2TZMQTWW6LOQEELHOW","short_pith_number":"pith:XAE6UX7W","canonical_record":{"source":{"id":"2403.15882","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-23T16:26:49Z","cross_cats_sorted":[],"title_canon_sha256":"d7fa9ae7a90dcaa5f7ac61b0ead500c8cff0fbfeecf517e61e41bfc1695a74e9","abstract_canon_sha256":"d131f45c93784dab79bba633e150658407c852ba1c3e6da2ee8074c0219e5275"},"schema_version":"1.0"},"canonical_sha256":"b809ea5ff6d4f2c84ed6f2dd0211677587c22da4a6e9767bf4ef4f4c49777d41","source":{"kind":"arxiv","id":"2403.15882","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15882","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15882v1","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15882","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_12","alias_value":"XAE6UX7W2TZM","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_16","alias_value":"XAE6UX7W2TZMQTWW","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_8","alias_value":"XAE6UX7W","created_at":"2026-07-05T08:00:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XAE6UX7W2TZMQTWW6LOQEELHOW","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15882","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-23T16:26:49Z","cross_cats_sorted":[],"title_canon_sha256":"d7fa9ae7a90dcaa5f7ac61b0ead500c8cff0fbfeecf517e61e41bfc1695a74e9","abstract_canon_sha256":"d131f45c93784dab79bba633e150658407c852ba1c3e6da2ee8074c0219e5275"},"schema_version":"1.0"},"canonical_sha256":"b809ea5ff6d4f2c84ed6f2dd0211677587c22da4a6e9767bf4ef4f4c49777d41","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:07.724737Z","signature_b64":"8YDxaR4y9+GtVDlVqc4Z7p/uhc+cNQ7tCqgQ1iAXeZpAYVkXbh6ManmKBzJJPTbwybYeT69k3cAJvz3jRz+3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b809ea5ff6d4f2c84ed6f2dd0211677587c22da4a6e9767bf4ef4f4c49777d41","last_reissued_at":"2026-07-05T08:00:07.724347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:07.724347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15882","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:00:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UQ1YG/XYgyPdhswGB3zAJ8x7bnT0yOaih5Fmf3Xh9kEypVfIfTpvuMCxrGOwbJ6naakCp7KURwlFnQ2B5qHdDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T04:43:51.661877Z"},"content_sha256":"27e9e28c19767df4fbc7ca726a15477693e96e99580c54e040dc9f4c0f0c75ff","schema_version":"1.0","event_id":"sha256:27e9e28c19767df4fbc7ca726a15477693e96e99580c54e040dc9f4c0f0c75ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XAE6UX7W2TZMQTWW6LOQEELHOW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Phong Nguyen-Thuan Do, Phu Gia Hoang, Son Quoc Tran","submitted_at":"2024-03-23T16:26:49Z","abstract_excerpt":"The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has facilitated the evaluation of new NLU models across a wide range of tasks. To establish a standardized set of benchmarks for Vietnamese NLU, we introduce the first Vietnamese Language Understanding Evaluation (VLUE) benchmark. The VLUE benchmark encompasses five datasets covering different NLU tasks, including text classification, span extraction, and natural language understanding. To provide an insightful overview of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15882","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.15882/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:00:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5+v+dYE1ygPsYtN53hY51Jt/KnX0o9g4tsKPXbJhUlJLXx0qnU1vgn6i4JBGrFGxzkKzQeJdjkDkPQbQ0BToBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T04:43:51.662269Z"},"content_sha256":"32eb6d04898645f16616caac128fc8ee0f7f2ba4acb05afcb34a3a454795c8e6","schema_version":"1.0","event_id":"sha256:32eb6d04898645f16616caac128fc8ee0f7f2ba4acb05afcb34a3a454795c8e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/bundle.json","state_url":"https://pith.science/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-12T04:43:51Z","links":{"resolver":"https://pith.science/pith/XAE6UX7W2TZMQTWW6LOQEELHOW","bundle":"https://pith.science/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/bundle.json","state":"https://pith.science/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XAE6UX7W2TZMQTWW6LOQEELHOW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XAE6UX7W2TZMQTWW6LOQEELHOW","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":"d131f45c93784dab79bba633e150658407c852ba1c3e6da2ee8074c0219e5275","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-23T16:26:49Z","title_canon_sha256":"d7fa9ae7a90dcaa5f7ac61b0ead500c8cff0fbfeecf517e61e41bfc1695a74e9"},"schema_version":"1.0","source":{"id":"2403.15882","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15882","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15882v1","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15882","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_12","alias_value":"XAE6UX7W2TZM","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_16","alias_value":"XAE6UX7W2TZMQTWW","created_at":"2026-07-05T08:00:07Z"},{"alias_kind":"pith_short_8","alias_value":"XAE6UX7W","created_at":"2026-07-05T08:00:07Z"}],"graph_snapshots":[{"event_id":"sha256:32eb6d04898645f16616caac128fc8ee0f7f2ba4acb05afcb34a3a454795c8e6","target":"graph","created_at":"2026-07-05T08:00:07Z","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/2403.15882/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has facilitated the evaluation of new NLU models across a wide range of tasks. To establish a standardized set of benchmarks for Vietnamese NLU, we introduce the first Vietnamese Language Understanding Evaluation (VLUE) benchmark. The VLUE benchmark encompasses five datasets covering different NLU tasks, including text classification, span extraction, and natural language understanding. To provide an insightful overview of","authors_text":"Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Phong Nguyen-Thuan Do, Phu Gia Hoang, Son Quoc Tran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-23T16:26:49Z","title":"VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15882","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":"sha256:27e9e28c19767df4fbc7ca726a15477693e96e99580c54e040dc9f4c0f0c75ff","target":"record","created_at":"2026-07-05T08:00:07Z","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":"d131f45c93784dab79bba633e150658407c852ba1c3e6da2ee8074c0219e5275","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-23T16:26:49Z","title_canon_sha256":"d7fa9ae7a90dcaa5f7ac61b0ead500c8cff0fbfeecf517e61e41bfc1695a74e9"},"schema_version":"1.0","source":{"id":"2403.15882","kind":"arxiv","version":1}},"canonical_sha256":"b809ea5ff6d4f2c84ed6f2dd0211677587c22da4a6e9767bf4ef4f4c49777d41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b809ea5ff6d4f2c84ed6f2dd0211677587c22da4a6e9767bf4ef4f4c49777d41","first_computed_at":"2026-07-05T08:00:07.724347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:00:07.724347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8YDxaR4y9+GtVDlVqc4Z7p/uhc+cNQ7tCqgQ1iAXeZpAYVkXbh6ManmKBzJJPTbwybYeT69k3cAJvz3jRz+3Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:00:07.724737Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15882","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27e9e28c19767df4fbc7ca726a15477693e96e99580c54e040dc9f4c0f0c75ff","sha256:32eb6d04898645f16616caac128fc8ee0f7f2ba4acb05afcb34a3a454795c8e6"],"state_sha256":"ad3cd97cf1f21c163d878de3b4a40b7ba5b2f6448b7b0fde4c33f82b8ff9761b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pA/k+RpOK8IkY7oGT+i9QF+7sUS0Xz2eEno9SRRw1PasCqQPnMX0uMeGmTCpFeKuyn4jEfNMbt29Czdcle3cAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T04:43:51.666207Z","bundle_sha256":"4596eb2813517b7ab289281b84ecfbd9046b4da78a00adf3f9773f2e1150b4a7"}}