Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:10:46.063200Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 6 inbound Pith citation observations for arXiv:2501.11587.
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 2026-08-10T18:10:46.063200Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:34:22.315764Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T18:57:17.149799Z
69 of 69 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 910ecff2-848a-449f-a7f4-ee315f00f595 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation write newline
Reference 1
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Observation 9170e252-3982-4ec0-984a-642b4b3df8db · outbound
Recurrent Diffusion for Large-Scale Parameter Generation xLSTM: Extended Long Short-Term Memory
Reference 2
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Observation e5377a12-3c40-44d5-9340-a4cdcc8b3431 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Piqa: Reasoning about physical commonsense in natural language
Reference 3
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Observation b5cd1317-1cfc-45b4-a755-10e50cee4142 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work
Reference 4
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Observation da34d80d-2888-4672-a9e7-2e09a3618dfe · outbound
Recurrent Diffusion for Large-Scale Parameter Generation SMASH : One-shot model architecture search through hypernetworks
Reference 5
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Observation ab4a2800-c363-4c81-9ad4-b2d23858edc3 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Rethinking Attention with Performers
Reference 6
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Observation ef609800-621b-42e0-a830-78175e52a74c · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Diffusion-sdf: Conditional generative modeling of signed distance functions
Reference 7
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Observation f78d5cd1-2b1b-45bd-9bb7-221533d6ebba · outbound
Recurrent Diffusion for Large-Scale Parameter Generation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 8
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Observation d9a963bd-0bb8-4179-8063-41f069bb0a90 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 9
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Observation 13fff50c-0dc2-4440-90b5-7b5e3d94ea91 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 10
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Observation 406ecc7d-be21-43f2-ab17-945806fc9049 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Imagenet: A large-scale hierarchical image database
Reference 11
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Observation bb1e96aa-59a4-40a0-8139-1d46d4436ff2 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation and Nichol, A
Reference 12
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Observation bdd99b5f-f2ff-4e14-81ed-c135d332646d · outbound
Recurrent Diffusion for Large-Scale Parameter Generation An image is worth 16x16 words: Transformers for image recognition at scale
Reference 13
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Observation 8cf2dd1f-53fa-4574-9d3e-1eb47fa1347f · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Hyperdiffusion: Generating implicit neural fields with weight-space diffusion
Reference 14
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Observation e6169f90-b66c-41a0-9791-b16b775c9b56 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Structural pruning for diffusion models
Reference 15
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Observation 8b5f2f44-3b43-48ae-a37a-6828d627635a · outbound
Recurrent Diffusion for Large-Scale Parameter Generation and Ghahramani, Z
Reference 16
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Observation fe043628-cf60-46ba-8b4b-e2692786f7ce · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Practical variational inference for neural networks
Reference 17
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Observation cc484008-5574-43a9-a1b4-ec62b77269db · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 19
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Observation afcdd4b9-05cc-4886-8904-8f4345c4b8aa · outbound
Recurrent Diffusion for Large-Scale Parameter Generation M., and Le, Q
Reference 20
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Observation 95f74525-963e-4b5d-9889-c6a49361b67f · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Deep residual learning for image recognition
Reference 21
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Observation 21fbdaba-d18e-49f5-8d4f-1a3ff2755311 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Denoising diffusion probabilistic models
Reference 22
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Observation cadf170c-d10f-4b8d-9042-1e14129a1623 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Untersuchungen zu dynamischen neuronalen netzen
Reference 23
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Observation deb62b1f-ea62-412e-9d1a-3838ab3b82ed · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Long short-term memory
Reference 24
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Observation 9aa0779d-c055-4e59-9552-0160d912dbb6 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Long short-term memory
Reference 25
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Observation edfc0638-72cb-4518-95a6-e19b19c4a597 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W
Reference 26
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Observation 05f43baf-909a-4fc6-b154-060c56607772 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Conditional LoRA Parameter Generation
Reference 27
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Observation 853dcbbc-2a56-4a36-8742-e1a601da9ec5 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Auto-Encoding Variational Bayes
Reference 28
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Observation accd3adc-b7df-4450-954b-ae3b007cb9d9 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation and Hinton, G
Reference 29
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Observation ecf8eedd-7943-4f35-89d4-1c4505583dd2 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work
Reference 30
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Observation 09047cbb-49cd-48a1-b23d-a91a78ba62cf · outbound
Recurrent Diffusion for Large-Scale Parameter Generation L., and Tanaka, H
Reference 31
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Observation 01373d3c-d1ab-4ef2-a6a2-9eefc4454a43 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Autoregressive Image Generation without Vector Quantization
Reference 32
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Observation 4bbff2af-d10e-4992-b0ab-738359d98ef4 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Exploring plain vision transformer backbones for object detection
Reference 33
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Observation fe89de76-7c6c-4b6c-a778-71ee2a39bb70 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Reference 34
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Observation 95bfef16-664f-4703-bff2-a574802dcf6e · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unleash Graph Neural Networks from Heavy Tuning
Reference 35
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Observation 96c2f3aa-cce0-43f7-8701-49e858c966e2 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work
Reference 36
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Observation a1470795-391a-4d1a-8c93-e6185e37ba5c · outbound
Recurrent Diffusion for Large-Scale Parameter Generation DoRA: Weight-Decomposed Low-Rank Adaptation
Reference 37
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Observation 5e85a662-8952-4e51-8011-7a1781c603eb · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Reference 38
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Observation f6d5f1e7-ab44-4c42-ad24-49b0d1c7c7db · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Deepcache: Accelerating diffusion models for free
Reference 39
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Observation 5784bb63-eccb-44ad-849d-f753b0f18b2a · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Introducing meta llama 3: The most capable openly available llm to date
Reference 40
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Observation dfaf3156-819d-4fd8-bd71-4424a3c62b22 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 41
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Observation af4b24a7-288d-4ff3-9cec-08a2c2495909 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work
Reference 42
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Observation e897a0b8-4f6a-410b-a3cd-fea6283db231 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work
Reference 43
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Observation 1329a040-d01e-4088-9e34-ae5328a54e8e · outbound
Recurrent Diffusion for Large-Scale Parameter Generation T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Reference 44
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Observation 94c7572b-297f-410a-be7b-a7a06baeb2cd · outbound
Recurrent Diffusion for Large-Scale Parameter Generation and Xie, S
Reference 45
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Recurrent Diffusion for Large-Scale Parameter Generation Learning to Learn with Generative Models of Neural Network Checkpoints
Reference 46
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Observation d38413c0-eb94-4348-941d-9483079473e3 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation RWKV: Reinventing RNNs for the Transformer Era
Reference 47
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Observation 5ac39ab0-b7be-44ae-bdf7-e7b231cec383 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation High-resolution image synthesis with latent diffusion models
Reference 48
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Observation 1437dfe3-164b-44a9-9e06-00dedd4ea2d7 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation SocialIQA: Commonsense Reasoning about Social Interactions
Reference 49
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Observation 13beb514-5f3a-4ac8-8d67-2d851798ee73 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Hyper-representations as generative models: Sampling unseen neural network weights
Reference 50
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Observation db9be8d3-493d-4ef3-bf82-a6f6042c3d7a · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Hyper-Representations for Pre-Training and Transfer Learning
Reference 51
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Observation a58b0714-e815-43e1-b798-38f2610583a8 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Model zoos: A dataset of diverse populations of neural network models
Reference 52
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Observation c518d80d-8cab-4ab2-a7e2-fad68ae356b1 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Towards Scalable and Versatile Weight Space Learning
Reference 53
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Observation 282c9a25-926d-49b2-9ed7-f18af09af4d9 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Temporal dynamic quantization for diffusion models
Reference 54
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Observation 1781370d-abc7-4696-a3d2-6365a7bf0a2f · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Chaos in random neural networks
Reference 55
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Recurrent Diffusion for Large-Scale Parameter Generation Denoising Diffusion Implicit Models
Reference 56
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Recurrent Diffusion for Large-Scale Parameter Generation Consistency Models
Reference 57
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Observation 472e6ae2-257a-4b2f-92c1-d7a22bcfd528 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Diffusion-Based Neural Network Weights Generation
Reference 58
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Observation 613c44cd-9dfb-4508-97b9-42cd1d4cec7f · outbound
Recurrent Diffusion for Large-Scale Parameter Generation LLaMA: Open and Efficient Foundation Language Models
Reference 59
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Observation 94f5fb5d-3c3a-423d-aef8-2fd1340cf22d · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Attention is all you need
Reference 60
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Recurrent Diffusion for Large-Scale Parameter Generation Neural Network Diffusion
Reference 61
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Observation e18e35fa-b2ed-4acd-93a9-806939bb09fb · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Linformer: Self-Attention with Linear Complexity
Reference 62
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Recurrent Diffusion for Large-Scale Parameter Generation GitHub repository: Pytorch image models
Reference 63
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Recurrent Diffusion for Large-Scale Parameter Generation Unified perceptual parsing for scene understanding
Reference 64
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Observation 941cf489-fcec-4438-99eb-26ef31389b11 · outbound
Recurrent Diffusion for Large-Scale Parameter Generation Qwen2 Technical Report
Reference 65
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Recurrent Diffusion for Large-Scale Parameter Generation Diffusion probabilistic model made slim
Reference 66
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Recurrent Diffusion for Large-Scale Parameter Generation HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 67
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Recurrent Diffusion for Large-Scale Parameter Generation Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Reference 68
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Recurrent Diffusion for Large-Scale Parameter Generation Scene parsing through ade20k dataset
Reference 69
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Reference 70
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Observation 3b0af484-ee74-4fe7-bfe3-f9204a6da6e0 · inbound
Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion Recurrent Diffusion for Large-Scale Parameter Generation
Reference 19
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Observation 424c1453-6c6f-48aa-9a1f-9bbcb57d07f0 · inbound
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Recurrent Diffusion for Large-Scale Parameter Generation
Reference 58
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Observation 7b57b6c1-6433-4c0f-852e-623631f5dcd4 · inbound
On the Expressive Power of Permutation-Equivariant Weight-Space Networks Recurrent Diffusion for Large-Scale Parameter Generation
Reference 67
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Observation bdc36a1c-0d81-46ca-9386-1913d12c5138 · inbound
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Reference 14
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Observation 36ec3123-263e-43db-b1ff-4723e790f556 · inbound
SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Recurrent Diffusion for Large-Scale Parameter Generation
Reference 28
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Observation c84cb6e5-5b97-4772-982d-88600a303b38 · inbound
Robotic Policy Adaptation via Weight-Space Meta-Learning Recurrent Diffusion for Large-Scale Parameter Generation
Reference 38
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