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Paper Citation Record · LEDGER

Scalable Diffusion for Materials Generation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2311.09235.

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

pith.paper-citation-record.v1
2311.09235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:09.160586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.438084Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c4aa084-6db7-46a3-a814-f6962092e253 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Scalable Diffusion for Materials Generation

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-09T13:47:39.994084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:47:39.994084Z digest=sha256:4ea62ffda6a733a884ff7a37e53c1b5079529447b22e110a65f31a4c0a4ae2db

Observation b866040d-edc1-4d4e-aeda-de2882e1a32f · inbound

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models cites this paper.

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Scalable Diffusion for Materials Generation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T04:20:16.744232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:20:16.744232Z digest=sha256:5c25cae768425a148c50d0032c8fa898856670ccd0695ba56b5f847581af982a

Observation 86aa63b3-ed14-4f6d-9e71-ca97a21bdfbd · inbound

Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules cites this paper.

Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules Scalable Diffusion for Materials Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T17:14:51.156162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:14:51.156162Z digest=sha256:1a8c7f9c3acc90defedc9614b9de39b2ba9043c3e27c1d9c2bc303958bc856b2

Observation 62cac5f2-2e9b-48f7-acaf-e2c86fcf1b2b · inbound

System of Agentic AI for the Discovery of Metal-Organic Frameworks cites this paper.

System of Agentic AI for the Discovery of Metal-Organic Frameworks Scalable Diffusion for Materials Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.160586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.160586Z digest=sha256:911f6a25d66aa1ac9c97aaa2ea121f0f5354d19920a40ba5cb6eb94ec9a9f577

Observation 772c6278-7a8b-4708-bde3-75c2644bafed · inbound

Crystal structure prediction with host-guided inpainting generation and foundation potentials cites this paper.

Crystal structure prediction with host-guided inpainting generation and foundation potentials Scalable Diffusion for Materials Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T10:57:54.585141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:57:54.585141Z digest=sha256:dc29cf07d479e30e92f7ef0dce8acd1c0abf337f837c62a3cc85136c4c2b54df

Observation 32ce111c-0c65-4e4c-9ee1-50e0607328a2 · inbound

Generative AI for Crystal Structures: A Review cites this paper.

Generative AI for Crystal Structures: A Review Scalable Diffusion for Materials Generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:48.793740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:39:48.793740Z digest=sha256:d8b98ec577a651e77db407e072211d3216907a853dc5de162a9513f21685939a

Observation 7bda2eca-693b-4120-b735-9ec601f9219e · inbound

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation Scalable Diffusion for Materials Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T21:42:05.525501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:42:05.525501Z digest=sha256:fbe9af02c4ff1e0008d0579638cc28c85fb884cbf2bdeb397644ba5c3061ab6a

Observation ba781553-cee1-4af3-b34d-3bb25605ac89 · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers Scalable Diffusion for Materials Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T20:04:40.138503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:04:40.138503Z digest=sha256:9b1d5afddd48cc73c06943f29cf411d2e658b4024823f2b7bf6afff1874c6220

Observation 0ae01416-60a9-49d6-b444-86d0261eaf70 · inbound

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling cites this paper.

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Scalable Diffusion for Materials Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:10:27.669398Z

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.

source=pdf_text observed=2026-05-25T07:09:14.913144Z digest=sha256:2298362b85e174ffd3b0cdc399acdc65e8542dab6a0fd6dead91579040e73eb5

Observation f75ee35d-3df1-4477-96da-0b97aa1a2352 · inbound

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling cites this paper.

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Scalable Diffusion for Materials Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T21:39:38.955818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:39:38.955818Z digest=sha256:680ba18ea25188c913df9a62d9385cfdff31b2661ffaa78a9473130c368289c1

Observation 3f6499b9-20f7-4242-9799-5c0b5768a201 · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Scalable Diffusion for Materials Generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:43:19.676871Z

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.

source=pdf_text observed=2026-05-20T13:39:56.672175Z digest=sha256:66469708d4663ebe2a4d9d4efa0088fb99796a313004c33c2b4c3c734f5d49e0

Observation e2e20c72-a756-4049-ad5f-2153e2f9e789 · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Scalable Diffusion for Materials Generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:34:47.008706Z

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.

source=pdf_text observed=2026-05-22T09:31:47.827675Z digest=sha256:38b1ffb9da7fed1821afd3a9bd2132e00d204d845efaece2ecef124d7b04608c

Observation 3f16c26d-9407-49f7-9a8e-a1cc1ad298c1 · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Scalable Diffusion for Materials Generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:55:01.691591Z

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.

source=pdf_text observed=2026-06-30T19:47:39.298750Z digest=sha256:57fee1cd54ce43874a7d42f33823e7e67847443a7c01546c75b0fd8a05fceabd

Observation c3005ed2-969e-4f04-95e3-ae5f26ac1fce · inbound

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining cites this paper.

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining Scalable Diffusion for Materials Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.439784Z

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.

source=pdf_text observed=2026-06-27T01:49:05.946138Z digest=sha256:fa34e4a6e744883ddf500912724da1bf3dfc33e313c5ac78b719b94c835b8e2f