Paper Citation Record · LEDGER

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.08891.

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

pith.paper-citation-record.v1
2306.08891 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:26.853680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.801377Z

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 b02ce75b-77c3-4428-969a-87cecbe6f1d2 · inbound

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL cites this paper.

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:45.211501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a622f8b-7910-413e-9788-08f4809e57dd · inbound

A Plug-and-Play Natural Language Rewriter for Natural Language to SQL cites this paper.

A Plug-and-Play Natural Language Rewriter for Natural Language to SQL Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:02.283225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2529c974-392d-46e6-ab66-a66a30d37a71 · 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 Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:35.738019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb60c517-4d57-4a0b-99ce-9a9392635173 · 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 Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.440524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f104ae8-f745-4a3d-8333-58702b52c8b0 · 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 Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.807394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21dc7ef7-44d7-4f6c-a459-efcf5e0a634b · inbound

SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL cites this paper.

SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:26.853680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.