Pith. sign in

Paper Citation Record · LEDGER

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

As of 16 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 6 inbound Pith citation observations for arXiv:2505.13312.

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

pith.paper-citation-record.v1
2505.13312 v1

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:39.947423Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:57.144501Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:03:51.460176Z

Reference resolution

100 of 110 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59830744-7cdf-417c-940a-795affc8ee24 · outbound

This paper cites GPT-4 Technical Report.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.556543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.556543Z digest=sha256:1d15f22b50838d93e1f7d82004da0834d8b66b38c173c60774ce7e44883d9eac

Observation 6cd35024-e9e8-46df-a7b3-5a203f871fbc · outbound

This paper cites Harnessing Business and Media Insights with Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Harnessing Business and Media Insights with Large Language Models

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:21:41.016965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:21:39.562410Z digest=sha256:6e36f4427a20e67701cf8b36b8d74d02e3949a4cf6f54a9ca3446e74d4ccee10

Observation 4da7e7ef-2787-48a5-ba27-6211cc0ed0f5 · outbound

This paper cites Open Problems in Machine Unlearning for AI Safety.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Open Problems in Machine Unlearning for AI Safety

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.566982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.566982Z digest=sha256:53d2d580f969cdf5bcdc05f8065e8b4f6a21200c3705bc73d3ea08cd5af4bc29

Observation bd5b10f9-d16d-435a-b6eb-61ddea204b5c · outbound

This paper cites Soft Prompting for Unlearning in Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Soft Prompting for Unlearning in Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.571160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.571160Z digest=sha256:8952f5b5d0a4920461e686b1e1dba9a0575e2f264026144ebf532f92999cc66c

Observation 8c272b9c-5431-469d-b45a-13d6625f97df · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Piqa: Reasoning about physical commonsense in natural language

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.575365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.575365Z digest=sha256:aa9f58ca0a20e8211c585709cb5479df1b800fed995864b6f2661b4324141779

Observation 9669de93-0ac9-4921-affa-042c0cb34eec · outbound

This paper cites Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.579134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.579134Z digest=sha256:f06b24052a6a38b9973a30304652f6712d166599c5cbc19fb7b78bb712bea55c

Observation c4774f3e-2d5e-49dc-ae80-f660ba121b6e · outbound

This paper cites Towards making systems forget with machine unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards making systems forget with machine unlearning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.583475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.583475Z digest=sha256:fdbf9c74b644474080f20c9baf8f083559c5e70beb9ae2d33e971653c849c85d

Observation d926f621-11f4-4fa1-a6e9-03f91be9c50d · outbound

This paper cites Extracting training data from large language models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Extracting training data from large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.587034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.587034Z digest=sha256:eee2968b53437ee3e169575e53229ac00d7af6e11ef0753a9d95838eb61c6eed

Observation 63cac78f-caec-4c7c-b3ef-4849c6991a1a · outbound

This paper cites Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.590621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.590621Z digest=sha256:5f508f2a941d62a986ccc911b3da8160942111b09e89fd67ebfb58c9aa879201

Observation e67c9252-53d6-460f-ae8c-93dd78e8d000 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.594390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.594390Z digest=sha256:b3f7bf952af3d53128aa4cea6e27c0c110f36c2fb69a954772b83db00f2eb6d4

Observation 795a1b16-4cf5-4f8c-8d6c-81c19f67d745 · outbound

This paper cites Safeeraser: Enhancing safety in multimodal large language models through multimodal machine unlearning.arXiv preprint arXiv:2502.12520, 2025.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Safeeraser: Enhancing safety in multimodal large language models through multimodal machine unlearning.arXiv preprint arXiv:2502.12520, 2025

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.598404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.598404Z digest=sha256:e30c24b81dd59f503b718e77b1eaabb518c03e2b1544f8d4189458fb660dcad0

Observation 78324e51-e8a5-4995-8ba7-5522c410350c · outbound

This paper cites On the Measure of Intelligence.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On the Measure of Intelligence

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.602071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.602071Z digest=sha256:3a926e0d480ae7c40a767c5b91ccbb2dfa09238fe539061714f4cb72f57aff94

Observation 5f22c080-3620-45a1-bd69-6304a2868fcb · outbound

This paper cites How to protect copyright data in optimization of large language models? InProceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 17871–17879, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection How to protect copyright data in optimization of large language models? InProceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 17871–17879, 2024

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.605851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.605851Z digest=sha256:08015cc128a82906b306db252ec016c124b26125554be0bac06c72c5a102d630

Observation 57363400-a85a-4127-8497-fd062178bb27 · outbound

This paper cites AI Safety in Generative AI Large Language Models: A Survey.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection AI Safety in Generative AI Large Language Models: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.609549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.609549Z digest=sha256:fe81df57c5521ad3078cfb8b2a5f3470c582309bc94cb8ba73e1995a4d3303e9

Observation 04644530-9b6a-4396-b69d-f53967498be5 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.613574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.613574Z digest=sha256:49456f2c0d1536694d49256da299c5cc3d4479b8a46464d31f9c97fdfee52264

Observation 6e070968-4e64-4626-b0a2-548efa6199f6 · outbound

This paper cites The pascal recognising textual entailment challenge.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The pascal recognising textual entailment challenge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.617093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.617093Z digest=sha256:3c687df16f8d06b925163bb4b7b6c512f00b3cd3887889624fcff09d8017d0c6

Observation b4b2f4a3-e683-44c6-bde9-755c4c66a25a · outbound

This paper cites Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1–39, 2025.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1–39, 2025

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.620782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.620782Z digest=sha256:4650ee59937925cb1c9d43ed2dda4c82afb8ba419f58f700a75406346968fac4

Observation 84359218-d36b-4e41-951e-b04eaef1400e · outbound

This paper cites Adversarial Machine Unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Adversarial Machine Unlearning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:21:40.859684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:21:39.624222Z digest=sha256:4570002eef7566b52f9dca87560224ee175523b284bb95093522795a6d6d6869

Observation cd00f7dc-2756-4d40-9bc0-bb807867eb94 · outbound

This paper cites Label Smoothing Improves Machine Unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Label Smoothing Improves Machine Unlearning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.627986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.627986Z digest=sha256:98edbd60ac69e90a1c087efe5d1cd37eba838424a0fa1de7f1ba8614f175307a

Observation de8b167c-7078-4cd0-bb9d-fe1092dffd6d · outbound

This paper cites Unified Parameter-Efficient Unlearning for LLMs.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unified Parameter-Efficient Unlearning for LLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.632001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.632001Z digest=sha256:9516a0bce7c4df8abb9e04a21da6fe448bfe8026ec573e5b4bb09126efabbd87

Observation 837101bf-a743-4538-ad67-b0e4f0518cb1 · outbound

This paper cites Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.635552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.635552Z digest=sha256:90952c5a5458bdb7afc6e323c15fa7dc8b0270ff6de486bb7852cdbe6ed5ca9f

Observation 42509284-e13c-4b5b-87d7-4d0566ba7f2b · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Do Membership Inference Attacks Work on Large Language Models?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.639005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.639005Z digest=sha256:2ee477897f2ba0102c5b0ac0b021a38a7ea808398685bbf3fa84d08fbca6c076

Observation ce9b0b8b-1dff-4fd6-915e-096a97adefcf · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Who's Harry Potter? Approximate Unlearning in LLMs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.643116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.643116Z digest=sha256:f8ba89eee121dc6106b18f9f09b26c8f5b35e60381111323cc29280135f6755c

Observation 1a0788e1-329f-4771-81ef-bccff379a19b · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection KTO: Model Alignment as Prospect Theoretic Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.646965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.646965Z digest=sha256:7e6632629f0851d7bec1985c180be7c8973c71aeac5f05d59e8a8746ac13f586

Observation 9640f48a-7dc5-4ec0-a09b-3e5ba29a4bbe · outbound

This paper cites General data protection regulation (gdpr).

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection General data protection regulation (gdpr)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.650766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.650766Z digest=sha256:43a8b06b213d98adbac4322e82e1b1f0e6b5a7b67355ffadbf6baa8d02a41628

Observation 4c5b9907-cbbb-4e22-ab34-27a97f9a87e1 · outbound

This paper cites Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.655060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.655060Z digest=sha256:aa02731cc2517fd02bff95621387a7a9ef1499882005ec43585a64ae955a9ff0

Observation babe65c6-c9ad-40f1-acc4-81cff5d1cb7a · outbound

This paper cites Challenging forgets: Unveiling the worst-case forget sets in machine unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Challenging forgets: Unveiling the worst-case forget sets in machine unlearning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.659032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.659032Z digest=sha256:b8f16c2a860e8380c42c3509bef38da9b22d82f6f547c3821da3cf8cc4ebc746

Observation ae4d99af-86e4-4e28-97db-a2e9e87111f7 · outbound

This paper cites Simplicity prevails: Rethinking negative preference optimization for llm unlearning.arXiv preprint arXiv:2410.07163, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Simplicity prevails: Rethinking negative preference optimization for llm unlearning.arXiv preprint arXiv:2410.07163, 2024

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.662611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.662611Z digest=sha256:4c5bab3e4c2b7a8d8d6e55fa31ab9970f0fbfb82ad9b1c1479083a89ae57933f

Observation 94448519-80bc-4577-b1ba-95377946d51a · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.666199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.666199Z digest=sha256:aadee172e739be1c738a2447c38726fc2f7b355bfa74848f72c7e053f85bc2da

Observation c34afa4d-9f93-4265-aa69-ea7cebef6afe · outbound

This paper cites On Large Language Model Continual Unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On Large Language Model Continual Unlearning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.670473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.670473Z digest=sha256:d088ebe0ed73e6f22e6312ac5fa01b274621750c8361110d0b3a66337839bbc2

Observation f16bec1a-cbcf-49ae-a2c7-168bf07281fe · outbound

This paper cites The Llama 3 Herd of Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The Llama 3 Herd of Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.674724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.674724Z digest=sha256:2e080a730b8b8a74d6ed375113e6bda45d6677b75b75bcd7a3400ede71a6c9d4

Observation 162d452f-c133-45f9-9e61-ef953f0ce1b8 · outbound

This paper cites The times sues openai and microsoft over ai use of copyrighted work.The New York Times, 27, 2023.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The times sues openai and microsoft over ai use of copyrighted work.The New York Times, 27, 2023

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.678446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.678446Z digest=sha256:5fd469132cd6a49e9032c00cd22621f3eb980e1235018602b2e94b37e10e5b2f

Observation 03cb774f-e99b-4dc3-9c49-b3df6648b284 · outbound

This paper cites MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.682213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.682213Z digest=sha256:dfa038416167a40584f254c200a4c2ab05815df30ccfbf831656e95a407985d8

Observation bf50a7f0-1072-40c0-a4dd-9550f160c0e7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.687052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.687052Z digest=sha256:b7314bee30c99fced60533bcf0b220ca0158b2d236ccd543ebca45d3721acb7e

Observation 58569e69-6e24-4ef9-abe3-00d0c911c610 · outbound

This paper cites news-please - a generic news crawler and extractor.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection news-please - a generic news crawler and extractor

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.690939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.690939Z digest=sha256:b7cc8a1bccb13b44f76af7c7a87ccacd37602fbf82820fafab025e1a060699b9

Observation a1ebcff5-35a3-45cd-8d92-14ec835ff773 · outbound

This paper cites Risk and Response in Large Language Models: Evaluating Key Threat Categories.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Risk and Response in Large Language Models: Evaluating Key Threat Categories

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.694584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.694584Z digest=sha256:a8680a6af6fe0edf21a2d99fd9034754d90092f56f43794d34db0194e6f40cdc

Observation 79bb6542-fa72-47d8-b057-2c135af6338b · outbound

This paper cites MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.698337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.698337Z digest=sha256:6e2454957b6c9f89021ec73c2ed0a64cfd7af69e7e598664d25cadf439848e34

Observation 8c24270b-13b6-487a-b5f0-e92186600cec · outbound

This paper cites Editing Models with Task Arithmetic.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Editing Models with Task Arithmetic

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.702400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.702400Z digest=sha256:789e1d73269020bb1c5e32cbe0a13eb5b7e121c9a199dd25cee808211cb70f29

Observation 84045de5-f00d-41b5-883b-1d39308d109e · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.707245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.707245Z digest=sha256:c68f0b0d1de1033eb2c4b3e71e9033d383111cd74a09f4f03792bcafd2e60571

Observation 88845c75-1d97-44d3-b94a-001dad3ac8a1 · outbound

This paper cites Reversing the forget-retain objectives: An efficient llm unlearning framework from logit difference.Advances in Neural Information Processing Systems, 37:12581–12611, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Reversing the forget-retain objectives: An efficient llm unlearning framework from logit difference.Advances in Neural Information Processing Systems, 37:12581–12611, 2024

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.711423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.711423Z digest=sha256:b7b2326ff56e816f3d925597f62b6af3fa9eb497cac18c0dce82db9ecd8537c4

Observation a56ff115-db5d-4c13-b7ed-51e1a4ed5df8 · outbound

This paper cites Model sparsity can simplify machine unlearning.Advances in Neural Information Processing Systems, 36:51584–51605, 2023.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Model sparsity can simplify machine unlearning.Advances in Neural Information Processing Systems, 36:51584–51605, 2023

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.715201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.715201Z digest=sha256:5a02341a1fbb71017904f7a6f0e9d9a1b0a2a99886b89fce0cb1682546d0a8c3

Observation 0395c996-c3d9-4284-b592-cc1e441ddd04 · outbound

This paper cites WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.718875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.718875Z digest=sha256:50399eae31e840bb6645d8801681f9372450b8e7237fa425b2b606858563ef91

Observation 6bce8cd3-759a-419a-aa05-8259dd49bfc1 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.723036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.723036Z digest=sha256:ad06aa373a6930cbdde3f83965ac2880e56f903f60e69454c1053f55c0866026

Observation 16904a84-8cce-4e4b-bbda-ba6b0b03d3ba · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.726819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.726819Z digest=sha256:16e058ef99587265d8cb8ba46a5458c9a3939ad07d0932773fa993ac1bff8462

Observation 23c23a87-23dd-4613-992a-29cfc6ec8d99 · outbound

This paper cites Copyright Violations and Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Copyright Violations and Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.730672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.730672Z digest=sha256:af89d52aa7ec8d0b7e5068d3d76c50885bf81fdbbdd535ae3c38bb7399572e7f

Observation 17678326-0258-4c81-8131-760815dfba94 · outbound

This paper cites Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.734390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.734390Z digest=sha256:def540ca59e09ed753d779dbd0a02cc1c8df8a32a6691e72fe3e7a3bddadf66d

Observation 0e3927f4-7f40-404b-9088-1e221bb46c0b · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.738654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.738654Z digest=sha256:67dbb77b51f6a9bbd3bbc77b8ff0dc81fb4516a998fd5b3338f9936cc8faf87c

Observation 8d5f37e4-8ef1-4e69-a877-c36b5c774f10 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Textbooks Are All You Need II: phi-1.5 technical report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.742286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.742286Z digest=sha256:afe7cc24c7978c04bcca90abd98429e133e400198b5610b4e00ebefc51cb6d5f

Observation bda671ae-0d82-4431-9cb8-d2a5da076362 · outbound

This paper cites LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.746110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.746110Z digest=sha256:46680d8e8e103699913b2cee27e0cebe3e66dac4fe30a6d072f76a3172184d0c

Observation e7cb8c9e-d472-4ead-8982-7756e303457b · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rouge: A package for automatic evaluation of summaries

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.750058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.750058Z digest=sha256:68f81fded909c38e09863ee6fff98356d12b32b0dcbebb5510f7d7b7f572dec4

Observation b10c6e58-420e-4515-8901-bf9716b9e7a6 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.753800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.753800Z digest=sha256:802725b13a7ba5c2599a009cf287a2892e9cb48c6c6757fdfb52d6fc38e5d89e

Observation 501f7b88-fab1-4d67-bfe5-ee13f4ed1b1e · outbound

This paper cites Continual learning and private unlearning.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Continual learning and private unlearning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.757639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.757639Z digest=sha256:1823c997e8be783efb2fbde70f04e5637e458cde4e08c486e6baaeb7cff332c4

Observation b8089cb9-5de1-4a34-aaff-d1ee756e1523 · outbound

This paper cites Large language model unlearning via embedding-corrupted prompts.Advances in Neural Information Processing Systems, 37:118198–118266, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Large language model unlearning via embedding-corrupted prompts.Advances in Neural Information Processing Systems, 37:118198–118266, 2024

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.761302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.761302Z digest=sha256:95b69d24b932b60a98ea825875f2e05e4f6b022c2a5135609e49631e816fc5d4

Observation fe36371e-b580-4183-9a4b-93ca1b0d6d88 · outbound

This paper cites Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.765014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.765014Z digest=sha256:4a6c46a8709679f8ac22874bd327204558ea99a6f08fd8cd6bba86b1885baa0d

Observation a748563d-be7f-4703-ba3b-4c37df9805d8 · outbound

This paper cites Rethinking machine unlearning for large language models.Nature Machine Intelligence, pages 1–14, 2025.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rethinking machine unlearning for large language models.Nature Machine Intelligence, pages 1–14, 2025

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.769505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.769505Z digest=sha256:6dd61b82c98ebd48355ed35d8940d5fa460ac8f44706e97dc79af7c5c4f58da2

Observation 1e3977c3-4a62-42be-b086-cb3e2577124a · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.772952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.772952Z digest=sha256:d3ce6156141fc7f5afe5c298cdfe605f5ac63a02de14213377808593502e8450

Observation f636834a-8c06-42ab-9bdb-0c94d52890f3 · outbound

This paper cites On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.776733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.776733Z digest=sha256:dedd361b2c23725cff0b4279e8c60c2f25893627de79a9908096c5e5e393f4e7

Observation 4ed40bcb-92dc-4cc2-9c87-6f7b96ae5d14 · outbound

This paper cites Decoupled Weight Decay Regularization.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Decoupled Weight Decay Regularization

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.780492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.780492Z digest=sha256:60b00865129c0b89fb5f3b0ec1d6f21796e7ac9e9b2654b00ea34141011ba1bc

Observation cf1ae6c6-7723-4cdc-b08b-417e90cea1b1 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.784884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.784884Z digest=sha256:59821d8cd01dca57c144cddcdab6e92fcf29dab285e542b9908be2b26e5121f9

Observation 0828432f-d54c-47a7-9a97-d7328c564cb3 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TOFU: A Task of Fictitious Unlearning for LLMs

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.788944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.788944Z digest=sha256:5ea503d66859454bbc091a6cb4fbfc28bc973c3d966d254ffd319b296c5c7e7f

Observation 2ff95b63-54f9-43d7-91dc-b8ec4906bb1a · outbound

This paper cites Llm dataset inference: Did you train on my dataset?Advances in Neural Information Processing Systems, 37:124069– 124092, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Llm dataset inference: Did you train on my dataset?Advances in Neural Information Processing Systems, 37:124069– 124092, 2024

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.792867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.792867Z digest=sha256:441b862228eac9882d8aab7ee6d5904a0a586c4b18d402914776b27fdbc60247

Observation 617b9275-e143-4565-9f3d-df1baf3259f9 · outbound

This paper cites Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.796331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.796331Z digest=sha256:d3ef16ab4fa57a8e20689ed0043273b817608941dfb629c6739d543b7fe3f1f6

Observation edc72172-c8ae-40ed-8382-a9409496ee30 · outbound

This paper cites Pointer Sentinel Mixture Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Pointer Sentinel Mixture Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.802037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.802037Z digest=sha256:37cc05bb26c173cbea03b6dc32a70e3d5cb72d0ecde7d44e83630702d6708e33

Observation 2f6d2854-2598-4d37-9427-d97843bbc75d · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.806132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.806132Z digest=sha256:09720eef2cf464479180ebe7c30a12efc1da554b435cf0870896a24dd95d19c1

Observation 5a83c2b9-daa0-4ad9-ace8-4dc9882ef711 · outbound

This paper cites Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.809889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.809889Z digest=sha256:47a377bffe44864d814d7fbb3e8504c9c68b295aa8f96fd8a22781c9a2dcce06

Observation fde59b03-eb54-481d-9487-bad9bd347b4b · outbound

This paper cites Quantifying the privacy risks of learning high-dimensional graphical models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Quantifying the privacy risks of learning high-dimensional graphical models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.814010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.814010Z digest=sha256:8f8d2b944d5f63237aeef77f44e939e230409768a249923fe2690dcfe25437dd

Observation f559cfc0-ce9a-449f-a011-0d642fd5423d · outbound

This paper cites Unlearnable algorithms for in-context learning.arXiv preprint arXiv:2402.00751, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unlearnable algorithms for in-context learning.arXiv preprint arXiv:2402.00751, 2024

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.818528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.818528Z digest=sha256:8a2bbb0af78a7d8fd6450e25521b481d3635c1014d38b9e78ce42527cb1e8e34

Observation c59558da-a620-4fc9-9172-f4a4bed27697 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rectified linear units improve restricted boltzmann machines

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.822276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.822276Z digest=sha256:31e35a16bfc039ced2621a562d61fea35ed79532b343586631093698c265d1c6

Observation f0c5cc9d-d11e-43e8-9cae-50a5712ac8b3 · outbound

This paper cites Token cleaning: Fine-grained data selection for llm supervised fine-tuning.arXiv preprint arXiv:2502.01968, 2025.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Token cleaning: Fine-grained data selection for llm supervised fine-tuning.arXiv preprint arXiv:2502.01968, 2025

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.825974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.825974Z digest=sha256:4f93d0aafa9c628407c37a1564bd813bf638f8467222563e29368db43cae3ed6

Observation 804a9e64-4ad9-417d-98f7-199939e8049a · outbound

This paper cites Improving data efficiency via curating LLM-driven rating systems.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Improving data efficiency via curating LLM-driven rating systems

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.829338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.829338Z digest=sha256:629e084d63f2db9776b56614a5a4737d912a45940c4dbf083cd389a8cdc2f9bc

Observation 71a06f07-7ff9-4264-8560-d6d2b901f7b9 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Bleu: a method for automatic evaluation of machine translation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.833907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.833907Z digest=sha256:89c334ff35133a31fe34df26f7b325bf5eae77fffc2db2770b17f52d290a2856

Observation c88d18ce-f1cc-49c2-801a-bc07ac169b67 · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.837453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.837453Z digest=sha256:6d118c1443f137ebf6e4353a6d500330873ceef40aa89a30c6a63547a0850d80

Observation c82ba4b4-e44b-45f8-8d58-748ce222b784 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Direct preference optimization: Your language model is secretly a reward model

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.841648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.841648Z digest=sha256:832d2f663252a2eedad8165bb45de477c5114cc92b7c1ae123c2aec423720fbf

Observation 72e70db7-5fde-4790-89be-1d40495af6e2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.845431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.845431Z digest=sha256:3b81b92229bcc247d1876179e6d648fc6bb120ba13e47362fdc139db1953c0b3

Observation a2299086-9103-4dbf-ab89-afa0f30a1519 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.849331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.849331Z digest=sha256:69c2af58a67f3d9b531cbc236d47b6dec71388edc1d100de73d3058dd269b31b

Observation 9d6236bd-7d0f-423c-b430-b45740270c74 · outbound

This paper cites LUME: LLM Unlearning with Multitask Evaluations.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection LUME: LLM Unlearning with Multitask Evaluations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.853165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.853165Z digest=sha256:887929b61e4a3d799e88cad08839b1f46893aa787b44f512558db940bc79927d

Observation 3e29911c-287c-4e37-acee-2f260c51e111 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.857342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.857342Z digest=sha256:2a988015b02890e5befcb8208bd995f4c33fb36e2d7516e3056eb9584212b4e7

Observation e4ec0f6e-0d7b-4c16-8451-b0962d4350b5 · outbound

This paper cites Scholastic Incorporated, 2023.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Scholastic Incorporated, 2023

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.861092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.861092Z digest=sha256:8543a75272e1f57b2629337fe5b062bb38186fb0cc52f398052fa7ba7b3a83ec

Observation ae260f04-c9c9-4202-9fdd-81110a24b291 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.864885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.864885Z digest=sha256:80142e46e4ec085637e0eded4078153bfa4237e701a3795d9168a5e5eb58c88e

Observation e8c21e6a-28bb-44e3-9adc-64c137c5aa72 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Detecting Pretraining Data from Large Language Models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.868297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.868297Z digest=sha256:8c6c8ed951c09e60bf4621162d5a9efae9e03529518bc4dbf03103e5e50d93a7

Observation 2dfbce3b-c3c3-498e-abc0-679dba0b83e5 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.871983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.871983Z digest=sha256:3fc736823041b1435a47933f51cd6716a7f0575f7173e0d580c03021607b22a9

Observation 7b53763d-bd1c-4ad0-b732-df2112c71c6e · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.876291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.876291Z digest=sha256:7957f7aa85a112e0ddb982775c9d407a6da0b04a7575357cf2817e3ebf969039

Observation 2baaf251-8055-4499-b99b-c2a655b296fd · outbound

This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.880350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.880350Z digest=sha256:168c322ab6e47a859c921ffb272d6b1ee672d0a3e23548d9b8ebb3585cc87de1

Observation fe7f63e8-b3a0-4db9-b65a-b3644cb1a661 · outbound

This paper cites Galactica: A Large Language Model for Science.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Galactica: A Large Language Model for Science

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.884163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.884163Z digest=sha256:e00549b11b64d48f6643825f87e6295c9d2f9a35ceefaf5dfb587b6c763001a1

Observation 5e75d97f-394b-4e23-ad84-94fbe293e8a2 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Gemini: A Family of Highly Capable Multimodal Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.887676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.887676Z digest=sha256:992f84433c0354dfd863c2f06a26696c99c0fe016db3cab339f376f7286be0fe

Observation 71b8607b-f3dd-4c22-abe2-b083031b5d49 · outbound

This paper cites The falcon 3 family of open models, December 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The falcon 3 family of open models, December 2024

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.891622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.891622Z digest=sha256:9122ca93e46668f0eecc76ba70d260a08d90c0d521a09ca2ebf11c961775b310

Observation 52c73be3-98bb-4f4d-beab-8c61a52af5d4 · outbound

This paper cites Guardrail Baselines for Unlearning in LLMs.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Guardrail Baselines for Unlearning in LLMs

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.895079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.895079Z digest=sha256:2f40249a5d0c41bf54d242423e17a11eaad780dc48f99a970a09d29ee3d1b084

Observation 647484dd-bf91-40c5-9502-28218dee089b · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.Advances in Neural Information Processing Systems, 35:38274–38290, 2022.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Memorization without overfitting: Analyzing the training dynamics of large language models.Advances in Neural Information Processing Systems, 35:38274–38290, 2022

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.899090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.899090Z digest=sha256:30588695652f2b65c411611a38c688dade8366a5960fc2feeb6d7998c9f3fbad

Observation 12906d9d-2c2b-4a14-819f-f363c71df942 · outbound

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

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.902583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.902583Z digest=sha256:5b4257a08a336eca67eb105cea7df839d26a5cbcd00470557b618d98297eb2f8

Observation 5778b8d2-bf7a-4bdd-8830-f41a563f70c8 · outbound

This paper cites KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.906241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.906241Z digest=sha256:26943a113098c5ac6d93cc3ab21d07ebcb08126f12b73da6dd6a44aa4c5fbab1

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

This paper cites LLM Unlearning via Loss Adjustment with Only Forget Data.

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=sha256:7e1c9663f621dce55376667b8ecd427d5d7ad9890ecf83c0d3649d246cc005c3

Observation dd25faeb-d8b9-4cb3-8ba8-ec5af3903cf0 · outbound

This paper cites Distributionally robust post-hoc classifiers under prior shifts.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Distributionally robust post-hoc classifiers under prior shifts

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.913972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.913972Z digest=sha256:868667696debb09285b64113c704bd4c5ff406af04533e1cc3492bfd621398f5

Observation 7d47862e-113f-4b1d-9df9-28d593fd60af · outbound

This paper cites Measuring and Reducing LLM Hallucination without Gold-Standard Answers.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Measuring and Reducing LLM Hallucination without Gold-Standard Answers

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.917798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.917798Z digest=sha256:f567ad31eb60a1671c005e1d0286d5d14f544d626babcab60623cf8078d587c2

Observation 78e11f5c-d982-4dab-a9ab-29e7344220b2 · outbound

This paper cites Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.922316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.922316Z digest=sha256:a185663ed50f7e4f80b6c8b12aaea3b465f50387645a95471161123bbb348c7b

Observation b5641037-d00f-43b6-a2d5-7544d8b58ac4 · outbound

This paper cites Machine Unlearning for Traditional Models and Large Language Models: A Short Survey.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.926816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.926816Z digest=sha256:c6faf6f568068494012c465c88ff0b6234570bae3559e875e69a53d2af28b6d4

Observation 6f274635-e810-4eda-97bf-49f0ade0dbcf · outbound

This paper cites MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.931675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.931675Z digest=sha256:dee3a51c17aaac31198c2416c827cdd24c394820c031d53d26a55f5cf774d174

Observation 19048c04-94c3-432a-a530-6193a414e309 · outbound

This paper cites Qwen2.5 Technical Report.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Qwen2.5 Technical Report

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.935651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.935651Z digest=sha256:6b672040408f35b82ef70294fe5be59ab73eedc36412fed69ae8853d4b35e434

Observation 7d6750f5-3e60-4840-b185-9e181fef34a4 · outbound

This paper cites Machine Unlearning of Pre-trained Large Language Models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Machine Unlearning of Pre-trained Large Language Models

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.939755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.939755Z digest=sha256:5a1a8d61a1bab67217b0976d528812d550624ccb0f25cd416b9bb2481a56bbcb

Observation a6c32854-0696-45a1-a519-675f6ed005b8 · outbound

This paper cites Large language model unlearning.Advances in Neural Information Processing Systems, 37:105425–105475, 2024.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Large language model unlearning.Advances in Neural Information Processing Systems, 37:105425–105475, 2024

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.943769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.943769Z digest=sha256:66da5a3e922228f938fc0c6ae11431bd992dddf4e3b9b0a69c82e8ef53095ca1

Observation d3ef7cb7-4634-4f32-b1c1-688cd0b14ca0 · outbound

This paper cites Enhanced membership inference attacks against machine learning models.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Enhanced membership inference attacks against machine learning models

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:21:41.076001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:21:39.947423Z digest=sha256:fa05e04eef64b7a036f1f4ef37640ab7767c52b3ba12dc062cef6e361d45515d

Pith citing papers

Observation 288ca9e8-4228-4e6d-8f97-4209e5d4640f · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:53.560741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:53.560741Z digest=sha256:9d841bec832b50b7e9e0590fcafaa2a592051634e11770e46a836cad7f44a773

Observation 76661dab-7cfa-45be-9e30-edf81ba2859b · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:46:17.073910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T10:44:53.516653Z digest=sha256:ac92b26320f8b26020ac7c19a311acf62d05603813179e77c326de72630ed355

Observation 366e5cca-85ef-464b-9600-766316b61a7d · inbound

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding cites this paper.

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:36:25.927251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T05:08:07.862797Z digest=sha256:f131a8bb431e267e13e1959b6337e2a899f0f312f37491d71d36129ce0dab1fb

Observation d50c33c0-e594-4a35-897b-5a94ad803b95 · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:52:48.232469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:52c77156188fdcd1abebc7056bdeab7bf2b767a0174ccfbb3a8230ba039af7c2

Observation 2ba229bb-95b0-4938-baca-89fde522a047 · inbound

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning cites this paper.

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.462591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-29T18:55:36.515230Z digest=sha256:cd85a4c45ad41b99f66a6addeab53f8ecc7d9a020b68808455084ccca4ab3f9f

Observation 1b8db8b2-702a-4227-96ea-b911df4b3608 · inbound

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning cites this paper.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:57.144501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:57.144501Z digest=sha256:7d2031174701e5cecc0fce4d182b03f69736f8f57fdd1bf93ad379943892b995