Paper Citation Record · LEDGER

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2509.07159.

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

pith.paper-citation-record.v1
2509.07159 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:48:35.507042Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:27:38.131329Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.689700Z

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy11
unresolved35
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dba392b-cd12-45ea-9f5a-6d502b233d0b · outbound

This paper cites RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:29.563152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbdd959a-5eb6-4218-b1c0-167ad7b6e410 · outbound

This paper cites PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:29.725357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3ccdbf-92f9-4f70-9d17-dc49e5e0af4d · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Din-sql: Decomposed in-context learning of text-to-sql with self-correction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:38.823010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6011d5b3-1b1d-4021-a4da-e654f436a32d · outbound

This paper cites CHESS: Contextual Harnessing for Efficient SQL Synthesis.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:29.957519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad15bfe4-7f61-40ac-85d2-b9fa4f0990d9 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.050130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6517d93b-7746-4627-9adb-70b92cbe20da · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:38.608366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c6e00aa-4f3f-4dd9-8a7a-c153c1e49ae4 · outbound

This paper cites CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:38.245787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a7cc7e8-0b81-4b0f-8f1c-a71f4b72cc25 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.458664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a2f3c1-c7d1-4bc6-9fac-003778be3ee0 · outbound

This paper cites Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.522136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e81ea7-dec7-4a42-a4de-223c3c59949f · outbound

This paper cites OpenAI o1 System Card.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning OpenAI o1 System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.668066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a70ecb-f05b-4523-9a60-1c7f15eb6aef · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.814866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2ee7c7-16b6-4122-bc1b-b76a70beea50 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:30.994236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c8592b-73ef-40a1-88a0-ac14bc90f84a · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:31.148255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ae32ed-2e65-414f-8bbb-07b242acc41b · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:31.257641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c99ca4-73b6-494b-b253-a4bd46b2ea98 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:31.367398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0b690f-9baf-4777-a627-dce295f3bf87 · outbound

This paper cites Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:38.052616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55b487a0-5d88-4fa7-ba0d-9c5646571899 · outbound

This paper cites Codes: Towards building open-source language models for text-to-sql,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Codes: Towards building open-source language models for text-to-sql,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:37.761137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1042834e-3efa-4adb-b22e-474f519d7ff2 · outbound

This paper cites PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-04T22:48:35.858315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f54fae96-d2e7-45e5-b0aa-7fa7a3132c62 · outbound

This paper cites ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.097902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8831616-8af3-49c1-b0bd-b9217d996811 · outbound

This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.217291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45075c7d-bb99-4c13-8679-ede3bb55d1c1 · outbound

This paper cites Re- flexion: Language agents with verbal reinforcement learning,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Re- flexion: Language agents with verbal reinforcement learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.315334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities.

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.

Observation 0e6f288c-3cec-4927-bf7e-43380ab7134b · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.557614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c19d91-9dd0-49e4-bf54-bcd3b4dcf963 · outbound

This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.672774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0045ce-3163-43a5-b572-3aa99722327f · outbound

This paper cites Qwen3 Technical Report.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Qwen3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.741532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98025b53-ca3d-4a8b-983b-95708b9b640b · outbound

This paper cites Phi-4-reasoning Technical Report.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Phi-4-reasoning Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.864628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db449283-f2bf-4870-853d-5586e3b63f01 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:32.944371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf436d8-19d0-447d-b916-0d7c483b81c0 · outbound

This paper cites In-context reinforcement learn- ing with retrieval-augmented generation for text-to-sql,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning In-context reinforcement learn- ing with retrieval-augmented generation for text-to-sql,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:37.488914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d32f97e6-bbd0-4295-827b-7badb9ca3cb2 · outbound

This paper cites LLM-based SQL generation with reinforcement learning,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning LLM-based SQL generation with reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:37.271539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4018a62-2874-45a5-8c83-c4e433212026 · outbound

This paper cites STaR-SQL: Self-Taught Reasoner for Text-to-SQL.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning STaR-SQL: Self-Taught Reasoner for Text-to-SQL

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:33.340134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e16180a-328b-4c85-ab63-22fa105c55ef · outbound

This paper cites Deepsql-r1: A quantized llm for high-performance and reinforcement driven nl2sql generation,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Deepsql-r1: A quantized llm for high-performance and reinforcement driven nl2sql generation,

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-04T22:48:33.452927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2d5223-45f0-4358-884d-c55f0ecaa005 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:33.600738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237fd520-82e5-4f2e-af83-900fcefea443 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Sql-r1: Training natural language to sql reasoning model by reinforcement learning,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:33.751694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fd099f-688c-49c1-b414-b11afec62ecf · outbound

This paper cites Arctic-Text2SQL-R1: Simple rewards, strong reasoning in Text-to-SQL,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Arctic-Text2SQL-R1: Simple rewards, strong reasoning in Text-to-SQL,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:37.005444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bce16f20-6315-433b-9c78-4789c365ef49 · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning ReAct: Synergizing reasoning and acting in language models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:36.762743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ee4200b-0f00-4883-a0b1-0b6bcba8266d · outbound

This paper cites Teaching Large Language Models to Self-Debug.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Teaching Large Language Models to Self-Debug

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:34.256066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7004d49-9a8c-4f91-a0c8-f2b5c8d2aa92 · outbound

This paper cites Intercode: Standard- izing and benchmarking interactive coding with execution feedback,.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Intercode: Standard- izing and benchmarking interactive coding with execution feedback,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:36.503451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b44ce5d9-939f-484e-bd8d-5dcdf34fe5ff · outbound

This paper cites CodeR: Issue Resolving with Multi-Agent and Task Graphs.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning CodeR: Issue Resolving with Multi-Agent and Task Graphs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:34.602321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fcf7fc0-78f6-4f8b-a49f-2a7619730df3 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:34.743771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7752f5c2-5648-4001-b361-30d66e970498 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Agentless: Demystifying LLM-based Software Engineering Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:34.936810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f863c8e-2276-43f6-ae06-9b604840570b · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.017017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efab0355-7913-4e39-941f-dcc5502ff3a8 · outbound

This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.073263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44088e0f-36b7-4a08-838c-cd43d73ae58e · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.137217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcca5008-9b55-43de-9806-1721500ab18e · outbound

This paper cites Qwen2.5-Coder Technical Report.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Qwen2.5-Coder Technical Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.226847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57bb88b-b0ba-4178-9545-b0c12dc9f7b9 · outbound

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:48:36.186615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c93f3711-8b14-42d9-9fea-df62705ed78e · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning gpt-oss-120b & gpt-oss-20b Model Card

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.455714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34805e41-32a4-4693-9f53-819be52d2dd9 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:35.507042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57258685-a8c4-455e-bdf6-c822a23506aa · outbound

This paper cites Available: https://doi.org/10.1145/3654930.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Available: https://doi.org/10.1145/3654930

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T22:48:31.755748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 237f5cc8-f20e-454a-88fb-2948c19b4b3d · inbound

Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards cites this paper.

Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:37:09.691365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.