Pith. sign in

Paper Citation Record · LEDGER

Rethinking Interpretability in the Era of Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 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 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:23:13.659322Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models cites this paper.

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.

source=pdf_text observed=2026-08-12T17:23:13.659322Z digest=sha256:f0fe174ac6acde3b1fe8b6870fed9117da28bbaf99e1ff53331b174c90fff9f8

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:30.895004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:30.895004Z digest=sha256:40c0deed5be2a54242eda6b0f4dc88c981e7a5bcf98d09f357803c9f215c76f0

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

Resolution
unresolved
no resolver link, observed 2026-08-11T16:00:18.078161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:18.078161Z digest=sha256:5b0ad2027ee91e9a2d6e8d723af8171bd21c1021774a8f57a9b763f22417f183

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:46:59.524191Z digest=sha256:92a32baaefd51bb4486c39c8c97fc248e31b27a3e3fd0fd25505ad9cb9f4826f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:33:37.101375Z digest=sha256:cf856ad0d8a4012cd64d1dfadd9ec9908fc8f194dcba523652db412edcb30106

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

Resolution
unresolved
no resolver link, observed 2026-08-11T12:21:05.196423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:21:05.196423Z digest=sha256:17b151858fc84ba928fb2d0b46a2af894e2eb8c809f3e8308625b78a6c6b5b02

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:24.522799Z digest=sha256:6a560809cfd357e30b73bf6cf5392aac47aae8a35a6e4a5b23d0f5d6b0f81f7a

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

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:25.683110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:25.683110Z digest=sha256:6ec4925eb0273fdeb11c02be5f6e046fd3ae794808c4e82ebc3a79848676d30d

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

Resolution
unresolved
no resolver link, observed 2026-08-10T19:49:55.672359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:49:55.672359Z digest=sha256:1e8d590fa58bd0c060c467c2128f0370f6d8c5bb04f53f2f2bd0b484936c70e2

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:22:02.172176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:22:02.172176Z digest=sha256:bc876460e57954e5e2fae37d75259cf63f9763fb87d3bea7eb6797513b5f0d3a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:55:12.307397Z digest=sha256:45ce81f260e1bc4bb98750655850d2f02efbbc0929edafe75c50f4a2f47bac1c

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

Resolution
unresolved
no resolver link, observed 2026-08-09T06:03:35.989821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T06:03:35.989821Z digest=sha256:f61a9b366131bd4aa49287329ae53d5f3a2332032a9502581286424f80e9c2ab

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:40.448182Z digest=sha256:caf0ae9a70f4fb38d71b38597c843626b75f4512b5e0156c9cd2491e956dfb86

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:11.736293Z digest=sha256:33c1dc27f26e58e09b060eee911b5db5128750f854670af76b8fd142526e05b2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:33.633416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:33.633416Z digest=sha256:350b4de44e2788ef5ec9284fd0c08ba35a73efef9a47afb4594f059ed94e67c0

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

Resolution
metadata mismatch
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T10:14:23.020105Z digest=sha256:02b1d8d403309d9596b44cff57de70f828adc611ff08e8a8a2eb37a3965c0dd4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:15.327351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:15.327351Z digest=sha256:768ef19c43dd95e83d7b4ac1fd4b9d7d207091feeaee9121d49894dd9aa7f0c1

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

Resolution
metadata mismatch
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-18T13:17:33.815644Z digest=sha256:c2406f521926dea103a6eb23838fa1142077c6924a36ff50b75b048b256d7543

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:51.061957Z digest=sha256:9d273e9cf0bf2e744dc34d4b1dd00b259a5118855332e42921c075397e24c84d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:21:00.401014Z digest=sha256:fedc530a5a8cece5b6633752ece794ee4a4fe83c4a82c4e229a3c80c262c522d

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T20:18:20.610845Z digest=sha256:38713eed49571550fe6006af49ced5213330ed396344850d7c7f2bd1c22e01a7

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T21:07:05.010401Z digest=sha256:33c38f9f670268db4ad173065912ebe19fe4509e7a26f12aa768faafee961f47

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

Resolution
verified exact
orphan_title_repair, observed 2026-05-13T17:16:34.277091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:69970fa72f573a9282d18a39cf532d39bd0733ba8ece325172b82707aab62abd

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

Resolution
metadata mismatch
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:35:36.541995Z digest=sha256:bd9e4ffd3df23d4c87a7c2a5b2e0466aeae5fa3710766359a621839ea4a65342

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

Resolution
verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T00:10:29.122196Z digest=sha256:3a8e51295a0b58c44089fb017cac4b18d8509a310c1f00c27d477d5f57511fb7

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:2cf5fb0fafae94ea0e19f60c7e122e3b802f49346d3a07e5626fc0713b30c449

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:fba9898b2c557c66612b31e247710c9e2190ce304ed3255da3a1a359e427558b

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

Resolution
verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-12T03:36:12.915133Z digest=sha256:c007f18d307dd1978b76e8343e3d8f9e736ed18e6a1e87a00ae592cad88de534

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

Resolution
verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T07:29:14.545746Z digest=sha256:b7f99f9054a639299bc5499fc6f4bc650838779dc082b6c8c850ed48d1f68bf2

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-21T07:57:49.746594Z digest=sha256:f42fba8d8f80ff832e09919934359ba3648c3fc25d9cb00a8cee73a62fa6ed23

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T21:50:38.213816Z digest=sha256:a01cc78f301e16f9da27b956dc6199d97ad8e09df6cbdcc39b50d3b38d2f657e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-20T22:28:15.567273Z digest=sha256:f50b99b0028b84bb28c9fd19f5d778a592c8d704ce73776cebd908ceb972fa38

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T12:31:21.660647Z digest=sha256:d47dfb66b3eda8b3d405d5303af0725fd398e37301b7c8b2321e770e1bbf22e2

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

Resolution
metadata mismatch
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T14:25:26.645123Z digest=sha256:c659b47855538edead2ba39ee9dd6c0a5b3752bfa1fc122a99b77c80062a84b4

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

Resolution
verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T06:54:48.941504Z digest=sha256:a7058b93ecd7783e09587f019ab874bb65a69a7cf0abe4039796c57dd8ac02c9

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

Resolution
metadata mismatch
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:d34f9ad1685b90bb470553c1eb5e3a304a54969cf50e5dde5f6e24df6cabd237

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=sha256:3ecda01448db87241ecbb287a2a77dc7b600d8437cd1468365160952885595db

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=sha256:4ad3e217567d767ce0711c0cf47d0e70f5ed6b852920d6027d32774e09332eac