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Paper Citation Record · LEDGER

SoK: Memorization in General-Purpose Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.18362.

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

pith.paper-citation-record.v1
2310.18362 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:09:50.694182Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 456f9785-a1c2-4e51-8637-679c58bb63e2 · inbound

Sequence-Level Leakage Risk of Training Data in Large Language Models cites this paper.

Sequence-Level Leakage Risk of Training Data in Large Language Models SoK: Memorization in General-Purpose Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:09:50.694182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:09:50.694182Z digest=sha256:22d9931d37aa37e69dc85da18dd2cd0e0bde3f5725b48432b09a93fb74a821dd

Observation fd14ffa6-d214-404d-a5f2-907afeaeb3d8 · inbound

A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection cites this paper.

A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection SoK: Memorization in General-Purpose Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T14:35:37.499085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:35:37.499085Z digest=sha256:1719f62aed19ca605c7cc4c186f9f53e92bc4b87982d9a946b56e1d36b59bd5b

Observation 3497f1e6-73e0-4316-ad76-0695039078f2 · inbound

Membership Inference Attacks Against Vision-Language Models cites this paper.

Membership Inference Attacks Against Vision-Language Models SoK: Memorization in General-Purpose Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:10.855939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.855939Z digest=sha256:a71fdd7b7c257646c9f7f326429a21ad50d6e6d4dada0c0afbc317341e468ced

Observation 0b5f86ce-1c4d-4fd1-aef5-8d253e9d7ad4 · inbound

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

A Lightweight Method to Disrupt Memorized Sequences in LLM SoK: Memorization in General-Purpose Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T20:08:57.369870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:08:57.369870Z digest=sha256:314e3608c0074c973908a17a68dd5ac0ed49a630e668784522de6c9579803f16

Observation e2e60055-69b5-49b5-91f2-8f32525c57dd · inbound

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning cites this paper.

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning SoK: Memorization in General-Purpose Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:40.334702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:41:40.334702Z digest=sha256:7aec00603699248b657f8560ff69dafbff2e19ade13f7de7a9cff22e9549f38a

Observation 2eff85a8-1aa0-4996-8708-19237e3aeab7 · inbound

On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator? cites this paper.

On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator? SoK: Memorization in General-Purpose Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:44:55.805747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:44:55.805747Z digest=sha256:ebaba7f6a862ca97017457290f8773b5fab1536facfd9b00aa53e6afe4a99175

Observation b8ba0765-3593-4dd7-83e0-63b5f11a000f · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems SoK: Memorization in General-Purpose Large Language Models

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.280598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.280598Z digest=sha256:b8aa01557ee6f3228ab288bde42e209f0dca6534337426815de1b56f606a0e9c

Observation c6f5e668-4c45-4d90-861b-4016884b25dd · inbound

Output Vector Editing for Memorization Mitigation in Large Language Models cites this paper.

Output Vector Editing for Memorization Mitigation in Large Language Models SoK: Memorization in General-Purpose Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-26T21:30:02.925245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T21:23:26.901877Z digest=sha256:59065c77abab11f979bbc8602bffebab9aa86c371790704c66c1fef2c704f072

Observation 69834fa3-7d04-4ffe-b282-6e938e7b1224 · inbound

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search cites this paper.

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search SoK: Memorization in General-Purpose Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:39:59.940159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T23:35:16.029635Z digest=sha256:d471bed2986416d805f98d3a46514fcd1c7376ddb1f8fce4bf9eb0000e38228c

Observation 0b42cc23-501a-4c7a-a4a8-2627bae30ee2 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning SoK: Memorization in General-Purpose Large Language Models

Reference 190

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.743102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:5b4024cb18775832657d57af45ef813a1b183840af53c947b5385349c6d20f73