Paper Citation Record · LEDGER

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 3 inbound Pith citation observations for arXiv:2505.00016.

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

pith.paper-citation-record.v1
2505.00016 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:52.704883Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:10:59.575505Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:39:48.669623Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy7
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbf59275-898d-41ac-8645-9f35ee6bd69f · outbound

This paper cites H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.487642Z

Source-reported events for the cited work

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Observation cf371f5f-63cc-4019-87a9-9fd5cd306cae · outbound

This paper cites The mighty torr: A benchmark for table reasoning and robustness.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning The mighty torr: A benchmark for table reasoning and robustness

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.493417Z

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Observation 16c6c9dc-accf-48d5-b4c6-5276da6bac2e · outbound

This paper cites A scalable llm framework for thera- peutic biomarker discovery: Grounding q/a generation in knowledge graphs and literature.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning A scalable llm framework for thera- peutic biomarker discovery: Grounding q/a generation in knowledge graphs and literature

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.579349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 863e35ae-c1cc-430a-a2a7-cea0257fd863 · outbound

This paper cites Interpretable LLM-based Table Question Answering.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Interpretable LLM-based Table Question Answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.502019Z

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Observation 5f3660b9-b8e4-48ba-879c-089971aac20b · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.506756Z

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Observation c91fc47b-534f-493d-bd2f-5ea0ea8f804d · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.511416Z

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Observation fb24c527-d907-4c1e-9926-a86399fc693e · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.517117Z

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Observation 240ab5b7-261e-4292-a2b9-224af8dfd15e · outbound

This paper cites Combining human and machine intelligence for clinical trial eligibility querying.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Combining human and machine intelligence for clinical trial eligibility querying

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.566985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1375d87-e4c9-45c0-90af-930d413ed914 · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.525040Z

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Observation 7a4413a6-8373-4dd5-856e-b25cea3e8e85 · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.529203Z

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Observation e1a10fb4-099a-480c-a57c-5fa0d211c0f3 · outbound

This paper cites Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.533988Z

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Observation 5c838018-ba7b-40d7-95d2-56acac091f0b · outbound

This paper cites The atis spoken language systems pilot corpus.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning The atis spoken language systems pilot corpus

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.538248Z

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Observation 78df7ba1-e9a0-4766-b769-e997135e5264 · outbound

This paper cites Next-generation database interfaces: A survey of llm-based text-to-sql.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Next-generation database interfaces: A survey of llm-based text-to-sql

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.542463Z

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Observation 82622498-f883-429b-8b17-762d36d29a4e · outbound

This paper cites OpenAI o1 System Card.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning OpenAI o1 System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.546289Z

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Observation 41efa72e-2e4f-41b6-a60e-831446f9146a · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.550526Z

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Observation 10e9a4cf-b829-46c6-99b4-54ffbc0a3d60 · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.554396Z

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Observation 0ae5f6a0-bac4-475b-a028-c6c8ca7a81a2 · outbound

This paper cites OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.558650Z

Source-reported events for the cited work

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Observation 70dda7cc-14c8-4029-a4f3-dd44eb09ac93 · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to- sqls.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Can llm already serve as a database interface? a big bench for large-scale database grounded text-to- sqls

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.562767Z

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Observation decda7c7-d0ee-406e-8666-43551f52cfaa · outbound

This paper cites A survey of nl2sql with 15 large language models: Where are we, and where are we going? arXiv preprint arXiv:2408.05109, 2024.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning A survey of nl2sql with 15 large language models: Where are we, and where are we going? arXiv preprint arXiv:2408.05109, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.566702Z

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Observation b24ee656-bc58-42a1-84d4-41405d611e99 · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Sql-r1: Training natural language to sql reasoning model by reinforcement learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.570876Z

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Observation a4f884ff-951b-4a88-9648-a11ef21bafc7 · outbound

This paper cites Llm-based text-to- sql for real-world databases.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Llm-based text-to- sql for real-world databases

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.541066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0422a9e-b06d-4afd-ba59-14373b966380 · outbound

This paper cites Fine-tuning text-to-sql models with reinforcement-learning training objectives.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Fine-tuning text-to-sql models with reinforcement-learning training objectives

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.578674Z

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Observation 44a87d72-2b02-4468-8770-5421c67b25de · outbound

This paper cites MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.582484Z

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Observation a521b573-fd42-457c-8a0a-8e88c0517406 · outbound

This paper cites Compositional Semantic Parsing on Semi-Structured Tables.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Compositional Semantic Parsing on Semi-Structured Tables

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.586620Z

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Observation 6cf624e8-efe2-4e79-b1c3-23d9849a8a82 · outbound

This paper cites The eicu collaborative research database, a freely available multi-center database for critical care research.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning The eicu collaborative research database, a freely available multi-center database for critical care research

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.521751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf84cb1a-fc87-4864-a5cf-d048dba2a624 · outbound

This paper cites Din-sql: Decomposed in- context learning of text-to-sql with self-correction.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Din-sql: Decomposed in- context learning of text-to-sql with self-correction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.595598Z

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Observation adc14989-6a97-469e-8dc9-881c0724479a · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.600294Z

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Observation 71a45054-a0e1-4fe6-9301-eb9f30de0d4e · outbound

This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning O1 Replication Journey: A Strategic Progress Report -- Part 1

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.605395Z

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Observation b4549f88-f2ab-4724-8e6a-362a5854db2e · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.609599Z

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Observation dc54124b-b211-47f9-b3f1-46c00c23e542 · outbound

This paper cites On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.613829Z

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Observation 99530ac1-0600-44f3-9191-b23682702545 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Reflexion: Language agents with verbal reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.502019Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71e40758-155f-4a65-a90f-f48682a15225 · outbound

This paper cites TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.622051Z

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Observation a89ea05d-8c51-4895-a4ae-563005cfa475 · outbound

This paper cites SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended).

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)

Reference 33

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Observation 95173ae3-e590-47a4-954e-8e7652646044 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.630811Z

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Observation d73b161c-aac3-48ed-94a8-7542a83bcb7c · outbound

This paper cites Text-to-sql generation for question answering on electronic medical records.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Text-to-sql generation for question answering on electronic medical records

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.489319Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8eb294d7-dc8f-4300-8407-2f5ad18c8cab · outbound

This paper cites Natural Language Models for Data Visualization Utilizing nvBench Dataset.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Natural Language Models for Data Visualization Utilizing nvBench Dataset

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.639163Z

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Observation 43356303-02ca-4b4a-81e0-19c7c7fdb7b0 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.643377Z

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Observation d51999e4-4933-4edd-b5d8-613653ca6f9a · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Chain-of-thought prompting elic- its reasoning in large language models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.647581Z

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Observation 7121d876-64fe-4ad7-9bef-ce800a072dda · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.651593Z

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Observation 413148ac-8d12-49a4-87f3-ab37753bf5fa · outbound

This paper cites Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.656847Z

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Observation db3f65fd-d1b1-4e5e-a929-825fbdf08682 · outbound

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

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.661551Z

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Observation faec3bac-6c82-491a-8ade-ffd0705a2ed2 · outbound

This paper cites Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.665798Z

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Observation 5f95176d-da3c-4d3b-830a-995c3cc7d129 · outbound

This paper cites TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.670819Z

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Observation 5ec74a40-585f-43da-b18d-af51009017e8 · outbound

This paper cites Crt-qa: A dataset of complex reasoning question answering over tabular data.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Crt-qa: A dataset of complex reasoning question answering over tabular data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.675947Z

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Observation e38c77de-4208-49c9-b69f-19d2662acb8e · outbound

This paper cites Promptcot: Synthesizing olympiad-level problems for mathematical reasoning in large language models.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Promptcot: Synthesizing olympiad-level problems for mathematical reasoning in large language models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.679780Z

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Observation 8dd2fb51-d834-4ee5-b1ff-e5752d85842e · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:52.683948Z

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Observation ee6d637d-c39e-4d72-8819-359b7eedbbf1 · outbound

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Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:54:53.461714Z

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Observation 562d33a6-dae6-4303-bef2-b8cff04569c7 · outbound

This paper cites an unresolved cited work.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:54:53.449451Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c460214f-eecf-4163-9a4f-cdbbbfd2e118 · outbound

This paper cites an unresolved cited work.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:54:53.437339Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b22b37b-0a5f-44b3-9286-74281753fa20 · outbound

This paper cites an unresolved cited work.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:54:53.425378Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79bc0734-0879-44d0-b098-54aa0dd18850 · outbound

This paper cites Unsloth provides support for QLoRA-style training with Flash Attention 2, bitsandbytes 2https://github.com/unslothai/unsloth 20 quantization, and PEFT-compatible adapters.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Unsloth provides support for QLoRA-style training with Flash Attention 2, bitsandbytes 2https://github.com/unslothai/unsloth 20 quantization, and PEFT-compatible adapters

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:53.413050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 335bd416-cae7-4620-8044-e41787e7b9d2 · inbound

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing cites this paper.

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:10:59.575505Z

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Observation 95f29556-b7ce-4988-b150-1786f96ab181 · inbound

Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds cites this paper.

Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:01:08.031911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04e3955-2550-4167-a761-14699ea866be · inbound

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning cites this paper.

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:39:48.673269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.