Paper Citation Record · LEDGER

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2411.08745.

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

pith.paper-citation-record.v1
2411.08745 v4

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:29:17.161324Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:48:09.519547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:48:13.263301Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f274894-38fc-46c5-bd94-6b84b32af132 · outbound

This paper cites online" 'onlinestring :=.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers online" 'onlinestring :=

Reference 1

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Observation 1528abff-1f88-43b2-abe1-1df493add53a · outbound

This paper cites write newline.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers write newline

Reference 2

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Observation 096b59bb-8c68-4574-aa45-fd9d7f63ec7c · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 3

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Observation 9e143d08-eee1-4a30-ae59-847d66654d11 · outbound

This paper cites Aya 23: Open Weight Releases to Further Multilingual Progress.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Aya 23: Open Weight Releases to Further Multilingual Progress

Reference 4

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Observation c04d130c-f253-4649-9684-58a9b403ed0b · outbound

This paper cites Qwen Technical Report.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Qwen Technical Report

Reference 5

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 6

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Observation 0d3b644c-772e-4483-be71-f65d615a31ef · outbound

This paper cites One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models

Reference 7

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Observation 976f3c69-9f3b-4bc0-8446-706713e09208 · outbound

This paper cites SelfIE: Self-Interpretation of Large Language Model Embeddings.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers SelfIE: Self-Interpretation of Large Language Model Embeddings

Reference 8

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Observation e2a026fc-1770-4500-8a56-ab0091606cee · outbound

This paper cites an unresolved cited work.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 9

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Observation d1887500-9d19-492c-9c11-bf1966b22472 · outbound

This paper cites Zero-shot cross-lingual transfer in instruction tuning of large language models.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Zero-shot cross-lingual transfer in instruction tuning of large language models

Reference 10

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Observation b5262f87-f15a-4d36-9916-c70c88bad62a · outbound

This paper cites What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties

Reference 11

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Observation cc8e8ed4-7624-4380-90d0-80a5963536b5 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unsupervised Cross-lingual Representation Learning at Scale

Reference 12

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 13

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Observation b67494f5-e062-4815-86b6-4ddc26fa48e2 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers The Llama 3 Herd of Models

Reference 15

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Observation 5d78b88e-a629-4b19-affc-ad9c8d34693f · outbound

This paper cites NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 16

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 17

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Observation 9acc1445-2cd0-4047-9f4a-2d6c04bfc610 · outbound

This paper cites Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 18

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Observation 6923915f-a992-4675-9fb3-c9a9cc6b50d7 · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Mistral 7B

Reference 19

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Observation a9fc4b30-04b2-4085-9193-6378f20f8b78 · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 20

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Observation 8a6d1d1a-aaab-4737-9f83-cf1f3894c547 · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

Reference 21

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Observation 6fa3ee6e-e11d-4038-9d75-5f091ee2a964 · outbound

This paper cites On the Language Neutrality of Pre-trained Multilingual Representations.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers On the Language Neutrality of Pre-trained Multilingual Representations

Reference 22

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Whose Opinions Do Language Models Reflect?

Reference 27

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers How multilingual is Multilingual BERT?

Reference 28

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 30

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Multilingual Instruction Tuning With Just a Pinch of Multilinguality

Reference 32

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Language Models are Multilingual Chain-of-Thought Reasoners

Reference 33

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 34

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models

Reference 35

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Observation 66c4bfd7-0757-47a1-87a2-2812b678bcef · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 36

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Gemma 2: Improving Open Language Models at a Practical Size

Reference 37

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Function Vectors in Large Language Models

Reference 38

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Look Before You Leap: A Universal Emergent Decomposition of Retrieval Tasks in Language Models

Reference 40

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Reference 42

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Emerging Cross-lingual Structure in Pretrained Language Models

Reference 43

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Observation e909ceb4-a2a9-4454-9b05-0fe862d6bf3a · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities

Reference 44

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Observation 8dc1e85c-caa5-4ddf-97cc-41d1a84d793b · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Unresolved cited work

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Observation c077bdc2-d2d1-4bca-8d6d-6f351615a816 · outbound

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Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T21:29:17.161324Z

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Pith citing papers

Observation b1a71b94-180c-4912-9ae1-3e45665a914a · inbound

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations cites this paper.

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers

Reference 2024

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