Paper Citation Record · LEDGER

This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.02968.

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

pith.paper-citation-record.v1
2105.02968 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:02:24.262049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.832434Z

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 18fea037-a06b-4636-8faf-bc9c4f101364 · inbound

Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition cites this paper.

Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T17:46:47.281169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1cb09a-e3a5-459d-9a6a-1c3dff3c329e · inbound

MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis cites this paper.

MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T06:02:24.262049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5729ed02-9816-4dee-b818-d924f57463db · inbound

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics cites this paper.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.032990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303d28bd-1e99-4fa1-86a8-232c2bbe8839 · inbound

Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling cites this paper.

Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:11.302876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f21d685a-60b1-41a0-b682-0f32940e04c6 · inbound

DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification cites this paper.

DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:20:56.706719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ce0b6ba-9c99-4b88-bee7-58494fc3fa83 · inbound

Metonymy in vision models undermines attention-based interpretability cites this paper.

Metonymy in vision models undermines attention-based interpretability This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:09.756824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ba3aa82-6554-473b-a0e4-fd16b85b8432 · inbound

ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization cites this paper.

ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.834386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.