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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.659560Z digest=sha256:087bc9f01b3055e0f667b9da7ef86b5a6ece3fa78c53481079f6ef1a38d85fff

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.662936Z digest=sha256:fc472257abd9bfb3007e76b25a7f18abfff7101c9f02e2cab8369d8c0ca6699e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.666292Z digest=sha256:09dc04f4b7f4b4b4b9566d488d0fe4b9ca383d134ceb98f92de86de1425fb195

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.677031Z digest=sha256:90d85ba32b8dde16ddcaaed597c9dc752ed7fa508616e38a76eb705be9ecf314

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.680167Z digest=sha256:cb9964cc402befa95adeab2495ce23390230d2d7aadd22a50d3bbc96bf65c2e0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.683080Z digest=sha256:ea9555a49deb52cbf8a723f04bd0ebe0e6b95f7fdae5b6e1d241bd1fc376dde4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.686325Z digest=sha256:9520cf026ff439dc3872f065e85cdeda0638f1a3511e75e07a33907425c23405

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.693185Z digest=sha256:89620bbddc1b608440ab2471259e854fcf978b5d6b5d9595e49ebc93570c896e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.696385Z digest=sha256:f32ab6549e692b9e3dfc91f0ece82eece11765e705c97a1b56ff195415d9235e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.699766Z digest=sha256:795fa9fb98cbd721d14ab626fb5e71e5f61bb5fc3d6e35afd908e49347e57180

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.702905Z digest=sha256:794f2638e76627917785709eb9a3c9039bb308d74a1bbb0f8d9182b41d9262cf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.706031Z digest=sha256:949245576a4b2b2e40c795beea821cfd77209f483e53cc759570d56ac6f0ecee

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.709197Z digest=sha256:0ee7c76e249491276af9e54f59918d527635de2b0407dba40fd96c25a0180fc6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.712388Z digest=sha256:701f073cce01d3e15b096910bc53ce1b9731af847d0bf6802658238295010318

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.715651Z digest=sha256:79a25eca88e88a0b4b40305df17ad1f4f01d4f353eea1c8157eb3c48ecf5bf4f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.718887Z digest=sha256:cc32607a17f85273980edc3acbdbeb5c4679427131fa830ef0b1dab18fb29ae2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.722103Z digest=sha256:ced40513ba52075c8c4a73e16beba6d32c49a3be418093afac164247e8f3dc47

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.725366Z digest=sha256:2a1bb3859a6e9f0e2206957179b41fc77b6d797b3b6a1649215e971edfe26aeb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.728572Z digest=sha256:8389828010862fd501647b14afc048cda61f0dc0d7295731c366175570cc0b17

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.731903Z digest=sha256:751cdc0d1a2632507eb9cd3e6e32dfdcb3c0ea6ac29bc4551ca6005b4c88f35f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.738332Z digest=sha256:2f3b3fd8fd3d93b8115e6d5b64a86b1deb0b58f6d8298b198822eef03c002e96

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.741632Z digest=sha256:c485cedb859cfeefc93ada9db4d1aa3fae4b18ab4bbc562018cce7c13ba90a84

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.744578Z digest=sha256:79a08d0950609270ceb769e4c172923dd11f3d24e0dae70f6e6cf2e931ce7e4c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.754228Z digest=sha256:ea957f5b3f5b4fcd63c8dc278a7790c3ce9da2b5ce43007f7c0beec548df7bd8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:31:11.757305Z digest=sha256:141e397aeb72534817af3278a1680e64ac80378235bf646589638ace535b004c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:58:48.617618Z digest=sha256:c6ff3276b9c6714f1d5afc00c231d503afe74ec11797585534a7cf89b7bfa26b