Paper Citation Record · LEDGER

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

As of 13 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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

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

verified exact1
verified fuzzy2
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.809689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.813613Z

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Unavailable: canonical work link unavailable.

Observation d7f3c975-fb1f-4148-b34c-85fb59595fc3 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.817941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac73b93-10df-4ff1-bc06-8d4dd69b700d · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.821316Z

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Observation d113d072-502a-4aae-a1fa-98f183c8f093 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:48.346622Z

Source-reported events for the cited work

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Observation ea5c3d6f-b516-4ef2-90c5-207476c68d10 · outbound

This paper cites an unresolved cited work.

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

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:23:48.337290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b134f42f-5287-4904-bcf0-fb7dfd4a997d · outbound

This paper cites an unresolved cited work.

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

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:23:48.328011Z

Source-reported events for the cited work

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Observation b409ff6b-b042-4720-8797-0151dd0c85d2 · outbound

This paper cites an unresolved cited work.

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

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.835868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb87d5f-df08-4fb1-8390-3c058033a0b1 · outbound

This paper cites an unresolved cited work.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.838820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fc0960-9ba8-4f30-b913-6bdb90fa6f23 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.842479Z

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Unavailable: canonical work link unavailable.

Observation 767bda36-f50b-4028-9e42-18c8b1e38975 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:48.313198Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.851524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4690162-f57a-4d66-a6f9-8788a2a064af · outbound

This paper cites an unresolved cited work.

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

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.855091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8798f8a7-4571-4432-809a-959455495ced · outbound

This paper cites an unresolved cited work.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.858423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233ecb14-e98c-44de-8f09-ccc06959d02c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.861325Z

Source-reported events for the cited work

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Observation a8b5f834-31d0-45c4-a313-b1bc3f00b7a8 · outbound

This paper cites an unresolved cited work.

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

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.865207Z

Source-reported events for the cited work

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Observation 64e8a839-b418-4bc3-a146-f81cc3a737bd · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.868216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49cf3a7d-da10-47b0-b8e8-65f7d780c6aa · outbound

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:23:48.206158Z

Source-reported events for the cited work

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Observation f55d0bb9-a330-4ee7-a0ab-e4dc2076d2c3 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.873794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198f49a2-63c1-4406-970d-3905b0404531 · outbound

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

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:23:48.294442Z

Source-reported events for the cited work

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Observation 08ad6845-7475-4420-90f3-ba4f3aa143fd · outbound

This paper cites an unresolved cited work.

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

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.879794Z

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Observation f8ae71b3-69ab-4e58-b4df-05afb4a29343 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

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

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.882697Z

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Unavailable: canonical work link unavailable.

Observation e4765666-2c03-4bb2-bd54-fb11f8bfa186 · outbound

This paper cites an unresolved cited work.

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

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.886542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf1ba3d-f622-4945-abf4-e6c952530c85 · outbound

This paper cites an unresolved cited work.

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

Reference 25

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Source-reported events for the cited work

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Observation 1dd3eab1-82c3-4b15-8815-2287a221db99 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

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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Observation dfb4e5ef-fde6-482d-a61e-788f824069b3 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

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

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.896034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc00dd2-0981-4eb4-b3a7-11b7925d269c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.899405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f59000f-e836-485a-a2e7-2001fd3715f3 · outbound

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

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39962bab-abea-48d7-8033-b08e717fe7c9 · outbound

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.905733Z

Source-reported events for the cited work

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Observation a4de1594-95e9-4b34-9b17-274ada5220c7 · outbound

This paper cites Localizing Paragraph Memorization in Language Models.

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

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.909033Z

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Unavailable: canonical work link unavailable.

Observation 89820573-fa91-42d2-9e6d-d2cd5e62cd61 · outbound

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.911964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114629ba-d46c-4ce0-9193-1d4a63fb2b4d · outbound

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.915270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534fe77e-c35e-4a67-bdaa-8e1bbc65518d · outbound

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

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:23:48.270371Z

Source-reported events for the cited work

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Observation a2c85cfe-be2c-4116-945c-73035ccb1d11 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

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

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.921756Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.