Paper Citation Record · LEDGER

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2411.12643.

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

pith.paper-citation-record.v1
2411.12643 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:23:13.796183Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:15:24.456605Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.912596Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy11
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd3b0cdf-a767-45a8-b050-800dc925eccf · outbound

This paper cites OpenAI ChatGPT.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models OpenAI ChatGPT

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.297802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ab99409-f3c6-4119-8384-3f6d4bf6bca1 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.654251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06312bea-c698-45c1-b524-8e863402dcf5 · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Rethinking Interpretability in the Era of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.659322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6770f1f-244a-4590-9d9d-b6f01fccddbf · outbound

This paper cites Sensible ai: Re-imagining interpretability and explainability using sensemaking theory.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Sensible ai: Re-imagining interpretability and explainability using sensemaking theory

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.283035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a8496e4-1c8c-4c69-8017-0655090bbee3 · outbound

This paper cites Interpretability Needs a New Paradigm.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Interpretability Needs a New Paradigm

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.669456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0b222c-c34a-4e0e-b8cb-c942a2d63df6 · outbound

This paper cites Towards Compositional Interpretability for XAI.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Towards Compositional Interpretability for XAI

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.674203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ec2678-7a48-47ae-9591-9bb260ff4d3f · outbound

This paper cites Concrete Problems in AI Safety.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Concrete Problems in AI Safety

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.679791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813a2281-ada3-440e-a18d-640ce6120031 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.267953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69fad9f2-d5b7-4d57-b5ce-393613f57313 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Scalable agent alignment via reward modeling: a research direction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.690025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5470e63a-b4a3-4c8b-9f33-59c30399e506 · outbound

This paper cites why should i trust you?.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models why should i trust you?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.695169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc6d75d-bfa7-452f-91f5-0c588d17b565 · outbound

This paper cites Lundberg and Su-In Lee.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Lundberg and Su-In Lee

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.699579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c461ac29-7eab-4cce-b6bc-ed356e69a677 · outbound

This paper cites Axiomatic attribution for deep networks.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Axiomatic attribution for deep networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.704379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216a52a2-d9f2-4df2-8e32-0a644efb5996 · outbound

This paper cites The disagreement problem in explainable machine learning: A practitioner’s perspective.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models The disagreement problem in explainable machine learning: A practitioner’s perspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.223564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7efc1af-98fe-467d-886a-4a867ccddfba · outbound

This paper cites Challenging common interpretability assumptions in feature attribution explanations.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Challenging common interpretability assumptions in feature attribution explanations

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:23:13.964198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06a841c0-8eff-48f0-8ac1-d1fa194766d5 · outbound

This paper cites When explanations lie: Why many modified bp attributions fail.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models When explanations lie: Why many modified bp attributions fail

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.206752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 826d2bfd-daf3-4d4b-8fbf-e68a31a75b98 · outbound

This paper cites Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.191405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00180610-d479-4ab6-8657-5870b50ca9fa · outbound

This paper cites On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.726770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26083d9f-6331-44b2-812d-eec4750f1535 · outbound

This paper cites Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.176522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 89a3ece3-08ae-47be-8983-45f177cf3209 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.735658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf79873-cb9b-46ce-8874-82631150018f · outbound

This paper cites SmoothGrad: removing noise by adding noise.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models SmoothGrad: removing noise by adding noise

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.740757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21ab42e-9988-4316-9c69-c7f322135476 · outbound

This paper cites Challenges and opportunities in text generation explainability.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Challenges and opportunities in text generation explainability

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.160634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72b4485f-8578-4970-a884-039f311128f0 · outbound

This paper cites Latent Concept-based Explanation of NLP Models.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Latent Concept-based Explanation of NLP Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.750093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7c65c5-2960-4aa3-8ca1-cfe682dd77ff · outbound

This paper cites Incorporating attribution importance for improving faithfulness metrics.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Incorporating attribution importance for improving faithfulness metrics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.145504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05fa0f11-2bb0-467f-b9bc-99b3df92f626 · outbound

This paper cites Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.759071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a36d42f-cd38-432d-a16f-9a8738efa9d8 · outbound

This paper cites Zoom in: An introduction to circuits.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Zoom in: An introduction to circuits

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.764091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0836c6b-9494-4ec7-a1e1-ee2f6bf52084 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Progress measures for grokking via mechanistic interpretability

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.768713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5d95c9-caef-4ef8-9358-edd2ed3a2b5d · outbound

This paper cites Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.773532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac3332d-3e53-4ae7-b3a8-a3aad85446f7 · outbound

This paper cites Beexai: Benchmark to evaluate explainable ai.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Beexai: Benchmark to evaluate explainable ai

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.119781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00f2ef3f-9f0a-4c1d-aa7b-978ccfc9ff06 · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.782841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baefdb0e-586c-44e0-b70e-554e67940c04 · outbound

This paper cites an unresolved cited work.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:23:14.094514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d88fbed0-c7e6-4981-b00c-79f8eed97ba5 · outbound

This paper cites Inouye, and Pradeep Ravikumar.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models Inouye, and Pradeep Ravikumar

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:23:14.079097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1154269-4273-4ffe-9406-72aedb8d0d9b · outbound

This paper cites AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers.

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T17:23:13.796183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 29f6b16d-900f-44a4-b202-ad2491b5fb31 · inbound

xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods cites this paper.

xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T10:15:24.456605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560ee7f5-ea5d-42fe-a69b-cbe4beeff20e · inbound

Faithfulness to Refusal: A Causal Audit of Neuron Selectors cites this paper.

Faithfulness to Refusal: A Causal Audit of Neuron Selectors DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-07T15:43:53.913859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.