Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:12.848343Z
Paper Citation Record · LEDGER
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2505.19108.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:49:34.944193Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:49:35.067988Z
Reference resolution
25 of 25 outbound references displayed
- verified exact1
- verified fuzzy7
- unresolved16
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6fda5a7b-ca14-443c-ac30-fbdc366efa37 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.192306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b110c16-a547-41f4-aae9-d6ca993aaac0 · outbound
This paper cites In Proceedings of the 62nd Annual Meeting of the As- sociation for Computational Linguistics (Volume 4: Student Research Workshop), pages 186–194.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models In Proceedings of the 62nd Annual Meeting of the As- sociation for Computational Linguistics (Volume 4: Student Research Workshop), pages 186–194
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:15.228842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a9f3a67-360d-4dda-b981-58a46149114d · outbound
This paper cites Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:11.123170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d5fdfad-bafa-4c17-a43f-a22e41a135d7 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:14.953429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30b1c0a2-e6c2-4d49-8788-8614f807ae06 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:11.203840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3430544d-2e91-4c33-ae87-cf0b89de6945 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:11.258737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 033ae6a4-2943-4170-8188-492ca74c5621 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.169789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e8f3a135-7f5b-465c-abdd-74cf0f640fd0 · outbound
This paper cites As shown in Figure 10, these are the pro- vided examples used to construct A and B.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models As shown in Figure 10, these are the pro- vided examples used to construct A and B
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:15.149622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3df35583-1a17-4ea5-93e6-dad2464882fe · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.127659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation abfef1fb-9a92-4121-b83d-9bf77580bea9 · outbound
This paper cites This step ensures that the translations remain faithful to the intended hallucination scenario, avoiding any misinterpretations or errors that arise from language differences.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models This step ensures that the translations remain faithful to the intended hallucination scenario, avoiding any misinterpretations or errors that arise from language differences
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:15.107190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9d567973-da7e-4d85-ae84-10fd5f1a842a · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.085893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4dd46809-22d7-4fd9-a61c-62cc759934fe · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.062342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2846781c-6fd8-44d7-b450-0c35c4c99022 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:15.039393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4948ca81-7830-4cde-9bba-f656f1454a6d · outbound
This paper cites The model selects the correct option from the provided choices.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models The model selects the correct option from the provided choices
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:14.792647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f1f31bcd-ea53-4514-86da-1b6700c25d42 · outbound
This paper cites Non- hallucination.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Non- hallucination
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:14.652705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c3cb7c4-a934-48aa-8454-8959aeaad3ca · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:14.556999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 75a5e0d7-d1e9-429c-ab44-a17deeded646 · outbound
This paper cites table”, “shirt.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models table”, “shirt
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:14.478567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c36a374-9bc9-4105-964c-13e8fc74d439 · outbound
This paper cites What animal is in the box?.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models What animal is in the box?
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:26:14.371588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d4aec503-fa22-4974-b5d8-0c4e1e6178f0 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:14.172694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0db5420a-fee7-49bf-9816-b636351ea0aa · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:13.912626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 916080f8-46db-4f5a-b90e-e26c9b7d0567 · outbound
This paper cites an unresolved cited work.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:26:13.637661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 26b9792f-fb65-405e-81d4-497f671bfa90 · outbound
This paper cites Option. Hallucination Type.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Option. Hallucination Type
Reference 25
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T14:26:13.473469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2b4d59f-c8b3-4dc7-9aa0-5c8a47ca9fa7 · outbound
This paper cites Bei Yan, Jie Zhang, Zheng Yuan, Shiguang Shan, and Xilin Chen.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Bei Yan, Jie Zhang, Zheng Yuan, Shiguang Shan, and Xilin Chen
Reference 2022
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T14:26:13.214256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e11c26c9-39ed-4a2a-a449-7563f9ef7f17 · outbound
This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:11.154669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c577d6a7-7cb0-4457-822f-b225a55695e6 · outbound
This paper cites Hallucination of Multimodal Large Language Models: A Survey.
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models Hallucination of Multimodal Large Language Models: A Survey
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:26:11.006669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation e905d582-7990-4c7a-a245-8611b3d2a1ed · inbound
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models cites this paper.
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:49:35.074557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.