Paper Citation Record · LEDGER

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2605.00628.

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

pith.paper-citation-record.v1
2605.00628 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:00:03.585341Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:45:16.745326Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T12:45:17.072853Z

Reference resolution

50 of 50 outbound references displayed

verified exact14
verified fuzzy33
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e7ec3b6-51bb-402f-b21b-2ae5522d3a5b · outbound

This paper cites A survey on deep learning approaches for text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement A survey on deep learning approaches for text-to-SQL

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.940645Z

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Observation d89edb48-b3f9-47c8-90bf-f94614cb166a · outbound

This paper cites Natural language to SQL: State of the art and open problems.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Natural language to SQL: State of the art and open problems

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.875994Z

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Observation f6c13757-21a2-4155-9c0e-3f4b745b2b5b · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement DIN-SQL: Decomposed in-context learning of text-to-SQL with self-correction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.912965Z

Source-reported events for the cited work

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Observation 60d18e6c-11ff-467e-ad81-1ad78dbb7d8e · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:56:36.299735Z

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 f74da970-896d-48c6-b02c-c6cd98a1e822 · outbound

This paper cites MAC-SQL: A multi-agent collabo- rative framework for text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement MAC-SQL: A multi-agent collabo- rative framework for text-to-SQL

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.916932Z

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 405f8ecb-88e6-426a-a025-2fc2315cfef1 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 6

Resolution: verified exact; 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 2026-08-12T06:34:41.77262+00:00.

Observation 3aa75c26-10c9-448f-89d1-0dda568a83ec · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.839047Z

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 77e0647b-5634-4808-a50f-eada7828a9c9 · outbound

This paper cites Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:35.965040Z

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 98c949f7-8f78-4633-8143-2a17c065cdf4 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:35.848349Z

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 bd518316-768e-4c7c-a66a-4ac8771a8620 · outbound

This paper cites RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.920776Z

Source-reported events for the cited work

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Observation 636e49ef-9132-48ce-a8e2-eefaaffbb094 · outbound

This paper cites Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.126394Z

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 e46dd7f8-9ad9-4659-953f-fd9481a02e99 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Can LLM already serve as a database interface? a big bench for large-scale database grounded text-to-SQLs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.908918Z

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 5ebc569f-1451-4121-ad4e-46fa104f8b5c · outbound

This paper cites PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.883753Z

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 8d272c93-d554-418f-b90f-7e41a9e3cad1 · outbound

This paper cites Text-to-SQL error correction with language models of code.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Text-to-SQL error correction with language models of code

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.853956Z

Source-reported events for the cited work

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Observation dd3bc324-f548-46ad-852b-985d63a75d62 · outbound

This paper cites SHARE: An SLM-based hierarchical action correction assistant for text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement SHARE: An SLM-based hierarchical action correction assistant for text-to-SQL

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.932942Z

Source-reported events for the cited work

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Observation de7625c9-fda9-4dcb-8d48-9c4fb4e7f26c · outbound

This paper cites Enhancing text-to-SQL parsing through question rewrit- ing and execution-guided refinement.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Enhancing text-to-SQL parsing through question rewrit- ing and execution-guided refinement

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.891404Z

Source-reported events for the cited work

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Observation 494fc7e8-6411-43be-99b8-e8a131e4b346 · outbound

This paper cites CoSQL: A conversational text-to- SQL challenge towards cross-domain natural language interfaces to databases.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement CoSQL: A conversational text-to- SQL challenge towards cross-domain natural language interfaces to databases

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.835220Z

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 3f085d2e-22a2-4121-9919-0f8356c5fadf · outbound

This paper cites Speak to your parser: Interactive text-to-SQL with natural language feedback.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Speak to your parser: Interactive text-to-SQL with natural language feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.846219Z

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 c4af1565-c954-4fb6-9c38-a8e3e012eb41 · outbound

This paper cites Interactive text-to-SQL generation via editable step-by-step explanations.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Interactive text-to-SQL generation via editable step-by-step explanations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.872669Z

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 38a1f63a-32f7-4bc4-a70b-b33fabf17c73 · outbound

This paper cites Benchmarking and improving text-to-SQL generation under ambiguity.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Benchmarking and improving text-to-SQL generation under ambiguity

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.827897Z

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 c9c1e69f-d6f4-49aa-b7e6-69bb72e1d43c · outbound

This paper cites AMBROSIA: A benchmark for parsing ambiguous questions into database queries.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement AMBROSIA: A benchmark for parsing ambiguous questions into database queries

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.868713Z

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 02790890-dd79-474d-931b-9fe3c20f4eff · outbound

This paper cites PRACTIQ: A practical conversational text-to-SQL dataset with ambiguous and unanswerable queries.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement PRACTIQ: A practical conversational text-to-SQL dataset with ambiguous and unanswerable queries

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.820444Z

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 61f0f0df-a1ae-427e-a7ae-8e37ee7b9ea1 · outbound

This paper cites ODIN: A NL2SQL Recommender to Handle Schema Ambiguity.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement ODIN: A NL2SQL Recommender to Handle Schema Ambiguity

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:37.150087Z

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 e003437f-f189-4964-bc76-32151cf7e403 · outbound

This paper cites CLEAR: A parser-independent disambiguation framework for NL2SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement CLEAR: A parser-independent disambiguation framework for NL2SQL

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.928709Z

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 00be91e0-8d99-4a71-93a4-082d6c148e5f · outbound

This paper cites CodeT: Code Generation with Generated Tests.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement CodeT: Code Generation with Generated Tests

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:55:14.833358Z

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 90323af3-c168-4bc0-9b38-ec8b248f9774 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Teaching Large Language Models to Self-Debug

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:24:25.951261Z

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 355d1c6b-4b26-4b03-9c76-726067a197b0 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Reflexion: Language agents with verbal reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.900823Z

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 fc6bc69e-a722-496f-916c-21fc8793628b · outbound

This paper cites BEAVER: An Enterprise Benchmark for Text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement BEAVER: An Enterprise Benchmark for Text-to-SQL

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:56:12.621524Z

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 820756ea-be2a-44e4-a3ef-220806d42e24 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:58:50.330371Z

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 e255260d-6eed-4a14-abb7-d826ee318440 · outbound

This paper cites Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.831887Z

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 96e53682-af72-4872-b104-efe8109924c5 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.864595Z

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 07f2c8b0-4e05-4481-80e9-e8d12c81ecad · outbound

This paper cites CodeS: Towards building open- source language models for text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement CodeS: Towards building open- source language models for text-to-SQL

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.944372Z

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 26e3cb75-4e84-46fa-a03e-f04533a85430 · outbound

This paper cites The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.865962Z

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 e6d668e9-f667-4f24-b0c0-8ab93842e6d8 · outbound

This paper cites A survey of NL2SQL with large language models – where are we, and where are we going?arXiv preprint arXiv:2408.05109v1.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement A survey of NL2SQL with large language models – where are we, and where are we going?arXiv preprint arXiv:2408.05109v1

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.565026Z

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 317294b3-1a70-4437-baa5-4842d809c4bf · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Next-generation database interfaces: A survey of llm-based text-to-sql

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.780662Z

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 db201692-2a9c-4aba-80dc-2b160172fe00 · outbound

This paper cites Towards robustness of text-to-SQL models against synonym substitution.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Towards robustness of text-to-SQL models against synonym substitution

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.857621Z

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 ae28382c-d8a5-4068-beaf-02269b76ae0b · outbound

This paper cites Exploring underexplored limitations of cross-domain text-to-SQL generalization.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Exploring underexplored limitations of cross-domain text-to-SQL generalization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.904817Z

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 87f2fb9a-7a72-490f-8543-ea9ac2b622e3 · outbound

This paper cites Interactive Text-to-SQL via Expected Information Gain for Disambiguation.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Interactive Text-to-SQL via Expected Information Gain for Disambiguation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.436117Z

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 641af90f-de0b-4459-8a66-bf4c665216d2 · outbound

This paper cites Know what I don’t know: Han- dling ambiguous and unknown questions for text-to-SQL.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Know what I don’t know: Han- dling ambiguous and unknown questions for text-to-SQL

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.842354Z

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 6c1c168e-e4d3-4e46-9f79-b4594f21ecfb · outbound

This paper cites Spider 2.0: Evaluating language models on real-world enterprise text-to-SQL workflows.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Spider 2.0: Evaluating language models on real-world enterprise text-to-SQL workflows

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.879828Z

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 9aee7707-0da4-49d7-91e7-2ac5594eefba · outbound

This paper cites BenchPress: A human-in-the-loop annotation sys- tem for rapid text-to-SQL benchmark curation.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement BenchPress: A human-in-the-loop annotation sys- tem for rapid text-to-SQL benchmark curation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.895435Z

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 0509b07c-d420-43b1-8d45-b38a5938bafa · outbound

This paper cites Reliable Text-to-SQL with Adaptive Abstention.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Reliable Text-to-SQL with Adaptive Abstention

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:36.923109Z

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 763545c5-f831-4aa1-8a26-413e87221afb · outbound

This paper cites SNAILS: Schema naming assessments for improved LLM-based SQL inference.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement SNAILS: Schema naming assessments for improved LLM-based SQL inference

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.850110Z

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 fd6bf32f-65d3-4e09-b8d2-5e120f89a3a9 · outbound

This paper cites arXiv:2509.00581 [cs].

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement arXiv:2509.00581 [cs]

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:56:37.014893Z

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 3640f278-9de3-417d-9ae5-58b13ee7e12e · outbound

This paper cites Generalized coloring for tree-like graphs.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Generalized coloring for tree-like graphs

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.860992Z

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 f4196e97-be3c-4912-a806-770e3e80a4c1 · outbound

This paper cites Garcia-Molina, J.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Garcia-Molina, J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.887305Z

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 e114b8ed-ab87-4199-940c-023424c77c9f · outbound

This paper cites Abiteboul, R.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Abiteboul, R

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.936697Z

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 1f02f3b5-10e4-428f-abe9-ce5ee92b79c4 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Self-consistency improves chain of thought reasoning in language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.824082Z

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 b6b61dae-095d-446b-8109-e38299ad53a3 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement C3: Zero-shot Text-to-SQL with ChatGPT

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:56:36.612526Z

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 d4397d13-cca7-47c2-888b-6396de5a4513 · outbound

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

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Chain-of-thought prompting elicits reasoning in large language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T22:21:16.924782Z

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.

Pith citing papers

Observation 1644155d-a34a-4b1e-b275-708ecdb79531 · inbound

From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL cites this paper.

From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-10T12:45:17.076686Z

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.