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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2411.17401.

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

pith.paper-citation-record.v1
2411.17401 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:13:12.778506Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:29:17.019011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:55:24.807512Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5519ace-6d74-4c01-9810-2b184a7c3b6c · outbound

This paper cites What is a knowledge representa- tion?.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models What is a knowledge representa- tion?

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.499066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b96997db-b044-4f30-80d1-89e1f5bd02f3 · outbound

This paper cites Some expert systems need common sense,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Some expert systems need common sense,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.483121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1431084b-4d9c-4f6a-bbbc-56ce89c24f3a · outbound

This paper cites How knowledge works,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models How knowledge works,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.466442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 322668a2-ec9a-40fd-beeb-05ef6035e804 · outbound

This paper cites The life cycle of knowledge in big language models: A survey,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models The life cycle of knowledge in big language models: A survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.448668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.571396Z digest=sha256:bab983b5e2b7b98e743ea513daf0f10c70fc7a41ebf80a8f58f8d6576aa42f2a

Observation 1d8c714a-b2a1-49a3-9531-bd5adef2761b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.577206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.577206Z digest=sha256:cbfec5911e541e330ac6d0c922a483d1d239fc20295601e92902b80dadddbc8f

Observation 0ea90cad-c3ae-4cc1-83a9-3873db45e014 · outbound

This paper cites GPT-4 Technical Report.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models GPT-4 Technical Report

Reference 6

Resolution
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no resolver link, observed 2026-08-12T12:13:12.582998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.582998Z digest=sha256:a8013fdac357cfef542d41a450af5deb5d817004cbd5fc74f87b247bfb5be790

Observation 39c5db17-3eba-4574-9cc3-a3dd24cad1de · outbound

This paper cites Language models as knowledge bases?.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Language models as knowledge bases?

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.432408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.589392Z digest=sha256:1ab21d493413df2c5411eca61c2f83f997eacbd7cfea6932efc1ebf335c58ca0

Observation d6da92c0-2413-4f56-be49-33d4e8ef0423 · outbound

This paper cites How multilingual is multilingual bert?.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models How multilingual is multilingual bert?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.414692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.594625Z digest=sha256:743f3d73e4fad0d3e61ec3733402f0882707731afba2662fd87be3c6fb71f12b

Observation 391ec41f-0f88-454b-84e8-959085221a38 · outbound

This paper cites mGPT: Few-Shot Learners Go Multilingual.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models mGPT: Few-Shot Learners Go Multilingual

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.599962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.599962Z digest=sha256:8885e210675e15efd82b27675b4f211c05411c812153248b844d9340a9069459

Observation 86e11670-a18f-4844-a619-0d0c90a9192b · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.605666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.605666Z digest=sha256:48056d9a61080788c793e19097ff3cc57ac2676e19c22747c2d3872d86e798ed

Observation bca979da-e51f-435d-bf06-f6634d3f202c · outbound

This paper cites Measuring and improving consistency in pretrained language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Measuring and improving consistency in pretrained language models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.398455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.612037Z digest=sha256:78200e9db548ef2c9d0f5e80f148c009377cede4bd7730bc2d823a5a4c62deb2

Observation ede40dbf-a3cd-4b00-bf9b-23eb9db1ba24 · outbound

This paper cites KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 12

Resolution
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no resolver link, observed 2026-08-12T12:13:12.617411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 611305ed-6a48-4e53-87b4-49758eb0e9a4 · outbound

This paper cites Knowledge neurons in pretrained transformers,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Knowledge neurons in pretrained transformers,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.382268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a782b8cb-0247-4d99-8e47-1230b2db2f1c · outbound

This paper cites Locating and editing factual associations in gpt,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Locating and editing factual associations in gpt,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.628041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.628041Z digest=sha256:552e57b8962fe30ffb51532d1d05cc94b209fc98cd2dd3e2f2e333c1ae751bcc

Observation 477522d6-a810-4adc-8cf1-022155968ed6 · outbound

This paper cites Journey to the center of the knowledge neurons: Discoveries of language-independent knowledge neurons and degenerate knowledge neurons,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Journey to the center of the knowledge neurons: Discoveries of language-independent knowledge neurons and degenerate knowledge neurons,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.355098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ad1238fe-f28a-4e56-8b1f-343299374a48 · outbound

This paper cites PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Reference 16

Resolution
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no resolver link, observed 2026-08-12T12:13:12.637804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ee2f4b9-8e5b-4017-aebf-13f1b24aa926 · outbound

This paper cites Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 17

Resolution
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no resolver link, observed 2026-08-12T12:13:12.643135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69a4e47a-63ba-4aa5-8893-b32fbe3bae22 · outbound

This paper cites Test-time augmentation for factual probing,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Test-time augmentation for factual probing,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.338444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ae390e34-34ad-43e4-8238-599b1d72e27b · outbound

This paper cites Readprompt: A readable prompting method for reliable knowledge probing,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Readprompt: A readable prompting method for reliable knowledge probing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.319842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.653085Z digest=sha256:4debe8445d5eb00e0487454f4c6d31ba8c8312308552d7d4c818c12efa74f94d

Observation f95f625a-06d5-4951-9ae1-68e274e64741 · outbound

This paper cites X- factr: Multilingual factual knowledge retrieval from pretrained language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models X- factr: Multilingual factual knowledge retrieval from pretrained language models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.303915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c58711b6-4331-4ea9-851c-6c4811bc981f · outbound

This paper cites Multilingual lama: Investigating knowledge in multilingual pretrained language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Multilingual lama: Investigating knowledge in multilingual pretrained language models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.287471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f76a18b4-34b4-4992-b981-932ea3c0b701 · outbound

This paper cites T-rex: A large scale alignment of natural language with 14 knowledge base triples,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models T-rex: A large scale alignment of natural language with 14 knowledge base triples,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.271294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation efb7eb46-3d50-4490-915a-e4688c6bc940 · outbound

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

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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no resolver link, observed 2026-08-12T12:13:12.673448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6303d57f-101e-44b8-8989-4e09ef7b4714 · outbound

This paper cites Zhujiu- knowledge: A fairer platform for evaluating multiple knowledge types in large language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Zhujiu- knowledge: A fairer platform for evaluating multiple knowledge types in large language models,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.254249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4134e039-da4c-42b3-abc6-d2db7519049f · outbound

This paper cites Gpt understands, too,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Gpt understands, too,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.682969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.682969Z digest=sha256:272f34ff1be5d44f9a0bbfded4e27c03c9e414cfd1720ff34d490fb415e981c6

Observation 8f2039b0-1647-4c93-88b8-5f4f2f721792 · outbound

This paper cites Factual probing is [mask]: Learning vs. learning to recall,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Factual probing is [mask]: Learning vs. learning to recall,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.227294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.687447Z digest=sha256:cbde8a23f21e879850ad2b8b67f1898a0fda2a05770eda0b0abe455f70fb7e41

Observation 106cb56c-a485-4de5-b5cb-a8829961a0a9 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Prefix-tuning: Optimizing continuous prompts for generation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.210196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c94d01d0-b1e1-4bb1-b799-2f988b13f83a · outbound

This paper cites Prompt waywardness: The curious case of discretized interpretation of continuous prompts,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Prompt waywardness: The curious case of discretized interpretation of continuous prompts,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.191593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.697097Z digest=sha256:ddc6eb18fc909439c9690ca01f481f8fddf949d1c50b816de4ea5e7f815d5d1c

Observation db6103a5-264e-41a9-b8c5-8cd7436c0712 · outbound

This paper cites Knowledge Mechanisms in Large Language Models: A Survey and Perspective.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T12:13:12.702247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:13:12.702247Z digest=sha256:1f52e9a7aff08e77f52dea6f92c2a228ba50d5801764fe31c4dddca971357ec1

Observation a3d6a2a7-fd70-4f94-990b-454cfb111de1 · outbound

This paper cites Transformer feed-forward layers are key-value memories,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Transformer feed-forward layers are key-value memories,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.175079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.707391Z digest=sha256:0e4ed677ef4cd0ca3d61788fd9073f79d2bd2d8822d02980d6cc40dd493cd52f

Observation e3986e0a-8a55-4080-9619-ff81f469cdfa · outbound

This paper cites Mass-editing memory in a transformer,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Mass-editing memory in a transformer,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.157708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.712042Z digest=sha256:494c202f88969ae523314916d9dfe9157a2cbb9a24b785f36f1b4b96843f3022

Observation 9e10746c-cfe2-44f0-860a-e038e58d7bea · outbound

This paper cites Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:13:12.859080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.716850Z digest=sha256:3f1bf4f6d17c70f79ca9f93a79b1fd276b94893cdfd86a0c679f8b40adc51e30

Observation b6d0dd6b-048e-4ada-b8a1-d507888c0248 · outbound

This paper cites Measures of degeneracy and redundancy in biological networks,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Measures of degeneracy and redundancy in biological networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:13:13.141000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:13:12.722086Z digest=sha256:7874be14c4d6017b975fc1dc3e32cede2cbeba64ce686d37e828721d3efff736

Observation 67aed878-3b16-46db-bc44-87f366f337a6 · outbound

This paper cites Degeneracy: Demystifying and destigmatizing a core concept in systems biology,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Degeneracy: Demystifying and destigmatizing a core concept in systems biology,

Reference 34

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Observation dc1e08c5-3570-40fc-9a2d-7a732de40c15 · outbound

This paper cites Dissecting recall of factual associations in auto-regressive language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Dissecting recall of factual associations in auto-regressive language models,

Reference 35

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Observation 4dd89397-452b-4780-a208-a7ac880ced31 · outbound

This paper cites Knowledge Localization: Mission Not Accomplished? Enter Query Localization!.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Knowledge Localization: Mission Not Accomplished? Enter Query Localization!

Reference 36

Resolution
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This paper cites How to explain individual classification decisions,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models How to explain individual classification decisions,

Reference 37

Resolution
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Observation 1c8eb7c2-64bf-40c4-acf3-b55409d77259 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 38

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Unavailable: canonical work link unavailable.

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Observation e89253f7-1c6c-4c4a-9ff9-723e9efc27ab · outbound

This paper cites Axiomatic attribution for deep networks,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Axiomatic attribution for deep networks,

Reference 39

Resolution
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Observation 6d943b6b-77c2-4787-91ce-f9e8ac29d95c · outbound

This paper cites Discretized integrated gradients for explaining language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Discretized integrated gradients for explaining language models,

Reference 40

Resolution
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Observation 04fa5d18-99e7-436c-b9d5-d7dfe14bd67d · outbound

This paper cites Sequential integrated gradients: a simple but effective method for explaining language models,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Sequential integrated gradients: a simple but effective method for explaining language models,

Reference 41

Resolution
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Observation 91b4e2b7-7afc-486c-bf90-159f4b594d62 · outbound

This paper cites The effective coalitions of shapley value for integrated gradients,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models The effective coalitions of shapley value for integrated gradients,

Reference 42

Resolution
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Observation 7e19cddb-b7bb-44b7-bb43-1a77eeef8b81 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date,.

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models Introducing meta llama 3: The most capable openly available llm to date,

Reference 43

Resolution
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Pith citing papers

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

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers cites this paper.

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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Unavailable: canonical work link unavailable.

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Observation 9e54bf69-e0cc-484b-902d-954d08aa5e7b · inbound

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought cites this paper.

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models

Reference 1

Resolution
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