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Paper Citation Record · LEDGER

Rationalization Models for Text-to-SQL

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2502.06759.

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

pith.paper-citation-record.v1
2502.06759 v4

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:29:19.429296Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:58:10.013475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.075340Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d920f315-7926-48b3-aaa5-f9e6f7a1730c · outbound

This paper cites an unresolved cited work.

Rationalization Models for Text-to-SQL Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:29:19.776604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 111cc082-5232-4234-8472-a6cee4554f12 · outbound

This paper cites Copestake and Karen Sparck Jones.

Rationalization Models for Text-to-SQL Copestake and Karen Sparck Jones

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.768046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 75f79407-1bda-4994-8f1a-4ab57ea1fb0b · outbound

This paper cites an unresolved cited work.

Rationalization Models for Text-to-SQL Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.325375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.325375Z digest=sha256:6670c674e7bb92798eb74a42867c529ef8806966c96b2f915e9ddee20a85da0f

Observation 0dc1e37d-3b6e-4ddd-a18a-385e992289c4 · outbound

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

Rationalization Models for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 4

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no resolver link, observed 2026-08-08T14:29:19.330157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.330157Z digest=sha256:7fb683f5a90d222c45b150842f3ddf9fc6ee630ac55631eb52172409b8a2bcac

Observation d2f5a2e9-307a-4e34-bdb4-c67b90aad437 · outbound

This paper cites The Llama 3 Herd of Models.

Rationalization Models for Text-to-SQL The Llama 3 Herd of Models

Reference 5

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no resolver link, observed 2026-08-08T14:29:19.334184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.334184Z digest=sha256:0591fe73baa6d171b297f7c496c78683e7d9005d56de116735a48b4548f2e0ae

Observation f7621f46-1a61-44b7-ab71-57e646ebd94a · outbound

This paper cites Complexity-based prompting for multi-step reasoning.

Rationalization Models for Text-to-SQL Complexity-based prompting for multi-step reasoning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.752042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d3fcb02c-2575-421c-a213-8b5e95a52e50 · outbound

This paper cites Text-to-sql empowered by large language models: A benchmark evaluation.

Rationalization Models for Text-to-SQL Text-to-sql empowered by large language models: A benchmark evaluation

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.343118Z digest=sha256:efe61baa5cf80af89ea3c744ea0257599dbea511f4b4e9a88b46e355f08ad40d

Observation 0376c400-9051-415e-86ec-0014fc06b41d · outbound

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

Rationalization Models for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

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no resolver link, observed 2026-08-08T14:29:19.346735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.346735Z digest=sha256:a10a92d10dadb946a7118bfeccc44288064759a5d45d2cd3eb4f5535ce165723

Observation 23ae5973-1461-4437-a87b-eaf98dd7b436 · outbound

This paper cites Extractive Schema Linking for Text-to-SQL.

Rationalization Models for Text-to-SQL Extractive Schema Linking for Text-to-SQL

Reference 9

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no resolver link, observed 2026-08-08T14:29:19.351462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.351462Z digest=sha256:32b37e61c70b545e56fd7b607821d1afff2d9b8b63ee3fa78ffe14f7911ccde9

Observation 142a13c7-769e-4418-9142-9fae4c2ecaa8 · outbound

This paper cites Hendrix, Earl D.

Rationalization Models for Text-to-SQL Hendrix, Earl D

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.734433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4f54a5b0-d128-4304-8593-3693c5b9a30b · outbound

This paper cites Large language models can self-improve.

Rationalization Models for Text-to-SQL Large language models can self-improve

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.725471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.358607Z digest=sha256:cf33fe76512585eeebe9fc40b8ba66ff48e09b7eb25c950d8588ce57470f2ecc

Observation 745c8b2e-bb34-4581-9ebd-a0b5c8c781e3 · outbound

This paper cites Large language models are zero-shot reasoners.

Rationalization Models for Text-to-SQL Large language models are zero-shot reasoners

Reference 12

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unresolved
no resolver link, observed 2026-08-08T14:29:19.361882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.361882Z digest=sha256:f5a9ac0bc966c5680f1604f8fa5f4bf02148818ea03dd58be1aa67cb55768912

Observation 79fd8e53-0471-4cdf-877f-36f78f7c867c · outbound

This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

Rationalization Models for Text-to-SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 13

Resolution
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no resolver link, observed 2026-08-08T14:29:19.365305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.365305Z digest=sha256:8b1fd8d8c2672b049a4abca9b0bce0988a54629f168d6bd839c2291d92aac897

Observation 53d9593c-6c46-42f3-a20e-83a04d8f13d1 · outbound

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

Rationalization Models for 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
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.707170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.368455Z digest=sha256:3cbd42178a2311c38dade4a07f373274073fcafa93d673e40eaceca40449ad5b

Observation 10f4e80a-5879-482a-8681-8a645dfdd7ed · outbound

This paper cites Teaching small language models to reason for knowledge-intensive multi-hop question answering.

Rationalization Models for Text-to-SQL Teaching small language models to reason for knowledge-intensive multi-hop question answering

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.696262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.371249Z digest=sha256:6d9776e0a165a36344c5365d92c612c87aa8082b599cd1b6a0fbf4897ce14856

Observation 52500843-d75a-4020-8ab3-994d41c20796 · outbound

This paper cites Let's verify step by step.

Rationalization Models for Text-to-SQL Let's verify step by step

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.685560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.374316Z digest=sha256:f81b79bb0377d23e8ca609097e4c4c49edeeb3f3c08d7752bf616b510903911b

Observation 15d1c6b1-1b01-4a17-b5ce-fd28c53cc221 · outbound

This paper cites Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning.

Rationalization Models for Text-to-SQL Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.675628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.377046Z digest=sha256:6ce6e6521ae65ef68c17ead22399d08cac682972e54970f3d3e6c3860485444d

Observation 0a9b09c7-dda5-4d86-99e4-f940343a35a2 · outbound

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

Rationalization Models for Text-to-SQL The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 18

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unresolved
no resolver link, observed 2026-08-08T14:29:19.379766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.379766Z digest=sha256:39b5171cae0c526eb4eb9fdfea9f70614db4ab489148da260b58aea8c023d6fd

Observation f00c86e4-77b7-45ce-b6f9-062962dd94c6 · outbound

This paper cites Teaching small language models to reason.

Rationalization Models for Text-to-SQL Teaching small language models to reason

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.666061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.383740Z digest=sha256:72817b7175031df1a780617c517728cad2f841b2f5c2047825f544a0cc583eed

Observation 5f16f3b9-9018-4804-b54f-d983a1951b63 · outbound

This paper cites Evaluating cross-domain text-to-sql models and benchmarks.

Rationalization Models for Text-to-SQL Evaluating cross-domain text-to-sql models and benchmarks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.654859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.387304Z digest=sha256:6119fe799b4e5976e6577927b744d6e95100040e73eac54b09751ef65c61893b

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

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

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:aac00ae4c95d9a695c398bc465fafc4f7abc98d0e95b64525c58a9df7aba6007

Observation 2fdf9b98-9351-4f44-b799-8fe5432640f6 · outbound

This paper cites Automatic prompt augmentation and selection with chain-of-thought from labeled data.

Rationalization Models for Text-to-SQL Automatic prompt augmentation and selection with chain-of-thought from labeled data

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.644595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a118cd0-2852-43a3-9687-3fb91b4c7e75 · outbound

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

Rationalization Models for Text-to-SQL CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 23

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no resolver link, observed 2026-08-08T14:29:19.399349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.399349Z digest=sha256:985bd71c89646db4cd94a28a3d3bdc3a35cc44022a4f498cba180eadf73cc66a

Observation 8ce85745-460d-478c-86b1-2d74ce34bc19 · outbound

This paper cites MAC-SQL: A multi-agent collaborative framework for text-to-sql.

Rationalization Models for Text-to-SQL MAC-SQL: A multi-agent collaborative framework for text-to-sql

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:29:19.633311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T14:29:19.402651Z digest=sha256:87af365b77089d8c5dd8c63370eda7b2d36e30698e9493c18a8ac14086367d94

Observation 64f28775-a75d-429c-b8f4-dd32a9f22bad · outbound

This paper cites Chi, Quoc V.

Rationalization Models for Text-to-SQL Chi, Quoc V

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.407015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.407015Z digest=sha256:60839f8ca1dae6b9ae6d3335f737de46c7bc3044adaa89e87fb80a8b6255a9f8

Observation 920660b7-0814-49bf-b1b0-32547d4ecf63 · outbound

This paper cites Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting.

Rationalization Models for Text-to-SQL Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting

Reference 26

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unresolved
no resolver link, observed 2026-08-08T14:29:19.410303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.410303Z digest=sha256:91d25d40f77b2a2433ae1910a8d0523a8e850801430b9dc6ad0f796e4c4734d0

Observation d07ab56d-d845-4839-92a1-621bb44a4fed · outbound

This paper cites an unresolved cited work.

Rationalization Models for Text-to-SQL Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.414292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.414292Z digest=sha256:e28b9cc624149bd375c9bca5b83af7fb137bdd16f42a436ce2ea84c4b77f0fd8

Observation 090fc85c-7f8a-4ba9-8600-3061c3961bfa · outbound

This paper cites write newline.

Rationalization Models for Text-to-SQL write newline

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.418496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.418496Z digest=sha256:2b12e8ee9bf13754ac99685521a2be426b7e8052aefcdc7f7a9877b6b1f8be1a

Observation 44927d03-5656-48df-85e9-339ffe719c8e · outbound

This paper cites @esa (Ref.

Rationalization Models for Text-to-SQL @esa (Ref

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.421965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.421965Z digest=sha256:529ffa7d71d9597919e2129d7898c175be052171462bdf306564e10eebc9eb83

Observation ff857964-a954-4f04-8411-2060af242bd6 · outbound

This paper cites an unresolved cited work.

Rationalization Models for Text-to-SQL Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.426015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.426015Z digest=sha256:b9b355acedc8c19f45bfc59243d440ddc43a9b827e5d06459d724c2e063bf849

Observation 8b30a6d4-c42f-4fb8-8287-7d04da706b19 · outbound

This paper cites distillation.

Rationalization Models for Text-to-SQL distillation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:19.429296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.429296Z digest=sha256:d7970caea9ec9cad322d50b6f1f356762b723629180e71638ebd0386fca93233

Pith citing papers

Observation 17024ee5-7208-497f-8d79-8e615143ad61 · 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 Rationalization Models for Text-to-SQL

Reference 273

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:59.460954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:79edfd0d06b4d5893107c04315175413122d27c0ab006b53380dbfcd540552e8

Observation ae5443cb-d9a2-41ff-8416-acbf7bd59459 · 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 Rationalization Models for Text-to-SQL

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:01:00.094269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:e9ca7c8e2a5d54de44dcd8003d85657f1f95e521b9141bf0ad8ab01283f83c0d