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Paper Citation Record · LEDGER

The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03339.

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

pith.paper-citation-record.v1
2406.03339 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:36.711089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:08:20.801093Z

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 1ff8eb9d-f76a-4608-b28b-23d02ebc05a6 · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:08:20.804180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:17bb1a5e66bdfb7b2cf25e570455d96b30f8a78ac14cbc0706008da70d30eb9c

Observation e98f262e-e268-422b-ac86-e14a2fcffd03 · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:36.711089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:36.711089Z digest=sha256:d05ff627ee3be8ff4e24b3dd11b9010b182261e8732ba2b53304e20aaf98038b

Observation c037f6c5-9deb-478e-af38-5db6c44f774e · inbound

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks cites this paper.

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:18:27.038772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:18:27.038772Z digest=sha256:ff473ef562ca707fdccc483e664022aaf2d424b19108f57669464b5ca9352445

Observation 7d9f966f-db5e-477e-bfdc-64e97e1d558c · inbound

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments cites this paper.

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:36:50.281139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T20:35:29.338034Z digest=sha256:b3aff4ee3a3bfb2777f8a580e103a946d7b755e638920d3214b9892977bfeea0