Paper Citation Record · LEDGER

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.25838.

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

pith.paper-citation-record.v1
2605.25838 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:29:02.529687Z

measured 24 of 24 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

24 of 24 outbound references displayed

verified exact5
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32a5624d-535e-4f8c-ba2d-169ab8e27b56 · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Bench- marking and improving text-to-SQL generation under ambiguity

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5adeff-33fc-47b3-afdf-fbcc757bb2d3 · outbound

This paper cites LiveSQLBench: A dynamic and contamination-free benchmark for evaluating LLMs on real-world text-to-SQL tasks.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL LiveSQLBench: A dynamic and contamination-free benchmark for evaluating LLMs on real-world text-to-SQL tasks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989afdd3-199c-4071-9e2e-d3581232073e · outbound

This paper cites Reverse engineering of relational databases: Extraction of an EER model from a relational database.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Reverse engineering of relational databases: Extraction of an EER model from a relational database

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181626f3-54dc-43da-8e99-56d56df31667 · outbound

This paper cites Beyond relations: A case for elevating to the entity-relationship abstraction.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Beyond relations: A case for elevating to the entity-relationship abstraction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a1a136-033e-412d-aca7-d0793f01a026 · outbound

This paper cites Mingwen Dong, Nischal Ashok Kumar, Yiqun Hu, Anuj Chauhan, Chung-Wei Hang, Shuaichen Chang, Lin Pan, Wuwei Lan, Henghui Zhu, Jiarong Jiang, Patrick Ng, and Zhiguo Wang.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Mingwen Dong, Nischal Ashok Kumar, Yiqun Hu, Anuj Chauhan, Chung-Wei Hang, Shuaichen Chang, Lin Pan, Wuwei Lan, Henghui Zhu, Jiarong Jiang, Patrick Ng, and Zhiguo Wang

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:33:54.149493Z

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 b396d907-57ee-42f2-9b8e-6815843bd20e · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.149905Z

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 ecd67717-e3a4-4b63-a0aa-58f6c49294d2 · outbound

This paper cites Next-generation database interfaces: A survey of LLM-based text-to-SQL.IEEE Transactions on Knowledge and Data Engineering, 2025.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Next-generation database interfaces: A survey of LLM-based text-to-SQL.IEEE Transactions on Knowledge and Data Engineering, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5499fdf-ae69-49fb-ac0a-9ab0c0690440 · outbound

This paper cites BIRD-INTERACT: Re-imagining text-to-SQL evaluation via lens of dy- namic interactions.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL BIRD-INTERACT: Re-imagining text-to-SQL evaluation via lens of dy- namic interactions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09427d0-f3c7-4c03-bb72-dc589805d5e8 · outbound

This paper cites A survey on deep learning approaches for text-to-SQL.The VLDB Journal, 32(4):905–936, 2023.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL A survey on deep learning approaches for text-to-SQL.The VLDB Journal, 32(4):905–936, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ed1bb9-26da-45a9-bf90-830424490232 · outbound

This paper cites Exploring database normalization effects on SQL generation.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Exploring database normalization effects on SQL generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02baebb1-f955-44ad-8f2f-fe7cdb04ef4f · outbound

This paper cites Re-examining the role of schema linking in text-to-SQL.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Re-examining the role of schema linking in text-to-SQL

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b0523b-40c5-471a-a171-12d03e14e3e6 · outbound

This paper cites Codes: Towards building open- source language models for text-to-SQL.ACM SIGMOD, 2(3):1–28, 2024.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Codes: Towards building open- source language models for text-to-SQL.ACM SIGMOD, 2(3):1–28, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6085c07-8e94-4890-acd1-17476f690ccf · outbound

This paper cites Exploring schema generalizability of text-to-SQL.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Exploring schema generalizability of text-to-SQL

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd9522d-9572-4827-9531-3bfe8c318f1b · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Can LLM already serve as a database interface? a BIg bench for large-scale database grounded text-to-SQLs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e05e38-0e70-42a4-a9e1-8f27490e9a62 · 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.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL A survey of NL2SQL with large language models – where are we, and where are we going?arXiv preprint arXiv:2408.05109v1

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.155423Z

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 121b9beb-b49f-41ff-a236-8cd7c531e1cb · outbound

This paper cites NL2SQL-bugs: A benchmark for detecting semantic errors in NL2SQL translation.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL NL2SQL-bugs: A benchmark for detecting semantic errors in NL2SQL translation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0407a1-472f-4e23-9dd2-0723e2a69ddb · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.155779Z

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 e9093059-59b9-4ffb-907d-583eb27bac5d · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.158812Z

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 72c3b7cd-daff-4f83-86bb-891570f3f8bb · outbound

This paper cites Din-SQL: Decomposed in-context learning of text-to-SQL with self-correction.Advances in neural information processing systems, 36:36339–36348, 2023.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Din-SQL: Decomposed in-context learning of text-to-SQL with self-correction.Advances in neural information processing systems, 36:36339–36348, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079e9611-e31c-4f59-952b-be6cb77af17d · outbound

This paper cites Generating test data for killing SQL mutants: A constraint- based approach.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Generating test data for killing SQL mutants: A constraint- based approach

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86a2376-1b29-479a-9bae-ba4aa7afa775 · outbound

This paper cites A survey on employing large language models for text-to-SQL tasks.ACM Computing Surveys, 2024.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL A survey on employing large language models for text-to-SQL tasks.ACM Computing Surveys, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a6c43a-9f22-48a1-852e-f8d0a59c4cb4 · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Rat-SQL: Relation-aware schema encoding and linking for text- to-SQL parsers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53bb92f8-014a-43bd-b7d1-e95a854d1e3e · outbound

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

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T19:29:02.529687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a28568d2-ae32-4eb4-ad06-7522819aa628 · outbound

This paper cites Evoschema: Towards text-to-SQL robustness against schema evolution.arXiv preprint arXiv:2603.10697, 2026.

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Evoschema: Towards text-to-SQL robustness against schema evolution.arXiv preprint arXiv:2603.10697, 2026

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.161597Z

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.

Pith citing papers

No inbound Pith citation observations are available.