Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Accurate and Efficient Document Analytics with Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2405.04674.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T16:53:50.546816Z
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 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 2026-08-05T06:32:48.257954+00:00.
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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.