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Paper Citation Record · LEDGER

Scalable molecular simulation of electrolyte solutions with quantum chemical accuracy

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.12535.

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

pith.paper-citation-record.v1
2310.12535 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:50:54.571862Z

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

0 of 0 outbound references displayed

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

External citation measurements

11
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e1f5cd4-acd0-4928-badc-1faf885e307b · inbound

A potassium ion channel simulated with a universal neural network potential cites this paper.

A potassium ion channel simulated with a universal neural network potential Scalable molecular simulation of electrolyte solutions with quantum chemical accuracy

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T10:50:54.571862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:50:54.571862Z digest=sha256:a783e1fc8ba7be8919ca87f83b0e9f6fca98ff6f8de82a69faa73e9de13c1a51

Observation 67e1b954-18cf-439c-89bd-122c16ec74a8 · inbound

From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields cites this paper.

From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields Scalable molecular simulation of electrolyte solutions with quantum chemical accuracy

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T04:23:30.391729Z

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=arxiv_source observed=2026-08-01T04:15:19.627877Z digest=sha256:a5315a4e224a6dfc8547a10f3571adcb29286eb492f5c9de0fd4e26a7cb146c3

Observation fccb8072-3538-4da0-801d-f4420d2dc849 · inbound

From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields cites this paper.

From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields Scalable molecular simulation of electrolyte solutions with quantum chemical accuracy

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-03T01:51:15.094226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:51:15.094226Z digest=sha256:e7239f33ae5a230cbf0a84bd3559e2119c1c4e23e3de564d9ca2aa52ed01031e