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Paper Citation Record · LEDGER

Assessing SPARQL capabilities of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.05925.

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

pith.paper-citation-record.v1
2409.05925 v2

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:01:20.250181Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:19:04.461570Z

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 7a43409f-2ae7-4218-9e7b-19e00a007e31 · inbound

Knowledge Conceptualization Impacts RAG Efficacy cites this paper.

Knowledge Conceptualization Impacts RAG Efficacy Assessing SPARQL capabilities of Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:01:20.250181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:01:20.250181Z digest=sha256:368492e3b89f51515d4e9b0856cb321714113680cf0e0183fb384749656be1ac

Observation f1854000-860e-4716-80ca-718ae3801da7 · inbound

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection cites this paper.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Assessing SPARQL capabilities of Large Language Models

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:19:04.632423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:19:01.612942Z digest=sha256:1a4b1619fcc19368ed0c61afb900a4c0adf150a5190d4504689ac6d2c0200f3f

Observation a4c01d1b-f1a4-4c83-89e6-3ba693e2c53e · inbound

MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs cites this paper.

MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs Assessing SPARQL capabilities of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T12:52:53.940248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:52:53.940248Z digest=sha256:a247fd743d8a30346b6eb9521212d609064b3c6ef5062be99e3def600527f14c