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Paper Citation Record · LEDGER

Analyzing Memorization in Large Language Models through the Lens of Model Attribution

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.05078.

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

pith.paper-citation-record.v1
2501.05078 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:47.921756Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 37d11e99-298e-44e9-a65e-49c9d074e881 · outbound

This paper cites online" 'onlinestring :=.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution online" 'onlinestring :=

Reference 1

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Observation cc6b680c-bb04-4390-bbd4-d0d2991e8fe6 · outbound

This paper cites write newline.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution write newline

Reference 2

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Observation a76ed3cf-ce19-4d94-8779-135c3c69965d · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 3

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This paper cites Physics of Language Models: Part 3.2, Knowledge Manipulation.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Physics of Language Models: Part 3.2, Knowledge Manipulation

Reference 4

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This paper cites Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws

Reference 5

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This paper cites Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien

Reference 6

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 7

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 8

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 9

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 10

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This paper cites Quantifying Memorization Across Neural Language Models.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Quantifying Memorization Across Neural Language Models

Reference 11

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This paper cites Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel

Reference 12

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Observation 61c576d2-c316-4770-83a8-1172e96ebc97 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 14

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 15

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This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 16

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 17

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This paper cites Demystifying Verbatim Memorization in Large Language Models.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Demystifying Verbatim Memorization in Large Language Models

Reference 18

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This paper cites Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper

Reference 19

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This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 20

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 21

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 22

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Deduplicating Training Data Makes Language Models Better

Reference 23

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 24

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 25

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Scalable Extraction of Training Data from (Production) Language Models

Reference 26

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 27

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This paper cites Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

Reference 28

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution A deeper look at depth pruning of LLMs

Reference 30

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Localizing Paragraph Memorization in Language Models

Reference 31

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution A Simple and Effective Pruning Approach for Large Language Models

Reference 32

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 33

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution Unresolved cited work

Reference 34

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Analyzing Memorization in Large Language Models through the Lens of Model Attribution HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 35

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Pith citing papers

No inbound Pith citation observations are available.