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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 19 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 2026-08-18T06:34:40.430872+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:d8ea954704ddb62792ea019ab812c0db0075cd94d680f0ee950abdfeaaf3860a

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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unresolved
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=sha256:4bff8e39276af96a6f8476477d62a6ea29f66455e3b3f656cc7a31a8651e5eeb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.933590Z digest=sha256:bba3b9e6c3ae7024d414ec2d556a95cbbb64dbc9098ec0cbd46ab618cb317a32

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.938883Z digest=sha256:0e6d57d274a08aa823e21c964d6bcefbae198a1529a27d5da72c46e2ab96728b

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.944489Z digest=sha256:3e932bb29e9eae00cd9d4b7217e0cdd0fa9ee2c4ffc57017545f023d31e7e373

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.950826Z digest=sha256:80a6c3fc7b8b4a5ab19264cac49932b415f5c4ab8212cf366397f69c2352dd5d

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=sha256:07c2c0fc3839fce820bbaef85552530feec9c5a6a259ae1b1a72a1e9717af8d0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.963020Z digest=sha256:931dec8599e9b78381a7e3f22ce5dfadb291810af9141ba61fcdfe068ff3667b

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.969165Z digest=sha256:7d903c8aa933439bae5a1f35064df37e8168189accb3bfcbb149efb3135c3f50

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=sha256:20e059c18d977f9786db54eb04f480d4d60f75be6becc78523a78754db7f8f91

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.981375Z digest=sha256:9de8253dfe8643ed9c003a1e94b7c3d47c25e482575b2485243513df8ca3e5e4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:26.987696Z digest=sha256:7f1f674cf4a2a52f653f7ca9982586c1d38a8d25c7e8aedadfbe99a84bd4eda7

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:f912f09cd80dd5c46a5b681eae1e84dd58f144ac1e46bd64b1e18bf1d95817a5

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=sha256:516334ce20672e76d0e3a74e2ef3a7ed55fd91e3d826e7bfc6fea447cfbc310e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.006564Z digest=sha256:014d207c72a115533f6eeba7b96726a0b34d4e076afbc5c8920c7481216a8636

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.013621Z digest=sha256:38c8749f9a48550402a216857246acdca168d1bd7ab998cd54e5228e36feca98

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=sha256:44a2bc86b12d9f67c6653dafafed25649ee8e5c19d9d851b7be2c9d530130dc2

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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no resolver link, observed 2026-08-07T10:46:27.027279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.027279Z digest=sha256:d039964d7d708ad657a9e03ba08a3fca7c653e676d9017cf58da1195243a9b73

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.035199Z digest=sha256:0c6bc38d6b697add297efbbc5b969fc1eed0a3aec5a1cd86851cadb7adbf4cb3

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.040636Z digest=sha256:539ee0ffe25c83dd24c954fdb02b9688ab10e2153e209184a8df148176707ef7

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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no resolver link, observed 2026-08-07T10:46:27.046955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.046955Z digest=sha256:e320a1888043b62987f6fdc3e53afca7c447e1c0207f423df292c7e715fa8137

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.051979Z digest=sha256:1d9072c9d804e24ef16fcdce6386dde41e902a181d14fc1b6efcd213819fec3b

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=sha256:162e86c794673d69ae6aed82bbd8923b4599dde2e1476d5f487271b187a52bff

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:f3e79f44c81cb9676265324b8120cfd0555d9fd50256c1caa24683e44b328491

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=sha256:395eb559acd9535d63377b90bcd3d66796fd5efbb6794b3449782e2926825b48

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.073602Z digest=sha256:732b26c0b7ac9897194545133ce1d4f158d199fad0ca95d2773530eaf7cced0f

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=sha256:9ff4a63eeda37ac250d2930d039dfa473eb8a1be94d23a80001d6fc9ba8a23ea

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=sha256:495c3c930db40149b362e36feccdcc0ee7d9226f3345185072fe451fe392d4ca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.090215Z digest=sha256:219885e116591a7458189f5027ffb197af71fb95983098b5eb0dc76649f6cb61

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=sha256:15dd41861d6d513e966d7a052568e896233006116af384baea92dea8fff09e9b

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

Resolution
unresolved
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:de6fc014dfee51eb93f432f59682cca5bf36cb1c5853799806b387ec46b6a549

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:a6f88d9523021b4aab34fb0f8a7d4ce409a99d1484a07a9dc5786db90beecae3

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=sha256:7223bbdf765f2ad432e5831a7fbd0cab3529a6d3f9a78de994b2bd45e38a2d13

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:fbc308705bd479424bbdff133e95f2c98b2d5348ec008d0b8147e31cea976c13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.131943Z digest=sha256:bf4687a259feb14cb50144f4b67fd44b041c71c0be06f34ff6dbd49d8c454afa

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=sha256:0633f977296f0a892d361cec992ad5c811a3115c55dcff018b7edb6f54d18e2f

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=sha256:0e172ffcce704e54df13deef0ee1de679cbfdf3be58c172fdec388f6e427ee9a

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:c33ebbc1a6cbdabded903814ac93855f79a22bfe0f3c3f92c57ea29575f99f37

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=sha256:065037fa23c7242c1e4c880d33de17467378c3d7776b05c98b8c93c38b950114

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.158721Z digest=sha256:1f4e0f479065f7022166d99322e686bc7d27c7bab6d5307c0b055fe781f7e9b1

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:f22e1940f0f8003b99cc0224fe3fa5fa1e939b3afd5f5030d1eb4d539510ec7d

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=sha256:8588e4d68d16194c01b0375fa528f47b7245f168bd46498bc27c2939ddbe47cb

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:ed16aae6da85c266ed9cb2a3b1d872c3f5922048a4a9e3c02d117b560bf47877

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=sha256:2d5472704584ed61e2ba08cf7edab7d5d8dcc480143fec2945e32f79175af261

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.185579Z digest=sha256:1a674ff32a6d37acb20d214bbeebbcf8c9f42675d987a96a8498680c136be2b8

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:eab808557db519a0744a0a27891a392377e398d8272eeb0997c342ee37daa518

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.196044Z digest=sha256:3b2cedbcd9ea6e69e21f425a36540862dca6734a9cf06b90d30a6385cb96df27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.201010Z digest=sha256:71e3559a84db984857b51f97157a34d24affc4a502e3a796dc81cbd8da435810

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=sha256:0772150149ea659a757964ac01b0df964c804037d0973fc03a858b550f6d14d1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.211069Z digest=sha256:f1ba71e6f1da746a1ce841a710429bca2e305d9c544dc262849c03de2a773faa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.222167Z digest=sha256:6b4c4f79edb8982ee91f4fd1ad019966cdd4720a31ba53d086e64d56c22c14cc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.227346Z digest=sha256:7f79e3a61c7d069cf016bb6523dc10b10a6b879e3e48a6c87d5a1b9499078cff

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.232385Z digest=sha256:8745b1f1143afe39dd35d470ae238a70962bf9359955a94d91aef8fb2e106b72

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.237808Z digest=sha256:fe03cfa641bffe700d3f21dda87e89fbd47f3165a3e37ff185f12cc6ab666441

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.243416Z digest=sha256:dded934976635b678731f0ec0fce62546e5e9b0bc92b821d167d3d35e75b495b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.249384Z digest=sha256:671eb5ed5b8b85f7d54b8a2192d3066f02432d21a1089c4f703b8dd83e9adebc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.254107Z digest=sha256:37e02dacd727bf4bc067e51f2747e4a6d2f7ff85ebb298e508e6ebc5a0d9b67f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.258904Z digest=sha256:31c238884e572c210489167147251e5cba33fb1735e0be6fd70bdf621dc87bec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.263653Z digest=sha256:574bcdcc72c0209f706907472d0f03a418b7e3e8fcb731e2a2179de7f773a67a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.271439Z digest=sha256:b086abeba93b665e8779f7229b5673042a85edbf80fd3f00929ad126b7813b02

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.276461Z digest=sha256:f30fa27544822f7117b2548129ff5cefce1e60b8513a6e614020cae28983df4f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.281419Z digest=sha256:85fe2c965367e290e323d3d2ce603109ea48f85e62bca5b1815ebe846b34ed4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.288674Z digest=sha256:37629bb98cce6be82f6fe2fb3e77a89f075f7205eb3afa5a7dbac181e3102526

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.294842Z digest=sha256:62e2efbe3b8aa1ba829b6509470c92e6ea538f2fb8a0690568f105b30b5ae516

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:46:27.300535Z digest=sha256:5a1c949d5440ab86121b1a69056d306192fca57739e2e658411b293400e9c07d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:9f8acd1e8681335a898eb34a2d028f2ee6aa80df49f7f9f978a8b80dc308660d