Paper Citation Record · LEDGER

EPIC: Explanation of Pretrained Image Classification Networks via Prototype

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 2 inbound Pith citation observations for arXiv:2505.12897.

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

pith.paper-citation-record.v1
2505.12897 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:30:40.643868Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:00:00.270982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:26:26.855567Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy12
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67dff097-3763-421d-a905-a5b78d55aea1 · outbound

This paper cites Sanity checks for saliency maps.Advances in Neural Information Processing Systems, 31, 2018.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Sanity checks for saliency maps.Advances in Neural Information Processing Systems, 31, 2018

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.959073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 069a44d7-a3e9-4c1e-9d52-3bf60e3b21c8 · outbound

This paper cites On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.PLoS One, 10(7):e0130140, 2015.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.PLoS One, 10(7):e0130140, 2015

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.944603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fda756b-b4f8-490d-92c0-42e6e3b418bb · outbound

This paper cites B-cos networks: Alignment is all we need for interpretability.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype B-cos networks: Alignment is all we need for interpretability

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.931493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10618382-fbf8-46fe-9248-a6d00840e3a7 · outbound

This paper cites Concept whitening for interpretable image recognition.Nature Machine Intelligence, 2:772–782, 2020.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Concept whitening for interpretable image recognition.Nature Machine Intelligence, 2:772–782, 2020

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.918304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a130c38e-4085-4b1e-9999-a9a4771a1d83 · outbound

This paper cites This looks like that: Deep learning for interpretable image recognition.Advances in Neural Information Processing Systems, 32, 2019.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype This looks like that: Deep learning for interpretable image recognition.Advances in Neural Information Processing Systems, 32, 2019

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.902225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 098fa7ba-1da5-40ac-b243-cd01f0004fea · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Imagenet: A large- scale hierarchical image database

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.573696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bce0d0f-957d-4fef-8310-f59fb8a37c09 · outbound

This paper cites Towards automatic concept- based explanations.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Towards automatic concept- based explanations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.879203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4d1db02-d7fe-4edb-87c3-d1b4a66fc19b · outbound

This paper cites Deep residual learning for im- age recognition.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Deep residual learning for im- age recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.581261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590c52da-c4d0-4fa3-aecc-3ca61db17829 · outbound

This paper cites Fast axiomatic attribution for neural networks.Advances in Neural Information Processing Systems, 34:19513–19524, 2021.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Fast axiomatic attribution for neural networks.Advances in Neural Information Processing Systems, 34:19513–19524, 2021

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.848268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2cd15b04-925b-4216-8e86-9e880b9a8851 · outbound

This paper cites FunnyBirds: A synthetic vision dataset for a part-based analysis of explainable AI methods.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype FunnyBirds: A synthetic vision dataset for a part-based analysis of explainable AI methods

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.833737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3341f1f-e49d-491f-9014-4c5c7b0df13f · outbound

This paper cites Novel dataset for fine-grained image categorization.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Novel dataset for fine-grained image categorization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.592297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3760ba0-201f-4c13-a26e-3c90b6616e37 · outbound

This paper cites Collecting a large-scale dataset of fine-grained cars.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Collecting a large-scale dataset of fine-grained cars

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.595861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86482b7-085d-40c3-8f60-e5e0d9a4c752 · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.Queue, 16(3):31–57, 2018.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.Queue, 16(3):31–57, 2018

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.599267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354086e6-3227-4735-9bca-da15d815f6eb · outbound

This paper cites A unified approach to interpreting model predictions.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype A unified approach to interpreting model predictions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.790382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c30d4439-b191-48a1-93d0-a0652c45f591 · outbound

This paper cites Pipnet: Prototypical part network for interpretable fine-grained recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Pipnet: Prototypical part network for interpretable fine-grained recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.776367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d94ae032-22bf-4d20-bf64-28e18b9cb89e · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.609869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6e99ff-0c83-437e-a448-e54fe1de3877 · outbound

This paper cites why should i trust you?.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype why should i trust you?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.613829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd991c2-d274-4e93-9ad6-f083ee58df43 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.617689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf04f8a-0361-414a-a5c8-4b0bae9f1551 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.International Journal of Computer Vision, 128:336–359, 2020.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Grad-cam: Visual explanations from deep networks via gradient-based localization.International Journal of Computer Vision, 128:336–359, 2020

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.622834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4130338-5f78-4e1f-bcc3-f62ac12133d8 · outbound

This paper cites Not just a black box: Learning important features through propagating activation differences, 2017.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Not just a black box: Learning important features through propagating activation differences, 2017

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.733816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c832cbd-2d4a-40f3-accf-72f7bb52d803 · outbound

This paper cites InfoDisent: Explainability of Image Classification Models by Information Disentanglement.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype InfoDisent: Explainability of Image Classification Models by Information Disentanglement

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.631368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af1cdb3-4432-4533-a34f-f9770cd801d0 · outbound

This paper cites Axiomatic attribution for deep networks.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Axiomatic attribution for deep networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.636347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414e9ed2-15f3-4fa2-9865-74864e52e2d1 · outbound

This paper cites an unresolved cited work.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:40.640027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b484e85-9fe6-48a9-b04d-b77a84bc0af4 · outbound

This paper cites Explainable ai: A brief survey on history, research areas, approaches and challenges.

EPIC: Explanation of Pretrained Image Classification Networks via Prototype Explainable ai: A brief survey on history, research areas, approaches and challenges

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:40.703783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 33afa890-9641-4a9c-91ac-45d2a606d2be · inbound

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence cites this paper.

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence EPIC: Explanation of Pretrained Image Classification Networks via Prototype

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:00.270982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce6613d-f64e-49fb-8688-7648b4439779 · inbound

APEX: Audio Prototype EXplanations for Classification Tasks cites this paper.

APEX: Audio Prototype EXplanations for Classification Tasks EPIC: Explanation of Pretrained Image Classification Networks via Prototype

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:26.860326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.