Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:33.996193Z
Paper Citation Record · LEDGER
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.14664.
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
52 of 52 outbound references displayed
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External citation measurements
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Outbound references
Observation 402ee3bc-5141-45f9-b50b-7f9a4e743b95 · outbound
This paper cites write newline.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings write newline
Reference 1
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Source-reported events for the cited work
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Observation 23f0cdb5-65fd-40c7-aa0a-c4ecd99bd1b5 · outbound
This paper cites and Williams, L.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings and Williams, L
Reference 2
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Observation a55e915d-b8b6-451a-b347-1f8be50c3896 · outbound
This paper cites H., Hayawi, H.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings H., Hayawi, H
Reference 3
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Observation 75df0bee-1b96-4469-842e-e185e9d01878 · outbound
This paper cites and Mueller, K.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings and Mueller, K
Reference 4
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Observation de174c9e-c386-4629-bdcd-6a189f8cbe3e · outbound
This paper cites Understanding the source of semantic regularities in word embeddings.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Understanding the source of semantic regularities in word embeddings
Reference 5
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Observation defc6048-01f6-4059-9066-c8738175a726 · outbound
This paper cites Perplexity-free parametric t-sne.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Perplexity-free parametric t-sne
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation b449f63f-b08d-4b27-8c28-763524cf34f0 · outbound
This paper cites A., and Kobak, D.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings A., and Kobak, D
Reference 7
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Source-reported events for the cited work
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Observation 37633d26-6713-493d-ae02-66b017daf0ce · outbound
This paper cites an unresolved cited work.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Unresolved cited work
Reference 8
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Observation 2ad7bd0a-a49c-43d3-988d-140a61fcae1d · outbound
This paper cites Dreamlike photoreal 2.0 - a photorealistic model based on stable diffusion 1.5, 2024.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Dreamlike photoreal 2.0 - a photorealistic model based on stable diffusion 1.5, 2024
Reference 9
- Resolution
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Observation 9596216e-007c-4eae-a970-7c804521539f · outbound
This paper cites and Karpatne, A.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings and Karpatne, A
Reference 10
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Source-reported events for the cited work
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Observation d7aa1caf-2464-4fdb-b688-397d6d5a7f83 · outbound
This paper cites Parametric nonlinear dimensionality reduction using kernel t-sne.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Parametric nonlinear dimensionality reduction using kernel t-sne
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation a13d557f-e35b-4ecf-8678-86411a88a91c · outbound
This paper cites Manifold learning: The price of normalization.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Manifold learning: The price of normalization
Reference 12
- Resolution
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Observation cd74f796-a7e8-48a7-8ae1-580c24624456 · outbound
This paper cites A new supervised t-SNE with dissimilarity measure for effective data visualization and classification.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings A new supervised t-SNE with dissimilarity measure for effective data visualization and classification
Reference 13
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Observation 455ec7c9-ed5e-4473-ad1e-ff2bd0a35e2c · outbound
This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 37e1fc78-a2a7-4ee2-be41-f375f2e0bbcf · outbound
This paper cites and Glass, J.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings and Glass, J
Reference 15
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Observation bbed55b1-050b-4e1c-8f6d-959fb1512f9f · outbound
This paper cites CLIPScore : A reference-free evaluation metric for image captioning.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings CLIPScore : A reference-free evaluation metric for image captioning
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 2ee4a059-ad23-4a65-9e65-2575bce8e329 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a2264ad-584b-48e5-84c7-0f701a0dad0e · outbound
This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Scaling up visual and vision-language representation learning with noisy text supervision
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation a301837e-2b7c-40a3-a915-bb69f9bfadca · outbound
This paper cites a , J., Oja, M., Venna, J., T \.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings a , J., Oja, M., Venna, J., T \
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation f7a5bef0-98ce-4204-954a-376b59e6166f · outbound
This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 20
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Source-reported events for the cited work
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Observation 558c1a42-5670-4b50-9791-8410e705598c · outbound
This paper cites Supervised autoencoders: Improving generalization performance with unsupervised regularizers.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 5107adec-3514-42be-95bd-cd09d0a2218c · outbound
This paper cites Visualizing the loss landscape of neural nets.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Visualizing the loss landscape of neural nets
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation f6b329cd-04d2-4df6-9685-0152a366a09e · outbound
This paper cites W., Zhang, Y., Kwon, Y., Yeung, S., and Zou, J.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings W., Zhang, Y., Kwon, Y., Yeung, S., and Zou, J
Reference 23
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Source-reported events for the cited work
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Observation 852a3596-4981-49c6-bbc8-6c7396b1bace · outbound
This paper cites an unresolved cited work.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Unresolved cited work
Reference 24
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Observation 78fdf392-bc07-4e77-a48d-64d78e723095 · outbound
This paper cites UMAP : Uniform manifold approximation and projection.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings UMAP : Uniform manifold approximation and projection
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 57964b0d-0012-4022-8953-a21e09cef18b · outbound
This paper cites S., and Dean, J.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings S., and Dean, J
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 0996cdae-6c29-4243-b66c-2fb4185cf89d · outbound
This paper cites Assessing single-cell transcriptomic variability through density-preserving data visualization.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Assessing single-cell transcriptomic variability through density-preserving data visualization
Reference 27
- Resolution
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This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al
Reference 28
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Source-reported events for the cited work
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Observation 870b4a72-9552-441f-a19f-33f9f5776f42 · outbound
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 29
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This paper cites High-resolution image synthesis with latent diffusion models.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings High-resolution image synthesis with latent diffusion models
Reference 30
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Unresolved cited work
Reference 31
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Improved techniques for training gans
Reference 32
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Unavailable: canonical work link unavailable.
Observation 684aa8eb-85cb-4b4c-a164-7bcf48ad2a87 · outbound
This paper cites o lkopf, B., Smola, A., and M \.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings o lkopf, B., Smola, A., and M \
Reference 33
- Resolution
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 34
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Unavailable: canonical work link unavailable.
Observation f1e65df2-ffbf-48a7-8590-c008f8e4aaaa · outbound
This paper cites an unresolved cited work.
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Reference 35
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Observation 2d34ceb3-9e95-48d6-b5f4-aec26e8c094c · outbound
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Accelerating t-sne using tree-based algorithms
Reference 36
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings and Hinton, G
Reference 37
- Resolution
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Observation 7da6a86f-d0c3-4be6-aec9-b2954709090a · outbound
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AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings VIS+AI : integrating visualization with artificial intelligence for efficient data analysis
Reference 38
- Resolution
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Observation 3889befb-5ca1-49a2-abbc-590660658e2e · outbound
This paper cites J., Hohman, F., and Chau, D.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings J., Hohman, F., and Chau, D
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation f082dec8-948d-4dbe-9d9c-5c1b42beff01 · outbound
This paper cites J., Montoya, E., Munechika, D., Yang, H., Hoover, B., and Chau, D.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings J., Montoya, E., Munechika, D., Yang, H., Hoover, B., and Chau, D
Reference 40
- Resolution
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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 c8914040-d0a7-47a8-a1dc-8b801d65b783 · outbound
This paper cites Kernel density estimation and its application.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Kernel density estimation and its application
Reference 41
- Resolution
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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 2a59b5b7-6056-479d-b4c2-09d84c536367 · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc2998e1-548d-430b-b02d-98a5920dc1bc · outbound
This paper cites Human preference score: Better aligning text-to-image models with human preference.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Human preference score: Better aligning text-to-image models with human preference
Reference 43
- Resolution
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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 d724cbf1-83be-4c13-9592-cf0acfed818d · outbound
This paper cites Interactive visual cluster analysis by contrastive dimensionality reduction.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Interactive visual cluster analysis by contrastive dimensionality reduction
Reference 44
- Resolution
- verified fuzzy
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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 40ff712c-1628-4b36-a7a0-52fcd407ce7b · outbound
This paper cites L., and Zhu, M.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings L., and Zhu, M
Reference 45
- Resolution
- verified fuzzy
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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 b1dc556b-c580-47fe-a0fe-a18ae09b836e · outbound
This paper cites MSR-VTT : A large video description dataset for bridging video and language.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings MSR-VTT : A large video description dataset for bridging video and language
Reference 46
- Resolution
- verified fuzzy
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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 d5700955-f815-4508-8239-da3fcbf26653 · outbound
This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Imagereward: Learning and evaluating human preferences for text-to-image generation
Reference 47
- Resolution
- verified fuzzy
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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 1395c544-5cd1-4151-8674-ef3ece3282b5 · outbound
This paper cites Generative AI for visualization: State of the art and future directions.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Generative AI for visualization: State of the art and future directions
Reference 48
- Resolution
- verified fuzzy
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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 ebf96ed5-f749-440b-883f-791824591333 · outbound
This paper cites ModalChorus : Visual probing and alignment of multi-modal embeddings via modal fusion map.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings ModalChorus : Visual probing and alignment of multi-modal embeddings via modal fusion map
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:35:34.575340Z
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 886fc4d5-9973-4ac2-97ee-8d0403db8a8a · outbound
This paper cites Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:35:33.823929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34449126-89aa-46d3-8210-309f0f25b36a · outbound
This paper cites Learning multi-dimensional human preference for text-to-image generation.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Learning multi-dimensional human preference for text-to-image generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:35:34.393405Z
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 ed4be2ae-1404-45e7-bffb-5e9b1d8d67be · outbound
This paper cites CodeBERTScore : Evaluating code generation with pretrained models of code.
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings CodeBERTScore : Evaluating code generation with pretrained models of code
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:35:34.247950Z
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.
Pith citing papers
No inbound Pith citation observations are available.