Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 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 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:53.836079Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: metadata mismatch; 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: metadata mismatch; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.