Paper Citation Record · LEDGER

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.12975.

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

pith.paper-citation-record.v1
2501.12975 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:40:09.392349Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15fa9b3a-7eaa-4d45-b452-e9e442a5443b · outbound

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

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.340378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da9f60d-ff73-4e2e-b34a-3adec2ec0f74 · outbound

This paper cites A Survey on In-context Learning.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models A Survey on In-context Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.344554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9289ce8-72fb-4181-8d4a-3ff64b1d6337 · outbound

This paper cites Gao, Y ., Xiong, Y ., Gao, X., Jia, K., Pan, J., Bi, Y ., Dai, Y ., Sun, J., Wang, M., and Wang, H.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Gao, Y ., Xiong, Y ., Gao, X., Jia, K., Pan, J., Bi, Y ., Dai, Y ., Sun, J., Wang, M., and Wang, H

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.348776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659bcc24-1057-48b1-a378-43a21bcc63ad · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.352726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b5f089-0863-4120-8b03-72760b7a8ce2 · outbound

This paper cites doi: 10.1145/3703155.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models doi: 10.1145/3703155

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.356950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6592de1-66ad-4bdc-9c27-a63986b4ced5 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.364771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89572614-f4c1-4db0-86e6-4783b6ba3a7a · outbound

This paper cites Small Language Models: Survey, Measurements, and Insights.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Small Language Models: Survey, Measurements, and Insights

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.368585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e53049-a6af-4509-a787-4ef9e04d3c45 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.372674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e023ab7-ff79-4da2-89da-1495394e556b · outbound

This paper cites Generating Benchmarks for Factuality Evaluation of Language Models.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Generating Benchmarks for Factuality Evaluation of Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.376607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e709871-fc63-4101-b293-ecf2ec627b46 · outbound

This paper cites A Survey of Small Language Models.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models A Survey of Small Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.380671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a431e742-8563-47d5-ab8d-2daa168b6991 · outbound

This paper cites FACTOID: FACtual enTailment fOr hallucInation Detection.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models FACTOID: FACtual enTailment fOr hallucInation Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.384433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c711cbc-4cd2-49f6-8a08-597120a21ff5 · outbound

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

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-10T16:40:09.388276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7a8bef-c064-429d-95ab-70410a3a1bfc · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.392349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a2703a-e9dc-4386-87c4-8f8c1c178919 · outbound

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

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.360884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74b7ef8-6a1a-4ddd-b55c-9a1d8f73b4d3 · outbound

This paper cites Language Models are Few-Shot Learners.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.326384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f66010-b418-42cd-8b81-fdaa9f467c28 · outbound

This paper cites Evaluating Hallucinations in Chinese Large Language Models.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models Evaluating Hallucinations in Chinese Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.335541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a44d3d6f-8e05-4c79-89b6-e3062ef48755 · outbound

This paper cites FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:09.331361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.