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Paper Citation Record · LEDGER

Graph Inverse Style Transfer for Counterfactual Explainability

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.17542.

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

pith.paper-citation-record.v1
2505.17542 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:39.180791Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved6
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b81d1f1b-ddf3-4697-93fe-1d4e5c50f65d · outbound

This paper cites Notice that GIST, before performing the backtracking mechanism, needs to overshoot the decision boundary of Φ given an input graph G.

Graph Inverse Style Transfer for Counterfactual Explainability Notice that GIST, before performing the backtracking mechanism, needs to overshoot the decision boundary of Φ given an input graph G

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd7612c6-78cf-4b7c-9ad9-32cc7603ea39 · outbound

This paper cites Categorical reparametrization with gumble-softmax.

Graph Inverse Style Transfer for Counterfactual Explainability Categorical reparametrization with gumble-softmax

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:43.650228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b110c91f-4e97-4984-8187-e22cd3f39c29 · outbound

This paper cites Coun- tergan: Generating counterfactuals for real-time recourse and interpretability using residual gans.

Graph Inverse Style Transfer for Counterfactual Explainability Coun- tergan: Generating counterfactuals for real-time recourse and interpretability using residual gans

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a75bd63-4d9a-4fa5-8370-f608cef34d9b · outbound

This paper cites Nodes are connected if the superpixels are adjacent, and each node can further be annotated with a semantic label.

Graph Inverse Style Transfer for Counterfactual Explainability Nodes are connected if the superpixels are adjacent, and each node can further be annotated with a semantic label

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c5868b27-cd74-4e3d-a889-4a443f5f2f01 · outbound

This paper cites doi: 10.1145/3618105.

Graph Inverse Style Transfer for Counterfactual Explainability doi: 10.1145/3618105

Reference 10

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unresolved
no resolver link, observed 2026-08-07T14:54:37.322423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a97517e1-cf44-4bec-94d8-37840bb0be89 · outbound

This paper cites URL https://doi.org/ 10.24963/ijcai.2021/214.

Graph Inverse Style Transfer for Counterfactual Explainability URL https://doi.org/ 10.24963/ijcai.2021/214

Reference 12

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unresolved
no resolver link, observed 2026-08-07T14:54:37.557264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76fd6afd-912e-45a0-9c8a-ba675ec80312 · outbound

This paper cites J., O’brien, L.

Graph Inverse Style Transfer for Counterfactual Explainability J., O’brien, L

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1d017536-4fa6-4b75-90df-c25cc2679369 · outbound

This paper cites ISBN 9781450390965.

Graph Inverse Style Transfer for Counterfactual Explainability ISBN 9781450390965

Reference 15

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unresolved
no resolver link, observed 2026-08-07T14:54:37.834408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de20966a-23e5-445e-8813-0672be63af87 · outbound

This paper cites an unresolved cited work.

Graph Inverse Style Transfer for Counterfactual Explainability Unresolved cited work

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5e5cd10e-fac1-4102-a48f-7dc33b12f714 · outbound

This paper cites A short survey of recent advances in graph matching.

Graph Inverse Style Transfer for Counterfactual Explainability A short survey of recent advances in graph matching

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a6e8355f-f759-44fa-ad80-ab0a69d1747e · outbound

This paper cites We train GIST with Adam optimizer with learning rate 10−3 and a weight decay of 10−5.

Graph Inverse Style Transfer for Counterfactual Explainability We train GIST with Adam optimizer with learning rate 10−3 and a weight decay of 10−5

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a391959e-9a80-46fd-8207-1f2f18e98f5a · outbound

This paper cites † depicts a real-world dataset and ‡ a synthetic one.

Graph Inverse Style Transfer for Counterfactual Explainability † depicts a real-world dataset and ‡ a synthetic one

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a7ffbe5-a163-49d8-a6cb-271b64f631c2 · outbound

This paper cites Following the generation done in (Lucic et al., 2022), there are 8 nodes on the base graph with 5 edges connecting them.

Graph Inverse Style Transfer for Counterfactual Explainability Following the generation done in (Lucic et al., 2022), there are 8 nodes on the base graph with 5 edges connecting them

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:41.023222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 277e2791-d29c-4206-a474-72e389e2635e · outbound

This paper cites Each image is represented by a conditional Markov random field graph, as illustrated in Figure.

Graph Inverse Style Transfer for Counterfactual Explainability Each image is represented by a conditional Markov random field graph, as illustrated in Figure

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:40.607706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation daffdce3-2fc8-470c-ab7e-ff928711591f · outbound

This paper cites The left-most RGB image is represented by a graph of superpixels (middle) with semantic labels b building, c car, v void, and ? unlabeled.

Graph Inverse Style Transfer for Counterfactual Explainability The left-most RGB image is represented by a graph of superpixels (middle) with semantic labels b building, c car, v void, and ? unlabeled

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:40.271601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c125fa18-a673-4497-b32b-466044a345de · outbound

This paper cites This metric, akin to runtime, assesses the computational complexity of the explainer, especially in distributed systems.

Graph Inverse Style Transfer for Counterfactual Explainability This metric, akin to runtime, assesses the computational complexity of the explainer, especially in distributed systems

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:40.108019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 204e163f-fad3-4441-b54d-604d969a920d · outbound

This paper cites an unresolved cited work.

Graph Inverse Style Transfer for Counterfactual Explainability Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f9d84aa2-4f43-43c8-98ee-df9549a90b49 · outbound

This paper cites Among all methods, GIST achieves the highest validity (0.87) and fidelity (0.17) w.r.t.

Graph Inverse Style Transfer for Counterfactual Explainability Among all methods, GIST achieves the highest validity (0.87) and fidelity (0.17) w.r.t

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d4ced596-111d-4f26-bf5e-f3b45598eb8b · outbound

This paper cites Learning and evaluating graph neural net- work explanations based on counterfactual and factual reasoning.

Graph Inverse Style Transfer for Counterfactual Explainability Learning and evaluating graph neural net- work explanations based on counterfactual and factual reasoning

Reference 2003

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 81b68907-719d-4cba-8adf-6ed20794cfac · outbound

This paper cites The dataset includes 600 enzymes from the BRENDA database (Schomburg et al., 2004), with 100 proteins sampled from each of the six Enzyme Commission (EC) top-level classes.

Graph Inverse Style Transfer for Counterfactual Explainability The dataset includes 600 enzymes from the BRENDA database (Schomburg et al., 2004), with 100 proteins sampled from each of the six Enzyme Commission (EC) top-level classes

Reference 2005

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cdf82522-05ab-46e1-9e7f-fe802ffa4b88 · outbound

This paper cites Q., Nguyen, T.

Graph Inverse Style Transfer for Counterfactual Explainability Q., Nguyen, T

Reference 2016

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c96c4095-45a2-45f0-ac21-5cebaa856fbb · outbound

This paper cites Preserving Color in Neural Artistic Style Transfer.

Graph Inverse Style Transfer for Counterfactual Explainability Preserving Color in Neural Artistic Style Transfer

Reference 2018

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ccb0d741-6f7a-4ac8-a4aa-1bf31faee418 · outbound

This paper cites Understanding Attention and Generalization in Graph Neural Networks.

Graph Inverse Style Transfer for Counterfactual Explainability Understanding Attention and Generalization in Graph Neural Networks

Reference 2019

Resolution
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local_arxiv, observed 2026-08-07T14:54:39.626813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 07c35032-0ce0-4272-a96b-1566454060b1 · outbound

This paper cites A., Prenkaj, B., and Stilo, G.

Graph Inverse Style Transfer for Counterfactual Explainability A., Prenkaj, B., and Stilo, G

Reference 2021

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raw_fallback, observed 2026-08-07T14:54:42.814876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d48ea0f7-7a1d-45e5-b05c-5c83b992076e · outbound

This paper cites and Bacciu, D.

Graph Inverse Style Transfer for Counterfactual Explainability and Bacciu, D

Reference 2022

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raw_fallback, observed 2026-08-07T14:54:43.030443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 23fe419b-cd5a-4e14-840a-6e389eb631ef · outbound

This paper cites Regulation (eu) 2016/679 of the european parliament and of the council.

Graph Inverse Style Transfer for Counterfactual Explainability Regulation (eu) 2016/679 of the european parliament and of the council

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-07T14:54:43.877341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 03fe2c38-d31b-41ee-80f9-4ded08657953 · outbound

This paper cites and Bunke, H.

Graph Inverse Style Transfer for Counterfactual Explainability and Bunke, H

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:54:42.662241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.