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Paper Citation Record · LEDGER

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.02435.

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

pith.paper-citation-record.v1
2505.02435 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:05:50.494215Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b7a6ced-9e9e-421a-9734-3d9e22bbba95 · outbound

This paper cites write newline.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability write newline

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.348165Z digest=sha256:2b64db5f661a706373b0ff217186c5ea1497eb90987c79f6fabcaddab9b35f1c

Observation 1becf8c6-1e92-4f7d-8c26-75bed0c0e244 · outbound

This paper cites J., and Coskun, A.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability J., and Coskun, A

Reference 2

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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.

source=arxiv_source observed=2026-08-16T01:05:50.353359Z digest=sha256:34238eaa14229b0766e98de0c0bd0730dc8607ef890fe12de1600554cf794513

Observation d10f16f4-a113-447a-a073-5db1cc496f1a · outbound

This paper cites L., Hsu, W., and Tan, N.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability L., Hsu, W., and Tan, N

Reference 3

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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 39717fdc-e892-4e00-83f0-58563397090e · outbound

This paper cites an unresolved cited work.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Unresolved cited work

Reference 4

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.360957Z digest=sha256:d999ab50bc4211a6113dd7fcf90572992f5bb65acad2c5692218a8d4557c5e13

Observation c63a9918-dc51-4357-bc2a-79a9e9bd1cd8 · outbound

This paper cites Explanations based on the missing: Towards contrastive explanations with pertinent negatives.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Explanations based on the missing: Towards contrastive explanations with pertinent negatives

Reference 5

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.365114Z digest=sha256:586a1cf22fc04e8b7390fba3512f65c38b44a414ac5b8a18f6180520eb79cc21

Observation 48e945e9-b9d5-45fe-9c17-b36e1147d29c · outbound

This paper cites H., and Sch \"o lkopf, B.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability H., and Sch \"o lkopf, B

Reference 6

Resolution
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 6ee31be0-8af1-4050-98f6-f5b8d6d9e3f4 · outbound

This paper cites Against counterfactual miracles.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Against counterfactual miracles

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.

source=arxiv_source observed=2026-08-16T01:05:50.373029Z digest=sha256:751f5c0f349ad31f04de3227f298b1f3716304399811ed8ac4c3cd43a98f8c30

Observation a1f7a696-77fc-434c-9c7d-a990eb010707 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Towards A Rigorous Science of Interpretable Machine Learning

Reference 8

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unresolved
no resolver link, observed 2026-08-16T01:05:50.376873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.376873Z digest=sha256:1e90ba4f07a793dbcd8c0758c31476af5b80c21e7222ca09933922b2ada0ff9b

Observation ab51c964-70cb-4eb0-aa26-542cbe540b9c · outbound

This paper cites Asymmetric shapley values: incorporating causal knowledge into model-agnostic explainability.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Asymmetric shapley values: incorporating causal knowledge into model-agnostic explainability

Reference 9

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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.

source=arxiv_source observed=2026-08-16T01:05:50.380965Z digest=sha256:466e7d5aa3d481c7213e6d397f1462b277d8271a376c6466d920a86b2e94b497

Observation bac5bac2-037e-4462-9d2e-be4ef1ca4d62 · outbound

This paper cites G., and Claassen, T.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability G., and Claassen, T

Reference 10

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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.

source=arxiv_source observed=2026-08-16T01:05:50.384504Z digest=sha256:b88e2f767f400d0d43c6c269255b9c69a56f535307e4b04ae7e5f8692233316e

Observation c98b0586-a2b1-436a-9d35-a7f23e704e05 · outbound

This paper cites Statlog (German Credit Data).

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Statlog (German Credit Data)

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a8a79fe-030d-4be1-9e15-413849b7e281 · outbound

This paper cites Feature relevance quantification in explainable ai: A causal problem.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Feature relevance quantification in explainable ai: A causal problem

Reference 12

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.391918Z digest=sha256:c2f2407e18fc5dd63ee5597040adb6c7a8e79ee173abd72f97a37974f884180c

Observation 4db518cb-3f41-4dbe-a6b8-c2cc5c0cb9e0 · outbound

This paper cites Have we learned to explain?: How interpretability methods can learn to encode predictions in their interpretations.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Have we learned to explain?: How interpretability methods can learn to encode predictions in their interpretations

Reference 13

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.395628Z digest=sha256:cb41fe473815a55492686f84857ab25417e7b50358a2eead9d9131561fd81dd3

Observation 39eb4bd0-aebd-4de4-846b-0a1dfa7f94db · outbound

This paper cites On measuring causal contributions via do-interventions.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability On measuring causal contributions via do-interventions

Reference 14

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.399404Z digest=sha256:fb5eff6831bf68335911b95b0e93f6dcb48be91a172182adbe153c35d885419b

Observation 1a90233e-d463-4369-9df8-c3529e2abbf4 · outbound

This paper cites Model-agnostic counterfactual explanations for consequential decisions.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Model-agnostic counterfactual explanations for consequential decisions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.820234Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.403137Z digest=sha256:be39b8d7424306d97fdd8646c101fcf7dd37bcc17128b476d7e9187e0aefa3ff

Observation dc440618-b5ce-4ce6-b939-02a56a61a465 · outbound

This paper cites u gelgen, J., Sch \.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability u gelgen, J., Sch \

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.808860Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.406931Z digest=sha256:55d3ea8f888b2096a9ca46b83d32a63a4e2f75fbd7185af126433e482b5ecf0b

Observation ca8457ee-0bb6-4cc9-b620-e21f72314d00 · outbound

This paper cites Algorithmic recourse: from counterfactual explanations to interventions.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Algorithmic recourse: from counterfactual explanations to interventions

Reference 17

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.410536Z digest=sha256:df076ab87a9a8d4b4905a1e55256cb5454cb08eca93ca7c83f9fdc2d7f5949a8

Observation 2a6993c4-baaf-418b-9e20-f0e4318cbc07 · outbound

This paper cites A survey of algorithmic recourse: contrastive explanations and consequential recommendations.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability A survey of algorithmic recourse: contrastive explanations and consequential recommendations

Reference 18

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.414022Z digest=sha256:ea037389cc69dd3d9ceeeaafd57a5ede971b926e5ad3aee060c22c4ea1ac94a2

Observation 95dde2f5-bef1-46f0-895f-fa5620684423 · outbound

This paper cites On the relationship between explanation and prediction: A causal view.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability On the relationship between explanation and prediction: A causal view

Reference 19

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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 9e05172c-8ae0-4073-92e0-b3e7b0ec9957 · outbound

This paper cites L., Julian, K., and Kochenderfer, M.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability L., Julian, K., and Kochenderfer, M

Reference 20

Resolution
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 756493a8-c4ce-4929-99c1-203d7f89df30 · outbound

This paper cites an unresolved cited work.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 5ee3d06f-2b2a-4239-b627-2d617bb820e6 · outbound

This paper cites u gelgen, J., Sch \.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability u gelgen, J., Sch \

Reference 22

Resolution
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 f3e0ad6d-c7f9-4d46-87fa-33b8116a4a96 · outbound

This paper cites Inverse Classification for Comparison-based Interpretability in Machine Learning.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Inverse Classification for Comparison-based Interpretability in Machine Learning

Reference 23

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Source-reported events for the cited work

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Observation a473515d-6d46-43f5-a25d-7f380968612f · outbound

This paper cites an unresolved cited work.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Unresolved cited work

Reference 24

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.433512Z digest=sha256:cb14621f7ef8752d0a65844feadb20e4d7eee3b57c0dcee9492267e1414ae382

Observation d7810f96-be24-4bed-ab7e-cb239d9ae46c · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Explanation in artificial intelligence: Insights from the social sciences

Reference 25

Resolution
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.

source=arxiv_source observed=2026-08-16T01:05:50.438091Z digest=sha256:a67979df65b263a6a33355dc42a75b8f093faa712ee4efab0aafbc7a09d9860c

Observation 0f9ef20e-77db-4c63-9afe-79f4b267a541 · outbound

This paper cites Interpretable machine learning.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Interpretable machine learning

Reference 26

Resolution
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 2f04f01e-fc31-4523-af02-81c29f5cb10a · outbound

This paper cites Counterfactual identifiability of bijective causal models.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Counterfactual identifiability of bijective causal models

Reference 27

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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 916f2b19-e02f-4030-bf9c-5cfda99f23b9 · outbound

This paper cites Causality.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Causality

Reference 28

Resolution
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no resolver link, observed 2026-08-16T01:05:50.449555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.449555Z digest=sha256:9b19bb0dbbc4d4d4b860a39fbab011ba744d3dcf778dbb1e1e4eab4d9574bc9c

Observation 2b00ce0f-149c-42cd-a1e7-5d077eac877b · outbound

This paper cites Elements of causal inference: foundations and learning algorithms.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Elements of causal inference: foundations and learning algorithms

Reference 29

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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.

source=arxiv_source observed=2026-08-16T01:05:50.453011Z digest=sha256:f00abd50f54f56df915950b9ce7c00280b437155ca041610c67a9591dae75d1c

Observation e5b01159-1c35-48f9-b81a-f43abeb90af4 · outbound

This paper cites Face: feasible and actionable counterfactual explanations.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Face: feasible and actionable counterfactual explanations

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.661907Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.456771Z digest=sha256:02b8ef6220305633886961e8eec1e62c7e447b927caf1fb592cbf750345b66a4

Observation 5ba80e13-6d32-4055-9d92-e41b19b94ebe · outbound

This paper cites why should i trust you?.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability why should i trust you?

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.460196Z digest=sha256:fbc73dee401fd0dd6bf57d38308aa10a092e7c3b92ea8a7a1e892ea0d0a3d64c

Observation cd485fad-e01b-4fca-9c07-7a1800d7cfc1 · outbound

This paper cites Curious exploration via structured world models yields zero-shot object manipulation.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Curious exploration via structured world models yields zero-shot object manipulation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.644131Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.463822Z digest=sha256:ed8e7f39042ac9034d76690ed16b8de10c8ca3775e494eece454f3aa118914e6

Observation 484bd6aa-b2e8-4d23-94cc-f0cbdcb24f3e · outbound

This paper cites Counterfactual explanations can be manipulated.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Counterfactual explanations can be manipulated

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T01:05:50.467421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.467421Z digest=sha256:fe2b38cd7455e2e7a67ae44c6d25d9c173051c1b603eec4c1a4e25aba572f667

Observation d9e90142-83cb-429d-9e6b-4c6d50153265 · outbound

This paper cites Intriguing properties of neural networks.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Intriguing properties of neural networks

Reference 34

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unresolved
no resolver link, observed 2026-08-16T01:05:50.470969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.470969Z digest=sha256:b336772bf7e041d5d02f343b7987424355eb8cbf22ca39d00651f8f161612dd6

Observation 2eac2296-07ed-4784-85de-30b63c868414 · outbound

This paper cites u gelgen, J., Karimi, A.-H., Bhatt, U., Valera, I., Weller, A., and Sch \.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability u gelgen, J., Karimi, A.-H., Bhatt, U., Valera, I., Weller, A., and Sch \

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.624954Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.474936Z digest=sha256:38012658130f3175d59f635a93ab89d215af54abed9da03bff3aa1819e9cbec3

Observation 595ff73a-7bed-442e-80d3-1be3e5f34746 · outbound

This paper cites Backtracking counterfactuals.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Backtracking counterfactuals

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.612515Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.479620Z digest=sha256:7283d8420ac6ef6e83e9454130eba2084b7ffcb70dbe3efb99abe6830d9391e6

Observation 53aa4bea-7bfd-40f4-bb1c-003163a04c05 · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Counterfactual explanations without opening the black box: Automated decisions and the gdpr

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T01:05:50.483205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:05:50.483205Z digest=sha256:d4cf17ef0dfdb5d9ba932f97cd65c4e1cdf946af420f255a980647356e795d79

Observation 063102e0-9116-4f15-ba3b-a20e90b27438 · outbound

This paper cites Shapley flow: A graph-based approach to interpreting model predictions.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Shapley flow: A graph-based approach to interpreting model predictions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.593693Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.486779Z digest=sha256:a3a5927ae17c99b0c6e09b9cb3c0b089b48f53e8a5f2b262d52d4aadcdf5a7f4

Observation 4f3d094b-4768-4798-84f8-c3a0009f9426 · outbound

This paper cites Pixiu: A comprehensive benchmark, instruction dataset and large language model for finance.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pixiu: A comprehensive benchmark, instruction dataset and large language model for finance

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.581711Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.490475Z digest=sha256:895b0b63f711e887437a635ebe52c92c42eedc5040bce54e9f74fc0ee7a59da0

Observation e681bd0c-29be-4185-b265-dbd6401c7fcc · outbound

This paper cites and Bareinboim, E.

A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability and Bareinboim, E

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:05:50.567912Z

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.

source=arxiv_source observed=2026-08-16T01:05:50.494215Z digest=sha256:8c03305f81d0905ad31f638a3ddf6fbd8bd78c4eea83cecebf46c57e0ca1e4fd

Pith citing papers

No inbound Pith citation observations are available.