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Paper Citation Record · LEDGER

RealMat: Realistic Materials with Diffusion and Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2509.01134.

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

pith.paper-citation-record.v1
2509.01134 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:55:37.319107Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:16:37.509163Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:41:03.192713Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb90c904-332b-4661-b45d-4625624d6509 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

RealMat: Realistic Materials with Diffusion and Reinforcement Learning SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:37.309843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:37.309843Z digest=sha256:8eed3d172d5304088221115f72eb2ce8085785f946d4e5a9583a5027187304cc

Observation b9725d23-5011-4778-a146-cd214d9d5d73 · outbound

This paper cites Proximal Policy Optimization Algorithms.

RealMat: Realistic Materials with Diffusion and Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:37.314538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:37.314538Z digest=sha256:85589faa09813aa236a9211d41118159029abfe62192769907e436b6270b6cfd

Observation 859bfe46-798a-41a3-ae5d-2185861d8a7b · outbound

This paper cites Com- puter Graphics Forum 41, 2 (2022), 163–177.

RealMat: Realistic Materials with Diffusion and Reinforcement Learning Com- puter Graphics Forum 41, 2 (2022), 163–177

Reference 2022

Resolution
verified exact
doi, observed 2026-08-05T12:55:37.353086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T12:55:37.305494Z digest=sha256:10548bf4dc34c44ef0908c15fd79fa6810d2f1ed46f9646a9e4d243bea1f6202

Observation 70b8a529-a291-4528-86a3-db3ca5876fec · outbound

This paper cites In ACM SIGGRAPH 2023 Conference Proceedings.

RealMat: Realistic Materials with Diffusion and Reinforcement Learning In ACM SIGGRAPH 2023 Conference Proceedings

Reference 2023

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:55:37.486593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T12:55:37.319107Z digest=sha256:8b311ff9255fd24817f2c1d7f07d34267a6b6608891f2eb60917c64607991913

Observation acd3bdb3-c53c-4159-875a-881b5c9dbc80 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

RealMat: Realistic Materials with Diffusion and Reinforcement Learning Training Diffusion Models with Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:37.300008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:37.300008Z digest=sha256:79488d29a0d19d6ca4717fd4ab06e2ebbbe72f6c5f9b84ff02f99e03565c7dc0

Pith citing papers

Observation 39e1400f-3b63-439c-9b1d-97d442441fd9 · inbound

Generative Texture Filtering cites this paper.

Generative Texture Filtering RealMat: Realistic Materials with Diffusion and Reinforcement Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:41:03.194725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:16:37.509163Z digest=sha256:cc2752a618374f437bac8b86b980547e06ca9097bc8d3f838b00a16e6d386d80