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Paper Citation Record · LEDGER

Dis-GEN: Disordered crystal structure generation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.18275.

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

pith.paper-citation-record.v1
2507.18275 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T08:34:36.408152Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f926d752-e87a-4d68-9478-c3ac34f22020 · inbound

Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates cites this paper.

Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates Dis-GEN: Disordered crystal structure generation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:42:03.114896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T01:41:43.141782Z digest=sha256:ecf184546b830d600e1018da4a1820be0c683ebe0a4db470267a923e7ad3e2f8

Observation 1c361d9d-aa17-42e0-bf4c-9e03dbfbb372 · inbound

Atomistic Modeling of Chemical Disorder in Materials: Bridging Classical Methods and AI-Assisted Approaches cites this paper.

Atomistic Modeling of Chemical Disorder in Materials: Bridging Classical Methods and AI-Assisted Approaches Dis-GEN: Disordered crystal structure generation

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:38:09.276540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T08:34:36.408152Z digest=sha256:13981044f25a1d1ba8369b52ef14ae879cb121df6128b7c9fe09651df4c22f36