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Paper Citation Record · LEDGER

What Matters for Model Merging at Scale?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:42:44.413356Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:544602c0c2500d88083773d639f681a53e5ceca60a72a3da72c37a1ff10caf4e

Observation 2bb10878-8b67-4146-9962-38cf55ce3c7d · inbound

Reward-Guided Speculative Decoding for Efficient LLM Reasoning cites this paper.

Reward-Guided Speculative Decoding for Efficient LLM Reasoning What Matters for Model Merging at Scale?

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-09T20:42:44.413356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:42:44.413356Z digest=sha256:10ed0ac65cd3fd9fd67306a05cd66c337180f3124e968c5712d9bfbff5092bd1

Observation ee850eac-1dd0-456a-9cc7-679ce73313e8 · inbound

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion cites this paper.

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion What Matters for Model Merging at Scale?

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-09T19:44:21.000924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:44:21.000924Z digest=sha256:9f508c5a09b693d613f0e435a5a213350cb42e7f4d6da2ab210475fceedaee26

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:b13783293210103172a04ba102971fceb1a0d661f05f77e6233c673c3cfd075a

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:b3c87a7a6be159012fff5385ee4ce8c97dc6dedcd496d8f3833e98d68e9a1269

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:b9898f6813e7a420d89c4f0554950ea9f5e8495aaf14af8c5ff2dd0bb1cf2805

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T13:32:33.009367Z digest=sha256:aad9690c6e266d2c96007d50baabea75569db74f873ce9afb9d01bff47dd7adb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T09:49:41.550981Z digest=sha256:87c73108852018006d93b108ab6c64604bdc851c4b9d056dff7122ee26c6fc91

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T00:52:36.700027Z digest=sha256:36879bf5feed1210ce8231fe26b7b1a58544f4e069f829019ac70998efaf9474

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:07:52.566360Z digest=sha256:76e462826e67c6a79ad9093243af10029dac2a009bf5ff19c6af570fedf15a7f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:40:00.510742Z digest=sha256:a0939adb3720b2e2855914354a273aece46b089119cbb91ebef41efc6e72c07a

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=sha256:2d22f13f9c2aea8421f8a6da06563f7548a9781d7efeed81b6fe4fc6bde6c7eb