Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:50:59.026954Z
Paper Citation Record · LEDGER
On the Feature Learning in Diffusion Models
As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 4 inbound Pith citation observations for arXiv:2412.01021.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:50:24.513379Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:39:49.425945Z
Reference resolution
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6dab1426-db7a-4abd-9fe7-bbfcbeeb492e · outbound
This paper cites 21 Published as a conference paper at ICLR 2025.
On the Feature Learning in Diffusion Models 21 Published as a conference paper at ICLR 2025
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.269005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ae47193-4f33-4aec-83a3-b85fb13e77d8 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.257451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1274cd67-700a-48e8-846d-86d1c9fe668b · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.246352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c2ebbff6-804e-423b-a491-9223e7485d9f · outbound
This paper cites The lower bound on m = eΩ(1) is to ensure the initialization is concentrated and thus provides a lower bound on the maximum and average inner product.
On the Feature Learning in Diffusion Models The lower bound on m = eΩ(1) is to ensure the initialization is concentrated and thus provides a lower bound on the maximum and average inner product
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.235730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4e920a53-d33c-48f0-ae57-d19d429d3764 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.223654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b8da5d7c-caa6-4f90-8fc9-632802a08fdf · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.210824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 76cf434e-6f98-4be5-9895-fe12189a8c93 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.198953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2d6cdb5e-9cc0-4dea-b5fe-093f596d7002 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.186088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c5a0128b-ac54-4550-8f01-d6db5577f4d2 · outbound
This paper cites We make the following remarks on the conditions.
On the Feature Learning in Diffusion Models We make the following remarks on the conditions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.174503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 70d243a5-421d-4d88-ba57-6d9e6cd6e5df · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.155261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5e1b9c69-3802-46a1-af50-c2b78a23e028 · outbound
This paper cites This completes the induction that for all k ≤ min{Tµ, Tξ}, we have ∥wk r,t∥2 = Θ( σ2 0d), ⟨wk r,t, w0 r,t⟩ = Θ(σ2 0d), |⟨wk r,t, µj⟩| = eO(σ0∥µ∥) and |⟨wk r,t, ξi⟩| = eO(σ0σξ √ d).
On the Feature Learning in Diffusion Models This completes the induction that for all k ≤ min{Tµ, Tξ}, we have ∥wk r,t∥2 = Θ( σ2 0d), ⟨wk r,t, w0 r,t⟩ = Θ(σ2 0d), |⟨wk r,t, µj⟩| = eO(σ0∥µ∥) and |⟨wk r,t, ξi⟩| = eO(σ0σξ √ d)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.143015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e789514-0dfb-46a0-b865-ed8b96f7a7da · outbound
This paper cites This verifies the induction on ∥wk r,t∥2 = Θ(σ2 0d).
On the Feature Learning in Diffusion Models This verifies the induction on ∥wk r,t∥2 = Θ(σ2 0d)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.128878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c329a41-658e-4769-9cbb-e6a447a02cf3 · outbound
This paper cites This verifies the induction on ∥wk r,t∥2 = Θ(σ2 0d).
On the Feature Learning in Diffusion Models This verifies the induction on ∥wk r,t∥2 = Θ(σ2 0d)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:50:59.116391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ff67c990-e495-4b14-a8ec-94ff41a4cb66 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.103615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4e9f4f04-1c1d-464a-bf8a-33c51a567507 · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.090752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 272b16a4-a267-46d0-94ce-80d18b47d34d · outbound
This paper cites an unresolved cited work.
On the Feature Learning in Diffusion Models Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:50:59.077603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3393d3fb-35a7-47ee-893a-bbad440257bf · outbound
This paper cites Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models.
On the Feature Learning in Diffusion Models Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:50:58.952344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 83bea2e2-2ca9-4d10-93c4-e53e5db15b70 · inbound
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? cites this paper.
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? On the Feature Learning in Diffusion Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:50:24.513379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a733580-33fd-48ae-aefb-8fa9b015bcae · inbound
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation On the Feature Learning in Diffusion Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:36.894577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9471355f-d0fc-4dc3-a845-876620aaefa4 · inbound
Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.
Benign Overfitting in Adversarial Training for Vision Transformers On the Feature Learning in Diffusion Models
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:46:20.621346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 84a2d645-a780-4633-987a-8688db40f861 · inbound
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine cites this paper.
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine On the Feature Learning in Diffusion Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:39:49.428181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.