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Paper Citation Record · LEDGER

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.18846.

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

pith.paper-citation-record.v1
2305.18846 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:19.695991Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:2ecf0e9c7070b68168b2e4bac76c2a757dc2b6dbd6c3597736fd03ab96f1df44

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:851e739c29a4363e93023ac194271fb8e5c01d267f8ac1461a9f0d0525d1927b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:ab118e478836d8a8c17d2b583ce6aeb7df0b394180d0ec1cc9951e8331be8e59

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.

source=pdf_text observed=2026-08-07T12:01:19.695991Z digest=sha256:8b5d20dcaf21c31bc679d6d9a0284a0257cac36fd92efbe2f867a2369fcadb93

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.

source=pdf_text observed=2026-08-07T05:08:24.640255Z digest=sha256:ba0072cf710eb67927b2b3e555c637ff788a58083a2296b59e518c5b8e3a6efe

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.

source=pdf_text observed=2026-08-03T12:04:58.763894Z digest=sha256:54abe3837f2bc2cad83bb1ff1014d0c1da47b3f3e9f2d318f622da30385e0cde

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:17bea7c8fcdd28b374ce1d80a6d86202c55409bba04d2a4c0d3a4ffb32b5df4f