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Paper Citation Record · LEDGER

Understanding Multimodal Deep Neural Networks: A Concept Selection View

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08964.

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

pith.paper-citation-record.v1
2404.08964 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:43:31.633546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:40:54.672034Z

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 d21f513f-d320-48d7-aaf6-3cebfd004b30 · inbound

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset cites this paper.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Understanding Multimodal Deep Neural Networks: A Concept Selection View

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:43:31.633546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:43:31.633546Z digest=sha256:aca4162714a4e6ee61622c2a92bea46984fab35aab7312cbad9647f5791a4354

Observation da71d89f-2b52-4530-972e-2848fb63317c · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Understanding Multimodal Deep Neural Networks: A Concept Selection View

Reference 266

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:40:54.673743Z

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.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:c46c55ed0ac26c5e1011707f3dc824359a915cda72f21d9f8348e6bffcc98c82