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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:48419d88838a636f9fb28d1c9f5320e309f6c301fcab39f7a3f11c1df54de5d4

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:c78abe3b4decf2b65d6eff4fc4af71c53698534f2d1f5b36a2ee9371deb5661b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.659560Z digest=sha256:35cc0e1ada1e83c5edf479585e7725a16802933b94adeef5a9c46627338acfc8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.662936Z digest=sha256:7af7bf14cf4e32ae7e9f257bec1591625da20f020da49aaa05122e050233659b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.666292Z digest=sha256:829d311becba3cf5ad8c73d1ae03923de86cb6927a285a8cd0ec75f4e9a2a25a

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=sha256:2bb0b4f5d1e174bcaf4b978c3c141a7c65ffdd8e11a7ab6f876e184d60b39f60

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=sha256:91c5b4ef9e342a55318f27c823d5d3afea1a2ddb136314a727b989bdbcc68ddf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.677031Z digest=sha256:a5e76f13d25d0e7f31c188e8acf39d7cb8062e6915fcc3c15c3b781ac24d266b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.680167Z digest=sha256:4e99970bd81aca1b9a465eb633c83781cdea6ee95aaf1be633dcac1a10d8596d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.683080Z digest=sha256:093042a8f3ace0a851cee3b19feedba15d994884ef8776a456a31faab298ac3e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.686325Z digest=sha256:884e71a5fd529ab08eb5122a05dc6bd25522740fae057cb19efbfd3b9e65dc3f

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

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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=sha256:5f37c5e980c6b3f1c21cc4a5d3ed0ef5f217afe2a34b9b2e2663f69b73c628bc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.693185Z digest=sha256:1e134932b4cd487ebe06407e29b451e6c673e89727e7f10284874b6b56baa069

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.696385Z digest=sha256:7aa9cefbab08449f8fa29d1e457882c21855e6e7e5a5f0748a58ef567fe8ee55

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.699766Z digest=sha256:296e0cc127847b897e22e7216dcfe6b147f6aaea35634ca3e7b15546dffb42e6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.702905Z digest=sha256:941aa5db3895bc59341bcbb92e4d2765b08ca51ddb2259e5479b7d1db46649fd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.706031Z digest=sha256:4c426fbaefe433cb6a7ee01e122c867532e1b0a4589a66872d0e40a509391329

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.709197Z digest=sha256:be30627e7944f3f1da89feef642f77fde08202ae3a628d48e5d96f057b5ff58c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.712388Z digest=sha256:b215d2f719d30dbfdbc0d888109fdbee2ecbf1c23d6cf15839782289bb356387

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.715651Z digest=sha256:941b2d7d1e9d7d5b85f4553c9a388e4c58b8852f65e4d0390a82b331592c2161

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.718887Z digest=sha256:ccb2c466ab6c73acb5524d802862312b25d6959d0616bfb3559d69a53151a51b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.722103Z digest=sha256:f54619234ec298d17c906be55c6a1280f1cb5cfb302dd8cfe72e73586acf960f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.725366Z digest=sha256:f034e834cc6e155288fc5f62e834eb9f697d46dea49bc2aa446c2ea2e563060f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.728572Z digest=sha256:5fb4a6a1b6b351b97d32b96fd64c674de9595bd7a66c9902edadbbef99af542e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.731903Z digest=sha256:606658c8c9ce4c41b2af2b71d7662ab36d713cdceb6b83bb98a65fe55531ae62

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:c07764376d2932a34abbdbab27e140a9099493c2ae11f309804eecbf1dd155b5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.738332Z digest=sha256:4dc3228d698664a8a885f8c6f8bd54179b1f085d23fe2ef5daae206292ae8f4e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.741632Z digest=sha256:8c387beb995e7e447467a295c423839f3c8e8cf1dc8b7544ad65c2e535beaaa3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.744578Z digest=sha256:3a6cc081fd939ce3163191b9bcdc7e9d22662d086d4c82558507fd6010492e5c

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=sha256:84a3578ecb5a63b3507b4b5e9e8ac956864440e1d7c1fec1c0260e7b8d3b8326

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=sha256:7994d86bf663748725433e45c3eff508c646607ea01299619d381c6f00f67692

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.754228Z digest=sha256:b6577cd26504691b264c04f7779f9aa9aead4e0c36cc9e446fae3ece77c02998

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T12:31:11.757305Z digest=sha256:30c270cd8840a81617681834b961f5442127eae82e0410053bff8da27f4302ab

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:58:48.617618Z digest=sha256:893893e91948e148cab45193e4df5d26250b1ce5bc55345e1d861dd19e56ca07