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Paper Citation Record · LEDGER

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.02240.

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

pith.paper-citation-record.v1
2503.02240 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:52.558650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:49:54.647208Z

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 e65ff170-39a9-4fd2-83e0-1b715d08cd49 · inbound

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration cites this paper.

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T18:14:11.104851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:14:11.104851Z digest=sha256:372652fc82f786e81ee980fd8cb016597452f0273ac20baa7f788cc202d26819

Observation 0ae5f6a0-bac4-475b-a028-c6c8ca7a81a2 · inbound

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning cites this paper.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:52.558650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:54:52.558650Z digest=sha256:74d3e936bc25d8cda3ed89b05bc6a845f41ff84d81dc7d17d675dad901c7fb3c

Observation 621dce57-5b21-4f2e-ac30-15303e259e07 · inbound

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL cites this paper.

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:41.035888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:41.035888Z digest=sha256:6468dba25a54191e4d7d905f4c3c396c0098ee945d3708651577c004d1c393d6

Observation 39be3288-8356-4edd-8142-77f6b2482f93 · inbound

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning cites this paper.

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:50.494602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:29:50.494602Z digest=sha256:ab03be270e3d1cbf1eccecc69f68e381e5d7837fcd952fa8fd0dc36c4cf9921f

Observation c0398d13-79a2-4faa-855f-7e7e34fa247b · inbound

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation cites this paper.

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:37.337497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:37.337497Z digest=sha256:25364542888fb4ec24d9577277d706aa17215b626b4dcee280df608912ec8692

Observation 44088e0f-36b7-4a08-838c-cd43d73ae58e · 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 OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T22:48:35.137217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:48:35.137217Z digest=sha256:4086813a85ab131081b123688ffda2c10500b4bf9c4d52e940710afd8df19fb4

Observation 11b8815b-d93d-4f5e-af4e-fdca3710bff4 · inbound

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints cites this paper.

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:16:15.222357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T16:11:39.112890Z digest=sha256:43d825b4f56876e10aa47411864fb8875b9401acea1515e66daa54e1122c1ae3

Observation 987e14f6-1a06-4b40-b53f-cf934dc05e18 · inbound

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

FINER-SQL: Boosting Small Language Models for Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:01:31.346966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T13:01:51.900431Z digest=sha256:14bd87e6c1fa32d4b5b6d3f95ae766ddbda960adb4f4b1d9b297bd04990cd513

Observation 38bc3d30-472d-4a3f-a16c-8010e4ef9bab · 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 OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:59.147130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:1a89522007905e5dc85304614e071cf5a7a93fc2b8049b9d94f35d06a7888bb0

Observation 07a209de-2b31-4689-84fd-f3dd3db7f969 · 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 OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:00:59.850870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:3065e70fcce16933e392fed2baf9f52c8d3a3d9202cb56b4e6f10080ebc97d3d

Observation 936d187b-ad52-4f5a-a1a7-f73c64c0b093 · 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 OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T03:32:12.294767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T03:31:52.489934Z digest=sha256:ca68a3dbd98d94bd40bec126ec72295c062f40b53bcfa4367e1c4aa83661e108

Observation 56e3c54d-7a8f-47f5-8ef2-0cd015759ec0 · inbound

ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL cites this paper.

ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.921758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T01:12:42.929665Z digest=sha256:b3d85ee5c054097824a780b45d941e33cdf57c10a527f2319201ea9d3e0160f5

Observation d5d63da8-69b2-4f7f-8a52-a614f7f6b718 · inbound

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL cites this paper.

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:05:36.907139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-01T08:57:37.907354Z digest=sha256:b4b3f17664974c0e5d07cb3a90492c5da5bc8baab22ce6d2433b25343a9dd035

Observation 86dcc676-739f-48f3-bbaf-994492ed0d80 · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:49:54.649291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T02:38:20.300232Z digest=sha256:97b05a0f656f8c4267ba9ece9f504f41e6b7ec7d41d639f7a80e7a060e6f445a

Observation c68570da-9166-4237-be50-92f0746f2d1b · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:09.646347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:32:09.646347Z digest=sha256:9de7660f400171cad66925b1455c03d9194a52e36363f04cd4d2210b730f11de

Observation 06c719c4-aa1f-41ca-bea3-cbbd8b93103c · inbound

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL cites this paper.

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-11T23:37:54.128572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:37:54.128572Z digest=sha256:af5a80f509ce7bcae519088b771d7946293a69ff371683406aa10cf010f320f7

Observation 5a484185-eeb2-4f6c-a576-6c614489e649 · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T02:01:52.596738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:01:52.596738Z digest=sha256:2eac3da58b8abbf8ccc517ef1e4a042996f15ef854c05e47e49e04be772d31f6

Observation b172135d-60bc-4f1b-8f5f-bf1c3572f494 · inbound

DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation cites this paper.

DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:28:32.187850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:28:32.187850Z digest=sha256:1016a97f99effeebe621eebf6c3dab73856f9bd94e7f69c70d085b0f468d586b