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Paper Citation Record · LEDGER

From Understanding to Utilization: A Survey on Explainability for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2401.12874.

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

pith.paper-citation-record.v1
2401.12874 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:55.208855Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2fb3d780-6229-4e08-bb05-a164451c9cce · inbound

Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use cites this paper.

Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 21

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no resolver link, observed 2026-08-07T15:16:01.291455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:16:01.291455Z digest=sha256:fea5e1e5b05619b24120a60ddf758fde7a48cdb4d69849a886c95caf7a6003bc

Observation 42bf7bef-ce1e-4a87-b93f-7a4aa653eac6 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 43

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no resolver link, observed 2026-08-07T15:16:55.208855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:16:55.208855Z digest=sha256:33e9994e11ef6085c2351ccfaf797ec8ceefb452bfd484d7182d6d077ccb388b

Observation 01d663e2-a642-44d7-b2b9-e21dcc52bb8f · inbound

Composable Building Blocks for Controllable and Transparent Interactive AI Systems cites this paper.

Composable Building Blocks for Controllable and Transparent Interactive AI Systems From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 18

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no resolver link, observed 2026-08-07T11:29:23.150796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:29:23.150796Z digest=sha256:6208e401f1f9976c97c5c2e00a2c9969725f2a119a83c73e2be0060cb61ae6dc

Observation 22c3426f-06c1-4b99-9992-a9b5d13564e6 · inbound

xInv: Explainable Optimization of Inverse Problems cites this paper.

xInv: Explainable Optimization of Inverse Problems From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 34

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no resolver link, observed 2026-08-07T14:59:34.135252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:34.135252Z digest=sha256:d3521f12bc2a3f7d0b40c4c2c9eae36870d2d04fec8ac3ddc858bddf8fbf46e8

Observation 4a42c0aa-762b-4286-9f4c-5232c1d44928 · inbound

Towards Transparent AI: A Survey on Explainable Large Language Models cites this paper.

Towards Transparent AI: A Survey on Explainable Large Language Models From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 22

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unresolved
no resolver link, observed 2026-08-06T22:22:39.122539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:39.122539Z digest=sha256:b5298a637379858464dc6c3f79276bf30fa67fb6b534a048a336381a2d203f89

Observation b51b6e7d-2a48-43da-b905-484ebf77fdfe · inbound

Human-Centered Explainability in Interactive Information Systems: A Survey cites this paper.

Human-Centered Explainability in Interactive Information Systems: A Survey From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 173

Resolution
unresolved
no resolver link, observed 2026-08-06T20:37:21.487242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:37:21.487242Z digest=sha256:aef69de81df42fbefb521671175b0967d5186a52e21cd027043318d70e048ca1

Observation 85ea4238-9f33-4982-a98b-7fe06301aea9 · inbound

Transparent AI: The Case for Interpretability and Explainability cites this paper.

Transparent AI: The Case for Interpretability and Explainability From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 3

Resolution
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no resolver link, observed 2026-08-06T10:45:59.615953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:45:59.615953Z digest=sha256:cc25be2e84a4b098ef0f53b3b3506d05c2b9de18773292e9706d82f192c10212

Observation 8f722bc0-f402-4a0b-8486-de4ce3dd8a35 · inbound

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems cites this paper.

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:11:52.641686Z

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.

source=pdf_text observed=2026-05-18T22:11:00.992743Z digest=sha256:be012eb3ac2c5caf0368962df8e40501baa8eb35969b316d28250c485f3948cf

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:22.773964Z digest=sha256:44b0c005bda068ec9156925eb5bc1fa3608b0402840f7dfb7fcb5a1e26bcc6ea

Observation 1948b50a-8388-4d7e-a1d5-3996c4a2ca01 · inbound

Cross-Attention is Half Explanation in Speech-to-Text Models cites this paper.

Cross-Attention is Half Explanation in Speech-to-Text Models From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 54

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unresolved
no resolver link, observed 2026-08-04T15:52:10.194608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:52:10.194608Z digest=sha256:5b3f9d8e429bbece6f44e75e4826192bfc4ec1d4ed6912dfef9bda3b42af16a6

Observation c6f57bd4-0ddc-4f25-975f-fb59c5f70953 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T09:08:54.044314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:54.044314Z digest=sha256:9a6b835b242b7334296bbf2657d3f9a5684c5d3de5885b970630de6146077664

Observation 5b84b3ea-51f8-48ae-af3e-38b61cb86509 · inbound

Multi-agent Self-triage System with Medical Flowcharts cites this paper.

Multi-agent Self-triage System with Medical Flowcharts From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:55:19.761325Z

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.

source=pdf_text observed=2026-05-17T21:53:47.777529Z digest=sha256:4fc0c55c8e96e75db10737ddbb3acd0cf5ac10f2ad93fc5d465e0b747664a0a2

Observation 6ca29965-4eaa-45c5-849a-bae1b717fc23 · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T20:20:35.708369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:20:35.708369Z digest=sha256:fc30813ef7275fbb825995fab4aad131c92618f9180ef3455ea5d5d0119d1a8e

Observation e7db9e21-19fe-4bd2-871b-699d2fb6549b · inbound

Faithfulness Evaluation for Decoder-only LLM Attributions with Controlled Retained Information cites this paper.

Faithfulness Evaluation for Decoder-only LLM Attributions with Controlled Retained Information From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T12:26:58.067604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:26:58.067604Z digest=sha256:7c6fddcc05416246c380bc91dd0aaf52dfce76f98f9cfa4b160a3fbd3975b991

Observation b2d32560-4dc3-4334-aa57-14658f88198b · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 200

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T12:40:54.844681Z

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.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:93603373a6a7a1709f02cdd7086e201c1fecc3cff3cccd2dc22f73bbd668b077

Observation ede4cc69-6441-49a0-a6b2-7164743ab162 · inbound

Reasoning Fails Where Step Flow Breaks cites this paper.

Reasoning Fails Where Step Flow Breaks From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:00:55.861780Z

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.

source=pdf_text observed=2026-05-10T18:44:16.759723Z digest=sha256:d39f48745e72b30b58d22ee6148015ede0975655a9de8a9b773530df06695dc7

Observation c83605af-5eb3-4877-8392-7cf3e72a7019 · inbound

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks cites this paper.

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:38:42.824918Z

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.

source=pdf_text observed=2026-05-10T05:12:31.218055Z digest=sha256:0d2cc7921d34dcc7006c0257a4a1aa5749ab53fa1ac9f1bd29c71499e3312b26

Observation 326c2164-3ce4-49b4-b0f7-691a45c992e8 · inbound

Don't Lose Focus: Activation Steering via Key-Orthogonal Projections cites this paper.

Don't Lose Focus: Activation Steering via Key-Orthogonal Projections From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:06:08.760780Z

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.

source=pdf_text observed=2026-05-08T10:23:22.394860Z digest=sha256:3ac52e440ae1ed51928a6beb632b83be9b0ea60146faa114eb67324a1fb64a1d

Observation 1bd181fc-8a09-4030-afbc-055761c1e2bb · inbound

Multi-component Causal Tracing in Large Language Models cites this paper.

Multi-component Causal Tracing in Large Language Models From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:36:24.910730Z

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.

source=arxiv_source observed=2026-06-28T11:52:24.954950Z digest=sha256:db636806e1cbeeda75255480d36c9bea2df6ad1003d77ea88928277f82a1a196

Observation 7faa5456-3afb-470e-bc6b-db64f9c2c200 · inbound

From Plausible to Actionable: A Position on LLM Self-Explanations cites this paper.

From Plausible to Actionable: A Position on LLM Self-Explanations From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T21:49:37.516983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:49:37.516983Z digest=sha256:56ada20eb3d8f8c3eccf3ef9d6906f8ffaadc14d635471db646bb7e3ab051a13

Observation f347f07a-bfd7-49fb-abd0-a281dd99b813 · inbound

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection cites this paper.

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 37

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no resolver link, observed 2026-08-01T11:15:44.458294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:15:44.458294Z digest=sha256:4de14429a960b2ef725fc5b8f5d4f51c501309ad238fe500e969db69c437f3ad

Observation 95e1a752-1df6-4cd4-a0f2-2e17150a4548 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 10

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no resolver link, observed 2026-08-04T13:43:50.081084Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:43:50.081084Z digest=sha256:5c719156ddee01aa064457de806e6eca5072742794d8cf6dd9393f69ead33830

Observation e2d7427d-6c43-4ba3-a3b6-85de248ac578 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 10

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no resolver link, observed 2026-08-07T00:11:47.463796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:11:47.463796Z digest=sha256:1e1434b92f51840fa91f44be51a39cfb30b438d870cad65d673279785c9bada9