Paper Citation Record · LEDGER

The Unreasonable Effectiveness of LLMs for Query Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.02862.

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

pith.paper-citation-record.v1
2411.02862 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:11.396687Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6bce50bd-572d-47b1-82fc-205be4fe2293 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:11.396687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21fb5635-ca34-4b6e-b8b4-e781f8f9ae6d · inbound

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads cites this paper.

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:39.355965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c8a03e-d41b-4282-a08e-da82b985707c · inbound

Training-Free Query Optimization via LLM-Based Plan Similarity cites this paper.

Training-Free Query Optimization via LLM-Based Plan Similarity The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:03.643816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715947cb-9ca0-454b-b7d5-85e618edc9d2 · inbound

Bootstrapping Learned Cost Models with Synthetic SQL Queries cites this paper.

Bootstrapping Learned Cost Models with Synthetic SQL Queries The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:31:15.074284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64cc63a-ca45-46fd-bf91-664e25284f76 · inbound

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration cites this paper.

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:27.499256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997cfd50-1fb1-4635-91ff-b69d0363385e · inbound

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server cites this paper.

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:53.411501Z

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 f816f4a8-5864-4717-b4ae-1325f38ef73d · inbound

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server cites this paper.

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:33:04.789119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3ab6a1-a08b-40b3-b05c-6c1b9b0d9d00 · inbound

ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling cites this paper.

ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-26T14:59:31.776906Z

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 36b64118-8c54-4601-9108-0fc2aa310f3c · inbound

ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling cites this paper.

ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling The Unreasonable Effectiveness of LLMs for Query Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T17:42:15.731485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.