Pith. sign in

Paper Citation Record · LEDGER

Comparing Graph Transformers via Positional Encodings

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14202.

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

pith.paper-citation-record.v1
2402.14202 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:27.974394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T00:03:51.865480Z

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 6c12d182-7311-4ef4-ac41-e8afaaad211e · inbound

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction cites this paper.

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction Comparing Graph Transformers via Positional Encodings

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:27.974394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:27.974394Z digest=sha256:7a8f1664dc70ade11d8b1ce82fad44cd935d71432aa4f566ffd8da6bf51ec59d

Observation 0e6d4fda-1ddc-4b36-b57c-2fe882a60ffb · inbound

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks cites this paper.

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks Comparing Graph Transformers via Positional Encodings

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:43.129421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:47:04.091987Z digest=sha256:181170628b1d358e277b29823fcd8a799991295f057bcf2e61403f17465bc491

Observation bfbb4b10-63f5-4d68-9d0a-8bfbd2fc9457 · inbound

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks cites this paper.

Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks Comparing Graph Transformers via Positional Encodings

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:03:51.869649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:02:01.826213Z digest=sha256:f4028de9aee4a52a709b81b46d5e504122e0e8a61de64ffd5fea4f3d2c27cea1