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Paper Citation Record · LEDGER

LLM Unlearning via Loss Adjustment with Only Forget Data

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.11143.

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

pith.paper-citation-record.v1
2410.11143 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:50.572931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:07:21.184126Z

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 120a6ed5-84c5-4524-81ca-967f947bd1a3 · inbound

A mean teacher algorithm for unlearning of language models cites this paper.

A mean teacher algorithm for unlearning of language models LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T12:16:50.572931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:16:50.572931Z digest=sha256:ccf66342c476c78d68d8f7f4c0346e91ecb66e51cf1489ab694f39ed91a399f5

Observation 2beb9b70-7e4c-4801-90ba-adcf1702c692 · inbound

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning cites this paper.

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:48:52.305218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:48:52.305218Z digest=sha256:833b09f529fc7d35832cd36819c13b395d658822510a893b7f5d5ea024d778db

Observation ec87b60b-66dd-4b03-bec4-fade92c7afa3 · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.910131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.910131Z digest=sha256:ce152aae5baefe44650a461763f685c54cb12d9b841739637edf6b0392e87331

Observation 65a2da85-76c4-421c-b59a-7a4f26e1c7b2 · inbound

Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System cites this paper.

Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T19:30:25.130469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:30:25.130469Z digest=sha256:35f23b9e990376db4572fdd201359d49415cecad69dd1e2fe346e6287c23c2bc

Observation 5038c542-b081-46ed-b972-ffe7f1c61cf4 · inbound

BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning cites this paper.

BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T10:45:44.600845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:44.600845Z digest=sha256:23381c7658278ba8e61049660116f0690eae11c50a3def044041d416f0189b06

Observation c6c548ee-2347-46f2-8342-9d58a6b51f82 · inbound

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models cites this paper.

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:16.857887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T18:47:30.221093Z digest=sha256:953d4ba3ef868ace184ff3bc660c05da0739e044979d39dc1dc1ed6836da06c0

Observation 3a440f8e-6dcc-4b3a-8b66-a67c97822d2e · inbound

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning cites this paper.

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:11:02.697359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:08:16.768725Z digest=sha256:b7db3e95ef32ab8f7217716d04390b06ff65082a5bd3a46a756726b061471d19

Observation bb994706-57f0-4f9d-830d-780bb9006304 · inbound

Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure cites this paper.

Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:26:02.780227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T16:00:56.896665Z digest=sha256:876798e7473110ac01b9e4297e339f8e1540641976ec3c1b144552a60d770d9f

Observation 4fbeb827-262f-470a-90d3-8b207eb34a99 · inbound

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation cites this paper.

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation LLM Unlearning via Loss Adjustment with Only Forget Data

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:07:21.186072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T21:04:06.408281Z digest=sha256:0df70b2bbd0212fc3fe50ff1bd80b3753a295b060c055f72dceca9ff9de7f96d