Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T02:16:59.565770Z
Paper Citation Record · LEDGER
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence
As of 2 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2605.08820.
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 2026-08-02T06:30:47.504484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:00:38.961417Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
37 of 37 outbound references displayed
- verified exact2
- verified fuzzy24
- unresolved6
- parse uncertain2
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6f8f9b3e-7206-42b5-9a74-1fe2d5e4f8db · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.172928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 0e7e6283-9e56-45ea-8f45-1f03eee0d1d4 · outbound
This paper cites Advances in neural information processing systems , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Advances in neural information processing systems , volume=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.117695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 3240eee0-8797-403c-af87-32dc2ef7e1b7 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.151906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation cf606109-c724-4203-926c-5adb21780674 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.092269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1e671715-46d0-4a7d-a7dd-edccdd2b4c11 · outbound
This paper cites IEEE Journal of Selected Topics in Signal Processing , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence IEEE Journal of Selected Topics in Signal Processing , volume=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.144558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 896957b1-9d22-43f6-8cfc-451429de77bf · outbound
This paper cites ACM Computing Surveys (CSUR) , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence ACM Computing Surveys (CSUR) , volume=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.107760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ac4eeedb-e0a0-44dc-8d89-f16a337c02e8 · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 7
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-12T23:26:58.138056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ba9c0ea9-a483-4745-b315-5e1eb240b2cf · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.128225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 566aa866-23bb-4262-8dd7-ee4e7a6cee74 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.123407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 24b7db93-1bae-4316-a719-bcdd52d34cd7 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Advances in Neural Information Processing Systems , volume=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.178042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 15ce467d-3c8a-4eaa-9de5-75183d27d45d · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Advances in Neural Information Processing Systems , volume=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.160214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 75868490-18b4-4e79-8087-8634d446b600 · outbound
This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the Computer Vision and Pattern Recognition Conference , pages=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.085785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation c4ebf262-2f41-4a5a-aac0-210bbadd6372 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.097767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b04b35a0-d04a-4830-ab08-104dd1ce04aa · outbound
This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the 33rd ACM International Conference on Multimedia , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.133614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 2c7dfbfe-311c-4106-aea9-425243a9ecc8 · outbound
This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:42:05.356106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation d91b2491-2b00-4312-aeea-ce807507d646 · outbound
This paper cites ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization , url =.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization , url =
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.113509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 58f09acc-4f72-4938-8cae-b058209bd468 · outbound
This paper cites for now , author=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence for now , author=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.240958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 0caebb89-b8cf-4792-8679-812aacc04f7f · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.246440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 114ef81f-4448-449e-a720-af375caaedef · outbound
This paper cites A Sanity Check for AI-generated Image Detection , url =.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence A Sanity Check for AI-generated Image Detection , url =
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.256327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ded0a070-f397-448f-8b43-e19064cbb7ee · outbound
This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the Computer Vision and Pattern Recognition Conference , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.251840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation c93fd8ec-fbfd-42b7-9bb1-0db555755397 · outbound
This paper cites International Conference on Machine Learning , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence International Conference on Machine Learning , pages=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.264101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 0105dd97-3952-4fe3-a7c0-33b0414d84a2 · outbound
This paper cites Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation , url =.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation , url =
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.274691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 78ae2ccc-83c8-4ee0-9276-5b417d29b962 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.215774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 51f2f1f5-3c2a-47ed-b27d-54935c221f6b · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.210518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation d366e48d-d6f4-4036-a7d3-2088fa630a68 · outbound
This paper cites The Fourteenth International Conference on Learning Representations , year=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence The Fourteenth International Conference on Learning Representations , year=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.220064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation de70369a-c181-4ea6-a93b-417955e3e835 · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.224189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 154d07b0-78cf-4bb2-a11a-02e071977dee · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.205104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 67ed8e28-3e23-4ca8-a6c9-e3a820eacd18 · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.187100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ecf3c221-a217-476d-a64c-3fd3d98a3d99 · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 29
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-12T23:26:58.193788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation c41894d6-4718-4be0-93d9-d79cf4dd7680 · outbound
This paper cites Qwen3-VL Technical Report.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Qwen3-VL Technical Report
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:42:05.096121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ba67ac8d-2ef2-47aa-ad9e-35f09c5680a6 · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.200521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 97ae03dc-a0be-434a-9183-adb41ade5b73 · outbound
This paper cites Qwen3.5-Omni Technical Report.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Qwen3.5-Omni Technical Report
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:42:05.258078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 74a79096-673b-426f-a65b-3a9b179e3e5f · outbound
This paper cites an unresolved cited work.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:26:58.230258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 67f0a2d7-0c3d-4f08-9949-85eced2d604e · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.236635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 11cc54ef-270d-4081-a930-cf82e1cd4e21 · outbound
This paper cites Towards generalizable ai-generated image detection via image-adaptive prompt learning.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Towards generalizable ai-generated image detection via image-adaptive prompt learning
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:42:04.908983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 65f25ddc-ebba-41da-a9a3-eb3073c86595 · outbound
This paper cites Prompt- ception: How Sensitive Are Large Multimodal Models to Prompts?.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Prompt- ception: How Sensitive Are Large Multimodal Models to Prompts?
Reference 36
- Resolution
- verified exact
- doi, observed 2026-05-12T02:21:16.126520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 88563827-7d6b-42bc-998e-33d67486b6a8 · outbound
This paper cites Journal of Retailing and Consumer Services , volume=.
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Journal of Retailing and Consumer Services , volume=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:26:58.182757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Pith citing papers
Observation 8a0e2232-574d-4533-80bf-2696043ead79 · inbound
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection cites this paper.
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T11:00:38.961417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.