Paper Citation Record · LEDGER

Large Language Models and Knowledge Graphs: Opportunities and Challenges

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2308.06374.

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

pith.paper-citation-record.v1
2308.06374 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:37:50.948390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:11:12.517490Z

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 9ab85528-7ed6-44a2-a2dd-cbc4f17e790b · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:21:00.993937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a2d8e65-1b8e-4f20-b2e2-78b420d27783 · inbound

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph cites this paper.

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T10:37:50.948390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6917ad-6204-434b-94eb-52818003a7ea · inbound

K-ON: Stacking Knowledge On the Head Layer of Large Language Model cites this paper.

K-ON: Stacking Knowledge On the Head Layer of Large Language Model Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T16:16:36.625269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cdd1e6d-1348-49c4-8b35-69b2654086b9 · inbound

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models cites this paper.

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:34.798469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ea15aa-7d41-4d89-8142-e70dfddff68e · inbound

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection cites this paper.

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:16.746021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93cfcb7-12ee-402a-ace9-f7f003707705 · inbound

Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance cites this paper.

Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:30.220706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e1db3f-1570-4224-8357-e3c7db599bdf · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:46:35.783085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7b8a569-dabc-402f-8283-6ed16cf0917c · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T22:28:38.702239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2698c83-1ea4-44fd-8783-4fe0bb4b0c61 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.666501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fc29239-1cee-4b96-9855-4826db9b0cb3 · inbound

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs cites this paper.

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:13.461481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ae64503-2bb0-49bd-b1b6-41facd3c9f43 · inbound

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs cites this paper.

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T15:35:24.136861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0606e3e-7f62-437e-9c3d-ee06b19ffa09 · inbound

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems cites this paper.

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:33:08.853778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb717519-97b8-4ecc-a01b-8cc96a7ad9c2 · inbound

Hypergraph as Language cites this paper.

Hypergraph as Language Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:11:12.523710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58fee33a-2860-4b86-b1ab-1f94c1a5f756 · inbound

FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis cites this paper.

FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis Large Language Models and Knowledge Graphs: Opportunities and Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T05:26:05.088219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.