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Paper Citation Record · LEDGER

Demystifying Verbatim Memorization in Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.17817.

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

pith.paper-citation-record.v1
2407.17817 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:50:15.650957Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:40:37.720472Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4be4f5e8-5a8d-4a90-aca2-5baad141b28f · inbound

Detecting Memorization in Large Language Models cites this paper.

Detecting Memorization in Large Language Models Demystifying Verbatim Memorization in Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T04:50:15.650957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:50:15.650957Z digest=sha256:24e91f30175c26af3f83e7fb025ec6561493ebddce89a42b3f1c015493dda1ff

Observation 850f4898-765c-478d-85de-88f216f08de2 · inbound

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models cites this paper.

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models Demystifying Verbatim Memorization in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T04:46:40.195946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:46:40.195946Z digest=sha256:711097f32857c3fee4624a28d016baa0161899bf4547bc765849e6585a22c1e3

Observation 9e0cf41b-ab9b-4c35-be43-a92cc11d20e4 · inbound

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning cites this paper.

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning Demystifying Verbatim Memorization in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:16:49.603887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:16:49.603887Z digest=sha256:4c9386e2d52bc1508635464fe652560fc2e739d453c5b2a1935ac2d12667267b

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

Analyzing Memorization in Large Language Models through the Lens of Model Attribution cites this paper.

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.

source=arxiv_source observed=2026-08-10T21:23:47.868216Z digest=sha256:d8772b960ac35f4d45b28ed2634f46fafde288fa564b01df1b694b2060abdaf6

Observation 84ff37c5-46d0-4732-a194-298cbc6d3c49 · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM Demystifying Verbatim Memorization in Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T20:08:57.377140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:08:57.377140Z digest=sha256:7efb35afc57210913d6e4185b7e2bd615bd7da6a2cc60b865409714d24da82f5

Observation 4d514ff9-0f8f-4d37-909c-3756780d7cc0 · inbound

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models cites this paper.

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models Demystifying Verbatim Memorization in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:48.631328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:48.631328Z digest=sha256:be3073781c0a378c38e2383f3c784f2269c555088dc0d221f6811b20ac567df0

Observation 9242110b-a14b-461d-b47f-30e556f7696c · inbound

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective cites this paper.

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective Demystifying Verbatim Memorization in Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:30.342248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:30.342248Z digest=sha256:245e572f3298832b55a351fa42234224a78e5547978cc0c6fea8ac82281dc8c8

Observation 028f05d3-61c7-4afc-8743-fedb61c13de5 · inbound

SoK: Semantic Privacy in Large Language Models cites this paper.

SoK: Semantic Privacy in Large Language Models Demystifying Verbatim Memorization in Large Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:40:37.813716Z

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.

source=pdf_text observed=2026-08-06T21:40:31.883738Z digest=sha256:1b0baf22b44fd67b974cd4fc04ab8d790200075b28b4c1ba210759edcc6a7822