Paper Citation Record · LEDGER

HalluScore: Large Language Model Hallucination Question Answering Benchmark

As of 18 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2605.17007.

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

pith.paper-citation-record.v1
2605.17007 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T20:31:20.017866Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:47:41.319887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:47:41.656143Z

Reference resolution

69 of 69 outbound references displayed

verified exact17
verified fuzzy49
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee1713f0-de1a-4a51-ae93-0f7774c7255f · outbound

This paper cites On faithfulness and factuality in ab- stractive summarization.

HalluScore: Large Language Model Hallucination Question Answering Benchmark On faithfulness and factuality in ab- stractive summarization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.010261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e6f4f07-d000-4691-b095-07c8c1432a89 · outbound

This paper cites A survey on hallucination in large lan- guage models: Principles, taxonomy, challenges, and open questions.

HalluScore: Large Language Model Hallucination Question Answering Benchmark A survey on hallucination in large lan- guage models: Principles, taxonomy, challenges, and open questions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.008460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d517dd1-47c4-4289-adcb-c391a79f178f · outbound

This paper cites Arahallueval: A fine-grained hallucination evaluation framework for arabic llms.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Arahallueval: A fine-grained hallucination evaluation framework for arabic llms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.006561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3bfb508f-7658-48e4-a9fd-daa32f797051 · outbound

This paper cites Survey of hallucination in natural language generation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Survey of hallucination in natural language generation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.004803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 108dd1fb-4c12-4896-ab06-e2f25628da6e · outbound

This paper cites A sur- vey of automatic hallucination evaluation on natural language generation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark A sur- vey of automatic hallucination evaluation on natural language generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.398882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35812170-7057-4218-88ab-839f62a898d6 · outbound

This paper cites Large language models hallucination: A comprehen- sive survey.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Large language models hallucination: A comprehen- sive survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.396206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f77be92e-deb7-487a-b3c0-821ec7192995 · outbound

This paper cites ALLaM: Large Language Models for Arabic and English.

HalluScore: Large Language Model Hallucination Question Answering Benchmark ALLaM: Large Language Models for Arabic and English

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.393536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7008bd6d-bab8-4001-bf65-c191ed138861 · outbound

This paper cites Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.407453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45a8a431-084d-4c3a-ac63-156a3986a408 · outbound

This paper cites Fanar: An Arabic-Centric Multimodal Generative AI Platform.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Fanar: An Arabic-Centric Multimodal Generative AI Platform

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.404492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e68b2474-68db-4288-b396-c2ce47cf277f · outbound

This paper cites A Survey of Large Language Models for Arabic Language and its Dialects.

HalluScore: Large Language Model Hallucination Question Answering Benchmark A Survey of Large Language Models for Arabic Language and its Dialects

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T03:06:11.362819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 088dd01e-ee3d-4d35-a82d-d45eeb4446c8 · outbound

This paper cites Evaluating ara- bic large language models: A survey of bench- marks, methods, and gaps.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Evaluating ara- bic large language models: A survey of bench- marks, methods, and gaps

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.387652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2f8ef85-b251-4744-b345-e0ce56ab6cf1 · outbound

This paper cites Arabic natural language processing: Challenges and solutions.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Arabic natural language processing: Challenges and solutions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.993415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa137c4c-29f5-405b-a223-7f7c7c73a60c · outbound

This paper cites an unresolved cited work.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-19T20:32:45.995389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52f550ee-f6e0-45c0-9f34-c3ea298bd781 · outbound

This paper cites Halwasa: Quantify and analyze halluci- nations in large language models: Arabic as a case study.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Halwasa: Quantify and analyze halluci- nations in large language models: Arabic as a case study

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.991633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8ef8c2d-32c9-4c8d-8b7a-c92dc04dbc7d · outbound

This paper cites HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations.

HalluScore: Large Language Model Hallucination Question Answering Benchmark HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T20:32:45.422579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4284bdd8-4407-484c-9fb7-0cd5b53c122f · outbound

This paper cites Aftina: enhanc- ing stability and preventing hallucination in ai- based islamic fatwa generation using llms and rag.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Aftina: enhanc- ing stability and preventing hallucination in ai- based islamic fatwa generation using llms and rag

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.000676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e66ab6ac-9dcf-47de-a318-875b8627cc5f · outbound

This paper cites Islamiceval2025: The first shared task of capturing llms hallucination in islamic content.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Islamiceval2025: The first shared task of capturing llms hallucination in islamic content

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.987956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e244d198-3317-4186-b063-28b3a535b664 · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T20:32:45.413600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f6835c7-52c9-4767-84e8-c9248efd34ee · outbound

This paper cites Analyzing llm behavior in dialogue sum- marization: Unveiling circumstantial hallucina- tion trends.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Analyzing llm behavior in dialogue sum- marization: Unveiling circumstantial hallucina- tion trends

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.986276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 765d1820-4d41-431a-975f-1118eabfb459 · outbound

This paper cites Evaluating Hallucinations in Chinese Large Language Models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Evaluating Hallucinations in Chinese Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.384974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcce44a8-d1c1-457a-9085-c44a0e70c1d4 · outbound

This paper cites Uhgeval: Benchmarking the hallucina- tion of chinese large language models via uncon- strained generation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Uhgeval: Benchmarking the hallucina- tion of chinese large language models via uncon- strained generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.982696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45e0857c-6403-4820-ae6a-321d78502b29 · outbound

This paper cites C-faith: A chinese fine-grained benchmark for automated halluci- nation evaluation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark C-faith: A chinese fine-grained benchmark for automated halluci- nation evaluation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.980962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e822f75a-c0eb-41d2-83d6-e060f18f6d17 · outbound

This paper cites Retrieve only when it needs: Adap- tive retrieval augmentation for hallucination mitigation in large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Retrieve only when it needs: Adap- tive retrieval augmentation for hallucination mitigation in large language models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.416655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 732f6da4-14ad-472f-b31c-39a3f6efdcf3 · outbound

This paper cites Exploring rag solu- tions to reduce hallucinations in llms.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Exploring rag solu- tions to reduce hallucinations in llms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.984339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32431627-2742-4a0c-8a81-000a72677b30 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Detecting hallucinations in large language models using semantic entropy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.989848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05e7868a-31f7-48fa-8916-8205e410034e · outbound

This paper cites En- hancing uncertainty-based hallucination detec- tion with stronger focus.

HalluScore: Large Language Model Hallucination Question Answering Benchmark En- hancing uncertainty-based hallucination detec- tion with stronger focus

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.002530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb2d3bcd-8392-4535-b3a3-ca96d6c546d0 · outbound

This paper cites Detecting and mitigating hallucinations in machine translation: Model internal workings alone do well, sentence similarity even better.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Detecting and mitigating hallucinations in machine translation: Model internal workings alone do well, sentence similarity even better

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.975266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8485e3d-3a11-4ee5-a43e-0d9518e2f22c · outbound

This paper cites Leveraging graph structures to de- tect hallucinations in large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Leveraging graph structures to de- tect hallucinations in large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.977511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dea6609-a06f-45f6-bf2d-38569e678140 · outbound

This paper cites Halugnn: Hallucination detection in large language models using graph neural network.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Halugnn: Hallucination detection in large language models using graph neural network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.969895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 915cc98f-6616-4985-9cd7-50b99aeb8595 · outbound

This paper cites Hallushift: Measuring distribution shifts towards hallucination detection in llms.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Hallushift: Measuring distribution shifts towards hallucination detection in llms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.024604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 344b517f-b600-4b25-8dd4-66fd0219f26f · outbound

This paper cites Selfcheck- gpt: Zero-resource black-box hallucination de- tection for generative large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Selfcheck- gpt: Zero-resource black-box hallucination de- tection for generative large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.968141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6dcab520-1454-4c62-bed1-9e2c31e52141 · outbound

This paper cites Sac3: reliable hallucination detection in black- box language models via semantic-aware cross- check consistency.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Sac3: reliable hallucination detection in black- box language models via semantic-aware cross- check consistency

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.971702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4bab83ab-45ee-4848-829b-7c2ecc20ba49 · outbound

This paper cites Ai- generated news articles based on large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Ai- generated news articles based on large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.979226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee8fde59-8d33-4e06-a247-8251f52e8388 · outbound

This paper cites Self- expertise: knowledge-based instruction dataset augmentation for a legal expert language model.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Self- expertise: knowledge-based instruction dataset augmentation for a legal expert language model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.966303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fcd387a-6c98-440b-898b-bd3952538b60 · outbound

This paper cites A survey on rag with llms.

HalluScore: Large Language Model Hallucination Question Answering Benchmark A survey on rag with llms

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.973404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9eb4c08a-852f-4144-9344-6876065e7ad8 · outbound

This paper cites Chain- of-thought prompting elicits reasoning in large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Chain- of-thought prompting elicits reasoning in large language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.997193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4bc90e49-ac48-4db5-b679-254a5ab2acd8 · outbound

This paper cites Chain- of-verification reduces hallucination in large lan- guage models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Chain- of-verification reduces hallucination in large lan- guage models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.962495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da7a8fee-6ddd-4625-89c9-ec350d4eaa90 · outbound

This paper cites Mitigating Large Language Model Hallucination with Faithful Finetuning.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.431359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2be840f-0364-4a9b-8c33-d35a1f38f977 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:32:45.419449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80be3781-54ac-46db-9c66-78c9bffd56bc · outbound

This paper cites Feqa: A ques- tion answering evaluation framework for faith- fulness assessment in abstractive summariza- tion.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Feqa: A ques- tion answering evaluation framework for faith- fulness assessment in abstractive summariza- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.960680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3493b1ca-a1f0-4307-b9c2-6b0ae8d5f3a8 · outbound

This paper cites Evaluating the factual consistency of abstractive text summarization.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Evaluating the factual consistency of abstractive text summarization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.964306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9795a8df-c8a7-4829-b5a5-a710bb42fcd2 · outbound

This paper cites Factscore: Fine-grained atomic evalu- ation of factual precision in long form text gen- eration.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Factscore: Fine-grained atomic evalu- ation of factual precision in long form text gen- eration

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:45.998948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cec35b2f-6dfc-457a-8da9-9672e421a43d · outbound

This paper cites How reliable are automatic eval- uation methods for instruction-tuned llms?.

HalluScore: Large Language Model Hallucination Question Answering Benchmark How reliable are automatic eval- uation methods for instruction-tuned llms?

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.012052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8fa316e-4275-4c73-af19-1907bff5e92e · outbound

This paper cites Truthfulqa: Measuring how models mimic human false- hoods.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Truthfulqa: Measuring how models mimic human false- hoods

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.046200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50996ebd-c92f-4f9b-bf00-ef85b2626835 · outbound

This paper cites Freshllms: Refreshing large language models with search engine augmentation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Freshllms: Refreshing large language models with search engine augmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.048077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b55cd7f-f84b-48a9-9cba-e2c77c9beaab · outbound

This paper cites Assessing the factual accuracy of generated text.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Assessing the factual accuracy of generated text

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.037179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f16aa9a-a40c-42ca-84b3-35d368f2d36d · outbound

This paper cites Generativeaiforislamictexts: Theeman framework for mitigating gpt hallucinations.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Generativeaiforislamictexts: Theeman framework for mitigating gpt hallucinations

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.039013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 111d5b67-34b1-4a61-8fed-4a6cfd66c4f5 · outbound

This paper cites Mitigating llm hal- lucinations in quranic content: An agentic ap- proach using deployable language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Mitigating llm hal- lucinations in quranic content: An agentic ap- proach using deployable language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.040806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 112953d5-8999-4a6e-8327-c6b27314b492 · outbound

This paper cites SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration Mistakes.

HalluScore: Large Language Model Hallucination Question Answering Benchmark SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration Mistakes

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.390226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed6af985-1c9e-4b1f-9015-3dbe75261a1c · outbound

This paper cites Halomi: A manually anno- tated benchmark for multilingual hallucination and omission detection in machine translation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Halomi: A manually anno- tated benchmark for multilingual hallucination and omission detection in machine translation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.049786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6ed730fe-c1c8-41ec-81ea-d1f6ad11c87c · outbound

This paper cites Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.428432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a71aa15b-e1ec-4b42-bc2d-a1b438c8d02f · outbound

This paper cites Hot- potqa: A dataset for diverse, explainable multi- hop question answering.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Hot- potqa: A dataset for diverse, explainable multi- hop question answering

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.029774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16475eef-9b6b-49f9-a441-84d848b51268 · outbound

This paper cites Triviaqa: A large scale distantly super- vised challenge dataset for reading comprehen- sion.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Triviaqa: A large scale distantly super- vised challenge dataset for reading comprehen- sion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.031635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52f2babf-f010-475f-a35c-a432d35dbf70 · outbound

This paper cites Medhallu: A comprehen- sive benchmark for detecting medical hallucina- tions in large language models.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Medhallu: A comprehen- sive benchmark for detecting medical hallucina- tions in large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.033725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77476ed3-a272-4f28-b306-c70fd2f09690 · outbound

This paper cites Defan: Definitive answer dataset for llm hallucination evaluation.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Defan: Definitive answer dataset for llm hallucination evaluation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.035447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82dba318-3575-4609-bf53-d8c0cc031e17 · outbound

This paper cites Naseej launches its innovative arabic ai language model “noon.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Naseej launches its innovative arabic ai language model “noon

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.026395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29b5d582-a1e3-40b0-a1d5-a4903d8d0e0a · outbound

This paper cites Introducing claude sonnet 4.5.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Introducing claude sonnet 4.5

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.028020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50ba481a-9c98-4ea7-a466-81b453853f01 · outbound

This paper cites DeepSeek-V3 Technical Report.

HalluScore: Large Language Model Hallucination Question Answering Benchmark DeepSeek-V3 Technical Report

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:32:45.433934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fa784af-b4e4-439f-8aac-f74c763ccd72 · outbound

This paper cites [Online].

HalluScore: Large Language Model Hallucination Question Answering Benchmark [Online]

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.042683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a169845-6b2f-4138-b956-fd2368894682 · outbound

This paper cites GPT-4 Technical Report.

HalluScore: Large Language Model Hallucination Question Answering Benchmark GPT-4 Technical Report

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:32:45.401489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0031f15-fee3-425e-aa18-f2d29992e9be · outbound

This paper cites OpenAI GPT-5 System Card.

HalluScore: Large Language Model Hallucination Question Answering Benchmark OpenAI GPT-5 System Card

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:32:45.425340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 066260b9-1c48-4b2d-869a-edb5f4840def · outbound

This paper cites Llama-4-maverick- 17b-128e-instruct-fp8.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Llama-4-maverick- 17b-128e-instruct-fp8

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.017577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6a81e73-62c6-41fa-ba3e-6c588ff67bca · outbound

This paper cites Qwen3-next- 80b-a3b-instruct.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Qwen3-next- 80b-a3b-instruct

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.019311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc8e0658-9aad-4438-8202-da09e65ad465 · outbound

This paper cites Qwen3-235b-a22b-instruct-2507-fp8.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Qwen3-235b-a22b-instruct-2507-fp8

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.020921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23745810-8085-4d9d-a51b-68c60228742a · outbound

This paper cites System card: Claude opus 4 and claude sonnet 4.

HalluScore: Large Language Model Hallucination Question Answering Benchmark System card: Claude opus 4 and claude sonnet 4

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.013805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f7e693e-a8f3-4b50-b1a6-9efe2974ab9a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

HalluScore: Large Language Model Hallucination Question Answering Benchmark DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:32:45.410606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 833ce9a3-d8ec-4e64-af6d-0e093ef7b48d · outbound

This paper cites Openai o3 and o4-mini system card.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Openai o3 and o4-mini system card

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.015758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ca92cf6-8b2b-4d57-9b75-5b8505d8f55e · outbound

This paper cites The double-edged sword of anthro- pomorphism in llms.

HalluScore: Large Language Model Hallucination Question Answering Benchmark The double-edged sword of anthro- pomorphism in llms

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.022652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb2336b8-516e-4607-a6d2-847058e4d86a · outbound

This paper cites Breaking the illusion: Revisiting llm anthropomorphism.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Breaking the illusion: Revisiting llm anthropomorphism

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T20:32:46.044418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation aa867811-6cb4-460f-a4e5-cced2d308534 · inbound

HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering cites this paper.

HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering HalluScore: Large Language Model Hallucination Question Answering Benchmark

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T01:54:05.218315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376be2f7-2ebf-42f3-a560-69c2d37534d2 · inbound

HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification cites this paper.

HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification HalluScore: Large Language Model Hallucination Question Answering Benchmark

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:47:41.661449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.