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Paper Citation Record · LEDGER

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2305.13168.

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

pith.paper-citation-record.v1
2305.13168 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:10:18.021518Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:56:11.477245Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 4d43aa47-365b-4988-bcdd-1729269a4079 · inbound

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema cites this paper.

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T23:10:18.021518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:10:18.021518Z digest=sha256:7505ea5bda7bd9fcca8b555656c9be40cac67393663b533bb11cddba1ce05914

Observation fd8f68d1-ee43-4123-a196-9f6676113b39 · 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 LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:36.698912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:16:36.698912Z digest=sha256:a7517542fab3c87d273d7b3372d167a263188caa76a01e40f312753ba9b8e089

Observation 33b079af-acf0-44a1-bbaf-49b741d01647 · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:18.216835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:18.216835Z digest=sha256:929de5378b878bd6efa08405bfe6ed3f3915086d53f776b68f856119245f099b

Observation 7e3457be-12a3-4aaa-a210-8c68fd8deda7 · inbound

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance cites this paper.

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:00.541845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:07:00.541845Z digest=sha256:9ff22f09ae47335ca66d092cb1f39af75a519f4c3774f4ad3535be903c675f4b

Observation 2a68c149-8f2d-4801-85e4-d453068fbb93 · inbound

From Instructions to ODRL Usage Policies: An Ontology Guided Approach cites this paper.

From Instructions to ODRL Usage Policies: An Ontology Guided Approach LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:10:25.038452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:25.038452Z digest=sha256:761cbda65fbf26d6ad871478d87b26c4cf54740c4c0fa5cc7e661b026dc1c392

Observation 7d2d828b-e0b5-4fe4-940e-eeee0b4a6c6f · inbound

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies cites this paper.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T04:48:08.762913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:08.762913Z digest=sha256:2d7f4f4e7540e37d45dd2f81d24cda25999f96b4191f8921a4f255cec157ac3b

Observation a18d6ea3-9aac-41e7-918b-3d89f45749e0 · inbound

Matching Game Preferences Through Dialogical Large Language Models: A Perspective cites this paper.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T13:54:26.920503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:26.920503Z digest=sha256:798c8f05f41c73eb321b537a806c2b663c1e60d4562a2e412b9ed6a81d428965

Observation ae0874d8-7f52-41fe-9dbe-391747a18374 · inbound

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting cites this paper.

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T11:33:13.394943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:33:13.394943Z digest=sha256:2861f5ae909ddce5faf75eebec34baf88fe5573075f74df83d1d404939aace66

Observation 4ded5703-94c0-43f2-b08e-2f194500f96f · inbound

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting cites this paper.

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T11:33:13.398206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:33:13.398206Z digest=sha256:ad61648a0b6ce79b20c8af487d4da38489094e58a1fca0de0fac352ad594ae0f

Observation a7a24259-7744-4e82-a3b1-e4ea495480c9 · inbound

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery cites this paper.

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T18:13:42.141672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:13:42.141672Z digest=sha256:d13322d0966d2069c9fc1eb36b4b78ea3deacf40782c01d3d8bd02e18d6c18d3

Observation cf0aee1d-f9af-4747-b913-ffaf88a53894 · 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 LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.478532Z

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=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:c2f620e5e397828e1d29b2e464dad7ad28a8064e69a19c7d719106f33d8ce677