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Paper Citation Record · LEDGER

Enhancing Knowledge Graph Construction Using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.04676.

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

pith.paper-citation-record.v1
2305.04676 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:04:35.359382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:28:00.084656Z

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 b9b029eb-c2be-4f7a-a848-10c65ac1f37f · inbound

From Local to Global: A Graph RAG Approach to Query-Focused Summarization cites this paper.

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Enhancing Knowledge Graph Construction Using Large Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:58.015219Z

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=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:200edac4029af4e2851ed4ffa4b2df95cb04ddf0af64b417713d64ee1c2e269d

Observation 3c0c7924-1f35-41dc-bff5-4bb4286ac2e9 · inbound

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

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models Enhancing Knowledge Graph Construction Using Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:35.359382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:35.359382Z digest=sha256:76f8b15b1c1e93ff7b063212550284b9242fccff93ffe734120cf3566e8fe725

Observation 64925c2f-12be-411e-8f7b-66a6d0eec415 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework Enhancing Knowledge Graph Construction Using Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T13:36:42.957833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:42.957833Z digest=sha256:c3345d14260381521ae39759d995736cdd44673372f86ab14b94b96bad472748

Observation e12217e8-0393-4d66-9bcd-5ae9fb1b3ee6 · inbound

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data cites this paper.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Enhancing Knowledge Graph Construction Using Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:50.125381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:50.125381Z digest=sha256:fa42dba887c557c672c95e267ab43d67d4efbfab37d5cec6c121d55aa1f746e8

Observation 59f946b5-bb7d-48f0-8b0e-0534e23e0a62 · inbound

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method cites this paper.

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method Enhancing Knowledge Graph Construction Using Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:42.264460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:42.264460Z digest=sha256:95a5cee0cfd67e6dec5dae9f68bd55864a52d281189bca300df1a521d297d54d

Observation 19deb4f6-aa32-4dd3-8147-b778009a92f6 · inbound

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

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enhancing Knowledge Graph Construction Using Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:13:30.229466Z

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=sha256:10407e6f702c0cad43069fdeb818dddd9209a61b58abfea3312b9840b9d596f1

Observation 78684fb0-727b-4949-b82f-4acb2851b0b9 · 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 Enhancing Knowledge Graph Construction Using Large Language Models

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.668981Z

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=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:343a346787ca128e60a6d57b91445c85d80e29fe613760b5c0164c3faabfa765

Observation 7d45179f-e0bc-4ea3-a7f2-ad56b23e6e70 · inbound

BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration cites this paper.

BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration Enhancing Knowledge Graph Construction Using Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:28:00.086627Z

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=2026-05-14T21:24:03.980709Z digest=sha256:f75de89c7bc1f7f9ddff445f71d6425ebdcf05d74440897fe2825dccaec15c64