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Paper Citation Record · LEDGER

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26)

As of 13 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2607.21369.

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

pith.paper-citation-record.v1
2607.21369 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:42:55.573137Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2212549f-f56a-46e0-829c-b539bbcf143c · outbound

This paper cites an unresolved cited work.

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26) Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T07:42:55.183840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:42:55.183840Z digest=sha256:00200acb43e5a25c25a24ca7869e2ac657959761d30bc639f4d5c2bcd09fb09b

Observation a24d1797-a166-41a8-9886-0114d9dfc84f · outbound

This paper cites an unresolved cited work.

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26) Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T07:42:55.291652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:42:55.291652Z digest=sha256:c21133df60f9cf35445050dafb243d73a6fe1444e9a384cdaa61eda37146528e

Observation fd47cbd4-30b8-4072-9ea9-d3bd69c21a44 · outbound

This paper cites Mindless.

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26) Mindless

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T07:42:55.438057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:42:55.438057Z digest=sha256:b08169c29f81bb2515ff0f0f9221c3abbed7c34bf7af3332edfd10d306b764ce

Observation 19ed950f-027c-44d0-a38d-03d241dbab85 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26) Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T07:42:55.573137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:42:55.573137Z digest=sha256:5201ef14c3e8f3e98dc3cb48f23f05e967cbde38dd4ad72f8bbd335ecf0b3393

Pith citing papers

No inbound Pith citation observations are available.