Paper Citation Record · LEDGER

Recurrent Diffusion for Large-Scale Parameter Generation

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.

pith.paper-citation-record.v1
2501.11587 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:10:46.063200Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:34:22.315764Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.149799Z

Reference resolution

69 of 69 outbound references displayed

verified exact2
verified fuzzy29
unresolved38
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 910ecff2-848a-449f-a7f4-ee315f00f595 · outbound

This paper cites write newline.

Recurrent Diffusion for Large-Scale Parameter Generation write newline

Reference 1

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Source-reported events for the cited work

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Observation 9170e252-3982-4ec0-984a-642b4b3df8db · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Recurrent Diffusion for Large-Scale Parameter Generation xLSTM: Extended Long Short-Term Memory

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.731585Z

Source-reported events for the cited work

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Observation e5377a12-3c40-44d5-9340-a4cdcc8b3431 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Recurrent Diffusion for Large-Scale Parameter Generation Piqa: Reasoning about physical commonsense in natural language

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.190476Z

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Observation b5cd1317-1cfc-45b4-a755-10e50cee4142 · outbound

This paper cites an unresolved cited work.

Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:10:47.177050Z

Source-reported events for the cited work

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Observation da34d80d-2888-4672-a9e7-2e09a3618dfe · outbound

This paper cites SMASH : One-shot model architecture search through hypernetworks.

Recurrent Diffusion for Large-Scale Parameter Generation SMASH : One-shot model architecture search through hypernetworks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.162747Z

Source-reported events for the cited work

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Observation ab4a2800-c363-4c81-9ad4-b2d23858edc3 · outbound

This paper cites Rethinking Attention with Performers.

Recurrent Diffusion for Large-Scale Parameter Generation Rethinking Attention with Performers

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef609800-621b-42e0-a830-78175e52a74c · outbound

This paper cites Diffusion-sdf: Conditional generative modeling of signed distance functions.

Recurrent Diffusion for Large-Scale Parameter Generation Diffusion-sdf: Conditional generative modeling of signed distance functions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.149245Z

Source-reported events for the cited work

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Observation f78d5cd1-2b1b-45bd-9bb7-221533d6ebba · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Recurrent Diffusion for Large-Scale Parameter Generation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.762514Z

Source-reported events for the cited work

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Observation d9a963bd-0bb8-4179-8063-41f069bb0a90 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Recurrent Diffusion for Large-Scale Parameter Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.767417Z

Source-reported events for the cited work

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Observation 13fff50c-0dc2-4440-90b5-7b5e3d94ea91 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Recurrent Diffusion for Large-Scale Parameter Generation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.772600Z

Source-reported events for the cited work

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Observation 406ecc7d-be21-43f2-ab17-945806fc9049 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Recurrent Diffusion for Large-Scale Parameter Generation Imagenet: A large-scale hierarchical image database

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.136295Z

Source-reported events for the cited work

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Observation bb1e96aa-59a4-40a0-8139-1d46d4436ff2 · outbound

This paper cites and Nichol, A.

Recurrent Diffusion for Large-Scale Parameter Generation and Nichol, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.122969Z

Source-reported events for the cited work

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Observation bdd99b5f-f2ff-4e14-81ed-c135d332646d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Recurrent Diffusion for Large-Scale Parameter Generation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.109232Z

Source-reported events for the cited work

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Observation 8cf2dd1f-53fa-4574-9d3e-1eb47fa1347f · outbound

This paper cites Hyperdiffusion: Generating implicit neural fields with weight-space diffusion.

Recurrent Diffusion for Large-Scale Parameter Generation Hyperdiffusion: Generating implicit neural fields with weight-space diffusion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.093539Z

Source-reported events for the cited work

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Observation e6169f90-b66c-41a0-9791-b16b775c9b56 · outbound

This paper cites Structural pruning for diffusion models.

Recurrent Diffusion for Large-Scale Parameter Generation Structural pruning for diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.079130Z

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 8b5f2f44-3b43-48ae-a37a-6828d627635a · outbound

This paper cites and Ghahramani, Z.

Recurrent Diffusion for Large-Scale Parameter Generation and Ghahramani, Z

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.063210Z

Source-reported events for the cited work

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Observation fe043628-cf60-46ba-8b4b-e2692786f7ce · outbound

This paper cites Practical variational inference for neural networks.

Recurrent Diffusion for Large-Scale Parameter Generation Practical variational inference for neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.048279Z

Source-reported events for the cited work

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Observation cc484008-5574-43a9-a1b4-ec62b77269db · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Recurrent Diffusion for Large-Scale Parameter Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

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Source-reported events for the cited work

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Observation afcdd4b9-05cc-4886-8904-8f4345c4b8aa · outbound

This paper cites M., and Le, Q.

Recurrent Diffusion for Large-Scale Parameter Generation M., and Le, Q

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:47.033498Z

Source-reported events for the cited work

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Observation 95f74525-963e-4b5d-9889-c6a49361b67f · outbound

This paper cites Deep residual learning for image recognition.

Recurrent Diffusion for Large-Scale Parameter Generation Deep residual learning for image recognition

Reference 21

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Source-reported events for the cited work

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Observation 21fbdaba-d18e-49f5-8d4f-1a3ff2755311 · outbound

This paper cites Denoising diffusion probabilistic models.

Recurrent Diffusion for Large-Scale Parameter Generation Denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

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Observation cadf170c-d10f-4b8d-9042-1e14129a1623 · outbound

This paper cites Untersuchungen zu dynamischen neuronalen netzen.

Recurrent Diffusion for Large-Scale Parameter Generation Untersuchungen zu dynamischen neuronalen netzen

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.878763Z

Source-reported events for the cited work

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Observation deb62b1f-ea62-412e-9d1a-3838ab3b82ed · outbound

This paper cites Long short-term memory.

Recurrent Diffusion for Large-Scale Parameter Generation Long short-term memory

Reference 24

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Source-reported events for the cited work

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Observation 9aa0779d-c055-4e59-9552-0160d912dbb6 · outbound

This paper cites Long short-term memory.

Recurrent Diffusion for Large-Scale Parameter Generation Long short-term memory

Reference 25

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Source-reported events for the cited work

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Observation edfc0638-72cb-4518-95a6-e19b19c4a597 · outbound

This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.853519Z

Source-reported events for the cited work

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Observation 05f43baf-909a-4fc6-b154-060c56607772 · outbound

This paper cites Conditional LoRA Parameter Generation.

Recurrent Diffusion for Large-Scale Parameter Generation Conditional LoRA Parameter Generation

Reference 27

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Source-reported events for the cited work

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Observation 853dcbbc-2a56-4a36-8742-e1a601da9ec5 · outbound

This paper cites Auto-Encoding Variational Bayes.

Recurrent Diffusion for Large-Scale Parameter Generation Auto-Encoding Variational Bayes

Reference 28

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Source-reported events for the cited work

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Observation accd3adc-b7df-4450-954b-ae3b007cb9d9 · outbound

This paper cites and Hinton, G.

Recurrent Diffusion for Large-Scale Parameter Generation and Hinton, G

Reference 29

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Observation ecf8eedd-7943-4f35-89d4-1c4505583dd2 · outbound

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Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work

Reference 30

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Observation 09047cbb-49cd-48a1-b23d-a91a78ba62cf · outbound

This paper cites L., and Tanaka, H.

Recurrent Diffusion for Large-Scale Parameter Generation L., and Tanaka, H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.814826Z

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 01373d3c-d1ab-4ef2-a6a2-9eefc4454a43 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Recurrent Diffusion for Large-Scale Parameter Generation Autoregressive Image Generation without Vector Quantization

Reference 32

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Source-reported events for the cited work

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Observation 4bbff2af-d10e-4992-b0ab-738359d98ef4 · outbound

This paper cites Exploring plain vision transformer backbones for object detection.

Recurrent Diffusion for Large-Scale Parameter Generation Exploring plain vision transformer backbones for object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.799604Z

Source-reported events for the cited work

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Observation fe89de76-7c6c-4b6c-a778-71ee2a39bb70 · outbound

This paper cites Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.

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

This paper cites Unleash Graph Neural Networks from Heavy Tuning.

Recurrent Diffusion for Large-Scale Parameter Generation Unleash Graph Neural Networks from Heavy Tuning

Reference 35

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Source-reported events for the cited work

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Observation 96c2f3aa-cce0-43f7-8701-49e858c966e2 · outbound

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Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work

Reference 36

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Source-reported events for the cited work

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Observation a1470795-391a-4d1a-8c93-e6185e37ba5c · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Recurrent Diffusion for Large-Scale Parameter Generation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 37

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Source-reported events for the cited work

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Observation 5e85a662-8952-4e51-8011-7a1781c603eb · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Recurrent Diffusion for Large-Scale Parameter Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.775550Z

Source-reported events for the cited work

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Observation f6d5f1e7-ab44-4c42-ad24-49b0d1c7c7db · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

Recurrent Diffusion for Large-Scale Parameter Generation Deepcache: Accelerating diffusion models for free

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.760275Z

Source-reported events for the cited work

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Observation 5784bb63-eccb-44ad-849d-f753b0f18b2a · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

Recurrent Diffusion for Large-Scale Parameter Generation Introducing meta llama 3: The most capable openly available llm to date

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.745294Z

Source-reported events for the cited work

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Observation dfaf3156-819d-4fd8-bd71-4424a3c62b22 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

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

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Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation e897a0b8-4f6a-410b-a3cd-fea6283db231 · outbound

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Recurrent Diffusion for Large-Scale Parameter Generation Unresolved cited work

Reference 43

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Observation 1329a040-d01e-4088-9e34-ae5328a54e8e · outbound

This paper cites T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.

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

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Recurrent Diffusion for Large-Scale Parameter Generation and Xie, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.696703Z

Source-reported events for the cited work

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Observation bad3cae8-8696-4790-b04e-d44ddb85c4c1 · outbound

This paper cites Learning to Learn with Generative Models of Neural Network Checkpoints.

Recurrent Diffusion for Large-Scale Parameter Generation Learning to Learn with Generative Models of Neural Network Checkpoints

Reference 46

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Source-reported events for the cited work

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Observation d38413c0-eb94-4348-941d-9483079473e3 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Recurrent Diffusion for Large-Scale Parameter Generation RWKV: Reinventing RNNs for the Transformer Era

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.949025Z

Source-reported events for the cited work

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Observation 5ac39ab0-b7be-44ae-bdf7-e7b231cec383 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Recurrent Diffusion for Large-Scale Parameter Generation High-resolution image synthesis with latent diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.681800Z

Source-reported events for the cited work

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Observation 1437dfe3-164b-44a9-9e06-00dedd4ea2d7 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Recurrent Diffusion for Large-Scale Parameter Generation SocialIQA: Commonsense Reasoning about Social Interactions

Reference 49

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Source-reported events for the cited work

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Observation 13beb514-5f3a-4ac8-8d67-2d851798ee73 · outbound

This paper cites Hyper-representations as generative models: Sampling unseen neural network weights.

Recurrent Diffusion for Large-Scale Parameter Generation Hyper-representations as generative models: Sampling unseen neural network weights

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.666286Z

Source-reported events for the cited work

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Observation db9be8d3-493d-4ef3-bf82-a6f6042c3d7a · outbound

This paper cites Hyper-Representations for Pre-Training and Transfer Learning.

Recurrent Diffusion for Large-Scale Parameter Generation Hyper-Representations for Pre-Training and Transfer Learning

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:10:46.272044Z

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 a58b0714-e815-43e1-b798-38f2610583a8 · outbound

This paper cites Model zoos: A dataset of diverse populations of neural network models.

Recurrent Diffusion for Large-Scale Parameter Generation Model zoos: A dataset of diverse populations of neural network models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.651309Z

Source-reported events for the cited work

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Observation c518d80d-8cab-4ab2-a7e2-fad68ae356b1 · outbound

This paper cites Towards Scalable and Versatile Weight Space Learning.

Recurrent Diffusion for Large-Scale Parameter Generation Towards Scalable and Versatile Weight Space Learning

Reference 53

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Source-reported events for the cited work

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Observation 282c9a25-926d-49b2-9ed7-f18af09af4d9 · outbound

This paper cites Temporal dynamic quantization for diffusion models.

Recurrent Diffusion for Large-Scale Parameter Generation Temporal dynamic quantization for diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.636258Z

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 1781370d-abc7-4696-a3d2-6365a7bf0a2f · outbound

This paper cites Chaos in random neural networks.

Recurrent Diffusion for Large-Scale Parameter Generation Chaos in random neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.619954Z

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 cbb7ab7f-3b84-40aa-9633-ac38bd7c5789 · outbound

This paper cites Denoising Diffusion Implicit Models.

Recurrent Diffusion for Large-Scale Parameter Generation Denoising Diffusion Implicit Models

Reference 56

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Source-reported events for the cited work

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Observation b252014e-fcc2-49a0-8528-c9474a520a71 · outbound

This paper cites Consistency Models.

Recurrent Diffusion for Large-Scale Parameter Generation Consistency Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.998965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472e6ae2-257a-4b2f-92c1-d7a22bcfd528 · outbound

This paper cites Diffusion-Based Neural Network Weights Generation.

Recurrent Diffusion for Large-Scale Parameter Generation Diffusion-Based Neural Network Weights Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.004882Z

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Observation 613c44cd-9dfb-4508-97b9-42cd1d4cec7f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Recurrent Diffusion for Large-Scale Parameter Generation LLaMA: Open and Efficient Foundation Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.009672Z

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Observation 94f5fb5d-3c3a-423d-aef8-2fd1340cf22d · outbound

This paper cites Attention is all you need.

Recurrent Diffusion for Large-Scale Parameter Generation Attention is all you need

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.604184Z

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Observation 4177e8ed-f70d-478b-b3fc-d3786351bf89 · outbound

This paper cites Neural Network Diffusion.

Recurrent Diffusion for Large-Scale Parameter Generation Neural Network Diffusion

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.019121Z

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Observation e18e35fa-b2ed-4acd-93a9-806939bb09fb · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Recurrent Diffusion for Large-Scale Parameter Generation Linformer: Self-Attention with Linear Complexity

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.023954Z

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Observation 78ef22f7-cbb4-49d6-a20d-60a5789bd0fa · outbound

This paper cites GitHub repository: Pytorch image models.

Recurrent Diffusion for Large-Scale Parameter Generation GitHub repository: Pytorch image models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.588836Z

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 15e9acb8-34e3-40a5-99a3-746805af198e · outbound

This paper cites Unified perceptual parsing for scene understanding.

Recurrent Diffusion for Large-Scale Parameter Generation Unified perceptual parsing for scene understanding

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.573042Z

Source-reported events for the cited work

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Observation 941cf489-fcec-4438-99eb-26ef31389b11 · outbound

This paper cites Qwen2 Technical Report.

Recurrent Diffusion for Large-Scale Parameter Generation Qwen2 Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.038567Z

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Observation 073ad95b-356e-40d3-8e23-48bddd1b7a17 · outbound

This paper cites Diffusion probabilistic model made slim.

Recurrent Diffusion for Large-Scale Parameter Generation Diffusion probabilistic model made slim

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:10:46.556324Z

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 1fad7eab-8fca-4042-bb05-9f1eb9cece5e · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Recurrent Diffusion for Large-Scale Parameter Generation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.048948Z

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Observation 4bb7ae23-1465-41df-81ad-395359f33edb · outbound

This paper cites Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.

Recurrent Diffusion for Large-Scale Parameter Generation Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.053742Z

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Observation b45fe60c-ceca-4a42-abb6-4ded6296955d · outbound

This paper cites Scene parsing through ade20k dataset.

Recurrent Diffusion for Large-Scale Parameter Generation Scene parsing through ade20k dataset

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.058548Z

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Observation 22796c9e-239f-425b-8106-b6182cafa201 · outbound

This paper cites write newline.

Recurrent Diffusion for Large-Scale Parameter Generation write newline

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:46.063200Z

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Pith citing papers

Observation 3b0af484-ee74-4fe7-bfe3-f9204a6da6e0 · inbound

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion cites this paper.

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion Recurrent Diffusion for Large-Scale Parameter Generation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:01:42.508148Z

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 424c1453-6c6f-48aa-9a1f-9bbcb57d07f0 · inbound

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights cites this paper.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Recurrent Diffusion for Large-Scale Parameter Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.315764Z

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Observation 7b57b6c1-6433-4c0f-852e-623631f5dcd4 · inbound

On the Expressive Power of Permutation-Equivariant Weight-Space Networks cites this paper.

On the Expressive Power of Permutation-Equivariant Weight-Space Networks Recurrent Diffusion for Large-Scale Parameter Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T05:57:12.015687Z

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Observation bdc36a1c-0d81-46ca-9386-1913d12c5138 · inbound

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation cites this paper.

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation Recurrent Diffusion for Large-Scale Parameter Generation

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T09:38:10.912046Z

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 36ec3123-263e-43db-b1ff-4723e790f556 · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Recurrent Diffusion for Large-Scale Parameter Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.623973Z

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 c84cb6e5-5b97-4772-982d-88600a303b38 · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning Recurrent Diffusion for Large-Scale Parameter Generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.151604Z

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.