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Paper Citation Record · LEDGER

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.11706.

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

pith.paper-citation-record.v1
2405.11706 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:29:04.548253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:36:36.309492Z

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 9c085ffc-4264-4b6f-85c6-0cc0af50a248 · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:04.548253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:04.548253Z digest=sha256:d9c0ca011e860910f01fff66d0934f85dbb4baa203f2001e5213e00d8362a87d

Observation 3d55ed03-62a3-4e93-ad54-53a2276ce6e4 · inbound

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data cites this paper.

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:37.501666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:37.501666Z digest=sha256:84ed8334cbf4b071e634c3bf55d8a0619d502b92fb3ff239f8ae2c07dcc8264a

Observation 0ba3146e-6375-43ce-a0f7-62e5025f0d0e · inbound

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models cites this paper.

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:14.052337Z

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=2026-05-07T16:44:51.128472Z digest=sha256:74d26ac6298947a6ec1636cbddc6fef9866b2320120df6eeb23c72fa23654a0d

Observation 5b994bf5-42dd-491d-9d1c-09a22352693c · inbound

NeuroSymbolic Robustness Analysis for Discrete Systems with Respect to Transition Deviations cites this paper.

NeuroSymbolic Robustness Analysis for Discrete Systems with Respect to Transition Deviations Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:36:36.311192Z

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=2026-06-28T08:59:00.188684Z digest=sha256:511ee8377782b8dab41be3225e6f66580f05969af4c3666928aedb1d5c2c88d6

Observation 5d46a1ec-3510-4f8d-82d8-c07ad5a9f4a8 · inbound

SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation cites this paper.

SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T02:00:11.832103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:00:11.832103Z digest=sha256:a0936806fddc643cac7fa3b4d971c9e82ed84aa0dd22cedc22a2e5342781e4a8