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Paper Citation Record · LEDGER

Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2308.10168.

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

pith.paper-citation-record.v1
2308.10168 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:29:55.037679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:06:50.438061Z

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 3c8d72ec-19d8-43a9-a350-d4969db2faea · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:21:01.011099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:527ee056629f1462608081a82cee43775d1b411c51be21ca370aff5ca6da7aa0

Observation 6f4afdd9-f1d6-4cc1-b636-5ec756a7330d · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.440450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:6c83814481f5147ce624a91583ae673d3c13cb93a5c7776e91055559a8c416f7

Observation 83fff118-d83c-4b31-83f0-38021169b79a · inbound

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models cites this paper.

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:15:13.348845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T19:15:12.378496Z digest=sha256:7e9f17c4a71b4d99cd420774c1acf92f3883eca233db3e78c34455f6f9e9f6c6

Observation 75789294-62d4-4918-8821-410622741232 · inbound

HalluCana: Fixing LLM Hallucination with A Canary Lookahead cites this paper.

HalluCana: Fixing LLM Hallucination with A Canary Lookahead Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T18:29:55.037679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:29:55.037679Z digest=sha256:dad3bc3584ab448af4eb7faa3eb822fbf529cca6e82dd80fda0cfe98111a7cc7

Observation 933478fd-b74d-4deb-bc67-c93d8d229427 · inbound

Transferable and Forecastable User Targeting Foundation Model cites this paper.

Transferable and Forecastable User Targeting Foundation Model Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:53.357779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:07:53.357779Z digest=sha256:fdddd8d4c5d102d4935091c0cb66bc10c99a6b8cf23061f603d009a5a212abc8

Observation f03fe839-5613-432f-8a38-d672afe20cbb · inbound

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge cites this paper.

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T14:04:26.352155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:04:26.352155Z digest=sha256:248867e60577af81369b5a9fa8b9ac96fc3cbc48ad391623ecd0f1c5e7cdff41

Observation 550c42f2-7140-49fe-bea9-de6241d3e40c · inbound

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge cites this paper.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:55:14.789259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:55:14.789259Z digest=sha256:135a21757f107355ae097b814a94e50e5bf168ce45a22e5e0de0272fd024811f

Observation f4ce76ee-800f-48c7-9d0f-09f92cadfe9f · inbound

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models cites this paper.

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:38.756181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:38.756181Z digest=sha256:acf99c5874f9fc5117a8411f9662a57d73fdbca986004e9e77a77f664e7ad03e

Observation 49b0616a-03c7-4fbe-ac9c-e2961947c7d2 · inbound

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions cites this paper.

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T20:57:29.147864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:57:29.147864Z digest=sha256:5208fc6d5bc09363e9d4b309d4d0cde5bfece1208b42d390704de2da5655a177

Observation e15a96db-a0dd-47b1-8040-42271509d9c0 · inbound

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:42.135251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.135251Z digest=sha256:e6efb1c23448f94b425bfdba45229b762db9d9860ecce0efe392fac6ceff033d

Observation 2393c8eb-35e1-41a8-a53d-83d21a05af4d · inbound

Identifying Origins of Place Names via Retrieval Augmented Generation cites this paper.

Identifying Origins of Place Names via Retrieval Augmented Generation Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:01:09.048504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:01:09.048504Z digest=sha256:8c795cb03992e24c08f16a4c5628efc83d60237f8ee1ba01b95c09f4d157a0a1

Observation aa7816b3-e9ef-409c-b8e4-3ec3f262a682 · 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 Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:51:10.612867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:b4ce379e6666017b9462c61892a0e305c31dacaa3784f118c401614e2f379951

Observation 6d5cbfd1-9b5a-47bb-9620-76afa414a411 · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.912974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:3436d1d21fe7d7b4e11fd0c7c56eb126e0bb022f23745284c1fdde137964e8b8