Paper Citation Record · LEDGER

ReliableTableQA:How Much Supervision Does Reliability Annotation Need?

As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.20537.

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

pith.paper-citation-record.v1
2607.20537 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:35:32.344730Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 905d9d2d-7369-4213-a47b-18ca40392cf1 · outbound

This paper cites Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir R.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:30.524343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed358611-a2b5-4408-8639-b8c61469edf9 · outbound

This paper cites Can LLM already serve as a database interface? A BIg bench for large-scale database grounded text-to-SQLs.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Can LLM already serve as a database interface? A BIg bench for large-scale database grounded text-to-SQLs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:30.562055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3e6b3a-81cc-4876-9984-717022082425 · outbound

This paper cites AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:30.650944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 436eadbe-0ed3-4321-934f-73f24d1caae6 · outbound

This paper cites TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:30.764298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c708705-9587-41d5-b96a-43c786d78e0a · outbound

This paper cites Reliable text-to-SQL with adaptive abstention.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Reliable text-to-SQL with adaptive abstention

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:30.850554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb72e81a-2b04-4343-974d-9b0462d2d247 · outbound

This paper cites Carlin, Hal S.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Carlin, Hal S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.005649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c064aafb-2e02-41ca-9e76-6459e335290d · outbound

This paper cites Tukey.Exploratory Data Analysis.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Tukey.Exploratory Data Analysis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.140105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa54e7c-f67f-40e9-8a7b-d28dc4ce1bc6 · outbound

This paper cites Controlling the false discovery rate: A practical and powerful approach to multiple testing.Journal of the Royal Statistical Society: Series B (Methodological), 57(1):289–300, 1995.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Controlling the false discovery rate: A practical and powerful approach to multiple testing.Journal of the Royal Statistical Society: Series B (Methodological), 57(1):289–300, 1995

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.332266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785f634c-64ce-49e0-b325-4e7782b4151b · outbound

This paper cites Qwen2.5 technical report, 2025.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Qwen2.5 technical report, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.477687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ea1383-d005-403a-8348-1d54a54ecf16 · outbound

This paper cites Qwen3 technical report, 2025.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Qwen3 technical report, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.558259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d9585a2-0bb8-4bd8-9548-ab4d9b6c29c3 · outbound

This paper cites TRL: Transformer reinforcement learning, 2020.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? TRL: Transformer reinforcement learning, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.671618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d5b055-0ec4-4261-a4f2-8479a84b7640 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.802352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e151861b-27ed-4245-aedf-dc9ba2070019 · outbound

This paper cites Calibrating LLMs for text-to-SQL parsing by leveraging sub-clause frequencies.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Calibrating LLMs for text-to-SQL parsing by leveraging sub-clause frequencies

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.956293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eebaa2a-44af-433f-8559-69ed3ca35426 · outbound

This paper cites Node-level uncertainty estimation in LLM-generated SQL.arXiv preprint arXiv:2511.13984, 2025.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Node-level uncertainty estimation in LLM-generated SQL.arXiv preprint arXiv:2511.13984, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:31.996197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57911278-49f0-4970-9086-72765eb884b2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:32.077399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ede9a0-b221-4275-b164-40ac7970788b · outbound

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

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:32.168829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfb5b99-3bef-4053-bc9c-26b91a1e5d6d · outbound

This paper cites Ilyas, and Christopher Ré.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? Ilyas, and Christopher Ré

Reference 17

Resolution: verified exact; doi, observed 2026-08-02T07:38:25.643362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a473f591-b64d-4521-9bba-fc0b6b62064e · outbound

This paper cites how many orders per state?.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? how many orders per state?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T07:35:32.344730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.