Paper Citation Record · LEDGER

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.13940.

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

pith.paper-citation-record.v1
2404.13940 v3

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:11:38.392931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:27:48.171500Z

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 05b795dd-6398-42c5-8ef1-d6ee1766a317 · inbound

Leveraging LLMs to Evaluate Usefulness of Document cites this paper.

Leveraging LLMs to Evaluate Usefulness of Document A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:38.392931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0a90b5-20ac-4025-ac26-bc4addbb0079 · inbound

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild cites this paper.

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:27:48.173597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d22644b1-50e0-4718-b545-2fc7838cef69 · inbound

Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding cites this paper.

Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.293206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b019a03-44b0-4c35-8627-7818600c40e1 · inbound

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation cites this paper.

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:28.364834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.