Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:41:36.333843Z
Paper Citation Record · LEDGER
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models
As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.18695.
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 2026-08-08T06:32:00.761636+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
26 of 26 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved23
- parse uncertain0
- malformed identifier2
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 499a0d03-0cbb-4a3a-b4b4-7d1f36c4180c · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:33.360162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fc961ab-4d6f-4d86-bfe5-bc02fa66dd53 · outbound
This paper cites Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Reference 2
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-01T14:41:33.468879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b932ffe-8c13-470f-9b2c-b4f25a31e0cb · outbound
This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:33.614837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afc5d027-9e25-4dbf-96fd-bef1bf0fa6cf · outbound
This paper cites In: Inter- national Conference on Learning Representations (ICLR) (2023) 10.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Inter- national Conference on Learning Representations (ICLR) (2023) 10
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:33.793540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31e86758-1ca9-447a-94df-87bfb30e2c22 · outbound
This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: 2009 IEEE Conference on Computer Vision and Pattern Recognition
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:33.904429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39f06603-7987-4a2d-ab46-4a8b0cfd8de2 · outbound
This paper cites an unresolved cited work.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.003927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dee0468-cb48-469b-bc42-f252fc865d09 · outbound
This paper cites In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision (ICCV).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.134215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb15e0fd-0dc7-46b3-9eb8-739994007db0 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.356434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6ff9b86-831f-43dd-bd4c-9d3cd5d5c386 · outbound
This paper cites Advances in Neural Information Processing Systems4(January), 3464–3472 (9 2014),https://arxiv.org/pdf/1409.43274.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Advances in Neural Information Processing Systems4(January), 3464–3472 (9 2014),https://arxiv.org/pdf/1409.43274
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.552535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47f9294a-77f1-4203-9371-721c3239eb62 · outbound
This paper cites In: Proceedings of the 37th International Conference on Machine Learning (ICML).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the 37th International Conference on Machine Learning (ICML)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.613862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79133515-8f59-4d17-aa5a-aa0fd4dd6a61 · outbound
This paper cites In: 2009 IEEE Conference on Com- puter Vision and Pattern Recognition.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: 2009 IEEE Conference on Com- puter Vision and Pattern Recognition
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.702849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb9f654-5d6c-4f79-b32b-322f3b44236b · outbound
This paper cites In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021) 10.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021) 10
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.793265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8c5c0ca-68b2-4e0f-9c45-cad90f9808b2 · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2023) 1, 2, 3, 4, 5, 6, 8.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: International Conference on Learning Representations (ICLR) (2023) 1, 2, 3, 4, 5, 6, 8
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:34.935184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcdce673-1c25-4d29-9b1b-06ec91e25508 · outbound
This paper cites Label-Free Concept Bottleneck Models.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Label-Free Concept Bottleneck Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.060058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e85efa4-b20d-430a-86bc-af1d24e96939 · outbound
This paper cites Learning to Predict Visual Attributes in the Wild.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Learning to Predict Visual Attributes in the Wild
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-01T14:43:34.139610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cff7dbd2-9a97-421f-8375-23efc8120228 · outbound
This paper cites an unresolved cited work.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Unresolved cited work
Reference 16
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-01T14:41:35.252463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb12d479-8354-4756-984e-5039103f85e0 · outbound
This paper cites In: Proceedings of the 38th International Conference on Machine Learning (ICML).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the 38th International Conference on Machine Learning (ICML)
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.461437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca173727-911b-4df9-b7ee-86abb45eae9f · outbound
This paper cites Do ImageNet Classifiers Generalize to ImageNet?.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Do ImageNet Classifiers Generalize to ImageNet?
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.586443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72e9ef73-074b-4e01-aeea-13fedd93663d · outbound
This paper cites Proceedings of the IEEE International Conference on Computer Vision pp.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Proceedings of the IEEE International Conference on Computer Vision pp
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.667741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2aeb972-312f-43d6-93a7-f92304c0f1f7 · outbound
This paper cites com/datasets/kritikseth/fruit- and- vegetable- image- recognition(2020), kaggle 10, 13.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models com/datasets/kritikseth/fruit- and- vegetable- image- recognition(2020), kaggle 10, 13
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.735954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08f88fc6-4b8d-4555-911a-9675cd60435f · outbound
This paper cites K-LITE: Learning Transferable Visual Models with External Knowledge.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models K-LITE: Learning Transferable Visual Models with External Knowledge
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.809205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3dc5619-78ba-471b-a2fe-d3df4c7f2c92 · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.886626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66151ac0-a63a-4e50-b8ed-77201f025e21 · outbound
This paper cites Learning Robust Global Representations by Penalizing Local Predictive Power.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models Learning Robust Global Representations by Penalizing Local Predictive Power
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:35.945242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 992b56b3-64da-4cb3-872a-7f91ac5404f3 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:36.018857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dcb888a-e349-4c8d-8e88-c43b7fc0913a · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:36.198063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c37782b0-8b8d-4e40-9bf6-f5cee1d1703b · outbound
This paper cites {class name}, which is/has/{...} {attribute}.
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models {class name}, which is/has/{...} {attribute}
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:41:36.333843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.