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Paper Citation Record · LEDGER

Rethinking Interpretability in the Era of Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2402.01761.

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

pith.paper-citation-record.v1
2402.01761 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:42:30.895004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:29:51.416643Z

Reference resolution

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Outbound references

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Pith citing papers

Observation 57100d3e-84c9-4093-93ce-6b367846447e · inbound

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing cites this paper.

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing Rethinking Interpretability in the Era of Large Language Models

Reference 226

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Observation 8be76181-f3a0-4d03-8045-313537f5697b · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine Rethinking Interpretability in the Era of Large Language Models

Reference 180

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Observation 4b546558-a448-4d4f-8033-5d631e295cda · inbound

Multilingual and Explainable Text Detoxification with Parallel Corpora cites this paper.

Multilingual and Explainable Text Detoxification with Parallel Corpora Rethinking Interpretability in the Era of Large Language Models

Reference 69

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no resolver link, observed 2026-08-11T14:46:59.524191Z

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Observation 66c0bcd5-b4ef-46f4-b579-e75b2d13954c · inbound

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rethinking Interpretability in the Era of Large Language Models

Reference 13

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no resolver link, observed 2026-08-11T12:33:37.101375Z

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source=pdf_text observed=2026-08-11T12:33:37.101375Z digest=sha256:f5f46eb5de63f07c0b27778487680f64d096a1d1d6274f579a23fc8a74f5c623

Observation 2b83efdf-7b7d-4039-bf50-f3c344ce3852 · inbound

A Survey on LLM Inference-Time Self-Improvement cites this paper.

A Survey on LLM Inference-Time Self-Improvement Rethinking Interpretability in the Era of Large Language Models

Reference 12

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Observation e04274d3-da37-4ee8-b46a-ce6af4f555bf · inbound

A Decade of Deep Learning: A Survey on The Magnificent Seven cites this paper.

A Decade of Deep Learning: A Survey on The Magnificent Seven Rethinking Interpretability in the Era of Large Language Models

Reference 44

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no resolver link, observed 2026-08-11T16:10:24.522799Z

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source=pdf_text observed=2026-08-11T16:10:24.522799Z digest=sha256:6b1e68e740c254a4f9e0a374d541a5037952c34604ba1bd53e79d00798f726cc

Observation 16430ce2-4416-41eb-9383-f4e9345a2180 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research Rethinking Interpretability in the Era of Large Language Models

Reference 143

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source=pdf_text observed=2026-08-10T21:39:25.683110Z digest=sha256:c2802cfc2eced26dcae5680976d2405591c604d7a95b75aeddb01e7410a8ec49

Observation 181e807f-f182-4ca5-80f5-2df9df443598 · inbound

A Survey of Research in Large Language Models for Electronic Design Automation cites this paper.

A Survey of Research in Large Language Models for Electronic Design Automation Rethinking Interpretability in the Era of Large Language Models

Reference 55

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source=pdf_text observed=2026-08-10T19:49:55.672359Z digest=sha256:7ca4d4ac60101453da23294a25cc3fbf3997439e3683420c71c435de4303cb83

Observation c304f892-3452-4179-9cc5-5bffb7808da0 · inbound

Making Sense Of Distributed Representations With Activation Spectroscopy cites this paper.

Making Sense Of Distributed Representations With Activation Spectroscopy Rethinking Interpretability in the Era of Large Language Models

Reference 19

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source=pdf_text observed=2026-08-10T14:22:02.172176Z digest=sha256:a4706652813b197d04ec2ce402d02541bd16858311121560ebab5d67a38fca55

Observation cd0068f1-446a-4312-805c-f38ca9aa95e8 · inbound

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise cites this paper.

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise Rethinking Interpretability in the Era of Large Language Models

Reference 40

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no resolver link, observed 2026-08-10T13:55:12.307397Z

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Observation 1f88acca-01d4-4eee-ab54-a94162c95d28 · inbound

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates cites this paper.

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates Rethinking Interpretability in the Era of Large Language Models

Reference 2024

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source=pdf_text observed=2026-08-09T06:03:35.989821Z digest=sha256:da30369aec26d9f17807ce56e168f2137751a2f97eaa1211568ee951743ceaef

Observation f2ab0b8c-e0ba-4535-9402-dc1449b64c2b · inbound

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? cites this paper.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Rethinking Interpretability in the Era of Large Language Models

Reference 42

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Observation 9b9f597f-a809-496c-8436-e7cbff27b76f · inbound

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? cites this paper.

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? Rethinking Interpretability in the Era of Large Language Models

Reference 71

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Observation d9c2fd0b-a5f0-43e6-9b73-3e9beb4ed539 · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs Rethinking Interpretability in the Era of Large Language Models

Reference 48

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Observation 1554916f-10ce-4e70-8c7f-7deb3218ad82 · inbound

Large Language Models for Combinatorial Optimization of Design Structure Matrix cites this paper.

Large Language Models for Combinatorial Optimization of Design Structure Matrix Rethinking Interpretability in the Era of Large Language Models

Reference 60

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arxiv_id, observed 2026-05-19T10:17:16.236705Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6950afe3-fd9f-4f20-bd54-27a754e0ab06 · inbound

Benchmarking Foundation Models with Multimodal Public Electronic Health Records cites this paper.

Benchmarking Foundation Models with Multimodal Public Electronic Health Records Rethinking Interpretability in the Era of Large Language Models

Reference 51

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Observation 59d64e35-1c8c-49ef-a3d5-56bce2a7a714 · inbound

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning cites this paper.

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning Rethinking Interpretability in the Era of Large Language Models

Reference 38

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arxiv_id, observed 2026-05-18T13:21:24.284941Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T13:17:33.815644Z digest=sha256:87b94304bc065a356043a651acd8d2d54dd27e45f07e2abf5df45b98a179c348

Observation e0c75b9e-3880-4ffa-b089-6aaf9745fda5 · 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 Rethinking Interpretability in the Era of Large Language Models

Reference 27

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Observation e3497852-72b8-4a0f-9fd3-e4dbecbf4aaf · inbound

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering cites this paper.

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering Rethinking Interpretability in the Era of Large Language Models

Reference 32

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Observation fa0d4346-6529-4856-a176-40015d1b37fe · inbound

The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning cites this paper.

The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning Rethinking Interpretability in the Era of Large Language Models

Reference 13

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arxiv_id, observed 2026-05-15T20:20:17.731301Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d477991a-c904-4746-8edf-501e54a3d7b7 · inbound

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning cites this paper.

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning Rethinking Interpretability in the Era of Large Language Models

Reference 15

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arxiv_id, observed 2026-05-14T21:18:00.417559Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ecc7328d-b113-4e7f-8c32-a4b8e1d6db70 · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents Rethinking Interpretability in the Era of Large Language Models

Reference 37

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fe2d8842-bc18-4b9b-ac46-9dbe794a02b2 · inbound

Wearable AI in the Era of Large Sensor Models cites this paper.

Wearable AI in the Era of Large Sensor Models Rethinking Interpretability in the Era of Large Language Models

Reference 33

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arxiv_id, observed 2026-05-11T08:30:58.085474Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7c9be7ab-854e-45c9-b177-17b7e97b7413 · inbound

The Cylindrical Representation Hypothesis for Language Model Steering cites this paper.

The Cylindrical Representation Hypothesis for Language Model Steering Rethinking Interpretability in the Era of Large Language Models

Reference 13

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arxiv_id, observed 2026-07-01T00:15:09.233787Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c9c71ec9-8cb7-4f4d-a605-36fb072b54ff · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Rethinking Interpretability in the Era of Large Language Models

Reference 151

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arxiv_id, observed 2026-05-11T07:45:59.527584Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 23d822fa-e2f3-4bf7-b038-7644a55244bf · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Rethinking Interpretability in the Era of Large Language Models

Reference 136

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arxiv_id, observed 2026-05-11T08:01:00.704109Z

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Observation 053926bd-df0b-4f4c-944b-2756ed6cc253 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Rethinking Interpretability in the Era of Large Language Models

Reference 121

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arxiv_id, observed 2026-05-12T03:36:19.929005Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c53fb89d-009c-4269-b1e2-75693936b943 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Rethinking Interpretability in the Era of Large Language Models

Reference 121

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arxiv_id, observed 2026-05-13T07:32:30.406987Z

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Observation 070e7ab4-c229-4f64-ae4a-f1bbd0dbaeb5 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Rethinking Interpretability in the Era of Large Language Models

Reference 121

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arxiv_id, observed 2026-05-21T07:59:50.284710Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 589b2628-81eb-45a5-9b2e-a89db738cac6 · inbound

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting cites this paper.

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting Rethinking Interpretability in the Era of Large Language Models

Reference 35

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arxiv_id, observed 2026-05-14T21:53:02.538438Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 40a66ea1-56bb-43ba-a156-d75a73cfe718 · inbound

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance cites this paper.

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance Rethinking Interpretability in the Era of Large Language Models

Reference 34

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arxiv_id, observed 2026-05-20T22:29:09.083855Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2277dc4f-d268-4d4a-9953-1ee21464f567 · inbound

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations cites this paper.

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations Rethinking Interpretability in the Era of Large Language Models

Reference 12

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arxiv_id, observed 2026-06-29T12:33:24.308042Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 87ed5ee1-c989-4b67-8c07-cdea98abf7ed · inbound

AnnotateThis: Analyzing a human-LLM system for annotating social media data with the concept of climate change mitigation pessimism cites this paper.

AnnotateThis: Analyzing a human-LLM system for annotating social media data with the concept of climate change mitigation pessimism Rethinking Interpretability in the Era of Large Language Models

Reference 76

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arxiv_id, observed 2026-07-03T03:57:38.270925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cdd1c099-0457-4ce7-a399-93874db4d1bd · inbound

Embodied Explainability and Ontological Obstacles: Why We Struggle to Explain the Answers of Large Language Models (LLMs) cites this paper.

Embodied Explainability and Ontological Obstacles: Why We Struggle to Explain the Answers of Large Language Models (LLMs) Rethinking Interpretability in the Era of Large Language Models

Reference 100

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arxiv_id, observed 2026-07-04T12:29:51.417964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ee2f6617-1ff8-42c1-ac8a-ad7f8b8de149 · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios Rethinking Interpretability in the Era of Large Language Models

Reference 9

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arxiv_id, observed 2026-07-03T17:58:46.719376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:efe51631d1281d248d1a7bac83a8286b13a7355015cb7a998221252f63a64a1f

Observation f750be8d-e374-406c-a707-d1f81c4eea69 · inbound

Interpretable Adaptive Sampling for LLM Test-Time Scaling cites this paper.

Interpretable Adaptive Sampling for LLM Test-Time Scaling Rethinking Interpretability in the Era of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T05:02:10.688027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:02:10.688027Z digest=sha256:acbc0233641b1a1dd57423c29c10fcc571cd7db849fb76f91450da3ef2a161f9

Observation 93d3ee2c-8411-4f8a-bea0-3cafc2de3487 · inbound

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies cites this paper.

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Rethinking Interpretability in the Era of Large Language Models

Reference 160

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:47.864876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:47.864876Z digest=sha256:fff7ccf71b49797b107c449aca94aa8f5c94b34ce02ea07dc1d4abf8dbe0c60b