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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:09.610601Z

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
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  • 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:f381e0c6e29dbe22753c676176f43c51f115433080cd17559bba0df7037cb8b3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T02:48:44.900467Z digest=sha256:dc0649707f5ea5a2b5e6e4489b5be64a3268c434f33707109f4af8ecf3fe2c5e

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:e7d92e3acbb86c4850e7f90fe5d128c61a320dadc6b982200ceb6494f7ed8406

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=sha256:25df8dd8c53f531441e76b7aeda125b0d4efd340f123d16d62ee51c151e3be11

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=sha256:3376ac8502e414da745d1d0135c3197325a0fd5bc11d37ed0d35137caf5bd58e

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:a8f585bd7937df4ba21073875ca82e2bb6c69a2326e486d053930f7337e145a1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:52:28.822723Z digest=sha256:bac3bb6769762e27b0b8b6a46aa415b3424f3b9574712b16aa005a7ef1bfe41c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T02:36:36.854805Z digest=sha256:34a861981c16d571049a87e71066dfdab4f7846bda0d4244631537a60d3ebff1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T03:29:16.555166Z digest=sha256:17767df7cfff507c67659bc530512c366bdd09a39b9cb64c2784f9738451f421

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:03:02.654035Z digest=sha256:a799dc969023c6c4753de8d706774b3d21f2fb5733da62e63cf95690e783cbc3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T23:50:54.141406Z digest=sha256:a51a1983a0535f3fc1e5a2c4734b4947558873449ebe8be77186b6ddad73658e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:20:32.087436Z digest=sha256:8f14f11a51155489e59dba6e64e35b909d377538740649515357adbe228e3b5c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:06:33.816250Z digest=sha256:369b7b5a4557b01b577e231fae300ee828f7acbb72826223f1fff796c96abcb3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T05:32:10.642355Z digest=sha256:7b734f53964925c7ef735ccb23f0e9578773922a92962499c4001741c16ab3d1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T17:56:34.111280Z digest=sha256:6805e1da44ab8fc88adef6b4191671513dedfb55d1b47366434ae32babc0dc3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:25:57.439668Z digest=sha256:cc502239cf419c4ad3c50f2720891c84306b483cfcf15cd41b76082246488646

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T22:18:34.218251Z digest=sha256:1aa4337c04cde9edd8e3652f49c43a6fede6d202e928f7ef71230b048578413f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T23:32:43.585170Z digest=sha256:21f390eb8863417b005ba7ecb87fa0f5dec1d9a9fecaa16ffc4a71e1330db766

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=sha256:2c9a03e3e4275d9e33b76ab45f2ee9a4a8899a6ee356465187ff059a9e85d3ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:05:47.948367Z digest=sha256:ab1573e9f6552d70260880c7cee1e355687faa2d266ab6059096df67cc735499