Paper Citation Record · LEDGER

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.05199.

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

pith.paper-citation-record.v1
2509.05199 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:33:24.437873Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

29 of 29 outbound references displayed

verified exact3
verified fuzzy15
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation add3b42d-a901-47b6-a953-eda06f2836b6 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:29.431078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc33772b-2aac-48b2-985e-d497e74a1ace · outbound

This paper cites On selective, mutable and dialogic XAI: A review of what users say about different types of interactive explanations.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework On selective, mutable and dialogic XAI: A review of what users say about different types of interactive explanations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:29.213943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d90700e4-a703-4298-9696-d528536f6dc0 · outbound

This paper cites XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:21.720587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 301d64e5-eb06-45c1-9105-9bdeb01363f0 · outbound

This paper cites Unveiling the Black Box: The Significance of XAI in Making LLMs Transparent.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Unveiling the Black Box: The Significance of XAI in Making LLMs Transparent

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:28.932487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19d2f88a-dde6-4547-a4bb-84356431fb19 · outbound

This paper cites Is Conversational XAI All You Need? Human-AI Deci- sion Making With a Conversational XAI Assistant.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Is Conversational XAI All You Need? Human-AI Deci- sion Making With a Conversational XAI Assistant

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:28.719990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation baba5e21-da2f-46da-9181-8ba518c9baa3 · outbound

This paper cites Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:25.741787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a09d8a7a-b75a-4b5f-baec-e4de269bcef6 · outbound

This paper cites Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:28.512864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28c25bb4-38f2-4259-8266-674a44bebb3d · outbound

This paper cites Opacity as a Feature, Not a Flaw: The LoBOX Governance Ethic for Role-Sensitive Explainability and Institutional Trust in AI.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Opacity as a Feature, Not a Flaw: The LoBOX Governance Ethic for Role-Sensitive Explainability and Institutional Trust in AI

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:25.493074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7884c44c-8964-40a3-8cfe-9c236358f505 · outbound

This paper cites An overview of model uncertainty and variability in LLM-based sentiment anal- ysis: challenges, mitigation strategies, and the role of explainability.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework An overview of model uncertainty and variability in LLM-based sentiment anal- ysis: challenges, mitigation strategies, and the role of explainability

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T05:33:25.213263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b539829e-c74c-4b1d-a066-e5d6ab51c952 · outbound

This paper cites The Effect of Model Size on LLM Post-hoc Explainability via LIME.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework The Effect of Model Size on LLM Post-hoc Explainability via LIME

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:24.901049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8c57e49-ec14-4c38-86e5-67a538f48669 · outbound

This paper cites Against the opacity, and for a qualitative understanding, of artificially intelligent technologies.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Against the opacity, and for a qualitative understanding, of artificially intelligent technologies

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:28.189160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17d131a2-97ac-4076-bcc4-c5ace6f3e86a · outbound

This paper cites Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:27.967215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ece9b557-aa9d-4cf1-824d-1872b7de1e45 · outbound

This paper cites JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.555010Z

Source-reported events for the cited work

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Observation 8ea1ed5f-5a58-4096-b443-3e143bf72099 · outbound

This paper cites JAILJUDGE: A Comprehensive JAILBREAK judge benchmark with multi-agent enhanced explaination evaluation frameowrk.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework JAILJUDGE: A Comprehensive JAILBREAK judge benchmark with multi-agent enhanced explaination evaluation frameowrk

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:27.736411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8258cc5f-d708-499d-b93d-8ad808ecb291 · outbound

This paper cites From Understanding to Utilization: A Survey on Explainability for Large Language Models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.773964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961bcad0-664d-45c3-81b3-44e8bf75f045 · outbound

This paper cites CELL your Model: Contrastive Explanations for Large Language Models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework CELL your Model: Contrastive Explanations for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.881011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9aa147-d8b8-47d3-b4c6-669d4e9e2da9 · outbound

This paper cites XAI for All: Can Large Language Models Simplify Explainable AI?.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.987092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5efb3e-c2c4-4e11-b58f-c761f7397427 · outbound

This paper cites A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.032422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953f30f6-cf82-41d2-bd8a-c86dd98e2c28 · outbound

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

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explanation in artificial intelligence: Insights from the social sciences

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:27.544223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7deacaa3-df9e-4ef5-8d71-f78a9fe162c8 · outbound

This paper cites Explainable artificial intelligence (XAI): from inherent explainability to large language models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explainable artificial intelligence (XAI): from inherent explainability to large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.265992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0580eb3-a96c-487c-8757-a65f2df63d06 · outbound

This paper cites A practical review of mechanistic interpretability for transformer-based language models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework A practical review of mechanistic interpretability for transformer-based language models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.398243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d332e4-cdb2-46e5-84f2-a8f1c695a26d · outbound

This paper cites Generative to Agentic AI: Survey, Conceptualization, and Challenges.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Generative to Agentic AI: Survey, Conceptualization, and Challenges

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.477204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437f2350-f74b-40eb-91f0-7a1711a18e06 · outbound

This paper cites Bridging the Gap Between Explainability and Large Language Models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Bridging the Gap Between Explainability and Large Language Models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:27.326734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5202e0a5-e22a-4578-9cd6-01795749b48b · outbound

This paper cites Explaining machine learning models with interactive natural language conversations using TalkToModel.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explaining machine learning models with interactive natural language conversations using TalkToModel

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:27.074556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc84ea1a-a86a-482f-a971-962331056f87 · outbound

This paper cites The rationality of explanation or human capacity? Understanding the impact of explainable artificial intelligence on human-AI trust and decision performance.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework The rationality of explanation or human capacity? Understanding the impact of explainable artificial intelligence on human-AI trust and decision performance

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.765729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e18a8090-9ebf-407a-aa04-e24ffaddc9af · outbound

This paper cites Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:24.039039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269aed76-e58c-4819-8817-f26108b0fd38 · outbound

This paper cites Editing factual knowledge and explanatory ability of medical large language models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Editing factual knowledge and explanatory ability of medical large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.547469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3a2804a-e53e-45e1-8ffd-0276e10913d9 · outbound

This paper cites Explainability for large language models: A survey.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explainability for large language models: A survey

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.298960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62d8e282-8ffc-43ad-8bf2-85572b71ef6d · outbound

This paper cites Explanation in the era of large language models.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Explanation in the era of large language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.047386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.