Paper Citation Record · LEDGER

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.09359.

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

pith.paper-citation-record.v1
2506.09359 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:40.025942Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact2
verified fuzzy11
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6c36653-877b-4cab-969d-f47ab065781f · outbound

This paper cites write newline.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.916577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6042df2-c913-429c-ae53-4b8120a88806 · outbound

This paper cites Open-sourcing sql eval: Making benchmarking easier for sql generation models, November 2024.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Open-sourcing sql eval: Making benchmarking easier for sql generation models, November 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.334768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 093beab7-0db2-4ca7-b1e8-58a3e06f081d · outbound

This paper cites ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.925206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3d974a-16e3-4e4b-ab49-de67b1410c89 · outbound

This paper cites and Lee, H.-y.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL and Lee, H.-y

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.324756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce84dcb2-8de7-458b-b9cf-a6c1d822cdf8 · outbound

This paper cites Cosette: An automated prover for sql.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Cosette: An automated prover for sql

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.314871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 194dda6a-ec43-4677-a44d-823e6a9d4433 · outbound

This paper cites Axiomatic foundations and algorithms for deciding semantic equivalences of sql queries.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Axiomatic foundations and algorithms for deciding semantic equivalences of sql queries

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.303591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b3f7c77-a394-4359-b73a-f723ce6e362b · outbound

This paper cites sql-eval, n.d.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL sql-eval, n.d

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.291736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68d08277-000e-4144-9247-94fc2c590247 · outbound

This paper cites and Singh, M.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL and Singh, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.280560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 043abf17-8a7e-4cb5-8f6e-d4ccf0ad1264 · outbound

This paper cites Proving query equivalence using linear integer arithmetic.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Proving query equivalence using linear integer arithmetic

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.949177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ea9542-602d-41e9-8280-cb730d704646 · outbound

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL A Survey on LLM-as-a-Judge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.952751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4db2795-a666-4a34-b082-cce020cff8bc · outbound

This paper cites FLEX : Expert-level false-less EX ecution metric for text-to- SQL benchmark.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL FLEX : Expert-level false-less EX ecution metric for text-to- SQL benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.956707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba47b32-f89d-4e18-b778-c27ceb3a6d6d · outbound

This paper cites Quantifying Semantic Query Similarity for Automated Linear SQL Grading: A Graph-based Approach.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Quantifying Semantic Query Similarity for Automated Linear SQL Grading: A Graph-based Approach

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:54:40.187925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd30f3e6-e40a-4d3e-959b-08abf2442b3e · outbound

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.270169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8329e75-bafa-4e88-9e72-69b8b94a23fe · outbound

This paper cites D e T riever: Decoder-representation-based retriever for improving NL 2 SQL in-context learning.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL D e T riever: Decoder-representation-based retriever for improving NL 2 SQL in-context learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.259191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eded44f0-435b-4288-89f8-c71023f8ea13 · outbound

This paper cites Calibrating LLM -based evaluator.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Calibrating LLM -based evaluator

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.248458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39b4f32d-3f9a-47d4-8915-dbf7180d9172 · outbound

This paper cites HD -eval: Aligning large language model evaluators through hierarchical criteria decomposition.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL HD -eval: Aligning large language model evaluators through hierarchical criteria decomposition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.976342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345bc2ae-3237-48c6-b354-dd9ca58d03b2 · outbound

This paper cites Hybrid Ranking Network for Text-to-SQL.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Hybrid Ranking Network for Text-to-SQL

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.979903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134a1b63-c701-4fd2-b269-8c49c31172eb · outbound

This paper cites and Rafiei, D.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL and Rafiei, D

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.236833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b61ea1a-7a1d-4705-8116-eeb623a27766 · outbound

This paper cites and Rafiei, D.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL and Rafiei, D

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.987404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb415af-a983-4a56-bb29-03c8c70eeaf9 · outbound

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:39.995309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960f1f04-9550-46c2-b814-854327a4f518 · outbound

This paper cites SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:54:40.148099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21ec9455-4851-44a9-a821-3ee198ddea3d · outbound

This paper cites SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.002669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c336f1-a693-4b94-a69d-085e950a02e6 · outbound

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.006571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0a4edc-8a85-4047-83bf-ee7cbb794297 · outbound

This paper cites Is C hat GPT a good NLG evaluator? a preliminary study.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Is C hat GPT a good NLG evaluator? a preliminary study

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.010704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aef7a10-5fdb-4f44-b039-78b1058e7add · outbound

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL S pider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to- SQL task

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.014488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c3dc02-7122-4509-94bd-0140edfbf745 · outbound

This paper cites Towards database-free text-to- SQL evaluation: A graph-based metric for functional correctness.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Towards database-free text-to- SQL evaluation: A graph-based metric for functional correctness

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:40.219860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae84871f-28a7-4f6c-83ee-b2c15c4961d2 · outbound

This paper cites Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.022291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672a3ee4-9f4f-4db3-851c-dd44a0700192 · outbound

This paper cites LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.025942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.