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Paper Citation Record · LEDGER

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.17522.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.17522 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:48:38.591058Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 573b5995-5252-49e4-9143-82fdd14ca753 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Structured denoising diffusion models in discrete state-spaces

Reference 1

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no resolver link, observed 2026-08-01T17:48:37.285603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.285603Z digest=sha256:801b8d30ef87d42484cbd62d3b60d94c470742705f5b09e6fa335a0495e1a525

Observation bd01ecab-8a0b-4d51-bde4-7fd37f20d068 · outbound

This paper cites A continuous time framework for discrete denoising models.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold A continuous time framework for discrete denoising models

Reference 2

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no resolver link, observed 2026-08-01T17:48:37.337129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.337129Z digest=sha256:880390c87341951d7291cc99a8b29cb83d21cd21534044f18e420fab2002097c

Observation d6c0a1a0-c7fe-4a4a-ae03-9362eeea04fa · outbound

This paper cites MaskGIT: Masked generative image transformer, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold MaskGIT: Masked generative image transformer, in: Proc

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.394724Z digest=sha256:584ea2ab6f23f9f781e95484bfb6fdc0f26b8aba9136b8b8b6c45bf77e9a0122

Observation f79f6143-747f-4245-867e-d1c476b3df88 · outbound

This paper cites Muse: Text-to-image generation via masked generative transformers, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Muse: Text-to-image generation via masked generative transformers, in: Proc

Reference 4

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no resolver link, observed 2026-08-01T17:48:37.454011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.454011Z digest=sha256:57db81d49d34438ebf88c9da44e86df1df6b08715e1789d84a7c761f334accab

Observation 3a76040f-7913-4e3f-8da7-36f0a9da8af2 · outbound

This paper cites Optimal inference schedules for masked diffusion models, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Optimal inference schedules for masked diffusion models, in: Proc

Reference 5

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no resolver link, observed 2026-08-01T17:48:37.535908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.535908Z digest=sha256:c93a888f2ea9f2d22aadbaeac12322d2ee7667183b91e8e735fc0dfd35efbd14

Observation 13ac219f-1cbe-49e5-b738-17abf07dd3eb · outbound

This paper cites Elements of Information Theory, second ed.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Elements of Information Theory, second ed

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.594529Z digest=sha256:9a6f0fcdfecb78728d03a7b9bb5cc53b0679aad7ae2e948757c9494526f3083d

Observation 369d6e59-768b-444d-9e54-d4ec26268ec2 · outbound

This paper cites Improving discrete diffusion unmasking policies beyond explicit reference policies, in: Fourteenth International Conference on Learning Representations; arXiv:2510.05725.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Improving discrete diffusion unmasking policies beyond explicit reference policies, in: Fourteenth International Conference on Learning Representations; arXiv:2510.05725

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.667461Z digest=sha256:1e857e09bae5c4c0126672be07663599419f43f39cb93e68539e3b40ee30c8fc

Observation fdc5f83a-5306-4f3d-9a37-3b214b022171 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.730444Z digest=sha256:f48c598f2924c1410c369cefd53d7c14299dd416657bf1b4c36a8d5a6cf6735f

Observation df29f4c1-3b77-4b41-97be-256dd8cb7533 · outbound

This paper cites Autoregressive diffusion models, in: International Conference on Learning Representations.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Autoregressive diffusion models, in: International Conference on Learning Representations

Reference 9

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no resolver link, observed 2026-08-01T17:48:37.794620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.794620Z digest=sha256:912f264d9f59fbdb655055baf4142c6638ab5a6e3a2d4cee18bfe1adeef02e54

Observation a561d792-0a32-40cd-9fa0-c6547937811e · outbound

This paper cites Learning Unmasking Policies for Diffusion Language Models.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Learning Unmasking Policies for Diffusion Language Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.857182Z digest=sha256:d1fa6c16e00352ec4761d2cb979f82b9211b217f10719e55f0746f5399272178

Observation 6b4b3646-ec4a-47aa-bb39-819e78a51742 · outbound

This paper cites Train for the worst, plan for the best: Understanding token ordering in masked diffusions, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Train for the worst, plan for the best: Understanding token ordering in masked diffusions, in: Proc

Reference 11

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no resolver link, observed 2026-08-01T17:48:37.996709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:37.996709Z digest=sha256:767e20456238f5761917a9ef569d177b53e2d7f6805450dea1c89ec92011f64f

Observation e04969de-91e5-4aa9-83f8-58db5dd15827 · outbound

This paper cites Breaking AR's sampling bottleneck: Provable acceleration via diffusion language models.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Breaking AR's sampling bottleneck: Provable acceleration via diffusion language models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.089688Z digest=sha256:cfad319ce7d94d3a72b017873bee86d7ae86879adbc2b5fcb30da920aceec760

Observation 99d43ff4-e859-4d48-8ef9-33d56917e812 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Discrete diffusion modeling by estimating the ratios of the data distribution, in: Proc

Reference 13

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no resolver link, observed 2026-08-01T17:48:38.174742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.174742Z digest=sha256:44b11acfd600e7d1834742e4945d56284c7a2342cb239767981bd4c126c2281e

Observation a94f239c-d5c3-44cf-b425-2dcddcf528fd · outbound

This paper cites Large language diffusion models.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Large language diffusion models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.283435Z digest=sha256:5c0cb0a7264e364056e31c2ee41690eeab39b8a2deb5a017c038a250281c875d

Observation fab0d2dc-82be-4a32-8359-a0e8a1b447df · outbound

This paper cites Simple and effective masked diffusion language models.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Simple and effective masked diffusion language models

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.365497Z digest=sha256:e839b2dfaaf721b6796cb81e8128874cc910103ba06f945949fbd3c5b4c54ada

Observation 2818f23c-9fca-4e09-9547-bca229e3509d · outbound

This paper cites The diffusion duality, in: Proc.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold The diffusion duality, in: Proc

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.447364Z digest=sha256:bf61028317771b5b9a1447630dd4c99d4f5c8fb32e82e80f95ef8087ceecc1c4

Observation d08b9a8d-8fc9-476d-ab43-c55ddabb0829 · outbound

This paper cites The unreasonable effectiveness of Gaussian score approximation for diffusion models and its applications.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold The unreasonable effectiveness of Gaussian score approximation for diffusion models and its applications

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.518872Z digest=sha256:4d53aed5b0b96200ff8fe38b78d05a51f20290bec0717b52ab82bf1f3181aff6

Observation 28f6a346-46da-4ef5-bdbd-ea8e9d76638a · outbound

This paper cites Information theoretical analysis of multivariate correlation.

One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold Information theoretical analysis of multivariate correlation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:48:38.591058Z digest=sha256:2d04a89da2a15ee87d28506e9a5bb2c03957d1af73f439b2f350dbd033d5afc4

Pith citing papers

No inbound Pith citation observations are available.