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Paper Citation Record · LEDGER

Who's Harry Potter? Approximate Unlearning in LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 66 inbound Pith citation observations for arXiv:2310.02238.

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

pith.paper-citation-record.v1
2310.02238 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 66 of 66 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:33.480384Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f0e0d19d-04b7-4eb4-afdc-1bc3182c33d1 · inbound

Detecting Pretraining Data from Large Language Models cites this paper.

Detecting Pretraining Data from Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 14

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arxiv_id, observed 2026-05-17T18:07:24.698484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-17T18:07:24.533329Z digest=sha256:1d48c06f1e463e6293139d51ebdec2c99795ca285a42cc6ddffb2177652f7644

Observation 598f60e9-ed85-4b6f-947f-cb1993a91998 · inbound

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

TOFU: A Task of Fictitious Unlearning for LLMs Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

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arxiv_id, observed 2026-05-16T11:07:39.257550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:72982f240ec0a121accdb15a13ff3810710ded9d45a9afabbf565a5a178af9ed

Observation 7e5c0730-e726-4802-ba6d-12b0f4098f21 · inbound

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

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

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arxiv_id, observed 2026-05-16T22:26:55.121809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T22:26:55.008143Z digest=sha256:09bbd6086c9b7996ddbe0aadf3229016e2fa78bf2551afbe4d29620299cb8f5c

Observation 374ab85c-f1c6-475c-8dac-27ae063128ce · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Who's Harry Potter? Approximate Unlearning in LLMs

Reference 197

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arxiv_id, observed 2026-05-23T21:55:50.625879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:bcd6224a0d61e9d37a1915f919cebf71e62c9340037a9fcd4d3076a3c1076a74

Observation 2608956e-4e6b-4836-a99b-31cd34af3b56 · inbound

Improving LLM Unlearning Robustness via Random Perturbations cites this paper.

Improving LLM Unlearning Robustness via Random Perturbations Who's Harry Potter? Approximate Unlearning in LLMs

Reference 10

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arxiv_id, observed 2026-05-23T04:42:33.319702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T04:41:47.910423Z digest=sha256:a096f3c2aa2a68b1f9fa6c2d986dbc2af27abc8f66220ff4473c62dc415eebc9

Observation c2bc94c4-c38a-4dad-aac4-0c14327d6dfa · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

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no resolver link, observed 2026-08-07T05:33:33.480384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:33.480384Z digest=sha256:bf8ff09e6e344ad311cc13fb01b3633088f55675c99881ee6345a129393921e3

Observation d69c8966-0943-4b31-b2a0-1a927c408261 · inbound

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

SoK: Machine Unlearning for Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 44

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no resolver link, observed 2026-08-07T04:58:50.652465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:50.652465Z digest=sha256:1f356c7c511ee83d4d7d0cfb912ffa3f91bd3bb00b31da001ff93ce3f7c48e5b

Observation 6224a955-ca34-442b-aeb5-51011391d676 · inbound

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods cites this paper.

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods Who's Harry Potter? Approximate Unlearning in LLMs

Reference 3

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no resolver link, observed 2026-08-07T04:37:06.784382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:06.784382Z digest=sha256:a6921b3b2ae001908474071b7dbe58e9e756165af4b46b6b53f4d1e5a3df0443

Observation 2a873164-27e0-4932-9b91-e1a2168124e7 · inbound

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

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2009

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no resolver link, observed 2026-08-07T04:16:59.023293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:59.023293Z digest=sha256:e9ecedd7389c1eba87f56f18bc80b2f68692cbbd89b8e9cabd8e903a57665255

Observation a625eacf-d782-4124-95f3-457d74ccc836 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Who's Harry Potter? Approximate Unlearning in LLMs

Reference 33

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no resolver link, observed 2026-08-07T00:46:10.029882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:10.029882Z digest=sha256:e3c9bd35b618e1042d280ad56e6140e459a14f758525a6924c32e17988fcfd17

Observation aa0ba5a9-6e66-4982-a548-b54f0c95ec7c · inbound

The Space Complexity of Learning-Unlearning Algorithms cites this paper.

The Space Complexity of Learning-Unlearning Algorithms Who's Harry Potter? Approximate Unlearning in LLMs

Reference 34

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no resolver link, observed 2026-08-07T00:53:46.902359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:53:46.902359Z digest=sha256:1f2d15834468b7cb99910802584e36e176769ea47044889f13370ffe396f59b4

Observation 295d9b49-6d0f-464a-a8b9-7a2a4f3e1cf2 · inbound

Revisiting the Past: Data Unlearning with Model State History cites this paper.

Revisiting the Past: Data Unlearning with Model State History Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

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arxiv_id, observed 2026-05-19T08:13:01.704958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T08:12:19.391973Z digest=sha256:253457971f4404e5117b3340f1b248ee7b29df49b45cfa64a6cac584c43187fd

Observation 6a9082b9-f821-46e3-8247-42da4155c540 · inbound

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs cites this paper.

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Who's Harry Potter? Approximate Unlearning in LLMs

Reference 8

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no resolver link, observed 2026-08-06T19:59:51.137003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:51.137003Z digest=sha256:414ec1f55ca67aaf49eae7a3e2f7189a49e4975b298ff68b845c5d121a1ff9bd

Observation 12ccf385-c969-4337-b35c-c33e0a977a26 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Who's Harry Potter? Approximate Unlearning in LLMs

Reference 16

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no resolver link, observed 2026-08-06T17:21:33.578374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:33.578374Z digest=sha256:34d98a8ee4fdf3defbe0d39ba7634102203fea470fe2268285974859cf3f05ea

Observation fbd3030e-c2fd-4d2e-8fd3-060ff1a1f8e4 · inbound

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models cites this paper.

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 13

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no resolver link, observed 2026-08-06T19:08:22.691578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:22.691578Z digest=sha256:26aa07dd30e1d2209ce13ff372db552e557ef091e56da99decfdd9aeb09c841b

Observation 924c70f7-15f7-4cb5-b7c1-90ba9296654a · inbound

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss cites this paper.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2

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no resolver link, observed 2026-08-06T15:22:15.992489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:15.992489Z digest=sha256:90eb21bdbc181aff7161376d1044ea3d0bb8e407acd443737696c9e03d7616cb

Observation 6b30c81e-2f10-4bc0-9448-4182fdb85951 · inbound

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

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction Who's Harry Potter? Approximate Unlearning in LLMs

Reference 55

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no resolver link, observed 2026-08-06T13:54:39.587728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:39.587728Z digest=sha256:20668c4e8ed4ae992c944161f11f112182c298533ba5e97db20db6371c0c2459

Observation be23f11c-aa99-4441-881a-a78550e90ab1 · inbound

Towards Integrated Alignment cites this paper.

Towards Integrated Alignment Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2023

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no resolver link, observed 2026-08-05T22:56:28.183707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:56:28.183707Z digest=sha256:e4e57e38ae56ab8b3cb96e6378851b8dd9c32d373cab04246b92c0305f4b85f0

Observation e7056a38-ea2d-44f9-9b56-dec1254c3b40 · inbound

Module-Aware Parameter-Efficient Machine Unlearning on Transformers cites this paper.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Who's Harry Potter? Approximate Unlearning in LLMs

Reference 8

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no resolver link, observed 2026-08-05T17:06:08.904149Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:06:08.904149Z digest=sha256:837fc040eac67af4585b96645a34cc5ce2cd5bec1a9dca31d177fd3fc9f0b3de

Observation 3fb34b7f-5f79-4056-945a-5dabe56ed02f · inbound

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

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Who's Harry Potter? Approximate Unlearning in LLMs

Reference 84

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no resolver link, observed 2026-08-04T17:46:17.162498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:17.162498Z digest=sha256:2b7f5941947f41bac5eabe2c81756876322e7a7e79f7ac3218f9b6e166fc762d

Observation b93afa22-19dd-4a85-83fb-87542c2f3314 · inbound

OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.

OFMU: Optimization-Driven Framework for Machine Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 8

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verified exact
arxiv_id, observed 2026-05-18T13:06:23.493363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T13:05:50.233483Z digest=sha256:e7c4239ac036355b364e6c389fb9f106ea6bfbb16bb8ea8370a9dfcdcfee554b

Observation bede1493-016e-437d-a4da-f852d5d58d62 · inbound

The Realignment Problem: When Right becomes Wrong in LLMs cites this paper.

The Realignment Problem: When Right becomes Wrong in LLMs Who's Harry Potter? Approximate Unlearning in LLMs

Reference 6

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arxiv_id, observed 2026-05-18T01:30:35.768487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T01:28:29.056145Z digest=sha256:15f64a633213eef20d747ea15c17cc0019285c873984e5c11ab90ae08451981d

Observation bb69cc0c-8a5b-4536-9faa-636ec616d737 · inbound

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories cites this paper.

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories Who's Harry Potter? Approximate Unlearning in LLMs

Reference 15

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no resolver link, observed 2026-08-03T18:41:34.006399Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:41:34.006399Z digest=sha256:282da3a06d7a36d9d860fe07a1ffac9b832a1f82b0da5e33b91f4f88b8971b09

Observation db175ba0-48ff-4dd8-924c-8b5e71f7d290 · inbound

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning cites this paper.

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 19

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no resolver link, observed 2026-08-03T10:37:00.366212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:37:00.366212Z digest=sha256:687da0840f065d7af965ade348a9f211bf6f542b8045332dff07d75c33e5dc47

Observation cd55a782-bc3a-4c2b-8c64-b16af2412c3a · inbound

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance cites this paper.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Who's Harry Potter? Approximate Unlearning in LLMs

Reference 23

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no resolver link, observed 2026-08-03T01:20:06.622090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:20:06.622090Z digest=sha256:18067d26fde37b8d58623be732d339024f316afc58e84e52318d5626e72ef1f8

Observation 2033d400-ff81-4582-b8ab-16cdc8fee09a · inbound

CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization cites this paper.

CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

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arxiv_id, observed 2026-05-10T08:53:04.763256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T08:48:12.941821Z digest=sha256:ba5fd999d13172ca91058e52185f6e462cdfab38ebac0b96ac4b633e789145b6

Observation 6bcac1bf-07e5-4958-b0c9-d2200f46efff · inbound

Position: No Retroactive Cure for Infringement during Training cites this paper.

Position: No Retroactive Cure for Infringement during Training Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

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arxiv_id, observed 2026-05-10T09:38:42.874431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:12:31.088843Z digest=sha256:00fbd7e0ef466604a0cd372962d3282180226d7ee35ff5feb046993ee60728ae

Observation 4d970d56-ddc3-4190-94b9-48dc3d79bba6 · inbound

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression cites this paper.

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression Who's Harry Potter? Approximate Unlearning in LLMs

Reference 106

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arxiv_id, observed 2026-05-11T13:21:05.113947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T01:56:27.674057Z digest=sha256:24adddaa99f7ab1357bd610d970119d88e3abb76a2f8d238983ac2026d97f02d

Observation 9cb5a84a-7a90-4752-bafe-e1af968aa37d · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

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arxiv_id, observed 2026-05-09T22:34:07.380280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T22:26:34.487400Z digest=sha256:3326756e8239c44640a0d58eb27d21157bf012f000b649796207ff1a121e856b

Observation 90a83093-550e-4c82-8652-47cb32f3a399 · inbound

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning cites this paper.

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2

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arxiv_id, observed 2026-05-11T15:36:06.707907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:39:15.279115Z digest=sha256:f285cc1b4707802a10416b5aec0f78076154022b8f0d64426c79c430c1bb39f2

Observation 43fe5645-feb8-46cb-a91b-707ed4be28e8 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set Who's Harry Potter? Approximate Unlearning in LLMs

Reference 67

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arxiv_id, observed 2026-05-11T16:11:08.470197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:2c9cadef6e7b944c5ecd9f10f5a7acfa221f918a8ca1703d3ecfbd985775a8fb

Observation b5f63159-d29d-499f-a391-912ca1e277f5 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set Who's Harry Potter? Approximate Unlearning in LLMs

Reference 67

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arxiv_id, observed 2026-07-01T07:35:28.958459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:e714276056ac95e59e3cca707cc42b536180199c66110351fc5c16b722823347

Observation 39144b72-90b9-4315-9eeb-bb93cdc95222 · inbound

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance cites this paper.

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance Who's Harry Potter? Approximate Unlearning in LLMs

Reference 14

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arxiv_id, observed 2026-05-09T05:55:30.179097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T19:24:04.945551Z digest=sha256:2e78117b29e18748a8b7da3598986e9cbd16a4f2d158efc5661599360d3f9d87

Observation 888d02ba-f112-467b-8900-c563c7067f2e · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 16

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arxiv_id, observed 2026-05-09T06:10:41.756539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T18:49:53.432959Z digest=sha256:f22266b14722f0949845637e335290ff1e92a50e0fa261c1b0b1d38884bbf734

Observation 9d9b4a98-2b6e-4fbf-9bfc-d5c15474c31f · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 16

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verified exact
arxiv_id, observed 2026-05-11T01:50:51.160115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:49:51.021741Z digest=sha256:0723c700194cad21ff2695f83bc961a03ee7e8ce7afb20a5b695368da3cbf2fb

Observation e8461eee-7e29-484c-b0db-02dfa0521aef · inbound

Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models cites this paper.

Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:43:27.397693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T01:43:22.777232Z digest=sha256:7118c0d168ae20b695fedc690a1911ac3bc01652eb35ccfc1028996a5d34995c

Observation 6e7d7b20-99f7-43d6-ad52-f23072e62aa4 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T16:28:38.842438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T16:26:01.465527Z digest=sha256:dc1200054fd2f1b4b822a7e121c17173bea1bc8fd93c6b370f244184555f3dc3

Observation 02d186bb-c04e-4963-9256-f552bf212358 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:09:51.681184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T08:06:07.708392Z digest=sha256:cc08dfa4ba33256489013afe13fffbf1cdd5a032304ce03fe2459adc1f001c6d

Observation 0c415803-7923-4b94-a548-98f961453dc2 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:35:01.467712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T19:30:17.256728Z digest=sha256:a37685b0907bfeb588d726d93e6267767572767039ce897a1e542f84bb661acf

Observation cf74c0b3-61c9-47c8-ac99-222eb2845735 · inbound

Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries cites this paper.

Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries Who's Harry Potter? Approximate Unlearning in LLMs

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:13:21.274913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T14:10:50.885027Z digest=sha256:48802c75423138f1b885eef5bf4da105254f7a71f0559782a016f6f751f0dbbe

Observation 6b055248-340c-4fcb-9fc3-fd29f6cbdcdc · inbound

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models cites this paper.

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:49:35.730051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-21T04:45:29.248815Z digest=sha256:88a291d5ddce7115649eecca634c29fc956fc5a2a2e8dfbff22918062672de6a

Observation fd8d0a93-e4fd-4004-9a5c-f6daa31e6a89 · inbound

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Who's Harry Potter? Approximate Unlearning in LLMs

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:24:57.265788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T17:20:16.735285Z digest=sha256:93effc34e2166c96facb11268b84503ed30eb02e78391c5461bf340a9c95dbe7

Observation d7da06b5-ec16-4f05-9bf6-28e667a5f05c · 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 Who's Harry Potter? Approximate Unlearning in LLMs

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.484661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-29T18:55:36.515230Z digest=sha256:e2176768b009aa824a9c03e30b32c09843c3e230cde382eb41bee9f9f2a75195

Observation 2716d7a5-d921-4dec-a671-02c0b7b1904e · inbound

How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning cites this paper.

How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:26:17.359535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T15:26:20.002840Z digest=sha256:d7e9ceebbbfb8e598c3d80ab0f0164c9d49058d646eac94db0546c1b715ca7f2

Observation 62d44177-86dc-459f-b1fe-353bff5cadfe · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Who's Harry Potter? Approximate Unlearning in LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:02:19.036051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:a7a85abe1b7af7d686a270c0b0ad266225570a856ba4cf2e48d712f75f961455

Observation 36c6f97f-abf5-4eb5-ad1f-a926ca68412f · inbound

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior cites this paper.

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior Who's Harry Potter? Approximate Unlearning in LLMs

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:16.665986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T15:19:32.238094Z digest=sha256:91f1d1b48e3466dc7e5e9cfc4bc4aeacda7764c8c9e10721f8d56b1ffc9b0beb

Observation 5b6875ad-dbeb-432f-af2a-5c5681155ea2 · inbound

Fast Unlearning at Scale via Margin Self-Correction cites this paper.

Fast Unlearning at Scale via Margin Self-Correction Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:26:18.070385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T15:21:26.391287Z digest=sha256:d134400d14b97863c157fe484d5395332f14f0f58af6fb8c166c22045a1c3b98

Observation 6df2b21d-8a76-48c6-9bf7-7013792bf942 · inbound

Exact Unlearning in Reinforcement Learning cites this paper.

Exact Unlearning in Reinforcement Learning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:27.366507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T10:46:55.628430Z digest=sha256:4eaf0d0f26e8566b668cde715f9ae272b5e4672eb9f158eae0cc04da6c15a2ef

Observation 4e382f14-a269-4568-8673-fc03572323e6 · inbound

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference cites this paper.

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:09.461793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T22:18:43.046828Z digest=sha256:0895218955ef107281230ae118e69827e00257734a400a55ad7ccc1479c5cd4e

Observation f4cb852a-c8ba-4ce6-9b9f-894ba93721a9 · inbound

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

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:07:21.173959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T21:04:06.408281Z digest=sha256:febb856b08ab540d282e91070a6f8656a01baba23538c711f3b3caf429f8be6d

Observation 2c5520c9-7139-4962-9efe-799dbaba3d89 · inbound

Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model Unlearning cites this paper.

Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:47:38.799656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T13:34:45.827277Z digest=sha256:f7b261da42ab53d4205a6d574c651820a183415234ba220f726c8cb8a16fbf76

Observation 7496b0aa-fd80-438e-9114-bb740ce6c235 · inbound

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models cites this paper.

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:19.374326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T07:42:45.896118Z digest=sha256:c0259f47862f98aedcae5478beab5d85db16d41769572dff1c66a2e2c40db595

Observation 3d3870ac-3a10-4d94-89e8-9c91a124e125 · inbound

Revocable Learned State via Process Sidecars cites this paper.

Revocable Learned State via Process Sidecars Who's Harry Potter? Approximate Unlearning in LLMs

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.316717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T06:44:00.690600Z digest=sha256:b70dc151c95ba1b632ebf455ee83b35ea240c9be4765db61578879b5bb44fcd6

Observation bcd8d6ae-8c0a-43a6-b326-947a2167cead · inbound

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning cites this paper.

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:18:22.521033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-03T14:11:24.748613Z digest=sha256:23b8515236df39ba076be74ce138dd23cbedeb71ee895112be3c78980a257aa7

Observation 74a66932-9a27-4741-8e65-e78d5a78ad27 · inbound

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem cites this paper.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:30:23.082717Z digest=sha256:4b76b6f2ad0d5436441458b341350e48cc7b02bf4d9f88960319a586c8ab6893

Observation 87d12ed4-e1af-48a9-8b12-6f024ce47435 · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Who's Harry Potter? Approximate Unlearning in LLMs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T10:39:49.185997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:39:49.185997Z digest=sha256:67cd04a01fc70d7d281e43917382794bb3117ce90272fb955fdb78df9d16801c

Observation 066efc56-e8c6-4a4a-8614-7b0594c4c869 · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Who's Harry Potter? Approximate Unlearning in LLMs

Reference 157

Resolution
unresolved
no resolver link, observed 2026-08-02T10:40:01.433208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:40:01.433208Z digest=sha256:5d4aa6a10bcfdd18381c6a14b229241464ecabe1eff9e9013c9d9f4de3761ca9

Observation 56ff1ac6-2299-4509-a424-44471d4f1014 · inbound

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning cites this paper.

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T14:53:52.447720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:53:52.447720Z digest=sha256:a16ebcaa9ece0586644dd65ab9a0864dae5b6cd906729a590e8beab7bda0b817

Observation d1f25f05-704a-4deb-bbdf-2d74ab36da30 · inbound

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification cites this paper.

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:43.493346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:43.493346Z digest=sha256:b9973d32be9646feef759db369307b306075d2e7f1706262946278d183e9d5fd

Observation 7ac17632-07dd-4771-b3b8-d4e9eff3a476 · inbound

Understanding Machine Unlearning Through the Lens of Mode Connectivity cites this paper.

Understanding Machine Unlearning Through the Lens of Mode Connectivity Who's Harry Potter? Approximate Unlearning in LLMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:25.873572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:27:25.873572Z digest=sha256:f42396e0fb52b4f9fe12ac9bd57e9dec6c257b2771996b1f15cc2db3d48897d5

Observation 35e6c157-37b6-4ab3-8266-806b4bcc503b · inbound

Metis: Memory Foundation Model cites this paper.

Metis: Memory Foundation Model Who's Harry Potter? Approximate Unlearning in LLMs

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-30T21:56:17.834759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:56:17.834759Z digest=sha256:8d72e928b48f9f579a14da50046454fb3ca75dbdb3edb739e05e9bba12239409

Observation e283817d-3605-4fda-b707-af585bbf96ac · inbound

Metis: Memory Foundation Model cites this paper.

Metis: Memory Foundation Model Who's Harry Potter? Approximate Unlearning in LLMs

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T04:28:11.241402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:28:11.241402Z digest=sha256:2ae06d0ff78d459ecc2b5ce5e4d9360b18f6d13dddd4e9df3ed326051f3296eb

Observation b499c2a7-8cd3-48bd-9a37-29128534df76 · inbound

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration cites this paper.

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T00:35:49.442437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:35:49.442437Z digest=sha256:6bbc176a44e0b3d006df13dea2aa981dbfe7fc441f68852dabd9771e6a6536ff

Observation 402f4099-6f57-4e93-b08d-76d064c20f88 · inbound

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning cites this paper.

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T21:55:10.827361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:55:10.827361Z digest=sha256:d96cf1aa4d9a8907726ea07ded9594aec9cc78ec144cb2f96b3d202d4a2ef6bf

Observation 78d48a70-6b9f-4d26-88e7-7aff1dddd13c · inbound

Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models cites this paper.

Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T19:44:45.218541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:44:45.218541Z digest=sha256:6d27550f46ae206732e1884aa44d16ddca7b76ad1cb582c9e0acfce824247867

Observation c39feb90-8c4f-45ab-8cd7-73fcf0912036 · inbound

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies cites this paper.

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies Who's Harry Potter? Approximate Unlearning in LLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:46.408366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:54:46.408366Z digest=sha256:aa4f648ee75d6b0d773a18b66e8bc6a23bd880e42b948c35ad7cab23339a1417