Paper Citation Record · LEDGER

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

As of 5 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 5 inbound Pith citation observations for arXiv:2603.23085.

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

pith.paper-citation-record.v1
2603.23085 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:53:46.276873Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:30:16.612345Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T01:39:24.015490Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f2ab04b-555e-42a1-9616-4ebc2836031c · outbound

This paper cites Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 1

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Observation 99acd3b7-a3b3-4a10-9ae8-7bb0393371eb · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Training Diffusion Models with Reinforcement Learning

Reference 2

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Observation 4e637633-3e59-4a49-a40f-3ff2fe834393 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence39(15), 15696–15703 (Apr 2025).https://doi.org/10.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Proceedings of the AAAI Conference on Artificial Intelligence39(15), 15696–15703 (Apr 2025).https://doi.org/10

Reference 3

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Unresolved cited work

Reference 4

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 5

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Observation 132a9f25-a378-4549-9a24-228be48bb4f4 · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 6

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Observation 03b5a8ba-28bc-4c4b-b386-0b4fcb708c1b · outbound

This paper cites com / crowsonkb / clip - guided-diffusion(2021).

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models com / crowsonkb / clip - guided-diffusion(2021)

Reference 7

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This paper cites In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T

Reference 8

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Observation a0b91419-55f8-45d3-95cc-7bb4233425b2 · outbound

This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: 2009 IEEE Conference on Computer Vision and Pattern Recognition

Reference 9

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Observation 50257993-8666-4c29-b7f9-bf51f1256a68 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 10

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This paper cites In: 16 Baran, Kandemir, Cinbis Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: 16 Baran, Kandemir, Cinbis Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C

Reference 11

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This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 12

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This paper cites In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 13

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This paper cites In: Moens, M.F., Huang, X., Specia, L., Yih, S.W.t.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Moens, M.F., Huang, X., Specia, L., Yih, S.W.t

Reference 14

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 15

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This paper cites (eds.) Advances in Neu- ral Information Processing Systems.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models (eds.) Advances in Neu- ral Information Processing Systems

Reference 16

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This paper cites In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 17

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This paper cites In: Wallach, H., Larochelle, H., Beygelzimer, A., d�Alché-Buc, F., Fox, E., Garnett, R.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Wallach, H., Larochelle, H., Beygelzimer, A., d�Alché-Buc, F., Fox, E., Garnett, R

Reference 18

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This paper cites In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C

Reference 19

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 20

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Lee, D., Sugiyama, M., Luxburg, U., Guyon, I., Garnett, R

Reference 21

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models net / blog / kl - approx.html(2020)

Reference 22

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Proximal Policy Optimization Algorithms

Reference 23

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This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models

Reference 25

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 26

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016)

Reference 27

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 29

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL

Reference 30

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 31

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G

Reference 32

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 33

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This paper cites Transactions on Machine Learning Research (2022),https:// openreview.net/forum?id=AFDcYJKhND, featured Certification.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Transactions on Machine Learning Research (2022),https:// openreview.net/forum?id=AFDcYJKhND, featured Certification

Reference 34

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C

Reference 35

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning

Reference 36

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This paper cites arXiv e-prints arXiv:2509.22485 (Sep 2025).https://doi.org/10.48550/arXiv.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models arXiv e-prints arXiv:2509.22485 (Sep 2025).https://doi.org/10.48550/arXiv

Reference 37

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When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Fine-Tuning Language Models from Human Preferences

Reference 38

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Pith citing papers

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MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

Reference 69

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MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

Reference 69

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Dynamic Model Merging Made Slim cites this paper.

Dynamic Model Merging Made Slim When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

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MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue cites this paper.

MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

Reference 57

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The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models

Reference 140

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