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Paper Citation Record · LEDGER

Aligning Heterogeneous DFT Datasets: A Graph Neural Network Approach to Cross-Functional Formation Energies

As of 12 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2607.24327.

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

pith.paper-citation-record.v1
2607.24327 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T18:04:12.351090Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5c6c666-5f41-4f5a-a953-4622ce4536c4 · outbound

This paper cites F., Reid, A.

Aligning Heterogeneous DFT Datasets: A Graph Neural Network Approach to Cross-Functional Formation Energies F., Reid, A

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T18:04:12.347242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:04:12.347242Z digest=sha256:6e9d337e3dcf71bd791944b176133fc06d076a32dfac5b766c8eff198b8bf4ed

Observation 1f7fcf2e-4cef-46bd-b30b-fafc790d4bc4 · outbound

This paper cites AI-Driven Expansion and Application of the Alexandria Database.

Aligning Heterogeneous DFT Datasets: A Graph Neural Network Approach to Cross-Functional Formation Energies AI-Driven Expansion and Application of the Alexandria Database

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T18:04:12.351090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:04:12.351090Z digest=sha256:b4be9276fe7184943d4236c9c4da4181aea649f228db5eb54ad090ae9530c309

Pith citing papers

No inbound Pith citation observations are available.