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Paper Citation Record · LEDGER

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging

As of 7 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 4 inbound Pith citation observations for arXiv:2505.14136.

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

pith.paper-citation-record.v1
2505.14136 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:25.419709Z

measured 87 of 87 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:52.414007Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:24:08.572672Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact2
  • verified fuzzy48
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c9dd35-8559-43fd-a765-23f1301ad6f2 · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Git re-basin: Merging models modulo permutation symmetries

Reference 1

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no resolver link, observed 2026-08-07T15:42:17.246421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:17.246421Z digest=sha256:d8441093334bf5970fbbbd319a0f03a4e9423041e4e10c4d36198bfbf87cb171

Observation 0afa14f2-6d19-4cda-be0a-d8b806d03f0c · outbound

This paper cites The surprising effectiveness of test-time training for few-shot-learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging The surprising effectiveness of test-time training for few-shot-learning

Reference 2

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no resolver link, observed 2026-08-07T15:42:17.310853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:17.310853Z digest=sha256:7cb8969b5bcbc4e9f286cf6b1abb33563eb6526b65786608380961b0b994c207

Observation ec076363-d9cb-4e52-b4e3-dc6d099facc7 · outbound

This paper cites Locally weighted learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Locally weighted learning

Reference 3

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no resolver link, observed 2026-08-07T15:42:17.456548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:17.456548Z digest=sha256:8cf2b9c80c1e31641b4c06d3f2345b4f6fa1b70940a64b8ead9487b8c1aa27e2

Observation 345f48a3-5e76-4ad6-8d84-67a525d34949 · outbound

This paper cites Active fine-tuning of multi-task policies.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Active fine-tuning of multi-task policies

Reference 4

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verified fuzzy
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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=2026-08-07T15:42:17.556677Z digest=sha256:c96ff2ab9f519d9bd5be7a7bbb0744ef165e4d08757759a2b81247c7184eede0

Observation 60f4df47-51a7-41a4-89ac-692a1c23e792 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Improving language models by retrieving from trillions of tokens

Reference 5

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verified fuzzy
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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=2026-08-07T15:42:17.677799Z digest=sha256:938c5cd8a5b5586c910399c4b250ea4fb892bfdcb2390a75c4964d0746201dc0

Observation 8e79969c-6f29-4420-86cb-aa44ffb4019d · outbound

This paper cites Local learning algorithms.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Local learning algorithms

Reference 6

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verified fuzzy
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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.

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Observation 688f2454-ccf2-41e7-9e34-6e53f9ed9882 · outbound

This paper cites Language Models are Few-Shot Learners.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Language Models are Few-Shot Learners

Reference 7

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no resolver link, observed 2026-08-07T15:42:17.863956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:17.863956Z digest=sha256:bf39b3ca699759064855fced320ac28409ac621510079344819be9b1246068b3

Observation 5d8ffe5e-1075-4853-adee-58d21fefa0bc · outbound

This paper cites DAM: Dynamic Adapter Merging for Continual Video QA Learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging DAM: Dynamic Adapter Merging for Continual Video QA Learning

Reference 8

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no resolver link, observed 2026-08-07T15:42:17.967046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:17.967046Z digest=sha256:fdf22257714ef6b51a17727f76f78b99417cfb05b0ca54a734da8dbbf2d9d2f0

Observation 44a6c1ea-a4d2-4c98-8933-6c94ba5857a4 · outbound

This paper cites Unified scaling laws for routed language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Unified scaling laws for routed language models

Reference 9

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verified fuzzy
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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.

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Observation 483a20bf-93cf-4200-9ef4-e29202e8640b · outbound

This paper cites Robust locally weighted regression and smoothing scatterplots.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Robust locally weighted regression and smoothing scatterplots

Reference 10

Resolution
verified fuzzy
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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.

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Observation 9417b1c5-3187-4c34-8acc-ae01b255b9af · outbound

This paper cites Locally weighted regression: an approach to regression analysis by local fitting.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Locally weighted regression: an approach to regression analysis by local fitting

Reference 11

Resolution
verified fuzzy
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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.

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Observation 0b1db69c-92f7-4711-bd59-c8a1f9032710 · outbound

This paper cites Model merging by uncertainty-based gradient matching.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Model merging by uncertainty-based gradient matching

Reference 12

Resolution
verified fuzzy
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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.

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Observation c690fa08-63e9-425e-8535-ae3539ae7763 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:18.488521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:18.488521Z digest=sha256:52b563872fe83ee1edff3408d0c72e5c42f064b78835f857a680a2fbe47a0c57

Observation 3c14d67b-c186-4474-a289-0dbcca338076 · outbound

This paper cites One-Minute Video Generation with Test-Time Training.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging One-Minute Video Generation with Test-Time Training

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:42:18.611106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:18.611106Z digest=sha256:90cf60c1bf294bde66e35e8c5f67382a4c7a3b7f74a8d87b484d9bdfb6b8fd86

Observation 6cdbec9b-fee1-4bcc-866b-f52df688ae82 · outbound

This paper cites Ensemble methods in machine learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Ensemble methods in machine learning

Reference 15

Resolution
verified fuzzy
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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.

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Observation 894aa328-5123-4dda-a541-a4320cd983f2 · outbound

This paper cites Test-time training with masked autoencoders.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Test-time training with masked autoencoders

Reference 16

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verified fuzzy
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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.

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Observation b6d68517-0b9b-4287-9774-455ddacbf745 · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Loss surfaces, mode connectivity, and fast ensembling of dnns

Reference 17

Resolution
verified fuzzy
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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.

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Observation b09027ed-38c5-4c40-a951-96d0bc23b0d3 · outbound

This paper cites The Llama 3 Herd of Models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging The Llama 3 Herd of Models

Reference 18

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unresolved
no resolver link, observed 2026-08-07T15:42:19.084909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0366fb06-50ce-4186-9a52-3582be47e2a4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 19

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unresolved
no resolver link, observed 2026-08-07T15:42:19.207296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b700499a-34f2-4a2c-ac60-b4c67ed46b52 · outbound

This paper cites Scaling Expert Language Models with Unsupervised Domain Discovery.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 20

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unresolved
no resolver link, observed 2026-08-07T15:42:19.320715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c76160d-314f-42c2-8740-83ce8aaec0d9 · outbound

This paper cites Retrieval augmented language model pre-training.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Retrieval augmented language model pre-training

Reference 21

Resolution
verified fuzzy
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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.

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Observation 5e0acaeb-7170-4ee4-bf16-6b65c82fa891 · outbound

This paper cites Test-time training on nearest neighbors for large language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Test-time training on nearest neighbors for large language models

Reference 22

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verified fuzzy
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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.

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Observation 3403c4c1-1f84-4793-99b5-27938cbd7adf · outbound

This paper cites Measuring massive multitask language understanding.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Measuring massive multitask language understanding

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d46d9d77-0fd0-4e4b-929b-c56649afbb54 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Lora: Low-rank adaptation of large language models

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 45241f8a-5b7b-4ef4-b3b1-5fbdbacec3a8 · outbound

This paper cites Transductive active learning: Theory and applications.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Transductive active learning: Theory and applications

Reference 25

Resolution
verified fuzzy
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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.

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Observation 0c564aba-5a74-4273-b9cd-5c6f695e9d14 · outbound

This paper cites Efficiently learning at test-time: Active fine-tuning of llms.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Efficiently learning at test-time: Active fine-tuning of llms

Reference 26

Resolution
verified fuzzy
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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=2026-08-07T15:42:19.982053Z digest=sha256:8695a3a35c4545204e786f750a62d64a70a313a7c6510d82d6b536b002040317

Observation 6f7ca5ab-1e17-4361-8dee-193cb466653d · outbound

This paper cites Editing models with task arithmetic.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Editing models with task arithmetic

Reference 27

Resolution
verified fuzzy
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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.

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Observation 9c6a4e22-1c80-4049-b499-04669cfdd062 · outbound

This paper cites Averaging weights leads to wider optima and better generalization.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Averaging weights leads to wider optima and better generalization

Reference 28

Resolution
verified fuzzy
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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.

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Observation a647910f-62ea-485d-adc6-3380a52256a3 · outbound

This paper cites Data clustering: 50 years beyond k-means.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Data clustering: 50 years beyond k-means

Reference 29

Resolution
verified fuzzy
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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.

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Observation ce90a2cb-2155-48bf-82ff-2cc9dbe9d09b · outbound

This paper cites Online domain adaptation of a pre-trained cascade of classifiers.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Online domain adaptation of a pre-trained cascade of classifiers

Reference 30

Resolution
verified fuzzy
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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=2026-08-07T15:42:20.599411Z digest=sha256:b3cfc34f87efda2531a6f6a5a5eb5d09833b6a78df0eee2538a1b905883e7977

Observation 7224f32c-663a-4394-88e0-45346641c877 · outbound

This paper cites Llm-blender: Ensembling large language models with pairwise ranking and generative fusion.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Llm-blender: Ensembling large language models with pairwise ranking and generative fusion

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:34.038607Z

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=2026-08-07T15:42:20.701258Z digest=sha256:8e09a4c88c778b582ee8cc6b36dcf5add661fccb61e6796ba97c6735108d0916

Observation efa7732b-6d4a-477f-86fc-a3d06da64fd3 · outbound

This paper cites Dataless knowledge fusion by merging weights of language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dataless knowledge fusion by merging weights of language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:33.853625Z

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=2026-08-07T15:42:20.789395Z digest=sha256:8cae29d817a46cd6aad73a0138fc08c4439e923577462bd63ab03f72ce01f83a

Observation bbf018a9-c097-4be0-9c40-6836b3cc0816 · outbound

This paper cites SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:26.033203Z

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=2026-08-07T15:42:20.895955Z digest=sha256:9c45db6bed772c2aae3e158827d4ec8906260854534d337aa2d706a7860d79f1

Observation 67cedf8f-cfe0-4e81-b7a1-a8cc98a7ce46 · outbound

This paper cites Generalization through memorization: Nearest neighbor language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Generalization through memorization: Nearest neighbor language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:33.684198Z

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=2026-08-07T15:42:20.985893Z digest=sha256:61c584d68739852381abceba5b9bfe219ecf5a4cbf8754a61d5aaad65bea4a5e

Observation 6f1bf15d-9dfb-48d3-a371-b59a6c68310a · outbound

This paper cites Dynamic evaluation of neural sequence models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dynamic evaluation of neural sequence models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:33.485743Z

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=2026-08-07T15:42:21.068964Z digest=sha256:e81fa2736271f04e04159531c8b855fd475b827c443a0573e4f98445078af013

Observation 200186a7-a4ba-4468-a194-526ef02e0711 · outbound

This paper cites Dynamic Evaluation of Transformer Language Models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dynamic Evaluation of Transformer Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:21.167110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:21.167110Z digest=sha256:e40932b83943296e7a9e32535ce9b6d8d579c52ffde32b741cdb23a486dee476

Observation 1c92c14e-10c5-49a3-bdaf-8a6e5ac0f3ab · outbound

This paper cites Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:25.897996Z

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=2026-08-07T15:42:21.281499Z digest=sha256:a018844106d267d0451a4284555e60508514512bd1fd3a6a7ad14722b5748d03

Observation f679da36-a06e-4377-b785-798b607e6162 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:33.312813Z

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=2026-08-07T15:42:21.412505Z digest=sha256:a98fea3fee7eabf45fad66d46fc3896e84645d38c1d78ea4888b5338fab5c039

Observation 7b058177-784b-435a-a3ff-7acf76772da6 · outbound

This paper cites Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:21.516966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:21.516966Z digest=sha256:3e2ad8aee09faff49d0e881ccf5c54e6f8bd34fbc3701b10f2088a5138142c61

Observation 4f00b3f1-55ff-4655-bdb2-be73a8482d96 · outbound

This paper cites Dexperts: Decoding-time controlled text generation with experts and anti-experts.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dexperts: Decoding-time controlled text generation with experts and anti-experts

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:33.133666Z

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=2026-08-07T15:42:21.630172Z digest=sha256:f4337d0ffaad34c2f1cf89cc31dfbb2161b648e6eb5e820cc759e197222d7c31

Observation 44720ceb-7c44-4c5e-828e-da27d467246a · outbound

This paper cites Multivariable functional interpolation and adaptive networks.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Multivariable functional interpolation and adaptive networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:32.984327Z

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=2026-08-07T15:42:21.747338Z digest=sha256:9dddd575ee04299b4ce8f61d272e7f8d0e48fed0fe2842585076536498a4fac4

Observation 61f9c57b-1992-4462-89ad-7e254663a618 · outbound

This paper cites Twin-merging: Dynamic integration of modular expertise in model merging.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Twin-merging: Dynamic integration of modular expertise in model merging

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:32.812385Z

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=2026-08-07T15:42:21.824509Z digest=sha256:84bfeac9e3c93422e30511279558ca367a8f83ae93b41c39640907a712438871

Observation aa047537-5670-4847-a76c-e6796bae7f0d · outbound

This paper cites Merging models with fisher-weighted averaging.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Merging models with fisher-weighted averaging

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:32.659125Z

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=2026-08-07T15:42:21.902766Z digest=sha256:1199d9f19c6f116b67bb382cf863c06b2ee47c8161a2ed47f2c20f6d2747bba0

Observation 0c60b6b0-0436-4e20-a6aa-a3c936fe74e8 · outbound

This paper cites Pack of llms: Model fusion at test-time via perplexity optimization.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Pack of llms: Model fusion at test-time via perplexity optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:32.401434Z

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=2026-08-07T15:42:21.963114Z digest=sha256:da90b4f4923d365abbb1a725ef73257645e647f538d7ba7d920cbb41189f217e

Observation 78603686-6705-43da-bbb9-d6ad620f54d5 · outbound

This paper cites Fast learning in networks of locally-tuned processing units.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Fast learning in networks of locally-tuned processing units

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:32.063336Z

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=2026-08-07T15:42:22.042426Z digest=sha256:85fa4e834033308f991f865eeb0696034df7f0baf2ebcdbd635442077c87567b

Observation 4d3067e0-6e61-495d-9aa5-fea18cb004b0 · outbound

This paper cites On estimating regression.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging On estimating regression

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:31.629098Z

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=2026-08-07T15:42:22.166824Z digest=sha256:0e22d172738bd69522bfd86a729581aca4d77a65a7f8c9e80a8e4771e35f8b34

Observation f9ca9869-a205-42c4-9428-b0eecfeebcdd · outbound

This paper cites Dawin: Training-free dynamic weight interpolation for robust adaptation.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dawin: Training-free dynamic weight interpolation for robust adaptation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:31.289886Z

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=2026-08-07T15:42:22.245145Z digest=sha256:005f2b8667c7ab83d806b4f3d961a92e3267ef23bfac386f6eb1811597942a6b

Observation 8fff8a72-3484-4727-94c2-9c2f1244d29f · outbound

This paper cites On estimation of a probability density function and mode.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging On estimation of a probability density function and mode

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:31.079364Z

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=2026-08-07T15:42:22.317921Z digest=sha256:620632fc6676cb1e7a97a598b40db1b8aae0234bbafc9386d7ba193c3165056d

Observation 733b3e81-8f4d-43fd-b2ba-ba7a8eb33670 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:22.417681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:22.417681Z digest=sha256:b8d8f6e40d518980e3d249c55400556813aa6defed331a8a8846b5d85c1454ea

Observation a392aea4-7edc-4ab1-a210-2eebc33457ae · outbound

This paper cites Mingle: Mixtures of null-space gated low-rank experts for test-time continual model merging.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Mingle: Mixtures of null-space gated low-rank experts for test-time continual model merging

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:22.509217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:22.509217Z digest=sha256:75fd16766871e1cfb4bebcb14c31d274f7509c3cdba5d5499a6f0b254382f5e6

Observation baa14e24-7dd0-4c58-93b4-1abe85b19cc3 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:30.761505Z

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=2026-08-07T15:42:22.583606Z digest=sha256:8c4dc62e0b6beced20ae39f2b4c8d307894dcfcb64acde0562c051317a6b33f6

Observation fc9962c5-04c2-4d4f-b506-c9f2d499b581 · outbound

This paper cites Remarks on Some Nonparametric Estimates of a Density Function.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Remarks on Some Nonparametric Estimates of a Density Function

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:30.404692Z

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=2026-08-07T15:42:22.657787Z digest=sha256:19484ea3b046d7ed854bb43eb5d3bef5b0c83be6ef5866a80dd3a38588bd081d

Observation 88a80c22-1f81-44db-a666-cc27371b6d47 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:22.738268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:22.738268Z digest=sha256:45c1b3c40368c8fe39bf3db20e7275b079f36cc7459100eb666930e6b85cc80c

Observation b92bbd08-3c22-4ae7-a312-9ec539f64ffd · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Outrageously large neural networks: The sparsely-gated mixture-of-experts layer

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:30.145939Z

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=2026-08-07T15:42:22.826317Z digest=sha256:ce6243ca8f40fa7fdc57bedbfbe42c15996aea5f597ccedc43a16be83f65d22b

Observation 0e12106d-8fa4-4938-b008-9ac07166fd39 · outbound

This paper cites zero-shot.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging zero-shot

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:29.873608Z

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=2026-08-07T15:42:22.923014Z digest=sha256:58d6756707566bb9873fab9856df701314f52592c4d8a0f47356c2204607b698

Observation a274a264-6174-4a1a-8172-681ab2628e82 · outbound

This paper cites LADDER: Self-Improving LLMs Through Recursive Problem Decomposition.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.014357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.014357Z digest=sha256:cd32c219e0ef9510549e8b2bb978a0ce3893114f478954f349c03baf0b5d5838

Observation 5e7fb700-a741-407a-92e9-0b52eb222296 · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Mpnet: Masked and permuted pre-training for language understanding

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:29.595292Z

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=2026-08-07T15:42:23.136802Z digest=sha256:6c87e4627b5cbff32b1b8d14a7e630a3a4428b980517f50cb1b3bbe4eaea26bd

Observation dfe73e53-d8b5-4f2e-b67b-30beea896380 · outbound

This paper cites Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.213346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.213346Z digest=sha256:25df8dd8c53f531441e76b7aeda125b0d4efd340f123d16d62ee51c151e3be11

Observation fc00bfb9-95cf-45aa-94f2-935c82dfdc72 · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Test-time training with self-supervision for generalization under distribution shifts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:29.365063Z

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=2026-08-07T15:42:23.341237Z digest=sha256:eb1b8bb044bd7a69e83179b9bcae1b81b9042eb05287300a1b922a8af7fc77bf

Observation 3b8bc1b6-06ca-4ae7-b765-9bda8c1de3b6 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.423287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.423287Z digest=sha256:d148b2314c9f210b685b374f4fe51ef1e337062e32ca96591154342674186098

Observation 68cf8490-0673-4f87-b70d-d8acc74993ca · outbound

This paper cites Merging multi-task models via weight-ensembling mixture of experts.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Merging multi-task models via weight-ensembling mixture of experts

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:28.982827Z

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=2026-08-07T15:42:23.542167Z digest=sha256:b42f2c2d8ac73e0a18467e7eea5e469095193d5a7f471f14c784611fa66d7b88

Observation 7f389d98-efe0-4723-9799-74d1c7253320 · outbound

This paper cites Parameter efficient multi-task model fusion with partial linearization.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Parameter efficient multi-task model fusion with partial linearization

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:28.688694Z

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=2026-08-07T15:42:23.635419Z digest=sha256:1cd0a1ada40f13006ab8f12bf8e238f6757d2fdb1ebb53df4987753cc2700fa6

Observation ca64357b-b85a-4813-8636-237212ceaa2f · outbound

This paper cites Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.729292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.729292Z digest=sha256:878b162c36fdb9599e0eb4d6e34b090ee6a2cec11df792052ae0fdb82e70845e

Observation 443ec839-e33c-41fb-a228-ffd1e81b1747 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Self-consistency improves chain of thought reasoning in language models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.825753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.825753Z digest=sha256:54df5914bcdd36283fe69d294337471433c2eecf09d8dd5060ca623c25c2fcdf

Observation 6cf2d74d-87f5-4b26-a911-bbfc510117fb · outbound

This paper cites Smooth regression analysis.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Smooth regression analysis

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:28.279502Z

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=2026-08-07T15:42:23.921104Z digest=sha256:f2e6e32794e999249dcdc2561e91d5637a0508b1a89ebff8a5e0830231ec4fc9

Observation b87c8307-b345-4f50-bd13-3f1c59dfc8c0 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Chain-of-thought prompting elicits reasoning in large language models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:24.011817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:24.011817Z digest=sha256:0db58ce85aa0bd2628f5b24899f3960f1953e4c7c010ede08a213ecdc5aad1a8

Observation b5cae1f6-1492-45b4-a5e6-ca02acfa4eba · outbound

This paper cites Wikimedia downloads, 2025.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Wikimedia downloads, 2025

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:28.013645Z

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=2026-08-07T15:42:24.112741Z digest=sha256:619831176472026a71d3481b876de705d8d3686d96056c760025068a60dd1eaf

Observation 8c4aaa53-4f58-45a3-812a-b2f826223c0f · outbound

This paper cites Deep Learning is Not So Mysterious or Different.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Deep Learning is Not So Mysterious or Different

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:24.192013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:24.192013Z digest=sha256:b74fdfba89274fbe05b9071e158c03d2a4a06bd79930d4ed19f2a195869bd22a

Observation 578e2044-36f4-482a-afcf-82e20bc674e0 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:27.648451Z

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=2026-08-07T15:42:24.277341Z digest=sha256:8fffa9793e201e5f58f69f4e43bf3a68b5bab5e5ede38d0b8832d12761993e78

Observation 39f33703-f07d-43f9-9e5a-dc7511446229 · outbound

This paper cites Ties-merging: Resolving interference when merging models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Ties-merging: Resolving interference when merging models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:27.492986Z

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=2026-08-07T15:42:24.437332Z digest=sha256:ff66abb1ed1f363ba7d718568c639f171b045f22a8bfefc0dfdd9b34bd107c9d

Observation 891c9306-9037-4552-aca2-1ec5d8b41430 · outbound

This paper cites Qwen2.5 Technical Report.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Qwen2.5 Technical Report

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:24.508001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:24.508001Z digest=sha256:89dac354356fff0403d3a6308ba699a24a98e64696dff1c89e723c5994a9b2db

Observation 7e35ebee-1598-4686-8fb5-0ffad5eedf35 · outbound

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

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 72

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unresolved
no resolver link, observed 2026-08-07T15:42:24.591607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:24.591607Z digest=sha256:1e048ae08fd5d2783401b851f4c2e3896e25e3ea12f0c2295760265a71115b77

Observation 9d33e034-3b0c-4395-9b6b-061d185616d8 · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Adamerging: Adaptive model merging for multi-task learning

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:27.138095Z

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=2026-08-07T15:42:24.699948Z digest=sha256:ec9608d6c1dd31abb675040bec2834126c7f1de0dfa04f5d8686bbbb94f1d55e

Observation 40204dd1-77a3-41d2-8ba5-c3827029260e · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:26.855130Z

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=2026-08-07T15:42:24.781502Z digest=sha256:eb9043f5de15ecc33012610d9f37dd3f16a4f3c9c485147a40645550503070e4

Observation b53a7650-fd37-4c8e-b3b8-aee7469ecc20 · outbound

This paper cites Jasper and Stella: distillation of SOTA embedding models.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Jasper and Stella: distillation of SOTA embedding models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:24.855271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:24.855271Z digest=sha256:4328adbcfaeb47976c4d154eb7cc9715e4134b36848cfd2591ed50f3211cd73c

Observation 41b49fd7-6fc4-4990-8850-8b7532f87536 · outbound

This paper cites Bam! just like that: Simple and efficient parameter upcycling for mixture of experts.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Bam! just like that: Simple and efficient parameter upcycling for mixture of experts

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:26.390475Z

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=2026-08-07T15:42:24.949450Z digest=sha256:aa3cdd364a5bf38e4fcfe8988ab8c206d0822d11a215ba194ecca9e02e61c141

Observation 44264d05-83d7-41fc-a250-54f05126a1ae · outbound

This paper cites BTS: Harmonizing Specialized Experts into a Generalist LLM.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging BTS: Harmonizing Specialized Experts into a Generalist LLM

Reference 77

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unresolved
no resolver link, observed 2026-08-07T15:42:25.004379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.004379Z digest=sha256:bc15ffefa8d187035fb25e04f5dcf15dfc666b6cf2f238a5f42993e86af90e88

Observation 5a3b67ce-acc5-45bc-9f56-0f731d495933 · outbound

This paper cites Mixture-of-experts with expert choice routing.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Mixture-of-experts with expert choice routing

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:26.222828Z

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=2026-08-07T15:42:25.066864Z digest=sha256:fc9717adcc51565f764da0300687da8717cf6bcddacad1d487a19630a36f7b3f

Observation fd4dd804-8c1e-4860-9a4b-008189c67119 · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging TTRL: Test-Time Reinforcement Learning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:25.150277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.150277Z digest=sha256:bc83cb62663d5622d58e6a3d5fb0cf50baa39562341c134ae1e730ab6474c560

Observation 0e4176ed-33f1-4360-9fc6-50259d6a4032 · outbound

This paper cites write newline.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging write newline

Reference 80

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unresolved
no resolver link, observed 2026-08-07T15:42:25.216642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.216642Z digest=sha256:bdac06476d62bba42b4e73975f9a82fa34ffc1ca0de0089bd4b9a941cb58c19e

Observation 746b7b7a-64df-4eab-8ffc-804e5633876c · outbound

This paper cites @esa (Ref.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging @esa (Ref

Reference 81

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unresolved
no resolver link, observed 2026-08-07T15:42:25.292648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.292648Z digest=sha256:c97fa7e7be05ba3f72c22a631f49d6969a6831035aee773bfd08f9120edfc672

Observation 0219b703-648f-4db5-8aad-38335cbee857 · outbound

This paper cites an unresolved cited work.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Unresolved cited work

Reference 82

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unresolved
no resolver link, observed 2026-08-07T15:42:25.349473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.349473Z digest=sha256:40cb6d4309680f95faed33bce7820007b2c0fc4a592a260b5a4b1c6b66c4461e

Observation e87997e7-541e-41c7-8a76-4cfb075a44ea · outbound

This paper cites G5ɞ8E(wZ N8,q.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging G5ɞ8E(wZ N8,q

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:25.419709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:25.419709Z digest=sha256:44ea6929325704b7ff6134c4e23e6e09b47df16db240304a716b7fcd999cfe22

Pith citing papers

Observation b2ec1165-c56b-4de8-86c4-693909690b61 · inbound

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning cites this paper.

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging

Reference 2025

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unresolved
no resolver link, observed 2026-08-06T14:43:52.414007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:52.414007Z digest=sha256:267d8d530b1026a9d9336e3a7292fbd8dc033bf1148e89f49c7302fbc843466b

Observation 0a3eaa3e-d678-4834-a968-72cee0f7f207 · inbound

Test-time Offline Reinforcement Learning on Goal-related Experience cites this paper.

Test-time Offline Reinforcement Learning on Goal-related Experience Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T02:21:59.692656Z

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=2026-05-19T02:18:34.690441Z digest=sha256:8fa03a2287dc7b2a21b71f5a449f81eff359b42c88be1b73390ca7b2bb5ed7f2

Observation ac7f9dc3-5666-4c9c-970b-37406f13d5e7 · inbound

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation cites this paper.

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T17:00:10.120979Z

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=2026-05-15T16:58:36.575824Z digest=sha256:deedec7a4df68d506b5deeba96065c5de443a2dd5b7e3a18ed64e8e9e63d64cd

Observation d8beb062-cc2d-4c57-96b5-d2c1bfa2bf2e · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:24:08.574065Z

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=2026-05-21T11:21:30.867480Z digest=sha256:1c805a26d2c5ff3dc7972bdf7bb78c66a88e5afb0942f48c64c0ef9b0737ea6d