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Paper Citation Record · LEDGER

The role of causality in explainable artificial intelligence

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.09901.

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

pith.paper-citation-record.v1
2309.09901 v1

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 2026-08-07T15:35:27.451375Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

10
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 12c85357-723d-4ce5-97ca-bad63b3364af · inbound

Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications cites this paper.

Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications The role of causality in explainable artificial intelligence

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:27.451375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:35:27.451375Z digest=sha256:562a549af3aed8c011b725816de9156ba6baeaae3916bfb318139100f3cc3ca5

Observation 44844602-0398-4b65-9b5f-954ac92e6069 · inbound

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news cites this paper.

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news The role of causality in explainable artificial intelligence

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:19.992573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:19.992573Z digest=sha256:9c180a3f33f2c4974e3343d04c67310028dec704b3e6e6ecf6c470b93b85dd01

Observation cb9421b6-b86a-4290-9f62-aceca3a5cd2d · inbound

Towards explainable decision support using hybrid neural models for logistic terminal automation cites this paper.

Towards explainable decision support using hybrid neural models for logistic terminal automation The role of causality in explainable artificial intelligence

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:58:32.587963Z

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=2026-08-04T21:58:25.745104Z digest=sha256:897352af6b9cdcfd897eb62b1c72668a0b454a99f6fec32b2b5f400bfcb8052d