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Source: paper_references, paper_reference_links, observed 2026-08-02T18:39:41.316604Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2603.07841.
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Source: paper_references, paper_reference_links, observed 2026-08-02T18:39:41.316604Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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75 of 75 outbound references displayed
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Observation 07c09ce4-982b-4bef-a060-fc8b724cc2a4 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data The dawn of natural language to sql: Are we fully ready?
Reference 1
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Observation 1202f5a5-b513-4441-a755-f4b735421548 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
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Observation 5868c4c3-be93-41ea-8a32-1a41a3d0fc21 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data TypeSQL: Knowledge- based type-aware neural text-to-SQL generation,
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Observation 6a3ed6f2-cf9a-4681-9b5a-3ca9455762b1 · outbound
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Observation 603d7bf0-b8c3-4215-82c9-c72515a00750 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Editing-based SQL query generation for cross-domain context-dependent questions,
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Observation a8c5afc0-577b-472f-be76-1583aaddac24 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data To- wards complex text-to-SQL in cross-domain database with intermediate representation,
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Observation 63d33d8a-c4ce-4c8f-b355-408dfb6fa8c0 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers,
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Observation 5483ae2d-d2b0-48f9-a847-fba1c26e7770 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing,
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Observation e67b3f0d-9987-47c1-a053-2d15ffc4a1ed · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SmBoP: Semi-autoregressive bottom-up se- mantic parsing,
Reference 10
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Observation 6c6eecc1-1442-4979-9b45-8fc1f2b605c6 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations,
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Observation 6e64e266-c7ae-488e-a5ad-67ef8b772684 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Gra{pp}a: Grammar-augmented pre-training for table semantic parsing,
Reference 12
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Observation bc6acdb3-3436-4304-b581-5eb6263cbacc · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models,
Reference 13
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Observation fa427ed9-e335-4ba0-8296-596c755c7911 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data DIN-SQL: Decomposed in-context learning of text-to-SQL with self-correction,
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Observation cb156028-2860-48d3-953a-beace5097580 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Text- to-sql empowered by large language models: A benchmark evaluation,
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Observation 33605d56-34c6-43cd-84a7-722623f526fc · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data CHESS: Contextual Harnessing for Efficient SQL Synthesis
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Observation 3be4cde5-3af2-4071-bbdc-8c5abf2fa770 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data How to answer secure and private SQL queries?
Reference 17
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Observation 0c961342-6ffc-43c2-a003-773978bf40c3 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Lampat: Low-rank adaption for multilingual paraphrasing using adversarial training,
Reference 18
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Observation 174c535a-b878-43a1-9f29-bd1510addd95 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data UniBridge: A unified approach to cross- lingual transfer learning for low-resource languages,
Reference 19
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Observation bbb7d609-e10b-4877-9baf-585e8e99cb3b · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,
Reference 20
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Observation c7ddca6f-2705-4779-92d9-6f98f52a4be5 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data CHASE-SQL: Multi-path reasoning and preference optimized candidate selection in text-to-SQL,
Reference 21
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Csc-sql: Corrective self-consistency in text-to- sql via reinforcement learning,
Reference 22
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Observation b747c33f-c27d-494a-bfbe-9a6a1ac39cde · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Alpha- SQL: Zero-shot text-to-SQL using monte carlo tree search,
Reference 23
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Observation 26f9f3c9-47b2-41bd-83fc-a96ab2849cb9 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Grounding natural language to SQL translation with data-based self-explanations,
Reference 24
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Observation 54f25c97-e497-4180-b84a-32e10eda3419 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Machine learning inference pipeline execution using pure SQL based on operator fusion,
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Observation 31c1b549-2555-4703-b109-0040f18527e9 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data AID-SQL: adaptive in-context learning of text-to-sql with difficulty-aware instruction and retrieval-augmented generation,
Reference 26
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Observation 67524ef4-8b66-41d1-84ca-7194472ad2cc · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data AgenticData: An Agentic Data Analytics System for Heterogeneous Data
Reference 27
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Observation e2f9b57f-24c7-4909-a810-69c1b2f139aa · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data RefoRCE: A text-to-SQL agent with self-refinement, format restriction, and column exploration,
Reference 28
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Observation 121774b4-3f79-4479-89a3-f5f26cef49e7 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Omnisql: Synthesizing high-quality text-to-sql data at scale,
Reference 29
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Observation 1352d12a-e360-4bb3-a6eb-aec384ef2a3a · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Multilingual text-to-sql: Benchmarking the limits of language models with collaborative language agents,
Reference 30
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Observation b4a0172f-67e7-4559-8a45-b19469c740c5 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Jacobsson
Reference 31
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Observation defd7372-2655-4e1d-a045-10838ce77d52 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task,
Reference 32
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Observation 56d2c5a2-cff8-4bef-92ef-976d4ddb288a · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Sparc: Cross-domain semantic parsing in context,
Reference 33
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Observation c346af49-7ab6-41ae-a6cd-138a4f66d945 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Cosql: A conversational text- to-sql challenge towards cross-domain natural language interfaces to databases,
Reference 34
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Observation 57507061-049e-4f4e-a349-fb1d2965d2b5 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,
Reference 35
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Observation 21cd6d72-90d3-4283-be8c-57e1e4a4e407 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Spider 2.0: Evaluating language models on real-world enterprise text-to-SQL workflows,
Reference 36
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Observation 86ef3cd9-2a91-4573-bcef-c3b50c424c36 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Estimating large language model capabilities without labeled test data,
Reference 37
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Observation 29e1475a-ee9e-433c-a47d-abcb34e28861 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SelfCheckGPT: Zero-resource black-box hallucination detection for generative large language models,
Reference 38
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Observation 21fe3fb7-7e63-419c-9f5a-faf40d2e45cf · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Detecting hallucinations in large language models using semantic entropy,
Reference 39
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Observation 88eaec25-07a0-4c4f-bd39-50cc85d7f8f2 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Autoeval done right: Using synthetic data for model evaluation,
Reference 40
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Observation 7ed38252-97df-4c6e-88e4-fc3d69d03288 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Prediction-powered inference,
Reference 41
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Observation eedf78a3-1d9a-46ff-927c-1f5617f21569 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Leveraging unlabeled data to predict out-of-distribution performance,
Reference 42
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Observation 51a253a6-f856-4dd0-9500-d3c3d80af3fc · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Predicting with confidence on unseen distributions,
Reference 43
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Observation c4c13444-028a-4b66-ac6d-9dd182b92cf0 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Nl2sql-bugs: A benchmark for detecting semantic errors in nl2sql translation,
Reference 44
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Observation 3cc1b5db-bc06-4510-98af-a94614e765a3 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Judging llm-as-a-judge with mt-bench and chatbot arena,
Reference 45
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Observation d2514b1a-2d95-4555-bbb1-334724510e0d · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data TabLib: A Dataset of 627M Tables with Context
Reference 46
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Observation 1ae63f45-aa34-40b3-8499-48e3e4cc0dff · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data KaggleDBQA: Realistic evaluation of text-to-SQL parsers,
Reference 47
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Observation f368c44a-56e0-4681-af13-233cbc86859a · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SQLForge: Synthesizing reliable and diverse data to enhance text-to-SQL reasoning in LLMs,
Reference 48
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Observation 5e44003d-2fc6-4ada-80da-af2393913983 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Parsql: Enhancing text-to-sql through sql parsing and reasoning,
Reference 49
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Observation e3d32f0a-1096-46af-bd20-229b998d3fb6 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Llm-based data synthesis and distillation for high-quality text-to-sql training,
Reference 50
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Observation edb8f102-cb51-4a0e-a707-fdf10814e889 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data On efficient multilevel clustering via wasserstein distances,
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Observation a40b8eae-a486-4fa1-87e9-68715e6489b5 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Probabilistic multilevel clustering via composite transportation distance
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Observation ca32dfa6-9f6c-4137-a3a7-19a6a5003156 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Multilevel clustering via Wasserstein means,
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Observation 8b97b553-fb54-4c32-99f7-df8ff924d86c · outbound
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Sciencebenchmark: A complex real-world bench- mark for evaluating natural language to sql systems,
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Observation 2f4076ad-b182-4b36-9aec-fabba04ff503 · outbound
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Gnnevaluator: Evaluating gnn performance on unseen graphs without labels,
Reference 58
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data StarCoder 2 and The Stack v2: The Next Generation
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Code Llama: Open Foundation Models for Code
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Athena: An ontology-driven system for natural language querying over relational data stores,
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Don’t judge a language model by its last layer: Contrastive learning with layer-wise attention pooling,
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An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SimCSE: Simple contrastive learning of sentence embeddings,
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