Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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

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

Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:37.366099Z

Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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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

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Source-reported events for the cited work

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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; raw_fallback, observed 2026-08-07T15:42:36.750851Z

Source-reported events for the cited work

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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; raw_fallback, observed 2026-08-07T15:42:36.546646Z

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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

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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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Source-reported events for the cited work

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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

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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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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

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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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; raw_fallback, observed 2026-08-07T15:42:35.595720Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:35.368500Z

Source-reported events for the cited work

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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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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

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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

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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

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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; raw_fallback, observed 2026-08-07T15:42:34.773176Z

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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; raw_fallback, observed 2026-08-07T15:42:34.599954Z

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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 2026-08-09T06:31:02.800959+00:00.

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

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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

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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

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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

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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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 2026-08-09T06:31:02.800959+00:00.

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

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

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.

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

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

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 2026-08-09T06:31:02.800959+00:00.

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

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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

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

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.

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

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

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.

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

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

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 2026-08-09T06:31:02.800959+00:00.

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.

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.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.