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Paper Citation Record · LEDGER

Who's Harry Potter? Approximate Unlearning in LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 76 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 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 76 of 76 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:04:49.989615Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T18:07:24.533329Z digest=sha256:a960280dbf620dbb708f1fe73accae3ab073edec2584fd40ef08623b9876b337

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:f38a6b829cf073b015e39239f63b663eef2c41761456af096e28e2a67b52c6ad

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T22:26:55.008143Z digest=sha256:18adcb8ede0bc0617bc726d1fa9aeab4ff67d0d1b75d21691e44887c77eafde3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:cc78dd818c58651006696c93a6d8c598fcc9c1612da10c1fa16a9a2e2790dd3b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:41:47.910423Z digest=sha256:8b7234c695631f024b20fca44dcee6ef75192d74938d70c78dcd00f20440b5ba

Observation fb8af10f-97a8-49c9-81e2-5892aa7d8e30 · inbound

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating cites this paper.

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating Who's Harry Potter? Approximate Unlearning in LLMs

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:04:49.989615Z digest=sha256:99aa445a82a1c7d6c41eb5f3d2839c067d3237e82a3258d03922160c8f21531e

Observation d4da03d3-2819-4841-8be7-58c05f293e89 · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 9

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no resolver link, observed 2026-08-09T19:14:53.259874Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:14:53.259874Z digest=sha256:c3dbc903195deec37872681d25d1575b8b2f5321474778e37dd4a0481a4378af

Observation 7b2f1e2e-7802-40da-ba21-c122e58bf5c1 · inbound

Position: Adversarial ML for LLMs Is Not Making Any Progress cites this paper.

Position: Adversarial ML for LLMs Is Not Making Any Progress Who's Harry Potter? Approximate Unlearning in LLMs

Reference 19

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source=pdf_text observed=2026-08-09T12:47:21.658282Z digest=sha256:b2f998228b83f4004b81a6cfedbf6ff5fc24f052f2a7145e1c0aa1b040eaf7ae

Observation e8c35643-e71d-4213-8334-eb6811ec4146 · inbound

Code Simulation as a Proxy for High-order Tasks in Large Language Models cites this paper.

Code Simulation as a Proxy for High-order Tasks in Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 9

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source=arxiv_source observed=2026-08-09T04:32:42.198520Z digest=sha256:ca9bfc7b9b50da4823580baab7825921fe3321ed533c0e1e161ab4d79b8777cd

Observation eb44ab29-1486-44c8-b049-ea1d1b5aed00 · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM Who's Harry Potter? Approximate Unlearning in LLMs

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:08:57.341933Z digest=sha256:740b4dde1d1ab63c5bb8eed011d42e7bd1bb47dc03502f6f51a3d6475b399abf

Observation 1b418230-7637-46a3-8264-eefe9bda0124 · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge Who's Harry Potter? Approximate Unlearning in LLMs

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.041584Z digest=sha256:ba15948d74458ea65f8eefb308dfe5b82f46f461649e99239aeee6a3b707e7c6

Observation 359706bb-e0d8-4104-90dd-4ab92dd09261 · inbound

Existing Large Language Model Unlearning Evaluations Are Inconclusive cites this paper.

Existing Large Language Model Unlearning Evaluations Are Inconclusive Who's Harry Potter? Approximate Unlearning in LLMs

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:54.154286Z digest=sha256:45c59ed649bf1de33c9c8bb9cba07f5ea353fc6bbedc0471a5b4758c2957ff83

Observation 7b1f6e7d-8644-4b44-8abc-634f46722183 · inbound

Targeted Forgetting of Image Subgroups in CLIP Models cites this paper.

Targeted Forgetting of Image Subgroups in CLIP Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:29.619462Z digest=sha256:705b913ccbbe0f066354a8f29959b3116c223eaa2d9bcb3ed7374688d86fc3e8

Observation bfa38018-9df5-4b21-973f-22a7c793d74b · inbound

Certified Unlearning for Neural Networks cites this paper.

Certified Unlearning for Neural Networks Who's Harry Potter? Approximate Unlearning in LLMs

Reference 15

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no resolver link, observed 2026-08-07T06:00:39.550593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:00:39.550593Z digest=sha256:4fbdb7ec136baaa9b02e95e35a8d3775560c18bb512c71de7fe41584359feb2a

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:33.480384Z digest=sha256:717b14ec4b5510d045c83005d86c18ebaf7d2f37faeb84e04f79de80307d3966

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:50.652465Z digest=sha256:d91af21efdf4da4b294cbd43301bb11f1d1310089af9db5667838ccdcf5c5920

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:f08c88da7f8e20c96cfb0d39fb69b47244e4251a5fd6914a10ee6b836499128b

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

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source=pdf_text observed=2026-08-07T04:16:59.023293Z digest=sha256:e68af62558dccf9cd09e93317670444d273bfa302920ae6df4cb951c364bebe8

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

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source=pdf_text observed=2026-08-07T00:46:10.029882Z digest=sha256:73b9c215443c2b36ef9601b35175e7121eb340e2b745e166eb9f159f2e0779ae

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:53:46.902359Z digest=sha256:9b72c9db216bd0787411e86f641300c362cfe7fed5bd0dee2484c20f9e22d591

Observation d34981c5-ff54-4594-bb03-e46b56fb9b1b · inbound

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap cites this paper.

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap Who's Harry Potter? Approximate Unlearning in LLMs

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:32.595672Z digest=sha256:cee2f1e280a3eb684eea3dfe5050744425eb04570177ee8f7af93e648d656f48

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T08:12:19.391973Z digest=sha256:2c65c4cc610c46761e6c6e1af21612501bb7593702736ebd34d82e647afa6dde

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:51.137003Z digest=sha256:7c4fc77e126804a6ffcfaa9843ba5cafac8072e2fbdb93678a3bd02af8e6c883

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

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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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source=arxiv_source observed=2026-08-06T15:22:15.992489Z digest=sha256:61dfd8b98d9dc3306118e534e54f3049e58f9235720883b0503424b8f13ffb71

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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source=pdf_text observed=2026-08-06T13:54:39.587728Z digest=sha256:9d9b990fd728366273b80bf08cb62af5739f5ed48604238bf19502d7a9b1f112

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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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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source=pdf_text observed=2026-08-05T17:06:08.904149Z digest=sha256:9fc989e1e737dbfe9235708efd814610fafefee827fb4746bd49527c23e92e0b

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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source=pdf_text observed=2026-08-04T17:46:17.162498Z digest=sha256:995261eae2d17134e595471efb8b75d08c30a1f2f79ef9838cf5bce9b2c2bb5c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T13:05:50.233483Z digest=sha256:dee9f981111eac0ee270c14cf6adc739c1192c3576b5de118db27d927968ae7a

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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verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T01:28:29.056145Z digest=sha256:9b41e7e52a35c1d2e1147ae323b7030da8f024120fb94ce47648a2d902b417ad

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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source=pdf_text observed=2026-08-03T18:41:34.006399Z digest=sha256:7d5b7d3965ca364f8f12182cb1177edd04cb92dc59760e1e227a3b0478714234

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

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source=arxiv_source observed=2026-08-03T10:37:00.366212Z digest=sha256:e1572803296964dec6c198f40aa747d5d2cb52a0017d28e6a32278bdf7c9a67d

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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source=pdf_text observed=2026-08-03T01:20:06.622090Z digest=sha256:f9bcd4d0189141ae57889bba3782222320fdb15ce100162c020642dea9eb4512

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T08:48:12.941821Z digest=sha256:b02e248d0628aaf15bf87ee4cc26af3ddff0378a5069f7f8feec6d61b2151622

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:12:31.088843Z digest=sha256:f417face0d6102799a1992cd82aceb826a6abdee927749829099959610c6666a

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T01:56:27.674057Z digest=sha256:4e0b11eeecafbc165109cb35cb4d072baa7cd8380fdb883cecfea5b20544d368

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T22:26:34.487400Z digest=sha256:62331f4de24d0981d53b9cf29d34b0ba901dac954f632f8e335840f7755403b4

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T19:39:15.279115Z digest=sha256:662a34e884bfdd62a94bb53bc5d724d771bf24ed2c457f201886a4b324f04cae

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:9be4fce2587ccb309cb8b9dc4e1ed9898bfe4637e347c79ada98b5b55578d846

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:8a4b9a520f34b32962a38fdc4de9f45a1d2e7581edf951524c5165e6c28e8de0

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T19:24:04.945551Z digest=sha256:81b23a237d0a6f04acd0f73227fafb38b534f9d6ed0a0163115395c55d334d86

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:49:53.432959Z digest=sha256:54b573b8b55a33b02e8989800c58f9e63742a8967b17195a9b9531b187e42011

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:49:51.021741Z digest=sha256:a0ff3f88aff3a90a882f835f05ee62f58fc1ca72206aafd0f092606e8e9208fd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T01:43:22.777232Z digest=sha256:1d26e46c0fb52b27dd2ea4cafa51c7f7dbcfdfb791ebe3eb146a073862b54360

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T16:26:01.465527Z digest=sha256:fb94beb56254b939bc9f0eeee898f82633559b005c961f8ae9dbfe6bb72c82b8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T08:06:07.708392Z digest=sha256:ad59e2fc3adb699697395b70148e28308d92555dff0d66087f2543d13a9769b9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T19:30:17.256728Z digest=sha256:3cf0333c6caf74049e85a8019389b05bc934d94e6a79746c5ac01e124d8997cc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:10:50.885027Z digest=sha256:0171b1b4796a93c25d5f8e96cb95c982cd8171a2e98d0ca717a90a6bb161c13e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T04:45:29.248815Z digest=sha256:6082aadbd7c8a04062e6b176d6643a61ce2dd7a982143af709e171cb63e36c9b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T17:20:16.735285Z digest=sha256:dc763c164f4e126ee3b4b77a6aecb6197d94c333f9d60d7736ffc455841d7fdb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T18:55:36.515230Z digest=sha256:03ce9f64a503ac037d1532e685a1ad4693f86d09cb3648e2b702f407760e42ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T15:26:20.002840Z digest=sha256:e4ad05b09a9836285fda961d7f7c33c20c567697ee4bcf0c270177f69a8cbfec

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:7f157af7e273ba0ed741472eb9a83d1b1765b4bd97bf1f37e208577ccdaf5fc2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T15:19:32.238094Z digest=sha256:b1409a2aaa56cf30c089b28072dc6a51146a3fcc67d95f819f7c81113c28fe52

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T15:21:26.391287Z digest=sha256:aa44068f7f78342709668c63054e5d30f850f626237b4f026d977896be9a9a6b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:46:55.628430Z digest=sha256:5ca5bde3da87adb2f868c0294ff193d0cb492fbb72a2d929adcbc4f838dd0b1e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:18:43.046828Z digest=sha256:6b3a04e931ab6d0e2a884c4e8409df45157b58b0a0990a0d203bd2120bd51e51

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T21:04:06.408281Z digest=sha256:9f1d5d91f594236d9a0725397d8b53cca005f27c3eea9eafb08eabf2979efb5f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T13:34:45.827277Z digest=sha256:bba05b9cf425e35982904942059bd641dbf64a959b4a344c9d255c5167f508c5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T07:42:45.896118Z digest=sha256:4394f3c2c6914746d79ce3b13555992eebc18ae635e0147eac4bee25c06feddb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T06:44:00.690600Z digest=sha256:cd5aa754756766d4c236987fc25ca2c32360990f5da3687e522c8f017b48b746

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T14:11:24.748613Z digest=sha256:f0b05dd14e769bbd241cdbcce1ee65c5bc59b54ddb7c5acfc2cb8e276fce3ab0

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=sha256:24ee379164ba6e6763c2dba87e659cebfda180bd6a8edc6c0e955a0790cf0acc

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=sha256:7d574f91a2ea2e03576ba04ccbd0c809cf32a3176f4e3fa48806f3b21d95423c

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=sha256:97f519b4f67e3cffe77b8352bc314a7d58d0515d1ccd35bc195e1e773e5741cb

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:f931da786d1a3b204c6366812e2b533eb6775a6321c82176f5568e8932906275

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=sha256:89b6536d12c6db237d3bf5b2cc0caedc42780aff14da33225b78bbb7d7d40cc2

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=sha256:60d0017da9eb21b9c1d103baa38757c464026e30e10da65c13538442c0cd36c9

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:d39734241aec1d964a08312e984d1996dc8609e11059ffd915627e4f55b33846

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

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

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source=pdf_text observed=2026-08-01T00:35:49.442437Z digest=sha256:9284414ad10e4dd1196b4f9e4c941276afcd28a3f0405c42075caae83d0d6e63

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:55:10.827361Z digest=sha256:335bca56fa4b99cacfdfbcd0028d9e54f4edac53ac3bfbaf103d09e6ecc47b76

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

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

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source=arxiv_source observed=2026-08-04T19:44:45.218541Z digest=sha256:bc4f6a7686b5b0a6f34f42b4fbdc8bb3a74f58bdb5df1867d3e164022b1840ed

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

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

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source=arxiv_source observed=2026-08-06T18:54:46.408366Z digest=sha256:f777d09dec8cf14e72126810f4aaf2be606171a856db4052fde6ab8d5980748d