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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 10 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 2026-08-09T06:31:02.800959+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=sha256:4fec536a7ce4bf0b0e0c843394cecef6dd8d40b892f4bc544a02fa8892393ea6

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:e2857476cdc1b59a642d1a37894ef68a6b35ee49dc82b3dc5b49dc6c46dc04d6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.933590Z digest=sha256:e8e2e4a1776348125831429e73dcf5a12111496a591e8436c74e553f48e7c7be

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.938883Z digest=sha256:fefad5b4b8cdd8e22da9fb97fceca876cfc596836dc2f5ad45444051e2a809bd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.944489Z digest=sha256:336e93b441533015d2462e19774c88026d98d9c0ced1b72b6002cf82a9eebd55

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.950826Z digest=sha256:2a331cf0b7f3662c31715172b6ff484dec75344810b720dc59a61b31d2a4caea

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=sha256:29f63de305f99d720f0b5651f385bde45c2427b9a9e3dd0e51b21bae8401313a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.963020Z digest=sha256:9dd28ec635fc632132d7322148b4ce81e829e53f73f23e61a1bd2259c93fb861

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.969165Z digest=sha256:df70a2518bb1d7d94390003b4fe11c3cf3b02b60da914647ab76fd2b56f14961

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=sha256:9a9848cad060a2de32521ec44435fce0a3c1dc9b57c94b5bd90a9a701e1cf1b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.981375Z digest=sha256:a2d56dc6bd73972517f7a9cb1b3d6d46df08385d5db96ac46e51744f33fcb5cf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:26.987696Z digest=sha256:fe9cabb167b425f29cc075f7ad9b04e5d2b3c36d6f635f533e85e533e253fd13

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=sha256:70dec69473e40629d78e0dc3904fe6ba70804cecfdb9f8dd1f3b37fb532ae1a0

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=sha256:8a9554f43e10209d0b08ea6b798665e9b1b4a1b420cc8f12e35930b0e5019888

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.006564Z digest=sha256:7681b219965ab4a6e61ba2eedd8502a86ee18758955733d27722f82e5486cbeb

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.013621Z digest=sha256:6bb9ca1f335f1ba4e4a637523ebcfcb86c63b32564abf6db78a41b860555bc1a

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:c573b3f86e650e9a85cd2da4c16e51cc7875e0a4c90a40e0cc8a044978c58c18

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:e631c7086d80d54d64aeb3da1e4eba469c4db77b75a5839ceab873ba3f8dff38

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.035199Z digest=sha256:441ad71b40e9dee7ea2a8d24620395cdb68f12b94911cc04ebc4e02b9c274c45

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:b2beacf9093ce063dcdcd0c4557f41e356a5dc909ae339a85dc6fb970c0a7497

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=sha256:3a1783ce78f7f8c256a7649bd059bc47f79a2e8cfbc49b50f2e4f167a16b7364

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.051979Z digest=sha256:8e1a0e564458376e086ae49674fd60c204369dfab6a0517b1fbf14aae84177be

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=sha256:0d5f860e2fc2951be22b4784a9815d2fe9294656b2e6c0a5497941a4662a75a8

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=sha256:3f0b9fa516808e61153df5d6aa6e9f18f065b7422112214d115e703482bfc63c

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=sha256:22de0cb152788f39854dfcee3642512d0b2126ccfe32aeee52177c93d69f24b3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.073602Z digest=sha256:3ecbdaaf6a4059775b9502a7147af09074fc74e917b07e5dc5218f2255e1c368

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

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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:efc6c1c41a35defdba40902349acbee1e9c533209768f20488268b402dc927b6

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=sha256:23fff37428f85f7379f7b2e54b8c0f76dfec6de68d2535537d2ff1cd1244870c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.090215Z digest=sha256:8a8753958e1829f59b5020acef3e1a595505819d9e001c44be4574819a24cd36

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

Resolution
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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:f50df69478434ac47af0d7abce2dd8badcbb5a832107984c059e68b080f2e1fb

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
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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=sha256:80751109bf00bbe2701343eca1de0e0c673ddc58057e72306b945cad65209ac0

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:a7727542cfa09d2c0f498d9b7783d1020002cbbe7fa97807396935977f248b6b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.118961Z digest=sha256:48dca55d907441c7a634875a306a8e80cf7646530cd9991734ef49d5ba300b47

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=sha256:57d5a06439b4514330522043227fd80629fb6f792a96a8d4626269a607a027c4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.131943Z digest=sha256:e9cebfe3a98922aacfc95b27770272ea8b570eeb2e9f5eea831504aa61b09ad2

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=sha256:604eb933b907e8b50bcf94d886c4e4d6ed4e70c7ba44c7c71dc09f7a75196895

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:c499622aa64b884fe287fb2abf03b302bf42743379933019197701cc2583219b

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:ddba94a413e220d5398639f1b84edd53d75969ad589cdf551854b01c2ea684e7

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:d3634b02afae28db68776fb2b8b47c2745eae9233f7fc02b21da8754b6606415

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.158721Z digest=sha256:17add8be17ead77f6d419413ef792cffb5335d921b3615709e7dba561ac4f9eb

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=sha256:5a5f33f9f88cd339effb46e1bc481b5f220549e5eedee5c0dc842b88c4e95fef

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=sha256:2b0daa7102c08a143a7f55b852f4a481293d10e9bf4a6c1a89dcf4e8dc078d85

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=sha256:2741c7df98d4cc13cbc4f4393e32cda2147bbec4a95456883c57358ce2ee781a

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:a9e9a00af091d42ad6633b1218b748a1c9cf9d859875d2023b1c11736ef7c915

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.185579Z digest=sha256:4ec0e0146bccbeecb1eff3d428888f43f188ceb67a5efb0adfb3957504138243

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=sha256:9850ec35c93c15131395b7311fce5644255e2030f6949cce7e2197d203e2d373

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.196044Z digest=sha256:1c276046ff58a35b03a5732b4911e8e9f7052d99bdee16f32e2a3011529c4746

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.201010Z digest=sha256:f38128ed2896f38c252ec10f035001a9867816ee35d1a431c0670a68edea76c8

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:fd894bda9f0cd06be221b4ccab38b6c73a8ad7527963c84e9598b906961b82f5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.211069Z digest=sha256:f7b853fe8e03a3524a9bbe4cd4943b4a3962f8d32e1a6a3e6e76d00607fcb2b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.222167Z digest=sha256:a98a29fb00919e9ebcc9427eb4029cb223c0e7aca5aacb3b4dddf9ed628a9104

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.227346Z digest=sha256:504e0c73a0139a11aa634ef69d36c97341090dd89d66e2e766f2e70a9efa4a7c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.232385Z digest=sha256:31f86837155439ac5fc8a8e37fd847f816a6169193f2da304cee89c91d2c443e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.237808Z digest=sha256:aeee1f1a5e5165c432dc4135e9b008aabce789c20d69be60e2b2ab07f88b4c92

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.243416Z digest=sha256:64ab66cd8e798f95904a2724a5607bfab084cde4f9b582ac2c849cadfe3f408b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.249384Z digest=sha256:ed62b16cd007dc536682e961b0a9f2faf8bc46b082716541a8b6e7036375e76e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.254107Z digest=sha256:a2d1b4533bb0939074ed13f1ae1af3777389a1633acd8055ce57efc6a2bd3692

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.258904Z digest=sha256:6d1e4d89724ed9aff2b8b00fdb298c55922344c2440fe74dddd55bff40aa733d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.263653Z digest=sha256:b37566760a3053462be7e645efc93c53cb0291a41e1b9c79ace64ad4208f6a88

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.271439Z digest=sha256:dee9666aa32f346248b84b2b61a18af8708fb470fb24d76f543a98f1e1378f7c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.276461Z digest=sha256:3374bace40f8b7df85abe1f44d9d2451fd4cdd401185eed1eb280ecfec631c55

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.281419Z digest=sha256:60b7559f0186a2ca73689cfd75fbbf30be516a860bc440e6bca4ecb307db3f37

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.288674Z digest=sha256:5f9d0f663021997882d75e77cbc2ccd7e800d76007c1ad26ce44d641f657112d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.294842Z digest=sha256:4457bb6dff550e5ac206ea0f716d1740e7a2e1211daf060afdf5690f8ad82620

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:46:27.300535Z digest=sha256:9c8476dd69ceba4f6597b7f3f35801dab35b82db929f08e2864c764eac96aa6b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:b993a444f4209eec30a734e2b0a94f095bebd6369ad4867b9c4f7d9ed2a07007