Paper Citation Record · LEDGER

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2101.05974.

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

pith.paper-citation-record.v1
2101.05974 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:16:50.823969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:45:46.222684Z

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 589ed745-c555-4755-88e8-84564a66b2df · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:45:46.226438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7122086d-487c-414d-819b-d7a909c3258e · inbound

CLDG: Contrastive Learning on Dynamic Graphs cites this paper.

CLDG: Contrastive Learning on Dynamic Graphs Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T12:16:50.823969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee860b8-66a1-4ce8-93eb-61ec3b9ca713 · inbound

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures cites this paper.

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:33.900634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f0eecda-a8d8-484d-8d87-b4e3fef3b155 · inbound

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

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:34.812500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0e442a-fe5e-437f-a877-c333cd841e1b · inbound

Higher-order Structure Boosts Link Prediction on Temporal Graphs cites this paper.

Higher-order Structure Boosts Link Prediction on Temporal Graphs Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:01.594592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4d5903-d6a9-48b9-a0cc-56ab8dc8c0da · inbound

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction cites this paper.

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:03.709732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30861bbc-9f26-4d42-b1c9-29251b479073 · inbound

DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs cites this paper.

DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T20:30:52.308606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90560dc-701b-4e07-b07c-58277523b0d3 · 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 Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:40.744538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0a386a5e-00bc-4171-aaa4-08e2603ffa24 · 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 Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T13:30:05.630203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6c845a-469f-45d6-9c65-dfe94a1a61ce · inbound

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs cites this paper.

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T15:32:34.608347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.