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Paper Citation Record · LEDGER

Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2306.04136.

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

pith.paper-citation-record.v1
2306.04136 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:32:36.051535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.036644Z

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 3fabddd9-0f41-45c4-96b5-e3922b6d1f36 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.408501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:adc9a061b556d380deb3bf27980068d62a0250fd3c5d4fa3b04c841ae343c1f0

Observation 84dfde5a-98ed-4375-a3e3-f0397501280a · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 267

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.567502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:d914963e788eea83502abe76288679fae318aaeedd91596552fb072ea37ccb63

Observation 08584c20-802a-4012-adf6-134708f6cb82 · 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-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:58.058847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T05:10:57.816312Z digest=sha256:cd929c4547dbbe810421f6dd6181425a093db3f48e37e313ba1045a058e379a2

Observation 7133290d-eb0d-4ac6-aeb5-de0bd6be4522 · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:08:35.544391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:80adaaaf881ba7707f6b5943707f74924e5eaa0db66eade0e653c4e741ba216b

Observation b4f1e999-0603-46cf-a652-ac084054ba62 · inbound

LightRAG: Simple and Fast Retrieval-Augmented Generation cites this paper.

LightRAG: Simple and Fast Retrieval-Augmented Generation Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:59:04.303936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T01:59:04.121183Z digest=sha256:54bb9f15c5d83824b8994523c5b3166f65884fd118e30925437f555e21b63270

Observation 36764449-5d35-42e5-9539-5d5c2b6f2417 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.833629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b27d7298f7cefa9a720a5a6cfcedf8f79fb56ddfb0acef0ad801be4ccd9d317b

Observation b89a4c6e-4478-4f47-9abb-fbcb43e48272 · inbound

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models cites this paper.

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:37:32.003793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:36:06.247071Z digest=sha256:fff3d48af14411e02fa5aebc03a41740c231c82b8fd5d1cd39e1dd8a6bf45770

Observation 15fd7a1e-0ce4-4a6e-8fd5-d05cfae85513 · inbound

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs cites this paper.

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T22:32:36.051535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:32:36.051535Z digest=sha256:5b85d2f6788696d2b361ecf6844e52b9fb6c2d1f40c36f85f8f0f6c645046fe4

Observation c48efe48-3994-4ee2-a9c9-638cea9d91c4 · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.141839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:5f76d5cb7dd981e90341e04f4e49ca7ae91d1b0031b11199cbe2d34c88d348db

Observation 221bff61-11a9-48ca-94fa-787f307592ff · inbound

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation cites this paper.

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:50.578830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:54:50.578830Z digest=sha256:aca5403c17be0cc65a7156feca6e52836258fabada0fc5513e8f701a9658f6ae

Observation e011c67b-d1c8-4440-88bb-d9c598834892 · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:26:47.259090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T19:26:35.001429Z digest=sha256:cc37ad3a94d4b7d53c42273e5103e298a23e1775edc4384f0215e7c08ed75e7e

Observation a0dfec56-55e6-4e2c-895e-9402e03843cb · inbound

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE cites this paper.

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T10:53:13.332667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:53:13.332667Z digest=sha256:a1fda0c821d5166755c5aebbe8e2ffdc2a24b1a409c9343bfa8f97fced967545

Observation d1deffcb-d49d-405f-880b-99f7abdfd26f · inbound

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs cites this paper.

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T19:24:53.021229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:24:53.021229Z digest=sha256:004881327e5306b0f4d0d14f116d82b040f923984242dffab286a4eb7ef83dba

Observation 311cef02-b726-4653-ba49-72492eb3abff · inbound

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning cites this paper.

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:45:29.019457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T07:44:05.582003Z digest=sha256:33b4f465c80eb78ac5e0d8003fd0224fcf4387be247b995b5548eb06af756ecc

Observation ba1b2f36-afd1-4dae-a5b3-b4f47b237221 · 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-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.717580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:cb000b3d3694cebd75874be69739074ac23588e08db8287d84575439bf1b154d

Observation f9db99d5-a75a-4745-867d-3ccf0cdf0609 · inbound

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection cites this paper.

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:16:12.041987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T06:17:03.951243Z digest=sha256:a8d10ee0caeef4415d0f251f16f9e6b0e3516228514cf60c81ea371b1e0c6fd5

Observation a7a1ad2d-40cc-4d9c-98a1-1ab10e76da6c · inbound

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation cites this paper.

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T18:58:53.894346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T18:56:42.603682Z digest=sha256:ef24b7c937a59195dde2a288374a0d7a596978998e83eb4e7fb1a76a92ec17fc

Observation b821aad7-f4f5-424b-bb1c-502dd83d9238 · inbound

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation cites this paper.

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:36:45.038397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:50:34.916332Z digest=sha256:37b83d1e53b7e30e337f9f8652902e0cc180255df242adec8c53aa28f8f9bdc1

Observation 33e5a52f-da22-45a5-ba78-5c45c5cb1505 · inbound

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation cites this paper.

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T00:55:42.900673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:55:42.900673Z digest=sha256:aecd1f028f1693495253ab890b702d084a9c48aab98478a30ac21d6e857c385c