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Paper Citation Record · LEDGER

MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.02055.

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

pith.paper-citation-record.v1
2504.02055 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:52.222355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:00:59.873764Z

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 0cb3811d-7769-432c-89a7-a7091390b315 · inbound

Effectiveness of Prompt Optimization in NL2SQL Systems cites this paper.

Effectiveness of Prompt Optimization in NL2SQL Systems MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:54:52.222355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:52.222355Z digest=sha256:cda51b431e6a229cfa9386bff5cd67be05e3472f5a29676b25b7697ec9b69752

Observation dfab7438-3fa1-471d-a10e-3db1eaa84416 · 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 MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:59.318078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:9fa36db758df4608a5d2808b1ce531c5c71c995730e497c390979a9bcb31a8da

Observation 3c8e5807-2b86-4902-85e0-3ac414f66985 · 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 MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:00:59.878489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:30a7d694c5bf38d42861ef3f3317f76c24c87b3e50fe52295d4a1cc5b2122bd7