Paper Citation Record · LEDGER

Optimizing LLM Queries in Relational Data Analytics Workloads

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.05821.

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

pith.paper-citation-record.v1
2403.05821 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:30.261857Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:55:10.584776Z

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 e2fe388f-f18b-4bd7-9039-26cb1fcc4d43 · inbound

SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:20:01.136725Z

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 dc9831d2-69bb-420a-bb53-fa0af3891423 · inbound

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge cites this paper.

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:30.261857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516ded99-8d13-404f-9e37-1d55c1474fa0 · inbound

Research Challenges in Relational Database Management Systems for LLM Queries cites this paper.

Research Challenges in Relational Database Management Systems for LLM Queries Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:46:05.843608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811a9bc0-f6e2-4731-97fa-b7f12f6eb0bc · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.432990Z

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 dfd22dd9-3a23-418c-93d0-800b7833c614 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.587838Z

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.