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Paper Citation Record · LEDGER

Prediction of Diffusion Coefficients in Mixtures with Tensor Completion

As of 5 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 2 inbound Pith citation observations for arXiv:2602.23142.

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

pith.paper-citation-record.v1
2602.23142 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:31:55.053800Z

measured 5 of 5 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 2026-08-01T13:26:59.506918Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 37b6d98f-7257-4b8c-be04-742581ee3415 · outbound

This paper cites Da tabase for liquid phase diffusion coefficients at infinite dilution at 298 K and matrix c ompletion methods for their prediction.

Prediction of Diffusion Coefficients in Mixtures with Tensor Completion Da tabase for liquid phase diffusion coefficients at infinite dilution at 298 K and matrix c ompletion methods for their prediction

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T20:31:54.748005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:31:54.748005Z digest=sha256:5becc2f233a8edd38c596827c81dfeb2750b8db4ee96f3aefb3bb0a798c88a23

Observation 2bc77b4d-765f-441f-972d-384d68a5572f · outbound

This paper cites 20 24; https://zenodo.org/ doi/10.5281/zenodo.13848108.

Prediction of Diffusion Coefficients in Mixtures with Tensor Completion 20 24; https://zenodo.org/ doi/10.5281/zenodo.13848108

Reference 3

Resolution
verified exact
doi, observed 2026-08-02T20:33:22.573011Z

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=2026-08-02T20:31:55.053800Z digest=sha256:12cab71d6b3ea9ac480aa704a7f94c474668ccb3f0a87a6f62e759c7ccd1b8f6

Observation e95b9297-13a2-49c9-939f-e1b4c0d85f59 · outbound

This paper cites (3) Romero, Z.; M¨ unnemann, K.; Hasse, H.; Jirasek, F.

Prediction of Diffusion Coefficients in Mixtures with Tensor Completion (3) Romero, Z.; M¨ unnemann, K.; Hasse, H.; Jirasek, F

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T20:31:54.896780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:31:54.896780Z digest=sha256:bc5ae239811664dbb2ca868a77f1d284ef6254dcae80a49a29ca9dde3ef3871b

Pith citing papers

Observation cbfb621d-2dfc-4bba-8af8-aa494c70e5bb · inbound

Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning cites this paper.

Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning Prediction of Diffusion Coefficients in Mixtures with Tensor Completion

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-01T13:29:30.388399Z

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=arxiv_source observed=2026-08-01T13:26:56.621978Z digest=sha256:a549c3de1dc1ab1b8756997a414c9149bb981b53ee4fdb90183acc3475086020

Observation 4bc0b49e-b385-4ec8-9b42-6486a0856cf4 · inbound

Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning cites this paper.

Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning Prediction of Diffusion Coefficients in Mixtures with Tensor Completion

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-01T13:26:59.506918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:26:59.506918Z digest=sha256:9e1b4c273819f25862023c84971aca31704f5b68b47f5b81bf043b9cc8e4dc14