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Paper Citation Record · LEDGER

MUPAX: Multidimensional Problem Agnostic eXplainable AI

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.13090.

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

pith.paper-citation-record.v1
2507.13090 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:36:09.894470Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

16 of 16 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation adc2fedd-1bd7-4092-9852-e25bc541aa8b · outbound

This paper cites Deep learning methods for anatomical landmark detection in video capsule endoscopy images.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Deep learning methods for anatomical landmark detection in video capsule endoscopy images

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:12.562495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:08.964292Z digest=sha256:cc6a7a35c9d009060f4ec34fa88e05f35e17c27c7dcd03a43cb7669609bd3e24

Observation 03dc3318-bbf3-4026-93c2-1875b3a51278 · outbound

This paper cites Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:10.484506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.246621Z digest=sha256:89f2665091811543309fda721cdbe2a29d30a6665f9a22db4076221d2e13bcd9

Observation b9790695-b32f-4a9d-a499-fbbe31ba4c64 · outbound

This paper cites Derks and A.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Derks and A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:11.833210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.427311Z digest=sha256:0613cc4df6c5a4c8c103bb1aedb732c629225552ab1472aa1e45ca228f8537fd

Observation 44cc1aa5-8b73-4d2c-8ff6-70914ee10997 · outbound

This paper cites Biased Models Have Biased Explanations.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Biased Models Have Biased Explanations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:09.517721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:09.517721Z digest=sha256:f45f79278b9efc6ac602851ffc3d21131eeececec986d1bdf34b4760a9880998

Observation 3c7427d4-deca-4207-89d2-3864d2208010 · outbound

This paper cites an unresolved cited work.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:36:11.360016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.578677Z digest=sha256:95da83c21bda8801a55cc51da7ec5f3c58a8b770323719e8232af65f88ddb312

Observation 23e85175-36d4-4d5b-ad72-1e9f69c7810b · outbound

This paper cites Kaadoud, L.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Kaadoud, L

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:11.127897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.633637Z digest=sha256:6e3089092fa6db17fb69359e6fe1693f74e445469f0495cb4670f4b72dd79491

Observation 40db4189-b63f-4ef1-90bc-6e8e7d0eac05 · outbound

This paper cites Molnar, G.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Molnar, G

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:10.739992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.743052Z digest=sha256:ff8a8fc22a40e948753021b6daadbf907e802594171a78e5a85ce651d48465c1

Observation 2a67b99b-8d54-44e1-bf60-3dfc63de21cc · outbound

This paper cites Cephalometric Landmark Detection across Ages with Prototypical Network.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Cephalometric Landmark Detection across Ages with Prototypical Network

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:10.084113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.894470Z digest=sha256:510956c1d357011334b288b8545299e93909d957574ebd92accdb255136cace0

Observation bed61468-c58a-4aa8-b451-ba975b9dcc90 · outbound

This paper cites an unresolved cited work.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Unresolved cited work

Reference 2007

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:36:11.592183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.464746Z digest=sha256:a1d151b23d7dcc3bef42de17c1ef68f94722c449669ce357b5841ead6d573f70

Observation 097ebfcd-aa5a-4114-9231-7a0b68632d59 · outbound

This paper cites Schlegel, D.L.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Schlegel, D.L

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:10.613010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.800146Z digest=sha256:0335ae53ca8c8cad44e72439eee7d0cb44aad69d8fff5bf25a08c18afff85921

Observation be6a96f5-cae6-4ab5-931f-2408caf4c10d · outbound

This paper cites A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation.

MUPAX: Multidimensional Problem Agnostic eXplainable AI A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:10.219743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.851916Z digest=sha256:59ca528d6161004c76689e6c0dee9852725eee6775bee818ad884bf86c3ab87f

Observation 1dbd2864-b103-4859-8db9-20eec23dbf92 · outbound

This paper cites Benchmarking and Survey of Explanation Methods for Black Box Models.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Benchmarking and Survey of Explanation Methods for Black Box Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:09.185007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:09.185007Z digest=sha256:8d04a3de92fa6236e0463ab18b34b384631843f55ad2a1d1d287d66e402fa6cf

Observation 37df3140-c72e-4cd2-b351-2daad8fc597d · outbound

This paper cites Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:10.345754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.344742Z digest=sha256:280bc4a757067a23c26a6602fdaab74298c00d1fe17f75edafe9d42f57d22769

Observation 53dd136b-e6ee-47b9-bf8a-a38ca57bd9bb · outbound

This paper cites Bhat, A.S.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Bhat, A.S

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:12.346310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.042785Z digest=sha256:3ab7a517be59f39704706e4eab66944e249e86106a6028d3f774096c0c4fdd61

Observation b3dfc9cb-6b51-4eeb-8167-1a957afbf658 · outbound

This paper cites Blanco-Justicia and J.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Blanco-Justicia and J

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:12.087529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.093501Z digest=sha256:01342179adea72bb2e1f14785a9b9743a8d608162d1a9978d6cf5b96727fce49

Observation 14835b04-0fcb-4c9e-8248-486c19eab135 · outbound

This paper cites Spatial-aware non-local attention for fashion landmark detection.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Spatial-aware non-local attention for fashion landmark detection

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:36:10.882988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:36:09.688450Z digest=sha256:538194cfe205108e5a31ca6c4a093cee4649a9bfa2437081a618f1f198a4333f

Pith citing papers

No inbound Pith citation observations are available.