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Paper Citation Record · LEDGER

Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.16622.

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

pith.paper-citation-record.v1
2308.16622 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:26.431199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:13:30.299792Z

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 129fa9ac-b17d-49c7-9dec-50ce25afddd1 · inbound

Retrieval-Augmented Generation of Ontologies from Relational Databases cites this paper.

Retrieval-Augmented Generation of Ontologies from Relational Databases Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:26.431199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:26.431199Z digest=sha256:479f4089a99f552ba89e79a8ab18d10a51078637fd7dae2a7403f29de09b2117

Observation b424281b-a063-4232-949d-841fb688cb6f · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.693989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.693989Z digest=sha256:7b557126f92af4941dc1f42fa84e6eded53161bfe2c40818304bb156e44fc831

Observation 43848306-c92c-4faa-bc22-83d988b225eb · inbound

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval cites this paper.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:13:30.302418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T09:08:48.468564Z digest=sha256:f18ab5b8fa4ef0560c5fedee46482c86a9ce18ddae12010124402cadbf0aebcc