Paper Citation Record · LEDGER

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2508.15449.

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

pith.paper-citation-record.v1
2508.15449 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:56:10.390683Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:25:19.760634Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy23
unresolved24
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8d0ae4a-3fd8-4b1d-9cc3-ddbdf7d92c98 · outbound

This paper cites Machine unlearning in digitalized healthcare arena a comprehensive exploration, 2024.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Machine unlearning in digitalized healthcare arena a comprehensive exploration, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.866616Z

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Observation 5fab9505-1f96-4563-abdb-93eedfce12f8 · outbound

This paper cites Qwen Technical Report.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Qwen Technical Report

Reference 2

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Observation 6a396871-c9dc-42e7-9e01-c3cc97e7d323 · outbound

This paper cites Machine unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Machine unlearning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.858500Z

Source-reported events for the cited work

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Observation 443e7144-78a4-4b27-9dc0-22142e93678c · outbound

This paper cites California Consumer Privacy Act of 2018 (CCPA).

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection California Consumer Privacy Act of 2018 (CCPA)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.850270Z

Source-reported events for the cited work

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Observation ef01930e-739f-473a-8e56-e839959b5c59 · outbound

This paper cites Towards making systems forget with machine unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Towards making systems forget with machine unlearning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.842172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47eb7302-60d2-47df-ae86-d5075eaadeb7 · outbound

This paper cites Unlearn What You Want to Forget: Efficient Unlearning for LLMs.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 6

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Source-reported events for the cited work

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Observation 73111945-89c9-428b-8101-7460cb958a97 · outbound

This paper cites Efficient model updates for approximate unlearning of graph-structured data.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Efficient model updates for approximate unlearning of graph-structured data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:08.747202Z

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Observation e7224f1a-5e4c-4257-935e-0c28ad3e6e64 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:08.883964Z

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Observation 9e8f049d-0322-412c-808f-2bdf80699ce6 · outbound

This paper cites Who’s harry potter? approximate unlearning for llms.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Who’s harry potter? approximate unlearning for llms

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.829110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f196094-cdc4-4bde-b1bd-0de0fe59e7fb · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:09.222928Z

Source-reported events for the cited work

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Observation 5b0d800b-018f-408b-b94f-2d706c410a0b · outbound

This paper cites The qr transformation a unitary analogue to the lr transformation—part 1.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection The qr transformation a unitary analogue to the lr transformation—part 1

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.820869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c72dd408-ce5b-4f93-a41a-459acd7addb6 · outbound

This paper cites Erasing concepts from diffusion models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Erasing concepts from diffusion models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.813089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99986280-deaf-4815-91a1-dfd058ef89a0 · outbound

This paper cites On Large Language Model Continual Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection On Large Language Model Continual Unlearning

Reference 13

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Observation 13e1d2fb-ac4b-46f0-8df3-19585e5c0130 · outbound

This paper cites Calculating the singular values and pseudo-inverse of a matrix.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Calculating the singular values and pseudo-inverse of a matrix

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.805131Z

Source-reported events for the cited work

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Observation fae4460d-6704-4cd6-8390-e7c218c82d05 · outbound

This paper cites Adaptive machine unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Adaptive machine unlearning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.796785Z

Source-reported events for the cited work

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Observation c7c51954-42be-444c-8905-ba9223b51773 · outbound

This paper cites Jogging the memory of unlearned models through targeted relearning attacks.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Jogging the memory of unlearned models through targeted relearning attacks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.789009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1efdb82b-8d5c-41b2-87dd-8cc681ffea7a · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 17

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Observation 1ef3b725-c581-4e74-85db-f9a476dc88f7 · outbound

This paper cites SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 18

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Observation 0a2a3832-692d-4bbc-9acd-b2e64f9de5f0 · outbound

This paper cites Machine unlearning models for medical care and health data privacy in healthcare 6.0.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Machine unlearning models for medical care and health data privacy in healthcare 6.0

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.780511Z

Source-reported events for the cited work

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Observation 9c0885d9-27d2-46a7-88f0-6dbac6152efc · outbound

This paper cites Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models

Reference 20

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Observation 8681eadf-b617-4033-af9c-859a2aae9c0a · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 21

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Observation d22f2d27-4b79-4faa-b795-f7d193f3d9d7 · outbound

This paper cites A survey on recommendation unlearning: Fundamentals, taxonomy, evaluation, and open questions.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection A survey on recommendation unlearning: Fundamentals, taxonomy, evaluation, and open questions

Reference 22

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Observation f2022a9c-cf5f-4592-bc7c-ef55994e5e80 · outbound

This paper cites Blockchain-enabled Trustworthy Federated Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Blockchain-enabled Trustworthy Federated Unlearning

Reference 23

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Observation 0c1246b6-4baa-4f00-a566-e925b2a363f7 · outbound

This paper cites Rethinking machine unlearning for large language models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Rethinking machine unlearning for large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.771455Z

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Observation c748bc9a-0528-475e-9919-1bfe9c8d8ba0 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.763648Z

Source-reported events for the cited work

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Observation fae628b5-9d1c-4bf5-9192-f6a92e89689b · outbound

This paper cites An Adversarial Perspective on Machine Unlearning for AI Safety.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection An Adversarial Perspective on Machine Unlearning for AI Safety

Reference 26

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Observation dd0318e0-c1f1-4481-b45c-e0443650f693 · outbound

This paper cites Eight Methods to Evaluate Robust Unlearning in LLMs.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 27

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Observation db12b1a4-242e-4181-9d81-cc8e92c77579 · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection TOFU: A Task of Fictitious Unlearning for LLMs

Reference 28

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Observation 485d2af0-d635-456b-ae32-d5baaf56714c · outbound

This paper cites Scalable extraction of training data from aligned, production language models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Scalable extraction of training data from aligned, production language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.755121Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e465ff1f-724f-4a7e-81ed-1965ecce6cab · outbound

This paper cites Privacy risks of general-purpose language models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Privacy risks of general-purpose language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.746812Z

Source-reported events for the cited work

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Observation 3525aba1-3c43-4a60-8273-b53b4ffed982 · outbound

This paper cites Machine unlearning in digital healthcare: Addressing technical and ethical challenges.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Machine unlearning in digital healthcare: Addressing technical and ethical challenges

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.738350Z

Source-reported events for the cited work

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Observation 1bab24fd-e85a-41a8-90b7-908a059962b5 · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 32

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This paper cites UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Reference 33

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Observation a0f7461c-b327-445f-92e0-4a57fe4f443e · outbound

This paper cites Stanford alpaca: An instruction-following llama model, 2023.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Stanford alpaca: An instruction-following llama model, 2023

Reference 34

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Observation 4c3bdd73-12d5-4c89-b016-f96f757d5ac8 · outbound

This paper cites EU general data protection regulation (GDPR): an implementation and compliance guide.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection EU general data protection regulation (GDPR): an implementation and compliance guide

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.724487Z

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Observation 5bd558b7-5e92-41aa-9e48-5d5d271bc3f2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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Observation 35e5cafe-d572-4ed8-bd29-efaf0801fd02 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Orthogonal Subspace Learning for Language Model Continual Learning

Reference 37

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This paper cites Certified edge unlearning for graph neural networks.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Certified edge unlearning for graph neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.716185Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 411eb086-fdfa-4d43-98e9-8d1755373271 · outbound

This paper cites Large language model unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Large language model unlearning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.707601Z

Source-reported events for the cited work

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Observation 4628218c-ce63-46a6-b9df-35b60b2bb41c · outbound

This paper cites Right to be forgotten in the era of large language models: Implications, challenges, and solutions.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Right to be forgotten in the era of large language models: Implications, challenges, and solutions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.699738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1a457ba-857e-43bd-8559-b54a7f1defa9 · outbound

This paper cites To be forgotten or to be fair: Unveiling fairness implications of machine unlearning methods.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection To be forgotten or to be fair: Unveiling fairness implications of machine unlearning methods

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.691349Z

Source-reported events for the cited work

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Observation 0cba058e-3358-4576-9722-0486ebef8fb5 · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 42

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This paper cites Machine unlearning by reversing the continual learning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Machine unlearning by reversing the continual learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.682888Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87241260-d405-437c-b8da-6c54221f7e62 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Representation Engineering: A Top-Down Approach to AI Transparency

Reference 44

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This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 45

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Observation 3c300fbc-45aa-44f7-9c7b-e05e0af06d1f · outbound

This paper cites Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning

Reference 46

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Observation ac52d00b-d181-400f-a667-d88e892880a1 · outbound

This paper cites Federated learning with blockchain-enhanced machine unlearning: A trustworthy approach.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection Federated learning with blockchain-enhanced machine unlearning: A trustworthy approach

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:56:10.674362Z

Source-reported events for the cited work

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Pith citing papers

Observation bb68027a-d157-4eed-9564-1fcfa3f8b1a4 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.760634Z

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