Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T20:26:42.128350Z
Paper Citation Record · LEDGER
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks
As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.04473.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
39 of 39 outbound references displayed
- verified exact6
- verified fuzzy27
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation efe8bd61-f1df-471a-aadd-d80cb4365493 · outbound
This paper cites On the Limitations of Vision-Language Models in Understanding Image Transforms.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks On the Limitations of Vision-Language Models in Understanding Image Transforms
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:55:52.631238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4ebc740-3b9f-49bc-8f6c-e7b9b8cfb57d · outbound
This paper cites In: Proceedings of the IEEE international confer- ence on computer vision.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE international confer- ence on computer vision
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.492782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5313a0bf-3628-4dae-acad-ab1c33c61f9b · outbound
This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T01:52:01.553388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd72d4ef-a157-491e-a9a1-32b1341351e6 · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.502432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba501ef0-15d0-43f7-8db5-9e977e01934d · outbound
This paper cites Advances in neural information processing systems 32(2019).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Advances in neural information processing systems 32(2019)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.489639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e914de77-f439-4790-90f7-f5d68b1d84f0 · outbound
This paper cites SAM 3: Segment Anything with Concepts.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks SAM 3: Segment Anything with Concepts
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T21:55:52.598548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04da5921-1a57-41fd-bd90-4e9615452ef6 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF international conference on computer vision
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.495644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6de5cf50-b901-4cf3-9175-7c11c97e76a0 · outbound
This paper cites See https://vicuna.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks See https://vicuna
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.498715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 53d0f926-60b8-4177-85f5-47de7a482584 · outbound
This paper cites How Robust is Google's Bard to Adversarial Image Attacks?.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks How Robust is Google's Bard to Adversarial Image Attacks?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:55:52.672143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a1d45f1-436e-4a42-a493-87455cc34cbc · outbound
This paper cites Distill6(3), e30 (2021).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Distill6(3), e30 (2021)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.556902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f02b71f-7fef-4ddc-8cbf-dcec57cf09c4 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF international conference on computer vision
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.532863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3dfd729-56bc-4fc7-ab2b-e5660deaf825 · outbound
This paper cites In: International Conference on Learning Represen- tations (2019).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: International Conference on Learning Represen- tations (2019)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.568663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bea6562a-0c9a-4e8e-a1cf-af89ae5a73be · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.572763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b89058a5-bd4b-4cc6-a554-a0ebf5f6718b · outbound
This paper cites Advances in Neural Information Processing Systems35, 29262–29277 (2022).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Advances in Neural Information Processing Systems35, 29262–29277 (2022)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.543885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a9819fe1-d73c-4943-ba76-c671f442ffd7 · outbound
This paper cites In: International conference on machine learning.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: International conference on machine learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.589215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0569cad-285a-49ff-959f-ead1bd7c7e6f · outbound
This paper cites In: International conference on machine learning.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: International conference on machine learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.536422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 35b188a2-bf67-435d-affa-8e8a94f5dff6 · outbound
This paper cites In: The Thirteenth International Conference on Learning Representations.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: The Thirteenth International Conference on Learning Representations
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.584527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f660090-338a-4c39-81aa-031f03dce1b9 · outbound
This paper cites Advances in neural information processing systems36, 34892–34916 (2023).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Advances in neural information processing systems36, 34892–34916 (2023)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.549112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e2f4c631-6b09-4e5e-ae72-a3cd94fa1cab · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.560617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd86b4b7-d13a-44a7-b81a-782c15b19235 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.593403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9df69bec-bde3-4b33-8a69-849040417ee2 · outbound
This paper cites ClipCap: CLIP Prefix for Image Captioning.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks ClipCap: CLIP Prefix for Image Captioning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:55:52.655740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1095e8a4-d54c-40f0-8eb9-268e53c4c98a · outbound
This paper cites In: International conference on machine learning.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: International conference on machine learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.553607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7eb436a9-ad9c-4f9e-b406-8e9b47d19979 · outbound
This paper cites an unresolved cited work.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:30:30.564265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2134f50f-b3fc-47f8-8db4-353e814f6dd9 · outbound
This paper cites In: Forty-first International Conference on Machine Learning Vision-Language Model Evaluation 15.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Forty-first International Conference on Machine Learning Vision-Language Model Evaluation 15
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.528746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 01a34e15-6858-4c41-b62a-07f7f86942ec · outbound
This paper cites In: International Conference on Machine Learning.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: International Conference on Machine Learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.511519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3225f32c-dba2-4cbb-8567-f257e1cee257 · outbound
This paper cites an unresolved cited work.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T01:30:30.525087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e8fd1413-eafd-47a0-b6c3-8e5b9efdab7c · outbound
This paper cites DataBricks (May, 2023) www.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks DataBricks (May, 2023) www
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.515435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a7e33da-a28a-4c72-b3fe-9c75e168f906 · outbound
This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T14:08:37.771343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d04ec15a-d122-4c18-ac53-4c4fe6dc591e · outbound
This paper cites arXiv preprint arXiv:2511.04247 (2025).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks arXiv preprint arXiv:2511.04247 (2025)
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:55:52.604722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation edba0192-fe75-44b3-a647-ab7fc01bf47f · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T21:55:52.619079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d67bf92-5cb4-4edb-9948-6cc3c6d49de4 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.505539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0be954b5-e5ad-4f72-8f49-40004a2e6579 · outbound
This paper cites Advances in neural information processing systems32(2019).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Advances in neural information processing systems32(2019)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.521674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59f7f079-cfb4-45f8-be54-5e4805318be0 · outbound
This paper cites Target: X5.
Reference 33
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T20:30:47.397486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d37bf9d-255e-444f-823f-e80981eab542 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.508558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8ec7da37-a6f4-416c-b4eb-2f22882a10aa · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.539684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0c018309-7c15-43a4-ae02-f8cb71a1da04 · outbound
This paper cites Advances in Neural Information Processing Systems36, 54111–54138 (2023).
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Advances in Neural Information Processing Systems36, 54111–54138 (2023)
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.597098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2c4a8ed0-1635-4b35-ad3a-3e8feb02ff16 · outbound
This paper cites Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:55:52.623591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5838d69c-556f-4f98-a5fc-74bcbb337158 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.576498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 180a22e5-eb2a-4744-b590-7156935c53de · outbound
This paper cites In: Proceedings of the 32nd ACM International Conference on Multimedia.
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks In: Proceedings of the 32nd ACM International Conference on Multimedia
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T01:30:30.580420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.