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Paper Citation Record · LEDGER

How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.16810.

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

pith.paper-citation-record.v1
2406.16810 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:59.614590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:37:14.200965Z

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 b1bf16a8-1440-4d61-bc71-f1d8e55b83de · inbound

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? cites this paper.

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:10:59.614590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:10:59.614590Z digest=sha256:4d8a073f2715cbcd7a78df348811400f265d02a81accca091873910d255299cd

Observation 64c8302c-e02c-4e6a-a036-87bfa10f9b4a · inbound

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models cites this paper.

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:59.111934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:59.111934Z digest=sha256:1f50234efda11cbcdef29829845315d792b58088400eda0cd197a8c1cb222f73

Observation c957db99-1676-41eb-b9c5-8762d58e6b9c · inbound

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention cites this paper.

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:14.202378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:34:24.194855Z digest=sha256:5c80d0589821fe8bdf25922cffd47823e991638c368679965fc8cf8cb203fbe9

Observation e937ff93-e59a-4a71-b275-58c33db4731d · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-06T13:54:40.170302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:40.170302Z digest=sha256:43ca7bdde2fc6f8809a3ac0e529904962c1792766b93fd4ba7c1f4d92e0b0e7d

Observation 627142d9-09d7-4f34-a78b-efc15e335f0b · inbound

Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning cites this paper.

Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:01.349922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:01.349922Z digest=sha256:ed187c4a9a007c4448c10b8c65c9036cabdc83bd26f103eddfb63e4a3729dfd7