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Paper Citation Record · LEDGER

Optimizing LLM Queries in Relational Data Analytics Workloads

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:40:21.550360Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T08:20:01.011625Z digest=sha256:520ecf6087357e4f26f4cf7f69afc68e03e83c07bcd907d7785f3b4cdf1a3100

Observation f8b7255a-4157-4c6b-bf0e-3f72ace2a04a · inbound

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation cites this paper.

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation Optimizing LLM Queries in Relational Data Analytics Workloads

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T05:40:21.550360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:40:21.550360Z digest=sha256:962446a0545da72197fa72844bd20733581fac1498e6259f8034cceec30231cc

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.

source=pdf_text observed=2026-08-07T11:20:30.261857Z digest=sha256:c9aa0f5ec8274ebe6c5d8afa630b1a60dce64cc470190592b3dbaf3fd9497de7

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.

source=pdf_text observed=2026-08-05T14:46:05.843608Z digest=sha256:aaa8c7660e1374ae3486e9fbb93257128ee05a8a300b3ae6fed9f74627625f9e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T05:11:46.991452Z digest=sha256:9212b38cbeb5c94480ce08a6a8c4259f9a76ce004445d9d32e8fbb454ff2eec7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T06:53:11.604043Z digest=sha256:1a1d498cd0bddb07f939bd4e1869a161fd830f95bd736d93df9aca4bb168a4fb