Paper Citation Record · LEDGER

Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.09263.

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

pith.paper-citation-record.v1
2406.09263 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:41:53.105269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.431665Z

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 2e0b22f3-82ef-4b81-991f-e847924a1016 · inbound

Design Topological Materials by Reinforcement Fine-Tuned Generative Model cites this paper.

Design Topological Materials by Reinforcement Fine-Tuned Generative Model Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:16:58.720981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbc91b2f-f24f-4e1e-a5ea-d2f4c31b25cf · inbound

CrystalICL: Enabling In-Context Learning for Crystal Generation cites this paper.

CrystalICL: Enabling In-Context Learning for Crystal Generation Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:41:53.105269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d45dd0-59e3-41c7-a15d-f0bd04fb8536 · inbound

Inverse Materials Design via Joint Generation of Crystal Structures and Local Electronic Descriptors cites this paper.

Inverse Materials Design via Joint Generation of Crystal Structures and Local Electronic Descriptors Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:46:07.745184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c03db730-ec40-46d3-920c-f500e1fb281d · inbound

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

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:52.433618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.