Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.18846.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:39:40.986387Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T05:13:56.850911Z
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 13e48240-2866-4963-b696-ff3e461607e1 · inbound
Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.
Retrieval-Augmented Generation for Large Language Models: A Survey Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:13:56.854155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 218c3d68-19f2-4929-ba35-94f205fa4d9f · inbound
A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.
A Survey on Retrieval-Augmented Text Generation for Large Language Models Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:15:55.355697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7498b639-0275-463b-b22f-77c62c21110c · 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 Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:10:57.943206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 67aa54a7-d95f-4eaa-a627-9983bd6e1a32 · inbound
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models cites this paper.
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:39:40.986387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9645ffed-22b9-4f98-b3fe-52f3411ed888 · inbound
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:56:16.805066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cae1568-03f0-4948-a63a-212fb0fa5e7f · inbound
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy cites this paper.
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:01:19.695991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f0e8aea-ccd5-412a-9e33-c2153fd569b7 · inbound
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery cites this paper.
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:08:24.640255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fda7761-7ac3-48d4-b355-a674672ae489 · inbound
BioPIE: A Biomedical Protocol Information Extraction Dataset for Experiment Understanding cites this paper.
BioPIE: A Biomedical Protocol Information Extraction Dataset for Experiment Understanding Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:04:58.763894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f551890-b2cf-4fa8-ba92-21374dc1fde8 · 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 Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Reference 91
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:56:11.491219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.