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Paper Citation Record · LEDGER

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2504.12681.

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

pith.paper-citation-record.v1
2504.12681 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:11.757305Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:48.617618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:59:04.047606Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eda1376e-8f15-4128-978c-e5865ad67780 · outbound

This paper cites GPT-4 Technical Report.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.651962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.651962Z digest=sha256:546ad33077608452dfffd3626de28e3e66bfe26d1831bc1915f9a0cb6d719799

Observation cf5bf2c4-ddaa-44ec-8ea5-057838779bdc · outbound

This paper cites Large Language Models: A Survey.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Large Language Models: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.655921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.655921Z digest=sha256:4766692ac7b0c52e181587f7373ac19ae5b5a013161a9d44d0acbbf77c7a02cd

Observation 3ac57010-8698-4768-b77c-f628ebf5d9d2 · outbound

This paper cites Large language models: A comprehensive survey on architectures, applications, and challenges,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Large language models: A comprehensive survey on architectures, applications, and challenges,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.067058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.659560Z digest=sha256:2c6c9ef09c4ac5f0701488ca1541db98bda0c7be2d7a3ff8c0377e0b5b2dc216

Observation cfbd2349-1307-41b3-81aa-85e44821477e · outbound

This paper cites Right to be forgotten in the age of machine learning,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Right to be forgotten in the age of machine learning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.058565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.662936Z digest=sha256:2cea4450adbb86360c45c1b691803240db1108354e7d4bf9a8bc134e9e02a77f

Observation 6968543e-f425-4e81-b8e5-395dba967acf · outbound

This paper cites To forget or not? towards practical knowledge unlearning for large language models,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs To forget or not? towards practical knowledge unlearning for large language models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.049638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.666292Z digest=sha256:79b74f70085cf4f6c05e443cf91186d5141eb1f643023d57bfeee7387f044079

Observation 64339bba-c147-4139-8932-ba93389c9bb7 · outbound

This paper cites A Closer Look at Machine Unlearning for Large Language Models.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs A Closer Look at Machine Unlearning for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.669353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.669353Z digest=sha256:4facfbb70f1a8cb0a1426e3a71822419dc17568c1eb31e924c9094ccdbd17b1e

Observation 7d6b65a1-edc6-4a2b-8430-741c9f3ab512 · outbound

This paper cites On Large Language Model Continual Unlearning.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs On Large Language Model Continual Unlearning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.673627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.673627Z digest=sha256:52af9f716c7283c1c042dd747000f2da297c84dd74227a58b408753c9701832c

Observation ede333ff-ee1c-4866-8c67-784918d77e01 · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Knowledge unlearning for mitigating privacy risks in language models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.041186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.677031Z digest=sha256:c18992f120b0cd1769643b97a20da9690faa6aa82ae71614642d1e06afb79227

Observation 9df92bdd-ab84-4daf-85d8-2d6d8bed8a86 · outbound

This paper cites Large language model unlearning,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Large language model unlearning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.032566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.680167Z digest=sha256:a710709ff9577588d30c39203f3e7570175c757eb41f82cc068a3ea5f55ea77f

Observation 2417455c-fdf7-4a93-bac4-91d038d89ccb · outbound

This paper cites Unlearn what you want to forget: Efficient unlearning for LLMs,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Unlearn what you want to forget: Efficient unlearning for LLMs,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.023936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.683080Z digest=sha256:21375670baf65d6df0f107001c4864a45129d76193ff8a0f840020efee612a81

Observation 3e1f70d3-f20d-4ec2-a634-9adc0b5b33ad · outbound

This paper cites Towards safer large language models through machine unlearning,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Towards safer large language models through machine unlearning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.015603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.686325Z digest=sha256:7b4a758252e5edd11252188e04a5533c89d988ee3067b54ed235620720e8bb5d

Observation 058f2690-64e9-4d98-b34d-1d465a638020 · outbound

This paper cites Avoiding Copyright Infringement via Large Language Model Unlearning.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Avoiding Copyright Infringement via Large Language Model Unlearning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.689632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.689632Z digest=sha256:4fa34f870c7af8b088e01e8a7015387e3ea0cbb98665f8ba5c085e1401db4986

Observation 3a16514f-4c0b-4e7c-8996-385f6ec6a0f0 · outbound

This paper cites United states code (usc),.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs United states code (usc),

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:12.006858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.693185Z digest=sha256:8d768075ca8b8725993aa5bfb44a2b550b0ce5289a6720f34d5886408e5e12ec

Observation d04e4554-9ef0-47ca-a350-c2f9433e548c · outbound

This paper cites California consumer privacy act (ccpa),.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs California consumer privacy act (ccpa),

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.998114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.696385Z digest=sha256:4ffbf124b0e0e5bf75892e3519ac30d2e068517c142b4dbcc75a80f8e145368d

Observation 66434ec0-0ace-4278-8c1d-1733bd70f546 · outbound

This paper cites an unresolved cited work.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:31:11.989455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.699766Z digest=sha256:b4b87ae3220ee310f4249e0ace7f4f33c5d60bdfb895c55038f4c9f42e3b65fe

Observation b4aa5997-6c7c-4b54-8b4e-b97083dc4d82 · outbound

This paper cites Abstract representations of associated emotions in the human brain,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Abstract representations of associated emotions in the human brain,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.979821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.702905Z digest=sha256:f96303392e2bd452ce3616f09758e7cddec4da8af69ee9f7d382ae9ca2f61a5c

Observation 02313584-ebc1-4bf0-815b-e69bae0031f8 · outbound

This paper cites Transformer feed-forward layers are key-value memories,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Transformer feed-forward layers are key-value memories,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.971657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.706031Z digest=sha256:72f583e52f518c0da7ac2a45e10f1e80f00e2105319abe0e81196ab88d35aba0

Observation 8db0cc97-ee25-409d-a57e-3f7dbea78868 · outbound

This paper cites Locating and editing factual associations in gpt,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Locating and editing factual associations in gpt,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.962790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.709197Z digest=sha256:4a895ba0e8ac725cf0c509ad8796d9c90e716be0f67f9ab4b1847b917c7a910d

Observation 55e6082a-88b9-48f7-aae4-938e38d607c3 · outbound

This paper cites Mass-editing memory in a transformer,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Mass-editing memory in a transformer,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.953959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.712388Z digest=sha256:33e251adf75dc82ec6b623ae01fc8a61fb9c34ad3676c34f7826bf7d72396e8d

Observation fab14644-9306-45d5-8c4b-94f666327616 · outbound

This paper cites Ma- chine unlearning of pre-trained large language models,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Ma- chine unlearning of pre-trained large language models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.945415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.715651Z digest=sha256:54ce61827b8d9154b91fa69bb91a350150ec2362fc273c9112b91b6f9063c32a

Observation 04d3a176-353e-42bd-8eeb-81df3194624e · outbound

This paper cites Negative preference optimization: From catastrophic collapse to effective unlearning,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Negative preference optimization: From catastrophic collapse to effective unlearning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.936873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.718887Z digest=sha256:deab2ec6e932aaf7f7c1d46770f6cb4de10b03f8797646c63f7ca21ef16158f3

Observation bd0cea6f-11af-4d5b-a389-56dd5ba59a6e · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Eternal sunshine of the spotless net: Selective forgetting in deep networks,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.928240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.722103Z digest=sha256:0738a37c69cfeafbe4c72e1aecced2435c4979921cb7632aaf4747755200ce91

Observation f4431aee-d7cd-4e98-8ad8-8e337bf43f88 · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Knowledge unlearning for mitigating privacy risks in language models,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.919280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.725366Z digest=sha256:9e7469a3bd290b6cc7b570d61fbf85644f4e2756b04ff49537ea028c28e00bbd

Observation 64a3762c-4df2-41e9-9cd6-80585732ae5f · outbound

This paper cites TOFU: A task of fictitious unlearning for LLMs,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs TOFU: A task of fictitious unlearning for LLMs,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.910202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.728572Z digest=sha256:268d59e0cbb37e51f25c64932d237ecef80c998aa47c56921b7e2acd85ccca59

Observation 0be2b311-3b05-4de0-a547-a1d6a8ea10bc · outbound

This paper cites Unlearning bias in language models by partitioning gradients,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Unlearning bias in language models by partitioning gradients,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.901192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.731903Z digest=sha256:7b14e20c3ef28a4ed39fc8870cb3ba81019a4a1f1d1c30945e5ca5a5a3cf9dcf

Observation 2bc80d0d-6d21-4334-b60a-749744f3f715 · outbound

This paper cites Machine Unlearning in Large Language Models.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Machine Unlearning in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.735012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.735012Z digest=sha256:2a8ca6bba951c223d7c2508d2b7289d2ef28db0b9cce7ac22e49f8c830bd3af1

Observation fe3ae82f-d614-4aaa-bd57-55ef170ad36a · outbound

This paper cites Motion influence map for unusual human activity detection and localization in crowded scenes,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Motion influence map for unusual human activity detection and localization in crowded scenes,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.891159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.738332Z digest=sha256:3b1d88280f2d300d22df78b327ff70da2ed47382d734a49ae4224a3b151f19e2

Observation c5cc9756-2fca-49da-88c2-6f101c0080e4 · outbound

This paper cites Deep reinforcement learning in continuous action spaces: a case study in the game of simulated curling,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Deep reinforcement learning in continuous action spaces: a case study in the game of simulated curling,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.881265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.741632Z digest=sha256:28c5252c7a61c2c5db5800022d1acce77083f5c881613313fd9109bb56dd5403

Observation 957823fc-641c-40bb-99c1-1e2d1fa9ecce · outbound

This paper cites Continuous eeg decoding of pilots’ mental states using multiple feature block-based convolutional neural network,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Continuous eeg decoding of pilots’ mental states using multiple feature block-based convolutional neural network,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.871178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.744578Z digest=sha256:628770d57e1385f667237c7784cab7f1308c0d25d089d7519398e2cf90a7b017

Observation 820d5f31-ec3f-42aa-bfb7-b0e621b9e313 · outbound

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

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.747570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.747570Z digest=sha256:9cdbd4bd7851bd86d1a4dde96cf41cb1ebc18e071b7c96624436d7cb028938c5

Observation 89de9b06-e93b-437d-a1ab-922f95a539c0 · outbound

This paper cites Qwen2 Technical Report.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Qwen2 Technical Report

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T12:31:11.750736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:11.750736Z digest=sha256:8cb31eb175a1edb5ff29f6a2235e8d84f4abcdb874fbd1eeb059d0ba49f9799d

Observation eff953e2-2897-4c18-89d6-086ca4c3f91f · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs LoRA: Low-rank adaptation of large language models,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.861544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.754228Z digest=sha256:1d5e936cfc523801e2b078f94b5f63f6b81f1bf4958df710ceb3e81172128411

Observation 14be5b13-bc26-410f-848d-648ee0001898 · outbound

This paper cites Fast model editing at scale,.

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Fast model editing at scale,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:31:11.851242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:31:11.757305Z digest=sha256:0957a28327e92ffe7b0026bf9074be739c7d68d8e709fbde1256a9b637ef8983

Pith citing papers

Observation 6580580b-ca44-477e-a9d7-ac923c97bf54 · inbound

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

SoK: Machine Unlearning for Large Language Models GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:59:04.124403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:58:48.617618Z digest=sha256:91773dd372817110dc472627e395c57f80687998165006b398fadbf59185fd90