Paper Citation Record · LEDGER

Exact Unlearning of Finetuning Data via Model Merging at Scale

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.04626.

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

pith.paper-citation-record.v1
2504.04626 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:58.284069Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9673b30e-a99a-4cab-8d26-da882728e212 · inbound

Improving LLM Unlearning Robustness via Random Perturbations cites this paper.

Improving LLM Unlearning Robustness via Random Perturbations Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.312642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6a6a86e-338a-4a1e-a5a8-26bb1cc6c37f · inbound

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? cites this paper.

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:58.284069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb0c48a-8707-4f56-ba71-25fb7b7943a0 · inbound

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

SoK: Machine Unlearning for Large Language Models Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:49.775435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e176983-d68d-49af-9236-f19fa08698fe · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:16.116107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a00788-6d64-493c-acaf-5a07f8487868 · inbound

DivMerge: A divergence-based model merging method for multi-tasking cites this paper.

DivMerge: A divergence-based model merging method for multi-tasking Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T11:59:10.160553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f0c1a5-256b-4695-bb32-41c847205af1 · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:21.836108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9987d25-de96-4613-87da-380b84f84be2 · inbound

FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters cites this paper.

FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:57.295916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.