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Paper Citation Record · LEDGER

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.10689.

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

pith.paper-citation-record.v1
2103.10689 v3

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:55:12.245093Z

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

29
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 edba83a7-cb8a-43db-ab3a-94ffcffc962d · inbound

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise cites this paper.

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T13:55:12.245093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:55:12.245093Z digest=sha256:a4323f80f0e1a71edca3b3030e43a4b38c736762a449db2427ad98ba6cb3fbf4

Observation 222b465d-b0a4-419d-a20e-07d11e6510bb · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

Reference 188

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:54.415497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:00f5abc3b281008e4f325be4b146d50b2196c973461a69115386e8f8814b9054

Observation 54327603-54c3-4665-a2b9-628a7a2b6ef3 · inbound

fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture cites this paper.

fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-01T16:30:33.396584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:30:33.396584Z digest=sha256:cfaacdb7a26510b6f9fcbef37f3d9cd865110e53bf6faf925f6b66d5f67249b1