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Paper Citation Record · LEDGER

What Matters for Model Merging at Scale?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.03617.

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

pith.paper-citation-record.v1
2410.03617 v1

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 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:39.743785Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:09.416126Z

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 ccf5ecc1-f8e2-4a86-9e61-92e6e7b93ec7 · 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 What Matters for Model Merging at Scale?

Reference 264

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.798902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:e4514ed6b1404da0a5452336705f79eb1b5e4013ac832fe4d8eea5049477b083

Observation 999710fb-ac4a-43c4-809a-3567aaa182c8 · inbound

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants What Matters for Model Merging at Scale?

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:39.743785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:39.743785Z digest=sha256:755e8fd210ded7294fad6cbb08a189fe06b6169fcc8222ab6251adac796f57a7

Observation 2fa57d73-72ca-406a-b633-d38e7d24b9b8 · inbound

Robust fine-tuning of speech recognition models via model merging: application to disordered speech cites this paper.

Robust fine-tuning of speech recognition models via model merging: application to disordered speech What Matters for Model Merging at Scale?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:39.345675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:39.345675Z digest=sha256:86817214eb230adc901568e9a180c99dce61da897316c1c0baa10cf9140ebe56

Observation d75f9e00-ade1-4bfa-87a9-8e15c2c7303c · inbound

Why Do More Experts Fail? A Theoretical Analysis of Model Merging cites this paper.

Why Do More Experts Fail? A Theoretical Analysis of Model Merging What Matters for Model Merging at Scale?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:36.048280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:36.048280Z digest=sha256:d919acb86353264efa10abe93d00f3dca49fb6ea0fb6a0e200f221e0e0043a93

Observation 50f6427a-6a53-420d-a4f3-e1483cba258f · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts What Matters for Model Merging at Scale?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:07:37.304965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:07:37.304965Z digest=sha256:e1bdb26a700e62e9a6918ca37c7e6e2a72014d414a7993daa3dfe41e5849a7bc

Observation 5e4c32a8-7be0-442c-bad9-8e7f3a4f5f31 · inbound

Model Merging Scaling Laws in Large Language Models cites this paper.

Model Merging Scaling Laws in Large Language Models What Matters for Model Merging at Scale?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:32:37.698609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T13:32:33.009367Z digest=sha256:78fdedd701fb3c23b988e64f0da932a65d90345cbb72063a6ac7008b85b77b4a

Observation 87dcf8d5-dd5b-411e-a807-fbbc865b07b5 · inbound

How does the optimizer implicitly bias the model merging loss landscape? cites this paper.

How does the optimizer implicitly bias the model merging loss landscape? What Matters for Model Merging at Scale?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:51:13.439804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T09:49:41.550981Z digest=sha256:fc99b2a8f881a8ad307cbfa0403cd36a982a436da1b41ac5a10118df6024a56c

Observation fc6a9319-a13e-4d4c-8531-5e16e5c70fa2 · inbound

Routing-Based Continual Learning for Multimodal Large Language Models cites this paper.

Routing-Based Continual Learning for Multimodal Large Language Models What Matters for Model Merging at Scale?

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:55:35.330976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T00:52:36.700027Z digest=sha256:e13dffadac8d75c5bfda1b19a8ebfe034b6aa020f4de13f6c5fc7270c879ad9e

Observation 466fe225-29e5-4694-95fd-1abec09a814f · inbound

CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models cites this paper.

CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models What Matters for Model Merging at Scale?

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:27.174795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:07:52.566360Z digest=sha256:a4f7cbb851942e4edf3ffb68456f35989ecaa1e03c386038c07c675cef03462f

Observation cf69f044-6114-4f7c-91a4-a6332a327cbe · inbound

Closed-Form Spectral Regularization for Multi-Task Model Merging cites this paper.

Closed-Form Spectral Regularization for Multi-Task Model Merging What Matters for Model Merging at Scale?

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:09.417586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:40:00.510742Z digest=sha256:bbb7b340542f97c6513f35885865f2e98b9cf7015548bc28878b26a2862cfd42

Observation 3fa8134f-fa31-4c93-a0ed-10cfad38c2a9 · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective What Matters for Model Merging at Scale?

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T16:24:21.762226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:24:21.762226Z digest=sha256:d2988edfaf9d112c02c8762a4a7c0fb555443f235dc24eb9cc1270fdcdee2bdc

Observation 7f1d5559-9eeb-468a-a5b6-8d723c374db0 · inbound

A Model Merging Approach for Continual MLLM Unlearning cites this paper.

A Model Merging Approach for Continual MLLM Unlearning What Matters for Model Merging at Scale?

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.551293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.551293Z digest=sha256:b3a57950970f0b1b58ea3a3ef6064781c3aa4641b739b61ab36b14bb1d9a67f5