Paper Citation Record · LEDGER

Skewed Memorization in Large Language Models: Quantification and Decomposition

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2502.01187.

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

pith.paper-citation-record.v1
2502.01187 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:24:37.557027Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T02:30:18.012759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:38:49.922895Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy5
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f269e1f1-56cc-4299-9b41-c18dcf04c573 · outbound

This paper cites write newline.

Skewed Memorization in Large Language Models: Quantification and Decomposition write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.460608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e8512e-0082-4206-b8ca-72656cbe3df6 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Skewed Memorization in Large Language Models: Quantification and Decomposition D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.466857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1503373-1d4b-43ec-b338-ff672c30530d · outbound

This paper cites Extracting training data from large language models.

Skewed Memorization in Large Language Models: Quantification and Decomposition Extracting training data from large language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.471970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f5b647-0d9a-4c81-8081-01c477c43b97 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

Skewed Memorization in Large Language Models: Quantification and Decomposition Quantifying Memorization Across Neural Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.476929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf266f35-aca8-4b6c-8adc-9bcf00e054ff · outbound

This paper cites The Llama 3 Herd of Models.

Skewed Memorization in Large Language Models: Quantification and Decomposition The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.481693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a709fc98-b6dd-4337-9744-2bfd189ff63f · outbound

This paper cites and Tibshirani, R.

Skewed Memorization in Large Language Models: Quantification and Decomposition and Tibshirani, R

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:24:37.825827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 936d14a4-d2c1-466e-a4d4-c9924953a24e · outbound

This paper cites Does learning require memorization? a short tale about a long tail.

Skewed Memorization in Large Language Models: Quantification and Decomposition Does learning require memorization? a short tale about a long tail

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.491251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713742c4-7667-4a75-bb99-3a52388ce047 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Skewed Memorization in Large Language Models: Quantification and Decomposition Training Compute-Optimal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.496203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b91824f-952f-4ee1-a652-d78207fcb38f · outbound

This paper cites Measuring Forgetting of Memorized Training Examples.

Skewed Memorization in Large Language Models: Quantification and Decomposition Measuring Forgetting of Memorized Training Examples

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.500912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e6ec69-bb51-44df-aaed-50c338e32928 · outbound

This paper cites Scaling Laws for Neural Language Models.

Skewed Memorization in Large Language Models: Quantification and Decomposition Scaling Laws for Neural Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.505450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ebe592-0ed5-4862-95f2-84da3f48dabf · outbound

This paper cites H., Gonzalez, J.

Skewed Memorization in Large Language Models: Quantification and Decomposition H., Gonzalez, J

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.509641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b33b92-27c0-4b74-9e8b-6d0962517806 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Skewed Memorization in Large Language Models: Quantification and Decomposition Rouge: A package for automatic evaluation of summaries

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.514190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48407e87-cff1-4131-9cd8-a329e4699794 · outbound

This paper cites Rethinking LLM Memorization through the Lens of Adversarial Compression.

Skewed Memorization in Large Language Models: Quantification and Decomposition Rethinking LLM Memorization through the Lens of Adversarial Compression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.518396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b85f0af-5688-4299-92d5-a24cfb8b3943 · outbound

This paper cites M., ZHAO, Y., Dubey, K.

Skewed Memorization in Large Language Models: Quantification and Decomposition M., ZHAO, Y., Dubey, K

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:24:37.784466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 970de6bd-b524-438b-9e33-5e88a6ad0db5 · outbound

This paper cites and Ben-David, S.

Skewed Memorization in Large Language Models: Quantification and Decomposition and Ben-David, S

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.527304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9531748-cd3e-420a-8912-35bb94a182ca · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.

Skewed Memorization in Large Language Models: Quantification and Decomposition Memorization without overfitting: Analyzing the training dynamics of large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:24:37.759928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58a23835-3eca-451f-aec9-89e7d2d6d8d1 · outbound

This paper cites HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations.

Skewed Memorization in Large Language Models: Quantification and Decomposition HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.535601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042a42bd-9a30-4b46-9e8a-0afdedc4ccdb · outbound

This paper cites On Memorization of Large Language Models in Logical Reasoning.

Skewed Memorization in Large Language Models: Quantification and Decomposition On Memorization of Large Language Models in Logical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.539995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a278aa18-792c-474b-aafc-25731a9794dd · outbound

This paper cites and Bo, L.

Skewed Memorization in Large Language Models: Quantification and Decomposition and Bo, L

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:24:37.745670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdc32296-2702-4766-8804-ca361ce6b8b7 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Skewed Memorization in Large Language Models: Quantification and Decomposition Understanding deep learning (still) requires rethinking generalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.548682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16e0855-d67b-47ae-bd90-255457070e6a · outbound

This paper cites Towards a pretrained model for restless bandits via multi-arm generalization.

Skewed Memorization in Large Language Models: Quantification and Decomposition Towards a pretrained model for restless bandits via multi-arm generalization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:24:37.722252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bab55824-57df-4bdf-8601-4153515f2a11 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Skewed Memorization in Large Language Models: Quantification and Decomposition LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T16:24:37.557027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ad6b20e9-cc74-4e67-b2df-f1811d466901 · inbound

On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies cites this paper.

On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies Skewed Memorization in Large Language Models: Quantification and Decomposition

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:38:49.924396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.