Paper Citation Record · LEDGER

Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.21366.

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

pith.paper-citation-record.v1
2407.21366 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:55.145456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:10:29.529123Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84553169-21eb-4c06-a3e8-fa49fb0b933f · inbound

Towards Large-Scale Condensed Phase Simulations using Machine Learned Energy Functions cites this paper.

Towards Large-Scale Condensed Phase Simulations using Machine Learned Energy Functions Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:55.145456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076bbb05-d0ce-4b50-9927-50b91b569d62 · inbound

Dynamics of Protonated Oxalate from Machine-Learned Simulations and Experiment: Infrared Signatures, Proton Transfer Dynamics and Tunneling Splittings cites this paper.

Dynamics of Protonated Oxalate from Machine-Learned Simulations and Experiment: Infrared Signatures, Proton Transfer Dynamics and Tunneling Splittings Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T22:47:34.630421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59683d4-6edb-4084-a804-a34bda2e83bc · inbound

Towards Efficient Instanton Rate Calculations using Machine Learning Surrogates cites this paper.

Towards Efficient Instanton Rate Calculations using Machine Learning Surrogates Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:36.363122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d090cc-98e5-42be-969c-5dd0efad3503 · inbound

Fidelity of Machine Learned Potentials: Quantitative Assessment for Protonated Oxalate cites this paper.

Fidelity of Machine Learned Potentials: Quantitative Assessment for Protonated Oxalate Accurate Tunneling Splittings for Ever-Larger Molecules from Transfer-Learned, CCSD(T) Quality Energy Functions

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.531610Z

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.