Paper Citation Record · LEDGER

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03227.

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

pith.paper-citation-record.v1
2407.03227 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:43.249447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.474451Z

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 93e373c7-3757-4a31-943a-891e15060aef · 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 Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:43.249447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43b80a8-18cc-4db3-a592-f8f1b6cadf57 · inbound

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer cites this paper.

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:40.714834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd1b25f-7e0e-4a58-b3d4-6e4a3c4d5c80 · 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 Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.864555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5f2f898-5aff-47c1-be2b-47a1c509225c · 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 Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.477892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.