Paper Citation Record · LEDGER

Towards Accurate and Efficient Document Analytics with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2405.04674.

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

pith.paper-citation-record.v1
2405.04674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:12:14.275056Z

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

3
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 c487e003-3793-4f85-9ab9-a8c7c5dfa246 · inbound

Variable Extraction for Model Recovery in Scientific Literature cites this paper.

Variable Extraction for Model Recovery in Scientific Literature Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:12:14.275056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c38a4b-88f7-4aa1-a473-cdd3e507ac5e · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:37:22.167884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40a34fe6-b0dc-409a-89f1-b25a4eb2633b · inbound

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

QUEST: Query Optimization in Unstructured Document Analysis Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:17.628444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c62c15-b5b8-48b1-95e8-0fd13de17da5 · inbound

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives cites this paper.

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-05T13:20:39.126104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64ce138-8ba9-4fed-9fac-6138ba2636b7 · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:22.364718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e82b0e74-20d8-452d-aaf8-c355c8caa249 · inbound

Cortex AISQL: A Production SQL Engine for Unstructured Data cites this paper.

Cortex AISQL: A Production SQL Engine for Unstructured Data Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:30:30.042172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b7f2f7a-c932-4024-8353-1e129cb7d1b6 · inbound

MoDora: Tree-Based Semi-Structured Document Analysis System cites this paper.

MoDora: Tree-Based Semi-Structured Document Analysis System Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:10:15.535393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c72f25ba-5dec-4a87-8442-03afdbffdba6 · inbound

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis cites this paper.

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:40:11.747646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea2a0bd8-e22d-442b-81d6-dcec0e90600c · inbound

Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length cites this paper.

Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:13:21.646691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2579cd10-60a5-4b98-888e-3883136bf921 · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.886159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb79dd48-2e05-4563-a9d3-493905998902 · inbound

Semantic Data Processing with Holistic Data Understanding cites this paper.

Semantic Data Processing with Holistic Data Understanding Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:08:09.547282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91c39091-25a2-48c7-943d-3a23656cfc39 · inbound

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis cites this paper.

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:13:09.734925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b7b5bbf-24bf-41b7-8169-1c06603a1f47 · inbound

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis cites this paper.

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T16:53:50.546816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd562d1-3dde-4bf5-903c-a401d0c9ddca · inbound

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

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.452997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74b7c95a-d064-4933-ae8a-b7bf70f17349 · inbound

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

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.542581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1bc9897-b453-4b3e-8177-53b8159a3225 · inbound

Selectivity Estimation for Semantic Filters on Image Data cites this paper.

Selectivity Estimation for Semantic Filters on Image Data Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T04:11:38.064992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f562f80a-1156-4af8-be75-61709b1829ca · inbound

Larch: Learned Query Optimization for Semantic Predicates cites this paper.

Larch: Learned Query Optimization for Semantic Predicates Towards Accurate and Efficient Document Analytics with Large Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:57:26.142949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.