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Paper Citation Record · LEDGER

Rethinking Interpretability in the Era of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:40.448182Z

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

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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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no resolver link, observed 2026-08-07T14:33:40.448182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-07T12:35:11.736293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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no resolver link, observed 2026-08-06T15:50:15.327351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-04T09:08:51.061957Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:51.061957Z digest=sha256:9f45dfecb67351754742a9fe8ca7aceda76cee9c6a51f050e0dcb795ce001e0e

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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no resolver link, observed 2026-08-03T12:21:00.401014Z

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Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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verified exact
arxiv_id, observed 2026-05-14T21:18:00.417559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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verified exact
arxiv_id, observed 2026-05-11T07:45:59.527584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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Source-reported events for the cited work

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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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 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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