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Paper Citation Record · LEDGER

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2403.07816.

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

pith.paper-citation-record.v1
2403.07816 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:59:01.299244Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ea98dbbd-ef04-4585-bd73-cb4d7e085bff · inbound

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

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.533279Z

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.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:afc130162ffd27d4dffb9a0465d486308df8076b0d3e8c8bcb4d0cc08f95695c

Observation 49529888-9c6f-4fe2-8f18-cfe59358eb43 · inbound

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:48:45.078134Z

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.

source=pdf_text observed=2026-05-18T02:48:44.900467Z digest=sha256:a97e09ce267cf42305693f7dab2cbf52eebefc01dca262cf0ad2e43b2178b7ad

Observation 118b8e59-244c-479c-b46b-1d01b0776e34 · inbound

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

BTS: Harmonizing Specialized Experts into a Generalist LLM Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T21:59:01.299244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:59:01.299244Z digest=sha256:a59fe080b69ce162206dea342bc709295019f1a7be2ad1a711df482f14b1d21a

Observation 55219059-8b9d-4e62-9dc1-2694177feaf1 · inbound

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs cites this paper.

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:41.187674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:01:41.187674Z digest=sha256:1a41b09bab23a2e9530c6ec1cea6a2b4a64a6adeeb32dec551817361279f68dd

Observation 38b0b922-42ef-4aaf-a09b-a1bc4743654a · inbound

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing cites this paper.

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T13:58:45.781449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:58:45.781449Z digest=sha256:abdb2205f0ee379b97337480612f8748bd2e5e3c4a31a1dd632978c93e6f378b

Observation 95187b89-fe6e-43d2-b041-0c2e0b71ce16 · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-08T22:33:09.610601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:33:09.610601Z digest=sha256:7e1cc6bbb9bf887a8f38e01d0547178f87eecce3058388ac3d14620bc5ca0e77

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

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging cites this paper.

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=sha256:4fc894c39147a52adc46bac0bfdfd70f0a02f7f416e984c2d3249827242aeece

Observation 57673075-2f66-4518-bf23-0cdaec613735 · inbound

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA cites this paper.

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:07.285304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:07.285304Z digest=sha256:90610c6ff3b44964f95e768a0c98f7a5c72d0894e0c7bbda5b009fd745a38d60

Observation 403b2711-9e2d-4dd2-b06f-8919493aeec8 · inbound

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:27.543759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:27.543759Z digest=sha256:c7d3a2c3a6eb2c3fc032ae018e02e2dbee2035e700a32345a866625313360d51

Observation 8b3f5430-896d-4d06-95b2-18dc87da90c1 · inbound

Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts cites this paper.

Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:42.951518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:42.951518Z digest=sha256:840fd96fc67fdcfc9bb1e554fe19e87857db90ba0411c1b016e402270713a3c4

Observation 1f72bf8c-0502-4caa-8812-6b914dc793e9 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:16.065386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:16.065386Z digest=sha256:4e3dd8fa8725447595c522bde83d08671bda99a82fc8a64b00c522bd319961d3

Observation 5f497ec4-0856-48e6-bfc2-dbdec66ba17b · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:56:11.344597Z

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.

source=arxiv_source observed=2026-05-10T05:52:28.822723Z digest=sha256:aa0f8cc6c7f2c5651a13bf60ef1aa58f1d398d5a2bb2264900087c473c255716

Observation 9cc823dc-58f8-4551-94ce-d6e148b6b60b · inbound

AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.

AlignCultura: Towards Culturally Aligned Large Language Models? Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:04.871083Z

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.

source=arxiv_source observed=2026-05-10T02:36:36.854805Z digest=sha256:0701b61a9176b1905778834fc731f75c92ccddaf42408af898f1df0cf8642378

Observation 510cd069-5f02-44e8-8d05-96dc85325f93 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:29:21.492760Z

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.

source=pdf_text observed=2026-05-10T03:29:16.555166Z digest=sha256:1b90424fe08729b6909a4013565615d2f800148bc156cbe57a6e1d919b90258f

Observation f322282b-254e-47c7-9014-499a05c34e76 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:06:15.288974Z

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.

source=pdf_text observed=2026-05-12T02:03:02.654035Z digest=sha256:d1c830c91e760cb2397884c2eaa19523e4e05eb34aebd0a6f20e1bf36283060a

Observation 5a9e2513-56f6-46ac-955e-e577443a0473 · inbound

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation cites this paper.

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:54:46.144753Z

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.

source=arxiv_source observed=2026-05-09T23:50:54.141406Z digest=sha256:c0269dbcb915f292cd535906ad4cbd8bab4f6b5bb5a4bd40d35899bf8a86ce24

Observation 02690304-04d9-4fa8-a737-3aa3f72c66d8 · inbound

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts cites this paper.

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:27:18.830848Z

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.

source=pdf_text observed=2026-05-13T05:20:32.087436Z digest=sha256:4ce77a7bbe1aafb629598c6613542bb6bc7c8690f2d39fa82748f6dbf8e2f8a2

Observation 8e209185-256d-48c0-8778-c0d43246b047 · inbound

EMO: Frustratingly Easy Progressive Training of Extendable MoE cites this paper.

EMO: Frustratingly Easy Progressive Training of Extendable MoE Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:07:53.554852Z

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.

source=pdf_text observed=2026-05-14T20:06:33.816250Z digest=sha256:318a0be2e50a8c737eb2d0cb12a3fdc4efa2fa796bc6f63a5941d8193ef6ebac

Observation 54235152-a667-4545-b801-502d4a252c24 · inbound

EMO: Frustratingly Easy Progressive Training of Extendable MoE cites this paper.

EMO: Frustratingly Easy Progressive Training of Extendable MoE Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:35:04.347536Z

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.

source=pdf_text observed=2026-05-15T05:32:10.642355Z digest=sha256:82467b346db6a63844db2eb3444825b37ac22ca57588167735a1a8b1892f49e5

Observation ce9b32db-3b23-4f1b-8f68-84c3ffcc804f · inbound

Combining pre-trained models via localized model averaging cites this paper.

Combining pre-trained models via localized model averaging Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 156

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:57:32.970825Z

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.

source=arxiv_source observed=2026-05-14T17:56:34.111280Z digest=sha256:c09ef6ab0d3528f49760ff046a6f7a7f4ad78243bcf9927ddd0f511c494337fe

Observation 7e80c7a9-69b2-4ac5-92a3-eaf9d8ef41c2 · inbound

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting cites this paper.

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:33:15.687684Z

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.

source=pdf_text observed=2026-06-29T08:25:57.439668Z digest=sha256:415191261e87869b77387f64844741a454794ced1d2de54c468b160bedc6ad64

Observation 8a60a3ba-1661-4184-a63d-d23056f0fe6f · inbound

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models cites this paper.

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:09.483876Z

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.

source=pdf_text observed=2026-06-27T22:18:34.218251Z digest=sha256:bd850159560792b94720e887a4c019a38904a5af3e291082ef0658c647eddbf7

Observation 62cd9b03-e33c-4715-904e-1a5f57a0baba · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 125

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:40:00.394183Z

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.

source=arxiv_source observed=2026-06-25T23:32:43.585170Z digest=sha256:30f04d7d420a03aced26a5df12a64fc9a2327ab01956613c7dfa27e0e254b04d

Observation 993953e3-9cb7-4f4c-97e8-670a6f783b74 · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T12:29:35.403453Z digest=sha256:ea6207e07f85222aba716227658fa118cb47da45584e8db5bb0ab80dd5e4f49e

Observation 2ceffadc-58f7-4217-bb2f-f6cf432c556e · inbound

Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts cites this paper.

Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:24:27.007460Z

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.

source=pdf_text observed=2026-06-30T06:05:47.948367Z digest=sha256:4f3cda5c2be2d49fdf20b8c7d2a8be7395353d2b02ea659f6d9583e7a5d85fe3