Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T12:43:08.778806Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2511.18159.
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 2026-05-22T12:43:08.778806Z
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, observed 2026-08-02T05:17:34.633934Z
A source-named dated measurement, never combined with another source.
Source: cited_works
20 of 20 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 809e515a-795e-426e-8c7e-90ebeda6162f · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T
Reference 1
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 a72252d5-25ae-45a8-b3d5-18c65b34da7e · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 2
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 a151769a-3b93-49c5-8be2-8bd3e00a2111 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Restricting attention tointerpolatingmasked diffusion models—i.e., those whose forward process qinterpolates between clean datax∈ Vand a target distributionCat(·;π), Sahoo et al
Reference 3
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 7dee4671-dd6c-4f71-ac2b-ec413bdd632a · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 4
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 3482a664-4d09-4f95-8c1c-5432c2d6c182 · outbound
Reference 5
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 be61f9c2-00b3-4c03-8e79-08f09c6cd036 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 6
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 84aed037-6bf1-4dcc-b215-2d2bd7029fcd · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 7
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 bb2e4c80-eed6-4a1e-a00a-6da74e7aa747 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 8
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 1602ebc5-1461-4d31-8858-5755b3d9f7a2 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 9
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 7ecf68ad-43df-416d-b9df-73160878b924 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 10
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 a39b67d2-30f7-4a78-bc5c-29a11d5b2212 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 11
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 cc67e94b-cd02-4541-95bf-997b0e049622 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 12
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 acff33d5-0fd9-422c-94b9-87cf3bdb0c53 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models A.3 RELATEDWORK In order to reduce training variance in diffusion models, the following strategies have been proposed: • Meng et al
Reference 13
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 52fadaeb-49d6-4acc-9800-daea4c8520a1 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models By the law of total variance, Varx0,t,xt(Y) =E x0 [Vart,xt(Y|x 0)] + Varx0 [Et,xt(Y|x 0)]
Reference 14
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 d44c35dd-6e43-4fa8-ab6d-6967088ca38e · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 15
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 4b79c0c5-4c42-4965-8394-f509ab331cc5 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models A.5.2 P-POTS: PARETO-OPTIMALPROPERTY Consider the reweighted estimator 1 p(t) lθ(x0, t, xt), t∼p(t)
Reference 16
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 c1b74890-5e08-441d-8b56-9209627544a2 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 17
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 9d4701f9-2889-49b1-9d75-f6c266b75172 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Under the assumptions (A1) All tokens inRshareµ R, σ2 R; tokens inCshareµ C, σ2 C
Reference 18
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 7d5a9106-80b4-4df0-abd5-eb498c988fdd · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Unresolved cited work
Reference 19
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 bf358127-2ac4-440d-8698-a5f0d421a651 · outbound
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models While settingn=Bresults in highly fine-grained strata, it may lead to unstable estimates within each stratum due to too few samples
Reference 20
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 fefb9a68-4acd-45a4-b24c-9767a6ca6e2f · inbound
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.