Paper Citation Record · LEDGER

GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.09117.

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

pith.paper-citation-record.v1
2503.09117 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:25:54.070559Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:46:08.391201Z

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 63c26bd7-b753-472c-9d5e-127cab59d723 · inbound

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning cites this paper.

Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:46:08.399419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d322fae-e92d-4e3f-9636-6525a94cb6c5 · inbound

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning cites this paper.

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T04:58:48.985125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92fec51-14c6-43fa-885e-0c2ade868004 · inbound

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning cites this paper.

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:56:09.015924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239f1267-b5d6-498e-ba70-d25c90f28c06 · inbound

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning cites this paper.

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:25:54.070559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.