Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-07T17:54:09.140773Z
Paper Citation Record · LEDGER
Steering Optimisation Trajectories in Diffusion Representation Learning
As of 17 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:2607.05319.
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 2026-08-16T06:30:59.297886+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
95 of 95 outbound references displayed
- verified exact32
- verified fuzzy57
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 024fdea8-18bf-4f4c-ad39-026c9bb9ae3f · outbound
This paper cites Rezero is all you need: Fast convergence at large depth.
Steering Optimisation Trajectories in Diffusion Representation Learning Rezero is all you need: Fast convergence at large depth
Reference 1
- Resolution
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Observation 4e619a42-5605-4627-89c8-4e1a41ea4f0c · outbound
This paper cites Representation learning: A review and new perspectives.
Steering Optimisation Trajectories in Diffusion Representation Learning Representation learning: A review and new perspectives
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation f2406ba8-47a3-4212-a5f8-8a60ffd08350 · outbound
This paper cites Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius V on Kügelgen, and Wieland Brendel.
Steering Optimisation Trajectories in Diffusion Representation Learning Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius V on Kügelgen, and Wieland Brendel
Reference 3
- Resolution
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Observation 174ca791-b3bb-48c0-89c7-2d7f83360673 · outbound
This paper cites Interaction Asymmetry: A General Principle for Learning Composable Abstractions.
Steering Optimisation Trajectories in Diffusion Representation Learning Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Reference 4
- Resolution
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Observation e44a522e-06b1-4410-8bef-77f3c443a5e6 · outbound
This paper cites Understanding disentangling in $\beta$-VAE.
Steering Optimisation Trajectories in Diffusion Representation Learning Understanding disentangling in $\beta$-VAE
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation d72e55fe-642b-4f55-ba72-e88736b3d687 · outbound
This paper cites MONet: Unsupervised Scene Decomposition and Representation.
Steering Optimisation Trajectories in Diffusion Representation Learning MONet: Unsupervised Scene Decomposition and Representation
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 4e6df1f1-baa2-470f-a1c4-a2cf41d751e0 · outbound
This paper cites RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.
Steering Optimisation Trajectories in Diffusion Representation Learning RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Reference 7
- Resolution
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Observation 61672977-f633-4bef-ac1c-b6956139044c · outbound
This paper cites Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation b934f9fc-4220-4afc-b0ff-6040be4e2a1a · outbound
This paper cites Towards stabilized and efficient diffusion transformers through long-skip-connections with spectral constraints.
Steering Optimisation Trajectories in Diffusion Representation Learning Towards stabilized and efficient diffusion transformers through long-skip-connections with spectral constraints
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 73a09c8a-4291-4939-9476-da8eea5a3c36 · outbound
This paper cites Isolating sources of disentanglement in variational autoencoders.
Steering Optimisation Trajectories in Diffusion Representation Learning Isolating sources of disentanglement in variational autoencoders
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd4334f6-67f9-4aef-8834-18fdad19b943 · outbound
This paper cites On the Importance of Noise Scheduling for Diffusion Models.
Steering Optimisation Trajectories in Diffusion Representation Learning On the Importance of Noise Scheduling for Diffusion Models
Reference 11
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation f311d332-59fe-4fda-8046-1c25f5a183d8 · outbound
This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.
Steering Optimisation Trajectories in Diffusion Representation Learning Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation df7ccafd-69ae-4038-9b0b-35654b1aa2f4 · outbound
This paper cites Disentangled Representation Learning via Flow Matching.
Steering Optimisation Trajectories in Diffusion Representation Learning Disentangled Representation Learning via Flow Matching
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation aaecf261-e93a-463a-917a-f84147d07d52 · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
Steering Optimisation Trajectories in Diffusion Representation Learning Generating Long Sequences with Sparse Transformers
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation a7c6252f-8e66-4438-a436-cebc733d7b43 · outbound
This paper cites Perception prioritized training of diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Perception prioritized training of diffusion models
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 00742720-91f3-4904-9537-ca153b1fb368 · outbound
This paper cites Building machines that learn and think with people.
Steering Optimisation Trajectories in Diffusion Representation Learning Building machines that learn and think with people
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 6897e83a-3d76-44cd-93ae-71e81b365a21 · outbound
This paper cites an unresolved cited work.
Steering Optimisation Trajectories in Diffusion Representation Learning Unresolved cited work
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation efc50de7-96b4-401f-8752-dd0468465d50 · outbound
This paper cites GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.
Steering Optimisation Trajectories in Diffusion Representation Learning GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 71f03a2e-6da4-45c4-86bd-e5265df08402 · outbound
This paper cites Taming transformers for high-resolution image synthesis.
Steering Optimisation Trajectories in Diffusion Representation Learning Taming transformers for high-resolution image synthesis
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 053f425c-1530-4b27-85c5-1d7b68d0586e · outbound
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Steering Optimisation Trajectories in Diffusion Representation Learning Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation db3b8cac-fa19-486e-9117-45c305d9c328 · outbound
This paper cites On the transfer of inductive bias from simulation to the real world: a new disen- tanglement dataset.
Steering Optimisation Trajectories in Diffusion Representation Learning On the transfer of inductive bias from simulation to the real world: a new disen- tanglement dataset
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation b0d157cf-9e2b-4f71-9bbc-be1e5f66ad6f · outbound
This paper cites Multi-object repre- sentation learning with iterative variational inference.
Steering Optimisation Trajectories in Diffusion Representation Learning Multi-object repre- sentation learning with iterative variational inference
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 83744c04-96fa-4deb-8fc0-7da857f4fa0c · outbound
This paper cites Efficient diffusion training via min-snr weighting strategy.
Steering Optimisation Trajectories in Diffusion Representation Learning Efficient diffusion training via min-snr weighting strategy
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 232f7a6b-9229-4cd7-b003-9c09fb6761f3 · outbound
This paper cites Unified latents (ul): How to train your latents.
Steering Optimisation Trajectories in Diffusion Representation Learning Unified latents (ul): How to train your latents
Reference 24
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 4e33d1b5-fae8-490a-be9b-bdcf778b5c79 · outbound
This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.
Steering Optimisation Trajectories in Diffusion Representation Learning Prompt-to-Prompt Image Editing with Cross Attention Control
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 9a1fef3a-7403-4faf-bdc9-2c8d6e99c58e · outbound
This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework.
Steering Optimisation Trajectories in Diffusion Representation Learning beta-V AE: Learning basic visual concepts with a constrained variational framework
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 7127c59b-d6a6-497b-8bc3-b1d3f892f6df · outbound
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Steering Optimisation Trajectories in Diffusion Representation Learning Unresolved cited work
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation a41f3242-0f6f-4500-923a-c2e31c3b7a55 · outbound
This paper cites Denoising diffusion probabilistic models.
Steering Optimisation Trajectories in Diffusion Representation Learning Denoising diffusion probabilistic models
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 977115df-8c4d-4432-a7d7-c55b5493ba5c · outbound
This paper cites simple diffusion: End-to-end diffusion for high resolution images.
Steering Optimisation Trajectories in Diffusion Representation Learning simple diffusion: End-to-end diffusion for high resolution images
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation cccc7ebf-e69d-4c89-bf76-89f0dac1663a · outbound
This paper cites Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.
Steering Optimisation Trajectories in Diffusion Representation Learning Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Reference 30
- Resolution
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Observation 1db3ed77-8423-453e-b4ef-c98d9adacf20 · outbound
This paper cites Comparing partitions.
Steering Optimisation Trajectories in Diffusion Representation Learning Comparing partitions
Reference 31
- Resolution
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Observation 77921ac0-91f8-4380-9915-f92e5f0ed352 · outbound
This paper cites Soda: Bottleneck diffusion models for representation learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Soda: Bottleneck diffusion models for representation learning
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation fd3c8af0-0d63-4174-b54d-0e416b751d43 · outbound
This paper cites Object-Centric Slot Diffusion.
Steering Optimisation Trajectories in Diffusion Representation Learning Object-Centric Slot Diffusion
Reference 33
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3285b1e5-8c26-4bc2-bcc2-f6b643c91cc9 · outbound
This paper cites Disentangling disentangled representations: Towards improved latent units via diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Disentangling disentangled representations: Towards improved latent units via diffusion models
Reference 34
- Resolution
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Observation f23e17c7-5337-4469-9cc5-9ddf22db24f1 · outbound
This paper cites Learning to compose: Improving object centric learning by injecting compositionality.
Steering Optimisation Trajectories in Diffusion Representation Learning Learning to compose: Improving object centric learning by injecting compositionality
Reference 35
- Resolution
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Observation 9e5d6abd-6a49-4f90-a5cf-9ffc7a144dc5 · outbound
This paper cites Disentangled representation learning via modular compositional bias.
Steering Optimisation Trajectories in Diffusion Representation Learning Disentangled representation learning via modular compositional bias
Reference 36
- Resolution
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Observation cfe077f5-0168-4192-9342-4a650b12e350 · outbound
This paper cites ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.
Steering Optimisation Trajectories in Diffusion Representation Learning ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Reference 37
- Resolution
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Observation f7cf1494-275a-48a0-83d1-6370da04ed56 · outbound
This paper cites Elucidating the design space of diffusion-based generative models.
Steering Optimisation Trajectories in Diffusion Representation Learning Elucidating the design space of diffusion-based generative models
Reference 38
- Resolution
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Observation b19aeb88-ec70-4204-9606-f99d989b0d66 · outbound
This paper cites DiffusionSat: A Generative Foundation Model for Satellite Imagery.
Steering Optimisation Trajectories in Diffusion Representation Learning DiffusionSat: A Generative Foundation Model for Satellite Imagery
Reference 39
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation bcbab0ab-886e-4623-a544-9056ae5902b7 · outbound
This paper cites Disentangling by factorising.
Steering Optimisation Trajectories in Diffusion Representation Learning Disentangling by factorising
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c00b3a9-651a-49f3-9db4-4d5e064c4fe2 · outbound
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Steering Optimisation Trajectories in Diffusion Representation Learning Denoising task difficulty- based curriculum for training diffusion models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.064217Z
Source-reported events for the cited work
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Observation 012be067-4dd4-448d-8cc7-d0b60e0a2657 · outbound
This paper cites Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T.
Steering Optimisation Trajectories in Diffusion Representation Learning Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation b00ad3b6-f4e3-424e-b4d5-6c78dba86039 · outbound
This paper cites Understanding diffusion objectives as the elbo with simple data augmentation.
Steering Optimisation Trajectories in Diffusion Representation Learning Understanding diffusion objectives as the elbo with simple data augmentation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.057306Z
Source-reported events for the cited work
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Observation 34aa4697-fa34-4405-be9e-fc553c6b7780 · outbound
This paper cites Variational diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Variational diffusion models
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 5a574eab-a4e3-4e54-9e0e-cc1520298484 · outbound
This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.
Steering Optimisation Trajectories in Diffusion Representation Learning FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
Reference 45
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6687e6c8-5ea3-4eda-97d4-727918db02b0 · outbound
This paper cites Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers.
Steering Optimisation Trajectories in Diffusion Representation Learning Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers
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 2026-08-16T06:30:59.297886+00:00.
Observation 93e5497b-56b7-4405-95c4-065f2d76876d · outbound
This paper cites Back to Basics: Let Denoising Generative Models Denoise.
Steering Optimisation Trajectories in Diffusion Representation Learning Back to Basics: Let Denoising Generative Models Denoise
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.503653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97004347-88dd-4d4d-a269-9873c235e63d · outbound
This paper cites Understand- ing representation dynamics of diffusion models via low-dimensional modeling.
Steering Optimisation Trajectories in Diffusion Representation Learning Understand- ing representation dynamics of diffusion models via low-dimensional modeling
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T18:04:00.551608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8b824e02-93d7-4bce-8caf-58427ac007a9 · outbound
This paper cites Flow Matching for Generative Modeling.
Steering Optimisation Trajectories in Diffusion Representation Learning Flow Matching for Generative Modeling
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.521405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4fc5ad68-dcf1-414b-a1bd-ec863c6e63f0 · outbound
This paper cites Faster Diffusion via Temporal Attention Decomposition.
Steering Optimisation Trajectories in Diffusion Representation Learning Faster Diffusion via Temporal Attention Decomposition
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.518677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3171119a-94c0-4dec-8bf1-b8ff64d2e7f5 · outbound
This paper cites Metaslot: Break through the fixed number of slots in object-centric learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Metaslot: Break through the fixed number of slots in object-centric learning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T18:04:00.535462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a9db000-f757-4c6c-9501-a0d548929632 · outbound
This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations.
Steering Optimisation Trajectories in Diffusion Representation Learning Challenging common assumptions in the unsupervised learning of disentangled representations
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.076829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c9a8bdf-8848-4d6e-bd72-80291bc12c29 · outbound
This paper cites Object-centric learning with slot attention.
Steering Optimisation Trajectories in Diffusion Representation Learning Object-centric learning with slot attention
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.035730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6a52c363-3f14-479b-9eda-df2aa5c870e6 · outbound
This paper cites The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.
Steering Optimisation Trajectories in Diffusion Representation Learning The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.585860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a950b1b4-b178-4c62-9ad8-f99684974102 · outbound
This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.
Steering Optimisation Trajectories in Diffusion Representation Learning Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.048053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86be7f4a-b53f-4f0a-8c20-58bdb41a2aa5 · outbound
This paper cites Improved denoising diffusion probabilistic models.
Steering Optimisation Trajectories in Diffusion Representation Learning Improved denoising diffusion probabilistic models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.030578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 617c2141-d666-4d24-9fa2-5bbd9c4f8165 · outbound
This paper cites Compositional abilities emerge multiplicatively: Exploring diffusion models on a synthetic task.
Steering Optimisation Trajectories in Diffusion Representation Learning Compositional abilities emerge multiplicatively: Exploring diffusion models on a synthetic task
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.028905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5cad4b2a-c550-4926-8d84-3c7398308290 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Steering Optimisation Trajectories in Diffusion Representation Learning DINOv2: Learning Robust Visual Features without Supervision
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.574699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5326fe4-1563-43b7-872f-ed00ee5b0ae7 · outbound
This paper cites Scikit- learn: Machine learning in python.
Steering Optimisation Trajectories in Diffusion Representation Learning Scikit- learn: Machine learning in python
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.992131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 906cf5a1-4ac0-42bf-9ac3-dc59e8549b08 · outbound
This paper cites Scalable diffusion models with transformers.
Steering Optimisation Trajectories in Diffusion Representation Learning Scalable diffusion models with transformers
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.988308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8460b9c1-eaa5-4b71-b0ab-1cf28c4753f1 · outbound
This paper cites Film: Visual reasoning with a general conditioning layer.
Steering Optimisation Trajectories in Diffusion Representation Learning Film: Visual reasoning with a general conditioning layer
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.037516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6dc3b331-625b-4fd5-8419-2394a6d2ed26 · outbound
This paper cites The logical primitives of thought: Empirical foundations for compositional cognitive models.
Steering Optimisation Trajectories in Diffusion Representation Learning The logical primitives of thought: Empirical foundations for compositional cognitive models
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.012533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5475ba0-9405-4ce4-9b12-1e6b2badceb5 · outbound
This paper cites Diffusion autoencoders: Toward a meaningful and decodable representation.
Steering Optimisation Trajectories in Diffusion Representation Learning Diffusion autoencoders: Toward a meaningful and decodable representation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.040945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 93a08c0e-155d-4117-823d-aecb6ce0b28a · outbound
This paper cites an unresolved cited work.
Steering Optimisation Trajectories in Diffusion Representation Learning Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-07-07T18:04:01.042770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc6d13a5-0575-4e0a-9b87-1dbaedc846cf · outbound
This paper cites Deep visual analogy- making.
Steering Optimisation Trajectories in Diffusion Representation Learning Deep visual analogy- making
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.999233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdca0c91-15b7-4b2a-98e0-2570217371fc · outbound
This paper cites Learning disentangled representation by exploiting pretrained generative models: A contrastive learning view.
Steering Optimisation Trajectories in Diffusion Representation Learning Learning disentangled representation by exploiting pretrained generative models: A contrastive learning view
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.986548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1882e54-01aa-498f-9fbd-a2bfb155fe4d · outbound
This paper cites Demystifying variational diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Demystifying variational diffusion models
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.044457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1d793b57-d4cc-4868-bfb6-c6b29e59ac47 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning High- resolution image synthesis with latent diffusion models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.023167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b5fa00f8-ab70-4fce-97fa-eefbd7c11b46 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Steering Optimisation Trajectories in Diffusion Representation Learning U-net: Convolutional networks for biomedical image segmentation
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.990123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ba2d691-1d33-4fb7-af52-bdefd963e28c · outbound
This paper cites Image super-resolution via iterative refinement.
Steering Optimisation Trajectories in Diffusion Representation Learning Image super-resolution via iterative refinement
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.096503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1100aad1-dabd-4a91-9d11-50a358c18c47 · outbound
This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.
Steering Optimisation Trajectories in Diffusion Representation Learning Progressive Distillation for Fast Sampling of Diffusion Models
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.508306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 895e49da-b6a9-46d9-8fa7-9e68df931790 · outbound
This paper cites Learning factorial codes by predictability minimization.
Steering Optimisation Trajectories in Diffusion Representation Learning Learning factorial codes by predictability minimization
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.065958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e8cd994b-d76a-4a9f-b009-6e5ae2f53a34 · outbound
This paper cites Bridging the gap to real-world object-centric learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Bridging the gap to real-world object-centric learning
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.002846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c315775-67bb-4dab-a16a-20d4e037b0dd · outbound
This paper cites Opening the Black Box of Deep Neural Networks via Information.
Steering Optimisation Trajectories in Diffusion Representation Learning Opening the Black Box of Deep Neural Networks via Information
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.605363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e8ded3c-b56c-43ba-a232-467081708f95 · outbound
This paper cites Illiterate DALL-e learns to compose.
Steering Optimisation Trajectories in Diffusion Representation Learning Illiterate DALL-e learns to compose
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.008816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 006c155d-3b54-4f4d-9579-d690936a03ff · outbound
This paper cites Glass: Guided latent slot diffusion for object-centric learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Glass: Guided latent slot diffusion for object-centric learning
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.016155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bfcd489d-026c-4ffb-b095-d4283b48a9b9 · outbound
This paper cites What the daam: Interpreting stable diffusion using cross attention.
Steering Optimisation Trajectories in Diffusion Representation Learning What the daam: Interpreting stable diffusion using cross attention
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.039257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a584053e-204c-4bff-bb5b-0d5195f40487 · outbound
This paper cites Zhang, Fanqing Meng, Chao Hong, Xiaotong Xie, Shaowei Liu, Enzhe Lu, Yunpeng Tai, Yanru Chen, Xin Men, Haiqing Guo, Y.
Steering Optimisation Trajectories in Diffusion Representation Learning Zhang, Fanqing Meng, Chao Hong, Xiaotong Xie, Shaowei Liu, Enzhe Lu, Yunpeng Tai, Yanru Chen, Xin Men, Haiqing Guo, Y
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.032279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39340bfa-137d-4839-a61e-3dc6d10e667b · outbound
This paper cites The information bottleneck method.
Steering Optimisation Trajectories in Diffusion Representation Learning The information bottleneck method
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.602844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b44a989b-b2be-45cd-906c-4f0234d64e08 · outbound
This paper cites Go- ing deeper with image transformers.
Steering Optimisation Trajectories in Diffusion Representation Learning Go- ing deeper with image transformers
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.019527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53944533-c31c-4bdc-814b-49456bb31fe7 · outbound
This paper cites Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later.
Steering Optimisation Trajectories in Diffusion Representation Learning Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.570678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a5dd0bfd-2b92-40a4-80e4-8c4509350faf · outbound
This paper cites A closer look at time steps is worthy of triple speed-up for diffusion model training.
Steering Optimisation Trajectories in Diffusion Representation Learning A closer look at time steps is worthy of triple speed-up for diffusion model training
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.006700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e6d7ba4-13b9-4a3e-b56b-fa7dac91a061 · outbound
This paper cites Tracey, Katerina Placek, Marco Vilela, and James R.
Steering Optimisation Trajectories in Diffusion Representation Learning Tracey, Katerina Placek, Marco Vilela, and James R
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.021457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6721749e-7080-4753-a03f-c0755f66ca9c · outbound
This paper cites Infodiffusion: Representation learning using information maximizing diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Infodiffusion: Representation learning using information maximizing diffusion models
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.046227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 22b41ed9-1bcd-426a-a0c8-515b0c1d0358 · outbound
This paper cites Factorized diffusion autoencoder for unsupervised disentangled representation learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Factorized diffusion autoencoder for unsupervised disentangled representation learning
Reference 85
- Resolution
- verified exact
- doi, observed 2026-07-07T18:04:00.444344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 45eac165-ee4b-4043-b0f5-8ebd36841281 · outbound
This paper cites Slotdiffusion: Object- centric generative modeling with diffusion models.
Steering Optimisation Trajectories in Diffusion Representation Learning Slotdiffusion: Object- centric generative modeling with diffusion models
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.010682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b5d65c27-f2fa-448c-a4bb-afac0d8e655d · outbound
This paper cites Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon.
Steering Optimisation Trajectories in Diffusion Representation Learning Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon
Reference 87
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.597942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc7a9cd8-ea1e-4185-9196-b99e346f67d5 · outbound
This paper cites DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models.
Steering Optimisation Trajectories in Diffusion Representation Learning DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Reference 88
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.619182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a61e4e0-7e6d-4c66-aa61-dac94f35c8df · outbound
This paper cites Diffusion model with cross attention as an inductive bias for disentanglement.
Steering Optimisation Trajectories in Diffusion Representation Learning Diffusion model with cross attention as an inductive bias for disentanglement
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:00.995831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 970b99ae-20d4-45a5-a87f-760c1352d907 · outbound
This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
Steering Optimisation Trajectories in Diffusion Representation Learning Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.590562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9eb1c6ab-f9e3-4d05-a4ea-754bfd285c53 · outbound
This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think.
Steering Optimisation Trajectories in Diffusion Representation Learning Representation alignment for generation: Training diffusion transformers is easier than you think
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.051445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 80628394-73e0-4d72-b64b-d9fbed2906c3 · outbound
This paper cites Exploring diffusion time-steps for unsupervised representation learning.
Steering Optimisation Trajectories in Diffusion Representation Learning Exploring diffusion time-steps for unsupervised representation learning
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.027010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d16ba375-b11c-4627-90d2-33165de4236b · outbound
This paper cites Fixup Initialization: Residual Learning Without Normalization.
Steering Optimisation Trajectories in Diffusion Representation Learning Fixup Initialization: Residual Learning Without Normalization
Reference 93
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T18:04:00.581015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 158ddafe-657b-468f-ac70-2e0217dd0876 · outbound
This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.
Steering Optimisation Trajectories in Diffusion Representation Learning The unrea- sonable effectiveness of deep features as a perceptual metric
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.024949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f102395-7a36-4ad6-88fc-9a4da3f03b18 · outbound
This paper cites Unsupervised representation learning from pre- trained diffusion probabilistic models.
Steering Optimisation Trajectories in Diffusion Representation Learning Unsupervised representation learning from pre- trained diffusion probabilistic models
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T18:04:01.004696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.