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Paper Citation Record · LEDGER

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.21255.

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

pith.paper-citation-record.v1
2508.21255 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:33:21.296866Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

32 of 32 outbound references displayed

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  • verified fuzzy8
  • unresolved22
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6c8bcab-d09f-4129-86f5-1be67e69c46a · outbound

This paper cites and Bottou, L.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling and Bottou, L

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dea135e4-caa8-4ffd-aed7-ad4ed193714e · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 679dca04-e018-484c-a7ee-bd74b23f8845 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 9409a57d-a717-4243-93db-ff0c8eca4c6f · outbound

This paper cites and Nichol, A.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling and Nichol, A

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 54263de3-a5f0-47dd-8efd-5c4e863be874 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 5

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b183cc68-88a4-49e5-accb-3ff591ac903b · outbound

This paper cites NIPS 2016 Tutorial: Generative Adversarial Networks.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling NIPS 2016 Tutorial: Generative Adversarial Networks

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a30e42ef-9377-4150-a371-e76d0a4cfd4f · outbound

This paper cites J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2484a4a3-29c8-4632-8c74-cf6ca4913846 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Denoising Diffusion Probabilistic Models

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 202d7509-4234-4e41-9fc0-44cabf4538e7 · outbound

This paper cites R., Dasgupta, T., Tuo, R., and Wu, C.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling R., Dasgupta, T., Tuo, R., and Wu, C

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 02ca568c-1277-4a20-802b-5968c9b80499 · outbound

This paper cites R., Wang, D., Gu, L., Lv, S., and Tuo, R.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling R., Wang, D., Gu, L., Lv, S., and Tuo, R

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d6bf83e-c911-42e1-8d83-c4c991043dff · outbound

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation dca409d7-56d2-4b16-8c3a-bf663cd13bcf · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 826f7a0d-cf43-438d-aa71-ae1bcfb1a958 · outbound

This paper cites Phenomenology of dark energy: exploring the space of theories with future redshift surveys.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Phenomenology of dark energy: exploring the space of theories with future redshift surveys

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f0eafa07-b636-4219-9857-e5befac835fe · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 82d6e583-6829-4531-80c7-ef88fbb3ed5e · outbound

This paper cites Projected support points: a new method for high-dimensional data reduction.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Projected support points: a new method for high-dimensional data reduction

Reference 15

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ad60153-4491-406c-983f-a46988ffd0b3 · outbound

This paper cites and Joseph, V.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling and Joseph, V

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7087f378-e283-4c67-b808-eee344d28a80 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a64f0eed-8687-4f8f-b0bf-0ab7d82c3360 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5067860-ea6b-4796-8733-1fb0e8480291 · outbound

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1145eb63-0583-4b22-8424-306e48ba7571 · outbound

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 828811de-29ac-49ea-8d49-650ab2bbb421 · outbound

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation c7a6893a-9525-422c-a4b5-24e56590365c · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e9a9458b-b0dd-49c1-b8f2-115e2e14b056 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04b39534-0933-49d2-b80c-bb1fbdd87767 · outbound

This paper cites A., Maheswaranathan, N., and Ganguli, S.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling A., Maheswaranathan, N., and Ganguli, S

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 105b984c-3e4b-4682-ad87-43eede4ad28d · outbound

This paper cites Denoising Diffusion Implicit Models.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Denoising Diffusion Implicit Models

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fcc610b2-b1a2-4d43-a49d-473fda67b86d · outbound

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Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling and Ermon, S

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c0cca012-d0d2-44d8-aca6-20366279a243 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 28

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 142f8fb6-15eb-41dd-948e-70bfeb8293c9 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 880f143d-0c4b-4cce-a662-c7b8d8311e85 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a0482c4e-0797-4803-94e5-0e809e4a1a36 · outbound

This paper cites Denoising Diffusion Probabilistic Models in Six Simple Steps.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Denoising Diffusion Probabilistic Models in Six Simple Steps

Reference 31

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 854ab8cd-1642-438a-9eef-306b85eb5b81 · outbound

This paper cites an unresolved cited work.

Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling Unresolved cited work

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.