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Paper Citation Record · LEDGER

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL

As of 7 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2506.04494.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.04494 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:27.300535Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:32:23.352584Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T22:34:24.196232Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact6
  • verified fuzzy16
  • unresolved40
  • parse uncertain2
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf9b9052-c086-48b7-81b2-c3a148976749 · outbound

This paper cites Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Self-rag: Learn- ing to retrieve, generate, and critique through self-reflection

Reference 1

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no resolver link, observed 2026-08-07T10:46:26.921266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.921266Z digest=sha256:6743cc6caf27705b158644b97fddd4fe4ed41a922e55ab30e0a63e9082d15b4e

Observation 52d7f841-9bfe-4727-96c9-e36d615ef55c · outbound

This paper cites MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL

Reference 2

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no resolver link, observed 2026-08-07T10:46:26.927044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.927044Z digest=sha256:73389bf9d70b37e99bd7ada689698b6042b03e20019a56f5501c83633661cd2b

Observation 35ac2035-9bd2-4bdb-9c93-87dda5e0fc49 · outbound

This paper cites Amazon q generative sql.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Amazon q generative sql

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.611718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.933590Z digest=sha256:81aa615ceef2c25b70f372373c90a964d110cc17fecb2ca93e1d34d4aaa994d8

Observation 218a5326-a34c-400a-ab59-64f88246351d · outbound

This paper cites Bird leaderboard.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Bird leaderboard

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.595542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.938883Z digest=sha256:4e36751f6e09f2b2f377cf57c30d43beb68392bfdefa5eedd5c5029df64c3951

Observation a6fd0408-3c15-4c9c-b828-2d24ddb4cb23 · outbound

This paper cites Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs

Reference 5

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local_arxiv, observed 2026-08-07T10:46:28.066545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.944489Z digest=sha256:2aae93bdad93394dbea84496798c7ac9f5d2739d026c94b94d567c5ce2164203

Observation 384b0ecc-40a7-49d8-bab9-107ad3624965 · outbound

This paper cites Error Detection for Text-to-SQL Semantic Parsing.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Error Detection for Text-to-SQL Semantic Parsing

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:28.043978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.950826Z digest=sha256:d81852384dc7dab9b58036e8b4205d6e177d05051dbe94975cab67ecdf65ad63

Observation 3a9f8444-2137-4958-bb5f-2e4793562bd9 · outbound

This paper cites Teaching Large Language Models to Self-Debug.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Teaching Large Language Models to Self-Debug

Reference 7

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no resolver link, observed 2026-08-07T10:46:26.957216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.957216Z digest=sha256:4ae488835e2dbbce47bd9fcc01153f5f6c5760b4cb4844502ca3534fccd4a007

Observation d668006a-df14-45d9-a1ae-64bffeb63845 · outbound

This paper cites Text-to-SQL Error Correction with Language Models of Code.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Text-to-SQL Error Correction with Language Models of Code

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:28.000117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.963020Z digest=sha256:b78ace4b283cc353042bed044917a807da4ba1cd71cd256d22527b8b38a3c0f7

Observation 4304d3a8-f3a0-4826-9944-533eef6ab4a6 · outbound

This paper cites Databricks assistant.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Databricks assistant

Reference 9

Resolution
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raw_fallback, observed 2026-08-07T10:46:28.578233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.969165Z digest=sha256:621c9f419fb6870a2e76fdf6fcbc43acfc1d335af88500d78fa249dbb25e3d0a

Observation 74cbf35a-3bbb-4202-850d-8c6a7c42f634 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

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no resolver link, observed 2026-08-07T10:46:26.975364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.975364Z digest=sha256:d86ed48bdbe2fab8994832c657c42412e13e97cc16bf8abe9f75ecb99b3a168e

Observation 9a307059-fe51-4b14-b2bc-0049407cade1 · outbound

This paper cites Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, and Carlo Curino.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, and Carlo Curino

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.560700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.981375Z digest=sha256:a3e158a68e67f220e25f14532bcd536fadc7ff6151ff5a5e4696d72555b086f8

Observation 935bed3d-66d8-47b3-9a67-53ebe15f0ec1 · outbound

This paper cites Fast and three-rious: Speeding up weak supervision with triplet methods.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Fast and three-rious: Speeding up weak supervision with triplet methods

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.544423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:26.987696Z digest=sha256:e09a0d2a27935b6fac05cf31fe263f2c19d31a24082fc0cfcf5a6beb5ccc71f8

Observation 3bad6c3a-9cab-48b9-a751-c92ca4fea9f8 · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.993682Z digest=sha256:d0044e1942f4e4fb4fc9705e184930b6736312b3afb60a1528d12009efe01021

Observation 4eb2f6b3-d338-4eea-9ab4-ee313495460f · outbound

This paper cites A survey of confidence estimation and calibration in large language models.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL A survey of confidence estimation and calibration in large language models

Reference 14

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no resolver link, observed 2026-08-07T10:46:26.999928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:26.999928Z digest=sha256:3e08a25493c95ab66065132f2cbd95efa4db82811fd58f33a8dee331a361dfa7

Observation f8ce8cc4-2de1-4f15-a3e5-578e6b76b4b8 · outbound

This paper cites Data ambiguity strikes back: How documentation improves gpt’s text-to-sql, 2023.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Data ambiguity strikes back: How documentation improves gpt’s text-to-sql, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.526713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.006564Z digest=sha256:ee625e4112fec927d770fc0c35957c1234a3e9246c06b0adf9cc2c3da1a98a32

Observation 9ced4dc1-74ac-4e72-bc85-b65cf151cf02 · outbound

This paper cites Minimum spanning trees.Involve, a Journal of Mathematics, 2(4):439–450, 2009.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Minimum spanning trees.Involve, a Journal of Mathematics, 2(4):439–450, 2009

Reference 16

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raw_fallback, observed 2026-08-07T10:46:28.508720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.013621Z digest=sha256:165b06c4e09c91423e64917dc8d3610c851e02dcc2de89b4e9646a363e4c6706

Observation fa8dde20-cf74-4332-b85e-307ba217c196 · outbound

This paper cites Language Models (Mostly) Know What They Know.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Language Models (Mostly) Know What They Know

Reference 17

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no resolver link, observed 2026-08-07T10:46:27.020264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.020264Z digest=sha256:6854b0d4be6a051e01ff79b03ac7d576fd21ad1f689170627eb9713340576850

Observation 4aecb7e3-aa23-415a-ab5d-2372269fb3f8 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:46:27.027279Z digest=sha256:73d22bdedb32bcdfcc97b379d59d484df30372d88f330ffe840fa139662de8da

Observation 92167749-0433-43e0-9ab2-060df4a0f5dc · outbound

This paper cites On the shortest spanning subtree of a graph and the traveling salesman problem.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL On the shortest spanning subtree of a graph and the traveling salesman problem

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.487703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.035199Z digest=sha256:8a92727c54eddad881bbe8dad49906cac5dc4ca1d71de84652221e413e591905

Observation eb381734-1463-43e7-81a1-d5185d9499e6 · outbound

This paper cites MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.040636Z digest=sha256:3825efa52f90e9f5a0693d3f7f04f7b67b843f11bff226588b476b9bd7b1eda2

Observation 0d1751d2-5623-44cc-b04d-3ac0ab6a09a6 · outbound

This paper cites Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.046955Z digest=sha256:4dc13d8cc875ef6ffdb35382b202c958c902ea813869a3d809b119b8e97cfea0

Observation a591dd0f-ca3c-49e5-aee4-b7f094e562e0 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Lost in the Middle: How Language Models Use Long Contexts

Reference 22

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no resolver link, observed 2026-08-07T10:46:27.051979Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.051979Z digest=sha256:5687b1679d759dd85aafeb5361929ebb8e75cfd5cc1017353c48ff25facac2aa

Observation a57fa265-269b-4448-b93d-6a6aa721fd2c · outbound

This paper cites Sql-r1: Training natural language to sql reasoning model by reinforcement learning, 2025.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Sql-r1: Training natural language to sql reasoning model by reinforcement learning, 2025

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.057579Z digest=sha256:b86b00b47be9c928610ee647201c4a7a3a1fe2509e77027d8b8bd35143d92e58

Observation 74ce0d37-0792-47bd-b918-ce896685075e · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 24

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no resolver link, observed 2026-08-07T10:46:27.062941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.062941Z digest=sha256:d0bb3ebac8d7b3c7e513bb76c3de5375bc00be7dddbbd4f91eb6eaa2bb53c7e2

Observation c18ddc83-7fef-4a7d-9d4b-5aff77ac51b1 · outbound

This paper cites The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 25

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no resolver link, observed 2026-08-07T10:46:27.068027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.068027Z digest=sha256:56d40dbafa77c92dd909ccebf29e3ab3a19702ed41033f6970502fb6df3332d0

Observation 48136463-b890-4b3e-8f17-0302464c1c89 · outbound

This paper cites The making of tpc-ds.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL The making of tpc-ds

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.470808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.073602Z digest=sha256:adf20691684ea0390ddf4d00bc2a16913afd5da234e33c9489dee31e142020f9

Observation aa0623f9-8c14-4145-b51f-12e4a0a176ba · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL LLM Evaluators Recognize and Favor Their Own Generations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.078452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.078452Z digest=sha256:6703090e9f975222b9686dacd616a0cac1bc3da9f7d8157d6a78a5274adde0d9

Observation d23efc55-d6d9-4c3d-b404-ce8bea3de92c · outbound

This paper cites Semantic Operators: A Declarative Model for Rich, AI-based Data Processing.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 28

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no resolver link, observed 2026-08-07T10:46:27.083779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.083779Z digest=sha256:86bfc17490618f339b2028eef2bcaa66281182310d40f59871b0ce00bce39f9f

Observation fe2f3f9a-c4a0-4d29-bbe2-c91006332319 · outbound

This paper cites DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction, April 2023.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction, April 2023

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.454193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.090215Z digest=sha256:cabb74cf99254871e1fc61a5dbe5615bd62620ea8f4fc592a433fb35e4c27652

Observation d523dafb-002d-48ef-9575-0e1e220e81a1 · outbound

This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 31

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no resolver link, observed 2026-08-07T10:46:27.101410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.101410Z digest=sha256:f069ff7176b615261287284b720965192552cd31e9a996f64f9654cc68d99294

Observation 2ac45646-ae16-433d-b9c8-94786534fe1a · outbound

This paper cites Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 32

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no resolver link, observed 2026-08-07T10:46:27.107363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.107363Z digest=sha256:106a0852c95bf601e51ae36547d99d7a2b587cc2cffcb7098bb911bcec3d11d6

Observation 20b7641e-bd1d-404c-926d-a8576d061f2d · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 33

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no resolver link, observed 2026-08-07T10:46:27.113159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.113159Z digest=sha256:421f522e9b3c8275437027ec88f2b575f691650e2eec0463619f2bee138f7944

Observation ee20a616-5e9f-4c9a-9b48-ccd08a6e630a · outbound

This paper cites Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré

Reference 34

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no resolver link, observed 2026-08-07T10:46:27.118961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.118961Z digest=sha256:35917ea6eb73152418fce1cea44dcef032456c9dadc321c3c0829293061de015

Observation 224bd32a-6eb7-47dc-8b84-a7128bf8eea9 · outbound

This paper cites Retrieval Augmentation Reduces Hallucination in Conversation.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Retrieval Augmentation Reduces Hallucination in Conversation

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.126124Z digest=sha256:8ca9cba56888552713ce9e29064cb6a8569c7cbec378c8154abf9dbe605b207b

Observation 7cac9389-ffd2-40d2-aac6-6f80586fdd7c · outbound

This paper cites Snowflake copilot.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Snowflake copilot

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.435247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.131943Z digest=sha256:ff344ef517a3f1183c2f5acf059e5289715bb5196058d78f2e62e8d1556302db

Observation 0ac83f00-e400-42df-ac6d-d2ded0746aee · outbound

This paper cites Calibration and Correctness of Language Models for Code.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Calibration and Correctness of Language Models for Code

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.137079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.137079Z digest=sha256:be24cbce954380715d00e1953385fd52cb2868d1ed4961fd2f3604af5758ed09

Observation 32d41d46-af84-45e2-9bc2-fd5fb8a58b73 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.142586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.142586Z digest=sha256:800212852cf2bcc37c33fa8a4acce255d78059e238321ced62b7e83851f06263

Observation 84186be0-241e-4fa3-a6dd-d7e6d3d60455 · outbound

This paper cites CHESS: Contextual Harnessing for Efficient SQL Synthesis.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.147676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.147676Z digest=sha256:f691dbb591d5571c44a88d685a65b1a227a925c6012c3a1d127229f55ecf6469

Observation 30a7e555-abf9-49aa-ba4c-bc584eb09656 · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.153092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.153092Z digest=sha256:62783af9fa4f63575f267b25e0d5e1d257b3f57b780c71ba2f085638c92cb3d8

Observation d151fbe2-d92a-4b2a-b02d-8fe8277daa30 · outbound

This paper cites Why tpc is not enough: An analysis of the amazon redshift fleet.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Why tpc is not enough: An analysis of the amazon redshift fleet

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.415855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.158721Z digest=sha256:37cf7d0e39aff49f80b142ed6b329ca21e0ad8745e16373156c3f6b98311f282

Observation 9c0402c2-252b-4a16-9e9e-6a7184d29602 · outbound

This paper cites Know what I don’t know: Handling ambiguous and unknown questions for text-to-SQL.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Know what I don’t know: Handling ambiguous and unknown questions for text-to-SQL

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.164151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.164151Z digest=sha256:cc40ce2964f378157f50a86189050b845b7a9826f833f4c18508c2c46fb13069

Observation 77329692-8f30-444e-83ca-976a2932ac12 · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.169167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.169167Z digest=sha256:4e34d47bc560843f05ceb79acf30b49b24a9d8ccc389935ca7f242be1d1603d5

Observation 5f54c073-ce8e-480e-980d-04227e6a2fdf · outbound

This paper cites A survey on large language model based autonomous agents.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL A survey on large language model based autonomous agents

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.175053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.175053Z digest=sha256:8d834e3660eaf3613b7daeb8c647c5d7aafc16330bf9f3f57bdf37e202ee2e89

Observation 506c2bc4-315d-4658-8872-0ee460d82546 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Chain-of-thought prompting elicits reasoning in large language models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.180626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.180626Z digest=sha256:1acf08ed29384d8b649366040bb3366044cfb9bcd98372c51f15f4b6ac1e1c62

Observation 44d6470d-98c6-4352-885e-fceb1a78b845 · outbound

This paper cites Divide-or-Conquer? Which Part Should You Distill Your LLM?.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Divide-or-Conquer? Which Part Should You Distill Your LLM?

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:27.437933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.185579Z digest=sha256:221657538ef3c7cfb3073ef15fe008b125b3dc94c1b00b2abae890c39508007b

Observation baa738c6-405a-4894-b271-6365543fb571 · outbound

This paper cites Pride and prejudice: LLM amplifies self-bias in self-refinement.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Pride and prejudice: LLM amplifies self-bias in self-refinement

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.190779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.190779Z digest=sha256:a309ae2f50fb1d29e2505fd807fa98b9ef030ef8aeac504c0985cec9cfc83dd3

Observation b3a82501-178a-4ec8-9861-8178616cffa5 · outbound

This paper cites Model-based interactive semantic parsing: A unified formulation and a text-to-sql case study.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Model-based interactive semantic parsing: A unified formulation and a text-to-sql case study

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.375349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.196044Z digest=sha256:524f4b29a398d12989dadc9aa1699fd7ef5e04271f23555ef1717888e1dde506

Observation c53d01e3-ca04-47d3-a953-4b1b23cbe01d · outbound

This paper cites An Imitation Game for Learning Semantic Parsers from User Interaction.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL An Imitation Game for Learning Semantic Parsers from User Interaction

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:27.413778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.201010Z digest=sha256:cad4b198472c96d88b4389ae47ba3033be4bfbf00fed4417b0557b244d5aecef

Observation 15cf62d9-aa58-4880-a0c2-9a897a5fc235 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.206283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.206283Z digest=sha256:596e7be424750e63a887995cca169b412149af3cc7f782a9fb8c15a9621915f2

Observation 1f56d9a2-198a-411b-a4a5-8250817c8da5 · outbound

This paper cites Photon: A Robust Cross-Domain Text-to-SQL System.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Photon: A Robust Cross-Domain Text-to-SQL System

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:27.385770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.211069Z digest=sha256:6556c7cb9d195bb2e7f29cd8da6f6e0624ef8656d99a4485d19bab84645c9984

Observation a64b1e0a-1aa9-485d-8039-92c8d597c4e7 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.327934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.222167Z digest=sha256:7c0031da499c461b83ce4c81849fca830a1c8be0a8c92d5619f940a4b37c5515

Observation 6204e701-7241-44de-8085-ceacdc71b0d1 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.309890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.227346Z digest=sha256:ca98e1cea1a2cec39b7e47529c204cd4198dcbb8a8b56a57f2fc1afa79ed20f3

Observation 4831053b-231f-4efb-b517-2f36ac1290fe · outbound

This paper cites violates_evidence.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL violates_evidence

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.290161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.232385Z digest=sha256:c4c9b1f9e515a9c6af07b37910016b2215e68337dfbd65846d51354fc7d1ddea

Observation 3e5d08a9-43f3-475c-9578-854f260649f1 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.273700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.237808Z digest=sha256:f0b77c280f16d55b7fa6a71fe001950ff6e9c4c359236d9f2a85a6d6079ee0e4

Observation 34e2028e-d273-435d-be08-8db407319212 · outbound

This paper cites yes" or.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL yes" or

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.257104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.243416Z digest=sha256:f34d706257615c6ca063aba45972358f2072a4e70f7854f9cd5f720de350b721

Observation 1ef30899-e342-498e-8731-dc874e80802c · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 58

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T10:46:28.346453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.249384Z digest=sha256:d393439ef38dfcd078509b0fa36ae97d17ee5626c17dd319e7c7c75aa8001e6a

Observation 47c7378a-cab4-4cfa-8303-b37288900387 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.240051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.254107Z digest=sha256:2138520bbdc758f42743a61627780aee880542e41a169c9add49e265463a7aca

Observation c6b9a009-bfbe-45f2-9089-c4c330c0d4ba · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.221402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.258904Z digest=sha256:5eb869b76b651c99c504963a2c17e265b8ff2641f7b70f33e168b20075b24ab4

Observation fe710fd6-187b-4270-825f-5d17016881c4 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 61

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T10:46:28.201693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.263653Z digest=sha256:56d886cd82c65fd1a50088a371685678519d724e2a692eb1e4fa445239f61905

Observation 3b34d4f1-78a1-4a4e-ab2b-c1510f705b64 · outbound

This paper cites You can choose not to modify the SQL if it is correct.,→.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL You can choose not to modify the SQL if it is correct.,→

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:28.183508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.271439Z digest=sha256:a3a1d1a41ba448ea1f68a6d63ee2e3e992a32189f0d104339fdb613fc7b8590d

Observation 0e39ce37-7225-412f-8c1a-30840dc6d3a0 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.165944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.276461Z digest=sha256:b33b2c36ffa6c850e2f446cc6cb92f8334ede295121b090cb2a352af16a4ec55

Observation a5ea060f-99f3-4645-9425-e33e80e4afa1 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.149005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.281419Z digest=sha256:28c32ee3178677bf5cf9304e8bd2ee0e1e829f21898dc9bb23fcc96adbd35f10

Observation c4d73e4a-913d-4f80-9799-37a5dd767189 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.132715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.288674Z digest=sha256:690d3b15fdfb211cb398c52ad62d9bffea0c46a4282228c9ab30630a60adb956

Observation 0e611279-0015-4464-ad87-fc02c6c7eea9 · outbound

This paper cites an unresolved cited work.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:28.116132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.294842Z digest=sha256:385cec58007050ad8cec4ac88ec5f508db94dd35432c486af6be49d2c1fe78f0

Observation ac0ec952-bd4f-4c1c-8996-9c822bf418a9 · outbound

This paper cites guardrail signal.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL guardrail signal

Reference 67

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:46:28.099501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:27.300535Z digest=sha256:4462788c9fc1b9e601e7a8a243408d64c130540a2c27407dab833d27c461eb47

Pith citing papers

Observation d8f6fe63-f095-415d-b0c2-a52849f1eb3a · inbound

Access Paths for Efficient Ordering with Large Language Models cites this paper.

Access Paths for Efficient Ordering with Large Language Models SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:24.198440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:bf11f3e97438a5632adccee23dff3eec1b7c841baa3a4115e7f8f7dfca0af631