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Paper Citation Record · LEDGER

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 4 inbound Pith citation observations for arXiv:2411.16742.

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

pith.paper-citation-record.v1
2411.16742 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:41.413323Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:14:11.126201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:21:01.501548Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ef633e1-6629-4db5-a914-fcac40f1858d · outbound

This paper cites URL: " 'urlintro :=.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities URL: " 'urlintro :=

Reference 1

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Source-reported events for the cited work

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Observation cfca5397-b2a1-4187-bb35-1f32cd5ecf12 · outbound

This paper cites write newline.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities write newline

Reference 2

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Observation fe6570ea-2339-4dee-9910-3c33bbba49c5 · outbound

This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 04939746-65d6-4d03-ac75-36e09b076154 · outbound

This paper cites Uncertainty in Natural Language Generation: From Theory to Applications.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Uncertainty in Natural Language Generation: From Theory to Applications

Reference 4

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Observation e8fdd21e-74d8-47f7-a53e-0caf9c25d58c · outbound

This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation ba5ed239-9af6-438a-b83b-8d51ab44aed9 · outbound

This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12feff4b-f9f8-4be6-92ee-4f873122bca1 · outbound

This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 7

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Observation 65336a93-8447-487e-ad43-3dc9532c6146 · outbound

This paper cites GPT-4 Technical Report.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities GPT-4 Technical Report

Reference 8

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Observation 79301788-846e-468b-b867-8e0631e740f0 · outbound

This paper cites Selective Classification for Deep Neural Networks.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Selective Classification for Deep Neural Networks

Reference 9

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Observation a040125d-bede-41e2-ade0-a02f08dd2d93 · outbound

This paper cites Weinberger.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Weinberger

Reference 10

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Source-reported events for the cited work

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Weinberger

Reference 11

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Observation 05962f18-e9f5-4255-a3cb-3fd08ccfd7e1 · outbound

This paper cites Calibrating Long-form Generations from Large Language Models.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Calibrating Long-form Generations from Large Language Models

Reference 12

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Observation 0a8cd01a-139a-4cfd-9207-555e51aa5457 · outbound

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

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Language Models (Mostly) Know What They Know

Reference 13

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Source-reported events for the cited work

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Observation 7b03a4f4-6abd-4411-b54b-36f54bae988a · outbound

This paper cites Large Language Models Must Be Taught to Know What They Don't Know.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Large Language Models Must Be Taught to Know What They Don't Know

Reference 14

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This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 15

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Observation 64acb779-931e-4a3d-8642-8e96531cad6f · outbound

This paper cites Calibration of Encoder Decoder Models for Neural Machine Translation.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Calibration of Encoder Decoder Models for Neural Machine Translation

Reference 16

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unresolved
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Source-reported events for the cited work

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Observation 2ab0de50-42b7-4af3-b6c9-3cd49ad3ebfd · outbound

This paper cites CodeS: Towards Building Open-source Language Models for Text-to-SQL.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 17

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Source-reported events for the cited work

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Observation 9e12b670-71de-4d5b-8e5b-fc36e5b8f1f4 · outbound

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

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Reference 18

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Source-reported events for the cited work

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Observation 4b146c6c-bb1c-48aa-96fd-614199f6765d · outbound

This paper cites TCE: A Test-Based Approach to Measuring Calibration Error.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities TCE: A Test-Based Approach to Measuring Calibration Error

Reference 19

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Observation 54150eaf-c9f2-41d4-973b-efebe32fe0f4 · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 20

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 21

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Observation cfb76883-5cdf-491e-a305-94a0f37cfa64 · outbound

This paper cites Self-Evaluation Improves Selective Generation in Large Language Models.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Self-Evaluation Improves Selective Generation in Large Language Models

Reference 22

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Observation aad9b952-5e45-4e6f-8e10-2d03b96b590f · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Code Llama: Open Foundation Models for Code

Reference 23

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Observation 0dc7907d-25d8-4125-a805-a93ffab95ccb · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 24

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Observation 77eb54c7-7f39-4570-b79d-41edecc9b34c · outbound

This paper cites an unresolved cited work.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 25

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Observation fb886c59-49a6-4375-a424-87454154f32b · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities What Large Language Models Know and What People Think They Know

Reference 26

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 27

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Observation f4be0c5e-8c5d-4525-917d-5c6dfdd89255 · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 28

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This paper cites Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, and Yejin Choi.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, and Yejin Choi

Reference 29

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Observation 7221537f-06a3-438f-803c-6469c415afe0 · outbound

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation

Reference 30

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Chen, Yoonho Lee, Eric Mitchell, and Chelsea Finn

Reference 31

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Source-reported events for the cited work

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 32

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 33

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 34

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Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Unresolved cited work

Reference 35

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Pith citing papers

Observation cceb82af-0007-4fa8-a2e8-86bc29b80cc9 · inbound

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration cites this paper.

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities

Reference 18

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Observation 2692de6f-4d1f-446d-b4e8-62fc7c3f2a11 · inbound

Confidence Estimation for Text-to-SQL in Large Language Models cites this paper.

Confidence Estimation for Text-to-SQL in Large Language Models Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T22:36:21.665580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:36:21.665580Z digest=sha256:a3cbb01158330f092ba60e2e17b7a4727e27bcac40ea7e923831758cb2e9724c

Observation 0b83e491-fa31-4137-a95e-543a0112594d · inbound

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning cites this paper.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T22:48:32.435301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:48:32.435301Z digest=sha256:c9e470eaa8855dc92ed52c60a05096aaf917dbac77755222edea1b39f6ecd6c7

Observation f43748a2-a46a-4702-8629-896e88b0edba · inbound

Calibrated Confidence Estimation for Tabular Question Answering cites this paper.

Calibrated Confidence Estimation for Tabular Question Answering Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:01.517361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:00:46.646913Z digest=sha256:566f0385585418a458e64880008a70906d679b04064b7e4aaadbd3b9d0dc3e81