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Paper Citation Record · LEDGER

Scalable Diffusion for Materials Generation

As of 21 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 2026-08-21T06:32:19.484+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:ddfcdb44b6e2742fd5c2c0a9757c238d53e99cd247e47482303a3e9d4ab008ca

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=sha256:0ad38da7494a6039ed115be954c132fdb41509622c3b4dd43b50591de9cc507e

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:dd9a7d6d70f1cf0a41be4daaf8cd328031caf84a1df877ec858283ddf8185b9b

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=sha256:68b4e7cdd761cd75cc95ab3eef9f146aa25ab23ad4f0caafe25182b372d35037

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:dacf6b7bb175cd9c872e1710d89733a441111eab50cc3f3ea2b42b8c23929ab5

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:c330d527749b629e728d446ac65ee5bf06f7d009c324eeb54ff4964159b67658

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=sha256:0773a557ff0146a32596fc21db2df826cd9a6221ff8b3d4d6df72f0a1dfed95d

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:ecc916faf4ed7fa1081c7f140c467e30ff42431e9e52a203f1463bd71c17274a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T07:09:14.913144Z digest=sha256:9861e365c067747f152d6e1f0aa829c382ca5390f2a2721409289a3e2ceda3f7

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=sha256:0142959f0ca45a92218e27e8793dfd9d9e5ace0457201ccba9d011d3628d8d67

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T13:39:56.672175Z digest=sha256:9f5e1da016e4109ea2fc5aed11ab54b8c8739e76e1a5ca6f503d77b4986a168d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T09:31:47.827675Z digest=sha256:8d1b98ade573733adbd13e79f216a2792463a17ff99267ff7a9952c27b4faa70

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T19:47:39.298750Z digest=sha256:058fde85bb2dcc432206d5c2fdbfa807b39243998e7e86ca0152a796da9408c4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T01:49:05.946138Z digest=sha256:524ef9d60bf25389f893721a7cd407c4e637759ae18081a2bbb307d3a806c05b