Paper Citation Record · LEDGER

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2101.07600.

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

pith.paper-citation-record.v1
2101.07600 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:05.105968Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c401978a-ceb9-42c1-9117-3c40d6548594 · inbound

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference cites this paper.

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:05.105968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0f74a0-2551-4c31-90df-e8cfb1432744 · inbound

Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions cites this paper.

Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:31:45.753346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f04fdc6-ee6a-4942-97cd-3683c2a37667 · inbound

CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios cites this paper.

CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:30:41.560231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8523c910-3f51-430d-bcef-5d532f93ada7 · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 291

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T19:09:03.252016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8ad841b-0ef8-4519-84ba-f695da6df645 · inbound

The University AI Didn't Replace -- Rethinking Universities in the AI Era cites this paper.

The University AI Didn't Replace -- Rethinking Universities in the AI Era Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-12T17:22:42.591825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de920f5-1997-40cf-904a-22e6f1bdc55b · inbound

Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure cites this paper.

Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.203336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.