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Paper Citation Record · LEDGER

Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.03941.

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

pith.paper-citation-record.v1
2307.03941 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:21:36.136956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.024835Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b9bd183-23a2-4c32-a4d1-59133ba22762 · inbound

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

TOFU: A Task of Fictitious Unlearning for LLMs Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:07:39.331830Z

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=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:8e5e8bca4037aec316dbf4cf7ffe610f209c2c86196aab02d64315de58410dba

Observation f9b69763-7639-4dad-b958-4eb3b41a08d7 · inbound

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models cites this paper.

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T12:36:36.971538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:36:36.971538Z digest=sha256:28008f3b68a0b2de1a655feab3ecf1395748f1aa2d3ef64adddebe598b181005

Observation a3b94879-b409-470f-a121-c215c126746f · inbound

Learning to Forget using Hypernetworks cites this paper.

Learning to Forget using Hypernetworks Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T05:05:52.390506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:05:52.390506Z digest=sha256:d18c98ecbd78cb19e9d07145c220a4a9a8953ee51dee3c14c471da34d3d4731c

Observation 1b2f012f-fb7d-480e-82f8-2e5b536fc28c · inbound

WithdrarXiv: A Large-Scale Dataset for Retraction Study cites this paper.

WithdrarXiv: A Large-Scale Dataset for Retraction Study Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T22:10:34.479534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:34.479534Z digest=sha256:a309da8e7d1dae45902260024e9af0a3ab54fda74a00da78aa87b5af3eb5fb1a

Observation aabfbe7a-fbd8-4633-ae0b-257a506da61f · inbound

SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation cites this paper.

SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T12:21:36.136956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:21:36.136956Z digest=sha256:809da4781c01fde249240b8c51a8f47856ef49837a99558b7ef2a42b33707f0f

Observation 1dc746a0-1e94-471d-9940-93af158c38f1 · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:33.728813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:33.728813Z digest=sha256:75b539e53f540810fd667f43931b508efb0dad913627df6e7e390b6da76e591f

Observation 5fa4dbf8-8fdb-4206-ba06-2dbd87add2a7 · inbound

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface cites this paper.

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:54.291600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:35:54.291600Z digest=sha256:513627669a5fd03c3ff98ec962e98f641f89b98f7bc533a8cc22611543765f55

Observation 5f6dbf13-69d5-4b40-9a5f-30fa0849ef8f · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:20.680190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:20.680190Z digest=sha256:fec0073d1e564c860c4bab776c98ad5a4e1e43e9492120661de4f2445d2b26b5

Observation cdd20980-fec3-4ebc-aa54-e52fd9bf09b4 · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T18:28:32.926699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:28:32.926699Z digest=sha256:1353dda979934d90004d382816b4f4dee64bdebd2155e139bc5e8cc932565f0f

Observation 50282667-e550-4eba-b178-18e934cd872b · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.225685Z

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=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:4ac0281b28e7dd63b7f3ef993b97f5d6b2f67f18d0785ca99e8e69cb8fd3047b

Observation 096b149a-93bb-4d7c-af6d-8658a73761b3 · inbound

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations cites this paper.

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.777340Z

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=arxiv_source observed=2026-06-27T04:02:58.743426Z digest=sha256:b3f990c0135d65b05cb096860137b7ce879a94fea06626d5a1b31b4851b2e420

Observation 395f57b4-8fe7-42ec-a667-1643200fe6b5 · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:53.027626Z

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=2026-06-26T04:29:16.386339Z digest=sha256:c8e3d6cd6b573e614bbf86cf00a4cadcc80999f3ccd3cfa9706eca2d599de28c