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Paper Citation Record · LEDGER

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.21589.

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

pith.paper-citation-record.v1
2505.21589 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:19.880162Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90917ba1-2c03-4a0f-a188-309e7596ee14 · outbound

This paper cites Getting a CLUE: A Method for Explaining Uncertainty Estimates.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Getting a CLUE: A Method for Explaining Uncertainty Estimates

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:18.924598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:18.924598Z digest=sha256:b4717f84af5d9755e5fde8788ed1d23fdbf4083a447da4396ac3100c41768323

Observation df2d3824-06a7-4b5c-8a87-970f6941ab1c · outbound

This paper cites Deep Residual Learning for Image Recognition.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Deep Residual Learning for Image Recognition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.418594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.418594Z digest=sha256:2f5764ea1413e2b7977243abb18b10faa962e84a6ad35dfa7eaab1c98166fecb

Observation dcd6d787-4401-4495-a48c-fb8e8fc4c934 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Adam: A Method for Stochastic Optimization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.490384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.490384Z digest=sha256:fe88a1d9f3abf68da77a5f2048fe90b655df922d0b85148072b6a7830275b7ed

Observation cb3b4638-816a-4374-8a98-14465c52f7c8 · outbound

This paper cites Explaining machine learning classifiers through diverse counterfactual explanations.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Explaining machine learning classifiers through diverse counterfactual explanations

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:20.708715Z

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=2026-08-07T13:43:19.651775Z digest=sha256:941751606123c0507e5cab72f631ab03e653de918e176398c322cdbd5105fbdc

Observation 6026982e-2249-4435-9bae-3b375db85c6d · outbound

This paper cites Deep head pose: Gaze-direction estimation in multimodal video.IEEE Transactions on Multimedia, 17(11):2094–2107,.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Deep head pose: Gaze-direction estimation in multimodal video.IEEE Transactions on Multimedia, 17(11):2094–2107,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:20.523960Z

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=2026-08-07T13:43:19.727296Z digest=sha256:59f5ebe7df3f5d23a3a2115afb73962a4c9fe64958f4dd35202d5ec260b4605e

Observation 408d0ce9-2016-4ec7-89ee-88a93069df99 · outbound

This paper cites Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:20.144645Z

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=2026-08-07T13:43:19.880162Z digest=sha256:d1903a1fa57e63266bca4e243954b7572d4306fc80d1d78918c3cd4845b725e6

Observation 440b3987-9ddf-4ff4-8c3c-8d32285a0c04 · outbound

This paper cites Explaining Classifiers with Causal Concept Effect (CaCE).

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Explaining Classifiers with Causal Concept Effect (CaCE)

Reference 2015

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unresolved
no resolver link, observed 2026-08-07T13:43:19.343246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.343246Z digest=sha256:3ac73273df33168f14fdeaaa27821ce3ef57956cb414a3282f31aadc4d6e48e8

Observation 978e984a-1fa7-45a7-b52e-76b9820adb6b · outbound

This paper cites Concept-level Debugging of Part-Prototype Networks.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Concept-level Debugging of Part-Prototype Networks

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.070745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.070745Z digest=sha256:b18f009b3b4b8b533d8bf39c584706e214b8e9416e07e1f8927984982cd3aa96

Observation 92151362-930c-42a3-8ccf-14789ef87d96 · outbound

This paper cites On Empirical Comparisons of Optimizers for Deep Learning.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI On Empirical Comparisons of Optimizers for Deep Learning

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.244192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.244192Z digest=sha256:a793b8668342a323a87fa1483e373266d8efef34311f88e9cd35454cac244626

Observation 633a4809-6b3c-4c65-9048-8c7ba649da8d · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI A Unified Approach to Interpreting Model Predictions

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.564402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.564402Z digest=sha256:dd4f05e2ed98fc1dde8a3cebe1c3fe194be203d1ae16d6beb9e63ac010c4ce28

Observation 55d5548f-0bad-4dfd-855f-5ab61a8079f2 · outbound

This paper cites Facilitating object detection and recognition through eye gaze.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Facilitating object detection and recognition through eye gaze

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:20.875854Z

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=2026-08-07T13:43:19.013789Z digest=sha256:50fc9faf457c45e07cc60590e11720c23865afdf0e5c229ca2ed3aa35cf6b2dd

Observation 98a86a24-c24e-4b1f-99f8-eebc66881e3e · outbound

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

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI Explainable ai: A brief survey on history, research areas, approaches and challenges

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:20.336935Z

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=2026-08-07T13:43:19.797437Z digest=sha256:a20f13dc5e896b4576ba691717240c7971a2788f6e75e69999f19e5c9a75dfd1

Observation 57c442e3-cc71-4f4c-86ea-69ed18b79ae9 · outbound

This paper cites This Looks Like That: Deep Learning for Interpretable Image Recognition.

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI This Looks Like That: Deep Learning for Interpretable Image Recognition

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:19.144377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:19.144377Z digest=sha256:78dcbf6a6001bdcd567357355c68986439cc5a2b64694a6cd185adec0c9adeb5

Pith citing papers

No inbound Pith citation observations are available.