Paper Citation Record · LEDGER

Do We Really Need Complicated Model Architectures For Temporal Networks?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2302.11636.

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

pith.paper-citation-record.v1
2302.11636 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:41.453788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:33:15.245617Z

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 82fd752c-f969-41af-b586-a30c952d713c · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:45:46.205915Z

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.

Observation cf44766a-12d5-4cb6-a1b3-07c179c414d0 · inbound

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning cites this paper.

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T04:51:06.123698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8873edc2-818a-4bdb-8f76-c3462288aef1 · inbound

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning cites this paper.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:34.661961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4184e32-08a8-4bf4-b33b-b1a429d3dee8 · inbound

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph cites this paper.

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:41.453788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b94c4e-2a7b-44a0-9418-7c43271d08d7 · inbound

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes cites this paper.

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:44.032856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a801a569-0626-4a2d-9b9e-7482dd4f8d59 · inbound

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks cites this paper.

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:41.277592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383a77d8-4cce-4c9f-b714-8af10e3a070a · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:40.748227Z

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.

Observation 54db6e52-1754-45f8-a89e-83b496bc76ba · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T13:30:03.470544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735389ea-0bef-4d3a-83e7-281a1dc61b34 · inbound

Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs cites this paper.

Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:15.247288Z

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.