Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T17:42:47.519295Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2512.08505.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T17:42:47.519295Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T17:21:37.570778Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T00:17:29.054872Z
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Early Estimation of Language to Latent Alignment in Diffusion Models Unresolved cited work
Reference 1
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Early Estimation of Language to Latent Alignment in Diffusion Models Imagen 3
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Early Estimation of Language to Latent Alignment in Diffusion Models Controlling Latent Diffusion Using Latent CLIP
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Early Estimation of Language to Latent Alignment in Diffusion Models Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts
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Early Estimation of Language to Latent Alignment in Diffusion Models Prompt tuning inversion for text-driven image editing using diffusion models
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Early Estimation of Language to Latent Alignment in Diffusion Models Scaling rec- tified flow transformers for high-resolution image synthesis
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Early Estimation of Language to Latent Alignment in Diffusion Models W AFFLE: multimodal floorplan understand- ing in the wild
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Early Estimation of Language to Latent Alignment in Diffusion Models A large scale analysis of gender biases in text- to-image generative models.CoRR, abs/2503.23398, 2025
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Early Estimation of Language to Latent Alignment in Diffusion Models Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
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Early Estimation of Language to Latent Alignment in Diffusion Models Clipscore: A reference-free evaluation met- ric for image captioning
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Early Estimation of Language to Latent Alignment in Diffusion Models T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
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Early Estimation of Language to Latent Alignment in Diffusion Models Vi- sual hallucinations of multi-modal large language models
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Observation c3f43404-8aa9-42c4-824a-42c258e14c35 · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models Perceiver: General perception with iterative attention
Reference 20
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Observation 8e18b373-1a08-4bbd-ad84-10ff5e7d8a89 · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models Gemma 3 Technical Report
Reference 21
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Early Estimation of Language to Latent Alignment in Diffusion Models Auto-encoding varia- tional bayes, 2022
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Early Estimation of Language to Latent Alignment in Diffusion Models Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 23
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Early Estimation of Language to Latent Alignment in Diffusion Models Crowdclip: Unsupervised crowd counting via vision-language model
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Observation 231b8c3b-48fd-44cd-9ec0-42b48704ff58 · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models Evaluating text-to-visual generation with image-to-text gen- eration
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Early Estimation of Language to Latent Alignment in Diffusion Models Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024
Reference 27
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Early Estimation of Language to Latent Alignment in Diffusion Models Jaakkola, Xuhui Jia, and Saining Xie
Reference 28
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Early Estimation of Language to Latent Alignment in Diffusion Models Teaching CLIP to count to ten
Reference 29
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Observation f3c69b6a-0519-4606-97e1-64f34e41531f · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models Dynamic classifier-free diffusion guidance via online feedback.CoRR, abs/2509.16131, 2025
Reference 30
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Early Estimation of Language to Latent Alignment in Diffusion Models Know ”no” better: A data- driven approach for enhancing negation awareness in clip
Reference 31
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Early Estimation of Language to Latent Alignment in Diffusion Models Understanding the latent space of dif- fusion models through the lens of riemannian geometry
Reference 32
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Observation 0763b12a-7f0c-4064-8b3a-7ed3b413be86 · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models Scalable diffusion models with transformers
Reference 33
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Early Estimation of Language to Latent Alignment in Diffusion Models Seeing what mat- ters: Empowering CLIP with patch generation-to-selection
Reference 34
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Reference 35
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Reference 36
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Reference 37
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Early Estimation of Language to Latent Alignment in Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 38
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Early Estimation of Language to Latent Alignment in Diffusion Models Contrastive sequential-diffusion learn- ing: Non-linear and multi-scene instructional video synthe- sis
Reference 39
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Early Estimation of Language to Latent Alignment in Diffusion Models High-resolution image syn- thesis with latent diffusion models
Reference 40
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Reference 41
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Reference 42
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Early Estimation of Language to Latent Alignment in Diffusion Models Fast high- resolution image synthesis with latent adversarial diffusion distillation
Reference 43
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Early Estimation of Language to Latent Alignment in Diffusion Models Proposalclip: Unsupervised open-category object proposal generation via exploiting CLIP cues
Reference 44
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Reference 45
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Early Estimation of Language to Latent Alignment in Diffusion Models Representation Learning with Contrastive Predictive Coding
Reference 46
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Reference 47
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Early Estimation of Language to Latent Alignment in Diffusion Models Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, and Yogesh Balaji
Reference 48
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Observation 88f45ffb-8ef8-4d48-a899-14bb0e583a1a · outbound
Early Estimation of Language to Latent Alignment in Diffusion Models DIRE for diffusion-generated image detection
Reference 49
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Early Estimation of Language to Latent Alignment in Diffusion Models Show-o: One single transformer to unify multimodal understanding and generation
Reference 50
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Early Estimation of Language to Latent Alignment in Diffusion Models Good seed makes a good crop: Discovering secret seeds in text-to- image diffusion models
Reference 51
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Early Estimation of Language to Latent Alignment in Diffusion Models Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
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Observation 922598df-8391-4fd1-abde-aab6b70b7716 · outbound
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Reference 53
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Early Estimation of Language to Latent Alignment in Diffusion Models What you see is what you read? improving text- image alignment evaluation
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Early Estimation of Language to Latent Alignment in Diffusion Models Sigmoid loss for language image pre-training
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Reference 58
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Early Estimation of Language to Latent Alignment in Diffusion Models Dis- tinctive image captioning via CLIP guided group optimiza- tion
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Early Estimation of Language to Latent Alignment in Diffusion Models Investigating and mitigating the multimodal hallucination snowballing in large vision-language models
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Reference 61
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Early Estimation of Language to Latent Alignment in Diffusion Models This modification should render that specific aspect non-factual or illogical within the context of the original sentence
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