Paper Citation Record · LEDGER

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.14913.

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

pith.paper-citation-record.v1
2502.14913 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:51.281585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.706535Z

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 6e9814a6-a1e2-46e3-89ab-72d73a3caf2b · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:51.281585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c889b0a-dee3-4a69-9e4d-d4333eb836e7 · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.724095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e6e07f-9123-4a87-a3e5-df257877c2e6 · inbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:17.666850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288dda90-d08c-4f7f-afa1-90dc06781c4a · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T01:04:46.462210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1642a4-bc6e-4b77-8933-940bc613db71 · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.657975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77170ef6-64de-4d2d-b3d9-a86733a28fdc · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.709068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 479ec218-c5a5-48ea-bda6-3c749186fef9 · 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 OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:25:58.085049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.