Paper Citation Record · LEDGER

CAESURA: Language Models as Multi-Modal Query Planners

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.03424.

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

pith.paper-citation-record.v1
2308.03424 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:25:14.938964Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:30:02.391828Z

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 40284ae9-cb42-4841-b03d-ad954ab92056 · inbound

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows cites this paper.

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows CAESURA: Language Models as Multi-Modal Query Planners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:14.938964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a731a5-d02a-4179-b2a7-ce61cd40a841 · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis CAESURA: Language Models as Multi-Modal Query Planners

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:17.675487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab92933-4320-434b-bd30-a866cd5ac7a5 · inbound

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer cites this paper.

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer CAESURA: Language Models as Multi-Modal Query Planners

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:41.926392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1739f69-2ca6-4f6a-a13e-b5fc8b7a4e29 · inbound

Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics cites this paper.

Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics CAESURA: Language Models as Multi-Modal Query Planners

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:30:02.397662Z

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.