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Paper Citation Record · LEDGER

Comparing Graph Transformers via Positional Encodings

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:4f7fd50d35235d1b4a70914cc056c150f40adb36e1cbeee977ae881c2f8c5877

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:47:04.091987Z digest=sha256:07ac8ab2a39531d718ab995ee68a1f60712cb95476f62999eab7769444769d08

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T00:02:01.826213Z digest=sha256:7bb50705170302c590f74a97f7e18be0d3d866874af62548087e5a0ec1d595e0