Pith. sign in

Paper Citation Record · LEDGER

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2410.01943.

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

pith.paper-citation-record.v1
2410.01943 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:29:19.391215Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:59.054086Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 20679407-ccc3-4f1d-be9d-42f99b27894c · inbound

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

CHESS: Contextual Harnessing for Efficient SQL Synthesis CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:24:22.880141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T11:24:22.789901Z digest=sha256:0c6536356ace71063241c1676b8338d2191720b8b325593c461e2b531d3e6119

Observation 1044ce43-6370-401b-8202-3028128b84da · inbound

Rationalization Models for Text-to-SQL cites this paper.

Rationalization Models 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 2026-08-08T14:29:19.391215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.391215Z digest=sha256:563494bb0663b1a415dc277ed881eada1b9793a892cd2ab29d2b320aa3f7a534

Observation 28d65edb-9851-4a3f-a90c-b505a79e4140 · inbound

Automatic Metadata Extraction for Text-to-SQL cites this paper.

Automatic Metadata Extraction for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.758351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:08.758351Z digest=sha256:f26a266d9cc8aa32e567e60c395b9b4816a7348eb2754f65c4adc1c65777116f

Observation f528194c-58c4-4958-9cb0-a541e6421b38 · inbound

TailorSQL: An NL2SQL System Tailored to Your Query Workload cites this paper.

TailorSQL: An NL2SQL System Tailored to Your Query Workload CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:10.887033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:10.887033Z digest=sha256:0fcaa2fa3655c2366881f543a221aa5ea59651fa65f143a87a4f2eb333d63091

Observation 0971f8fb-c031-4d1b-9f7a-e1860a04e30e · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:40.856528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:40.856528Z digest=sha256:d9dafae251116b2ccb49aa4daa64be74cb044122a1f7d22955b35bdeb0d93414

Observation 6ac31dce-efca-403e-a121-6ecd83a30055 · inbound

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages cites this paper.

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:37.137059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:37.137059Z digest=sha256:9b8522088e490761e6a4e6f9f4d729ab93792ab4a904a0cd8e8c556b2795ca44

Observation a6387e8f-7d90-4825-b90e-2c8ef2d4d8c1 · inbound

RAISE: Reasoning Agent for Interactive SQL Exploration cites this paper.

RAISE: Reasoning Agent for Interactive SQL Exploration CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:17.312724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.312724Z digest=sha256:1bb130c118680c5d2d91100c35e7e62909b956cd7124f4893e5612dc12b76177

Observation d523dafb-002d-48ef-9575-0e1e220e81a1 · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.101410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.101410Z digest=sha256:84c3165f24650e5877bcce05168c3a0a83b533e3ebc9e8b940103e517e092a96

Observation 6b1a1cd7-98be-4ba8-b8a8-5ad49a8b17d0 · inbound

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes cites this paper.

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:47.844013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:47.844013Z digest=sha256:2eb930fbcebc2f0c9d67001277cbd6df710ab69db2e3a266be9a2bbaf577199f

Observation 5b9e1aaf-b702-4f55-815b-6713b985dc00 · inbound

SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation cites this paper.

SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:16.302160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:16.302160Z digest=sha256:824787a015850e0078bc3bd231da65d30bf638ec87ca160e86532fa8b912dee3

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

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL cites this paper.

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.

source=arxiv_source observed=2026-08-07T04:54:39.995309Z digest=sha256:09ce8f5e4156bc8545da896144edeb5ebcd4141b54bda0f17018a9bc2a4b2b19

Observation c14907a7-e5d9-4972-991e-0993c2637487 · inbound

LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO cites this paper.

LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:05.460277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:05.460277Z digest=sha256:b667cdad1f1fb594a0d110e4fdc4e494a64c2ca237c912145a3536bce0e40207

Observation fc91be27-a52e-4481-b031-37b66dea85e3 · inbound

Towards Probabilistic Question Answering Over Tabular Data cites this paper.

Towards Probabilistic Question Answering Over Tabular Data CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:47:14.982329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:14.982329Z digest=sha256:81ad40cb183ed1321150d897e310e4326f9ab05a126d96c9c228b83ef50e8ac7

Observation 330a5bcf-9766-44af-b9be-16fcf36dde88 · inbound

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL cites this paper.

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:59.902187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T06:52:57.718359Z digest=sha256:1dbec95b913dc972dc7cdd354d4f8bb44a12eed1eb98c1953b2203e1a4a9024a

Observation a99696a7-b364-4d37-b076-d52fbff22780 · inbound

Text-to-SQL for Enterprise Data Analytics cites this paper.

Text-to-SQL for Enterprise Data Analytics CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:09:55.086588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:55.086588Z digest=sha256:44464f6424bc62ca476ba1c74e8e028b9efe66840b390ab8a25c8136fcbe98f9

Observation e3881762-9f32-4e1a-b9a0-4811c154cf34 · inbound

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL cites this paper.

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:18.287588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:18.287588Z digest=sha256:5550627a9c204b71d1a3fdc837f2199f0482731f75188977c5d925b41f8a503f

Observation bc8a824b-34bd-4a73-8007-402d690c87e4 · inbound

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking cites this paper.

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T17:54:40.678055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:54:40.678055Z digest=sha256:027942c12f31d9f4f0bcdcb0ddeaf36bbe03f4a767cf6661c7ab77398b685c7d

Observation 32b4b939-8b7d-46fc-8198-d0019c1d4517 · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:22.457331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:22.457331Z digest=sha256:c324a4cde56e3aa4db95aa9226007154b09604a9c7ce0a803270e1bc3aed0534

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

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning cites this paper.

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.

source=pdf_text observed=2026-08-04T22:48:32.217291Z digest=sha256:aaf6bcc594c8ebf10ddd7e7277e1ea8eb7cfb2f576cb6f947d9ffbda0322111e

Observation 350ddaea-9df0-415d-ac64-2d2f5e385a64 · inbound

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables cites this paper.

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:40:40.834745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T21:38:09.388808Z digest=sha256:3eb3b4f0954199c31761f195ae6d082aadd7265465d853f1c9f7ae3dd38130c1

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

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T01:31:40.920567Z digest=sha256:225c53e9e54bd3d0407e18103b842a47a593495c2accf4016df8fecffb7940fb

Observation ebfdfd7c-5fc1-418a-8d4a-dfa6dd455c95 · inbound

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL cites this paper.

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T01:04:45.868501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:04:45.868501Z digest=sha256:4467abca25377a7dbe1ac84f565fd6743c5a66e18067703290b4013056239a6d

Observation 17f02a1e-21dc-4715-9533-a68281bf0dbd · inbound

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views cites this paper.

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:30:57.979690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:09:46.385340Z digest=sha256:d7840e16f54443ca954ca918e800187c6dd6d473211120e7a06a609327469e5f

Observation 473d43f4-1c3c-4e73-907a-bac42823bd30 · inbound

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding cites this paper.

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:27.069640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T07:35:50.936221Z digest=sha256:19f99a468abe49c51c0c6243092db7fe978ce7b107b6141d5028e5b8b9fa3c54

Observation 29e83e75-67c4-4472-b01e-743d37cb221c · inbound

FINER-SQL: Boosting Small Language Models for Text-to-SQL cites this paper.

FINER-SQL: Boosting Small Language Models for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:31.426270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T13:01:51.900431Z digest=sha256:121052c5524e8fe4e9cc7e8a1f70c525ffdfaabd3f3727c4b8b943daa3f7ba09

Observation 84037737-23d0-42f8-8864-61e764fc3824 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 292

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.166439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:920f276fff63d92ec017dbc47bbaa0d2decae736f8cb66bd42de269415867ed7

Observation a89eacde-901c-4447-b354-f04faba11cbb · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 277

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:00:59.937858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:dab4d4dd11fe0c6b4e180c38df717aa1e746265efc6d022c9ed22383c9cf68c3

Observation 2f1a813d-bf27-4aff-8c10-61b86d75705a · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:25:58.127259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T02:28:20.366674Z digest=sha256:bec66d9a41afd968d530bf39bda22fcc388ddc1241ffbed57835ad561cc9b350

Observation 5b13246b-e784-4bb6-8eb5-1eb1fe9c92a9 · inbound

Data-aware candidate selection in NL2SQL translation via small separating instances cites this paper.

Data-aware candidate selection in NL2SQL translation via small separating instances CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:32:12.266753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T03:31:52.489934Z digest=sha256:188d46cabc227d5259ba0800f15ed9d7f739abfbbe57160d5296c430ce40f904

Observation 222cc1c4-2ab0-4624-8efc-3ed2c4d8ccb7 · inbound

AgentNLQ: A General-Purpose Agent for Natural Language to SQL cites this paper.

AgentNLQ: A General-Purpose Agent for Natural Language to SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:43:12.526457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:67ba02695dfd674fbe12420db4f9fd2aaab36160e8607616bd6fcf442cf0bcc6

Observation ad681c66-2214-4185-8f48-dfbc54b795e3 · inbound

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

Residual Skill Optimization for Text-to-SQL Ensembles CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:41:17.216052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T08:38:41.126772Z digest=sha256:ec886675b4de7cb134d46597aac9159d9175a3fba607cde55b3758e7bf9a6667

Observation e9093059-59b9-4ffb-907d-583eb27bac5d · inbound

Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL cites this paper.

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T19:29:02.529687Z digest=sha256:bc1bf5744a5a788b3e71ffeaad87fc585756da3ed3fd840aa6f340955c5bb9f0

Observation 65c1939d-55b5-4076-8990-f69903717386 · inbound

Bootstrapping Semantic Layer from Execution for Text-to-SQL cites this paper.

Bootstrapping Semantic Layer from Execution for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:59.055389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:35:31.886782Z digest=sha256:bea8061f2b21491df20f636b190b0014a5d40fc495473c5409802b521560a46e

Observation 9ca6933b-b595-4dd1-b492-5fd72118e72c · inbound

Database Context Compression for Text-to-SQL on Real-World Large Databases cites this paper.

Database Context Compression for Text-to-SQL on Real-World Large Databases CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.732671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2e4a8cf8703be197c0ea3f0b3d57cae0bdb6888c5e9efd091fb7f8883baad3ca

Observation 4d034ddb-c999-457f-a641-6eae6c22ce3c · inbound

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning cites this paper.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:31.988091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.988091Z digest=sha256:3ec929472cb48496e5964b2c2fed0944a9113180d7c87a769066c2ab38360a93