Paper Citation Record · LEDGER

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03092.

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

pith.paper-citation-record.v1
2408.03092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:16.528692Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T15:20:17.454827Z

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 f340d9f9-597f-4979-b8b4-9be7511c76d2 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 279

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:04.860185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 193c8f26-43a8-4230-acd9-da756a51a7f7 · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:16.528692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c85cb7df-79a2-4b82-8e41-a6a3749313a2 · inbound

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging cites this paper.

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:52.270177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0b6178-6389-4cf0-94b9-2ba1f0960b21 · inbound

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging cites this paper.

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:38.395423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79bce505-10c4-46a9-b9e0-6eab12e8acb0 · inbound

"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework cites this paper.

"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:20:17.457513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de4abe0e-c6fc-4ed8-a58b-0fe41803d2a8 · inbound

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs cites this paper.

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.466724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.