Paper Citation Record · LEDGER

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.01306.

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

pith.paper-citation-record.v1
2607.01306 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T20:44:49.906276Z

measured 14 of 14 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43ef7ca2-9aee-45fb-9f46-4499552fa0d8 · outbound

This paper cites Interpretable machine learning: Fundamental principles and 10 grand challenges.Statistics Surveys, 16:1–85, 2022.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Interpretable machine learning: Fundamental principles and 10 grand challenges.Statistics Surveys, 16:1–85, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.800483Z

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.

Observation 08fbdc57-7144-4733-96e0-9301aea4a0a0 · outbound

This paper cites A survey of contrastive and counterfactual explanation generation methods for explainable artificial intelligence.Ieee Access, 9:11974–12001, 2021.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations A survey of contrastive and counterfactual explanation generation methods for explainable artificial intelligence.Ieee Access, 9:11974–12001, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.785262Z

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.

Observation 221bcaf8-450d-4115-9b40-6388feb19d33 · outbound

This paper cites A survey of algorithmic recourse: contrastive explanations and consequential recommendations.ACM Computing Surveys, 55(5):1–29, 2022.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations A survey of algorithmic recourse: contrastive explanations and consequential recommendations.ACM Computing Surveys, 55(5):1–29, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.781600Z

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.

Observation e4817455-e5e9-4a8e-a212-0ad9193546fe · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences.Artificial intelligence, 267:1–38.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Explanation in artificial intelligence: Insights from the social sciences.Artificial intelligence, 267:1–38

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.783386Z

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.

Observation 5cf0bdcc-9459-4ff2-a085-384f514e5a70 · outbound

This paper cites Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.172910Z

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.

Observation 0ebf026d-790e-478d-bb71-95ea38e9be5f · outbound

This paper cites Neurosymbolic ai: The 3 rd wave.Artificial Intelligence Review, 56(11):12387–12406.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Neurosymbolic ai: The 3 rd wave.Artificial Intelligence Review, 56(11):12387–12406

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.802370Z

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.

Observation 556b6da0-3099-4003-8a44-8729c22e3558 · outbound

This paper cites A neurosymbolic approach to counterfactual fairness.Neurosymbolic Artificial Intelligence, 2:29498732261443184, 2026.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations A neurosymbolic approach to counterfactual fairness.Neurosymbolic Artificial Intelligence, 2:29498732261443184, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.798502Z

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.

Observation c68d91f3-1b20-497a-bd16-5261e98aed2b · outbound

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

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Explaining machine learning classifiers through diverse counterfactual explanations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.804360Z

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.

Observation 30c5186c-ab2d-4df9-9e20-10d608925008 · outbound

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

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Counterfactual explanations without opening the black box: Automated decisions and the gdpr.Harv

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.793525Z

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.

Observation 470adb2b-24dc-4323-ae73-78b9cb8e0197 · outbound

This paper cites Vcnet: A self- explaining model for realistic counterfactual generation.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Vcnet: A self- explaining model for realistic counterfactual generation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.791429Z

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.

Observation 0e84fbb5-d331-448e-b3c1-9423a7dc2b34 · outbound

This paper cites Learning model-agnostic counterfactual explanations for tabular data.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Learning model-agnostic counterfactual explanations for tabular data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.796437Z

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.

Observation 9fb0feca-cbe7-466a-be94-c10cb6342b1c · outbound

This paper cites Answer-set programs for reasoning about counterfactual interventions and responsibility scores for classification.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Answer-set programs for reasoning about counterfactual interventions and responsibility scores for classification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.806133Z

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.

Observation aa48010e-681e-4a08-a75d-452f6e11182f · outbound

This paper cites A comprehensive review of neuro-symbolic ai for robustness, uncertainty quantification, and intervenability.Arabian Journal for Science and Engineering, pages 1–33, 2025.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations A comprehensive review of neuro-symbolic ai for robustness, uncertainty quantification, and intervenability.Arabian Journal for Science and Engineering, pages 1–33, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.789337Z

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.

Observation 311d0575-af2e-4540-8186-e3f9d8e0eeed · outbound

This paper cites Adm - cl er ic al.

PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations Adm - cl er ic al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:50:35.787333Z

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.

Pith citing papers

No inbound Pith citation observations are available.