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Paper Citation Record · LEDGER

Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.18197.

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

pith.paper-citation-record.v1
2501.18197 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:48:30.522136Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:56:35.789168Z

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 74a2f3c1-c7d1-4bc6-9fac-003778be3ee0 · 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 Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T22:48:30.522136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:48:30.522136Z digest=sha256:29890da156ceac573236c43292260ca171e42c48ffac0939fec8153f7f3fa7cb

Observation 98c949f7-8f78-4633-8143-2a17c065cdf4 · inbound

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement cites this paper.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:56:35.848349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T19:00:03.585341Z digest=sha256:e3c7e387bd53393a407142e19b9389f9075f8d1298a737ce7c9fd20b17fa12a9