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Paper Citation Record · LEDGER

CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.02078.

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

pith.paper-citation-record.v1
2405.02078 v3

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:15:29.910793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:16:52.250445Z

Reference resolution

0 of 0 outbound references displayed

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

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 3f7fdc1e-4c03-41be-8027-d01926411f70 · inbound

Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models cites this paper.

Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:15:29.910793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:15:29.910793Z digest=sha256:222fe17f20648cef15d28a35324db881b671e72937b15b56d6974660974635d7

Observation 1c2af213-a29b-4e14-a3ba-bd91d0d034c6 · inbound

TSAgent: An Agentic Workflow for Autonomous Transition State Search cites this paper.

TSAgent: An Agentic Workflow for Autonomous Transition State Search CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:48:28.860598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T01:44:39.866627Z digest=sha256:04536c411d4a0384084618915fcd9e5fe51220f63ccf9f34765603bbbed8d906

Observation 52dc102a-dcf6-4ce2-9b14-c037d8a8fe5e · inbound

Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin cites this paper.

Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:16:52.252053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T05:10:40.642169Z digest=sha256:89a244c05e6292363535634a9871aabf2808c9b07375311f10b8d192df6a1f4b

Observation 7de1c106-6598-4672-ab51-f5676e9f1857 · inbound

Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin cites this paper.

Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-12T15:08:52.399613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:08:52.399613Z digest=sha256:0de4d032249d38738f2374c5c7c99269d76d1d49c14b5f8405003bf2613f8d4b