Paper Citation Record · LEDGER

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL

As of 4 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2511.01008.

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

pith.paper-citation-record.v1
2511.01008 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:31:40.920567Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:38:41.126772Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T08:41:17.159771Z

Reference resolution

44 of 44 outbound references displayed

verified exact24
verified fuzzy2
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch17

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33687242-0ce8-4d96-9684-2fbb2e9f30fb · outbound

This paper cites MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.468249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37dee8b7-c314-4a2e-84d8-74d9fe138fc6 · outbound

This paper cites arXiv:2509.00581 [cs].

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL arXiv:2509.00581 [cs]

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.397823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2c70488b-d4e5-4c4a-9863-273146a774c2 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.463387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 63eb688d-130b-4805-809b-cfda77b74fb5 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.442691Z

Source-reported events for the cited work

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Observation 296217b1-a9ea-4c55-a8d5-6927e1240c4b · outbound

This paper cites C3: Zero-shot Text-to-SQL with ChatGPT.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.457745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c00408c-adcb-443c-bd0a-51410d05a9ec · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.426492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e22de1e3-e354-49d5-a1ff-d51483e9da66 · outbound

This paper cites Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.417600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37d3a83c-7c43-4faf-9819-073f67b7ed4e · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.402916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c8a3d14-07d0-444a-ab33-3ce01a83bb7f · outbound

This paper cites A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.432335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a0282e2-31c6-40dd-9ec9-31f33718e6dc · outbound

This paper cites A Survey on LLM-as-a-Judge.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL A Survey on LLM-as-a-Judge

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.412819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33c0561a-5738-4944-9f00-cccbbf46acb6 · outbound

This paper cites BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.408062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea5a5474-e86f-4bd4-b75c-1927508a9821 · outbound

This paper cites Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.437580Z

Source-reported events for the cited work

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Observation ced265c4-e2e2-4fc4-af70-f4cefd79ce25 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.452665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f17bfc2c-d820-44bc-9fd4-665632e016b0 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Next-generation database interfaces: A survey of llm-based text-to-sql

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.447758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5bde0b1d-ab65-4abe-856f-7a6d17ce72b1 · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.421811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc1fadad-3303-4218-b9de-fafe83d289e7 · outbound

This paper cites Qwen2.5-Coder Technical Report.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Qwen2.5-Coder Technical Report

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.300484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed7af09a-9fa3-4b99-80ef-203f0c56e3a6 · outbound

This paper cites an unresolved cited work.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Unresolved cited work

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.109634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb23a466-dde4-4dba-a050-df45fd29ac32 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.384460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80c07c86-9a34-44d7-bca5-d9989e6278a2 · outbound

This paper cites Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals

Reference 19

Resolution: metadata mismatch; doi, observed 2026-05-18T01:32:17.117597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 98e616cd-b4f6-4790-8c0d-18d7d496ff34 · outbound

This paper cites 11 MARS-SQL S.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL 11 MARS-SQL S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:32:17.815522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e08b0826-f228-4c18-9261-33f04edfa899 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.360996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d55b7182-2969-475f-a6e3-f0902373388c · outbound

This paper cites LEVER: Learning to Verify Language-to-Code Generation with Execution.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.272298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18b8ea36-8683-41ac-859a-242cca3dd86a · outbound

This paper cites OpenAI o1 System Card.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL OpenAI o1 System Card

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.322095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2bdbea4-40be-4dc1-b523-4f56d7e13cc4 · outbound

This paper cites DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.341065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 48574577-d7f8-406a-a2e3-6862fce5b5f0 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.366194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b724efc0-92bd-4f34-98f4-a6fad477b31c · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.351077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7512f080-b22d-4f1f-b945-cec29d62c2d2 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL ChatDev: Communicative Agents for Software Development

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.260802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a931f56-f31c-4d9d-9d74-bfecad37a2fb · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.356160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2a47556c-5232-4c1c-914f-cd5b77013b0e · outbound

This paper cites SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.266240Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33a0fb0b-65a6-453d-b5cd-5aca200d6ed0 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.388331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b00de8d-b198-4b7f-aef1-bd188589943e · outbound

This paper cites Exploring Chain-of-Thought Style Prompting for Text-to-SQL.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.312830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b333214e-bdc4-462f-9aa7-b21f457ca888 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:24:23.090090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83132a07-2efb-4d2f-b61a-8910465fd0e9 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.370617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 508783b4-fcd7-413c-9202-79eefaddf359 · outbound

This paper cites InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.393201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85e0cdbd-3316-4fee-b744-aa158e3f1357 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.255954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a85d173-5b60-4ce1-b94e-c0eeaad5c335 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.334740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02a55d80-ef1e-4337-915d-cf6014bd03d0 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL ReAct: Synergizing Reasoning and Acting in Language Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.306006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79197e90-47ca-4c77-b40d-1e4e77c98f77 · outbound

This paper cites arXiv:2505.20315 [cs].

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL arXiv:2505.20315 [cs]

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.318118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4134f4a1-245d-4859-83b4-b8c52a478c20 · outbound

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:32:17.294861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8bafb35-acab-453f-b684-ca337a7c983c · outbound

This paper cites Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Chain of Agents: Large Language Models Collaborating on Long-Context Tasks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.379971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32487686-1ec5-45f7-b291-5f1f0b46424a · outbound

This paper cites Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.375155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e412267-22f4-4a34-ae49-cb608c54c2aa · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T01:32:17.346126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a08eb421-3c91-4618-a077-92d8d81eafde · outbound

This paper cites an unresolved cited work.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-18T01:32:17.818507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c77d9a8f-32e1-4d2d-aab2-2c20fc4b4187 · outbound

This paper cites player_name.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL player_name

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T01:32:17.812563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation ea84ed25-65d4-4ecb-bd24-e08f4ef99916 · inbound

Residual Skill Optimization for Text-to-SQL Ensembles cites this paper.

Residual Skill Optimization for Text-to-SQL Ensembles MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-22T08:41:17.161526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.