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Paper Citation Record · LEDGER

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2401.06102.

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

pith.paper-citation-record.v1
2401.06102 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:06:55.856894Z

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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  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
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 0b6e1392-4cdc-4298-9c06-0f4bd94eaef8 · inbound

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 21

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no resolver link, observed 2026-08-08T21:06:55.856894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:06:55.856894Z digest=sha256:83d2ab6c9e3ee47111dfcb91bee6b3f2517bc8d3819e6a43039f85ff54a4e65d

Observation 4d60f8ba-7cfb-405e-99b6-77643daf5c7a · inbound

CryptoX : Compositional Reasoning Evaluation of Large Language Models cites this paper.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 5

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no resolver link, observed 2026-08-08T18:34:26.709405Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:34:26.709405Z digest=sha256:095f3978ddeacd42b3bc4980edf1ae6498cbfa80261a71d456e5cec92594a483

Observation 81aaf466-036e-4103-8824-ae3b8996ae75 · inbound

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

Large Language Models as Computable Approximations to Solomonoff Induction Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 26

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no resolver link, observed 2026-08-07T15:16:53.836079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:16:53.836079Z digest=sha256:185539db2213c4d7abac73e50cc898c75f7ed61fb4431f29d7634f7464131d8c

Observation dc296c7a-18f5-4ee5-9288-ea75b4a78a49 · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 14

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no resolver link, observed 2026-08-07T13:58:17.735491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.735491Z digest=sha256:88aec3346553529319e5c155ac747e52636eeedd4c9ca93a08483e5eb1619b54

Observation d11fcac3-a8fe-4f73-ae3c-2bbcfac4c01e · inbound

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation cites this paper.

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 7

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no resolver link, observed 2026-08-07T12:43:58.407638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:43:58.407638Z digest=sha256:4a16dd66bb276c5dc9a293aef2fa6185811a4e8eb1e37db3b70a47136e329cfd

Observation df06e2fa-0b1f-4ae8-969c-f9f447510e4a · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 18

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no resolver link, observed 2026-08-07T12:13:16.597821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:16.597821Z digest=sha256:79e7d3492cbe342a6ecc43046243177bcf30b0651c82f7be3284a8155740afaf

Observation 8361ecae-6a46-4cb4-ae2e-81414b0d81a5 · inbound

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis cites this paper.

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 13

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no resolver link, observed 2026-08-07T10:54:26.250403Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:26.250403Z digest=sha256:ddd4ed376a4c7b59fa5db36ec2964a5dd67eb3da29e6fe6b54eb60091725f007

Observation 15a5bb06-6583-43b2-9dbb-38e809088d8f · inbound

InverseScope: Scalable Activation Inversion for Interpreting Large Language Models cites this paper.

InverseScope: Scalable Activation Inversion for Interpreting Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 2022

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no resolver link, observed 2026-08-07T05:44:34.834001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:34.834001Z digest=sha256:d8dfd147f0b0eba818f7b286291d6750534c46f93da8b1ec4019ef1a323cc80c

Observation bfe61f4d-a69f-4eff-be56-4b9a06fbe3e3 · inbound

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models cites this paper.

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 15

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no resolver link, observed 2026-08-07T05:14:35.545740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:14:35.545740Z digest=sha256:d59011b523a8cd558150f8e6f5f8995f9fe99bb3b691867fb648cc54ce2a53c6

Observation 291f8cae-73b4-439b-b696-5721e76467c8 · inbound

InTraVisTo: Inside Transformer Visualisation Tool cites this paper.

InTraVisTo: Inside Transformer Visualisation Tool Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 26

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no resolver link, observed 2026-08-06T16:19:53.549749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:19:53.549749Z digest=sha256:837cfdea84d4611b106f89e512b3d410a3eb04d7fa51bbcb0d0b6ea5d217198c

Observation 857b65d7-ed30-430e-bb1a-9ca53f8b9457 · inbound

Do Activation Verbalization Methods Convey Privileged Information? cites this paper.

Do Activation Verbalization Methods Convey Privileged Information? Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 18

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arxiv_id, observed 2026-05-18T15:42:42.166153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T15:41:46.771905Z digest=sha256:1c748c90e7365bc5151ecf14f0e590998433a52ca13c95a1b21d4f7375b74d6c

Observation c44013b9-be36-45c1-9b32-7f63381fe514 · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:06:17.571862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T11:04:09.179536Z digest=sha256:2e817ce69e6fa0b828c25678f3af4c812f22dc7201cf3dcbb5ce3480b7f8b24b

Observation b80bd81c-7117-4b15-b07a-e7b709c6bf0b · inbound

TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models cites this paper.

TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 22

Resolution
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no resolver link, observed 2026-08-03T10:37:07.046561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:37:07.046561Z digest=sha256:88aee0856669c32eb932fddaf50dca734043d2bae1216a11d12f055847106aea

Observation 34d8eabe-0f18-4b51-b9db-9c2adc10d394 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:56.268541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:5335e2500df655e68d54aa0c4d19a88def052d853dc5cc65f514e2640c3aed09

Observation b7691134-1131-4a6a-bad7-9309e2b0f724 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 184

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:18:58.822170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T14:49:22.776209Z digest=sha256:6ce403482e52a931f6ea8932414441fa2ad7b8f2c046f11f0d1ef440aaa731bf

Observation 49bff0f5-aebd-4339-90d4-017645c32173 · inbound

From Correlation to Cause: A Five-Stage Methodology for Feature Analysis in Transformer Language Models cites this paper.

From Correlation to Cause: A Five-Stage Methodology for Feature Analysis in Transformer Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:01:11.998493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T06:56:18.332754Z digest=sha256:8794eccbeabb7308c4364858bf706ec55c666b52467321cbeb0fdf6736f1b97d

Observation c772149f-f537-486b-a697-ac1b9cefc13e · inbound

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration cites this paper.

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.764930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T11:35:59.397767Z digest=sha256:9af99d160e078e14163d9a455748b8b742538de2d105c0064e05b7023c4c0b56

Observation 8438d3df-f5b0-4b9b-b908-12fb91486295 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:23.412179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T14:35:48.292081Z digest=sha256:36c4331ca8d8ba64e9735a4ced9e83b21094e5c3cdd47528a2971992c3d5f8da

Observation 93af64e4-c58b-4ea8-ada5-6998db6aa8d2 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T12:41:20.310494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:41:20.310494Z digest=sha256:2273e8ee0bc8e1e1c7689609b5204d8fe28f22d1ed6249949c0f3b29791bf132

Observation f64d5060-9643-4671-a3f9-0c090bc4dc26 · inbound

PRISM: Recovering Instruction Sets from Language Model Activations cites this paper.

PRISM: Recovering Instruction Sets from Language Model Activations Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 18

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verified exact
arxiv_id, observed 2026-06-27T17:01:08.039024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:52:02.948457Z digest=sha256:6ef6edac1549c38969a6f6995e80af179535e6fe418a58c4c5ad32202c960769

Observation 2542a94c-16e9-45d1-bde9-90d471199d77 · inbound

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process cites this paper.

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-07-04T06:19:38.850491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:32:19.031688Z digest=sha256:d2edcaa595c55057bf3076bee03017cdac1f460f21ddd0892523f49974db8fbb

Observation aedc777b-5ed3-473c-88da-58c1b8ccaff1 · inbound

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models cites this paper.

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 2

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arxiv_id, observed 2026-07-04T10:39:45.232160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T08:39:16.303810Z digest=sha256:44e234614a9ce6e60c231498c161592d17b9afca49d49870129e403c55c155b4

Observation 227d34e5-2fc8-472a-966c-c9f0fde8584e · inbound

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology cites this paper.

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 7

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verified exact
arxiv_id, observed 2026-07-02T16:07:08.130764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T15:57:48.589980Z digest=sha256:1a477d8dfef595a5944a69d94c7246dbf06c560a9923b0d1b317f63a1a180bd0

Observation 00a86bec-48b2-4ead-b0ef-9e02620a6f05 · inbound

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness cites this paper.

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.166951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-03T17:36:09.322804Z digest=sha256:6ef938eb750b38e8224d721e6cd82220bf65cf8e8b83f69d24873a30a5d35964

Observation 80976a5c-4b11-4d0c-877f-26fdb3a9b591 · inbound

Unsupervised Features Mining via Activation Geometry cites this paper.

Unsupervised Features Mining via Activation Geometry Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 21

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no resolver link, observed 2026-07-11T20:51:42.052454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T20:51:42.052454Z digest=sha256:6c45b884569666b9c228c7bde373475cf8aaa9776c8035f5fa212c82ee0c863c

Observation eccf99f9-371e-4eb3-8863-cc6e29812ee7 · inbound

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models cites this paper.

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 5

Resolution
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no resolver link, observed 2026-07-14T12:50:33.254161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:50:33.254161Z digest=sha256:7828b0074f71ed891ba584bc1c45c58a00063bf1cfb1a749dcac683bdf0e16fc

Observation cd060afd-64f6-4caf-ab63-9572dde5ef20 · inbound

Laguerre Geometry for Interpreting Large Language Models cites this paper.

Laguerre Geometry for Interpreting Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 15

Resolution
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no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:42:30.055074Z digest=sha256:5f9150b084d93dbed08a95f704e4c13f9c7e1043b7160f2115cf7ea619314778

Observation 3e10fd95-add3-48e1-81c3-3a833a5a45e2 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 53

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no resolver link, observed 2026-08-01T23:15:22.360923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:22.360923Z digest=sha256:0a7dd02cba45d6bd3bc85b91c65019ea442c8230e1b98cab6e34b08007dd4505

Observation 040dc338-e7f4-40cf-a6d5-09e949d9ebf7 · inbound

Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures cites this paper.

Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 2025

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no resolver link, observed 2026-08-01T04:38:47.440173Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:38:47.440173Z digest=sha256:78dda47eb82cb655e9d01bb3ed9c4b313b49850674684933ffc1d81247411bd0