Paper Citation Record · LEDGER

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.16427.

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

pith.paper-citation-record.v1
2607.16427 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:01:45.680930Z

measured 36 of 36 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact5
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 306b6af1-6f07-4216-9c07-8ab01eaf57c6 · outbound

This paper cites Scaling Laws Across Model Architectures:.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Scaling Laws Across Model Architectures:

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.196314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ba4ce7-7cf0-4719-b9f4-3e1febc181cc · outbound

This paper cites Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.273281Z

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Observation f2ce6276-b812-4b4d-bc03-309cb78e18f2 · outbound

This paper cites 2025 , url =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts 2025 , url =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.386683Z

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Observation 197ee4ba-7bfe-485d-a4be-9c9c9bb4beae · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Advances in Neural Information Processing Systems , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.533172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92379b3-cc49-4aa3-949b-1610faaf542a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Advances in Neural Information Processing Systems , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.609177Z

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Observation f81a6464-fbf1-4859-a300-a6cedfab4507 · outbound

This paper cites IEEE Transactions on Parallel and Distributed Systems , volume=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts IEEE Transactions on Parallel and Distributed Systems , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.696866Z

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Observation 25f58908-ae22-4a92-8732-5ca872a8a9ed · outbound

This paper cites JOURNAL OF IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE , year=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts JOURNAL OF IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE , year=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.769157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9430e14-a9f1-4186-b8ea-18e2ccd84f87 · outbound

This paper cites Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:42.897579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710d82a9-5937-4fb3-a030-56d45b9e30c7 · outbound

This paper cites Scaling Vision with Sparse Mixture of Experts , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Scaling Vision with Sparse Mixture of Experts , booktitle =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.028026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6590902d-e0fb-488f-8a8a-f6ca13a33984 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts The Thirteenth International Conference on Learning Representations,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.135375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8a1944-7517-4be3-918c-c050228da509 · outbound

This paper cites an unresolved cited work.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.249370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03692010-1474-4107-9c89-1d44a2e84ec4 · outbound

This paper cites Le and Geoffrey E.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Le and Geoffrey E

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.346274Z

Source-reported events for the cited work

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Observation 42c3c63b-86a5-4b3e-af61-38fed0f3c557 · outbound

This paper cites an unresolved cited work.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.477025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad253c0-edef-468f-972b-5f79ca131f91 · outbound

This paper cites The Eleventh International Conference on Learning Representations,.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts The Eleventh International Conference on Learning Representations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.586604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf08ba7-f390-4ffd-962b-d20095dcc995 · outbound

This paper cites On the Representation Collapse of Sparse Mixture of Experts , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts On the Representation Collapse of Sparse Mixture of Experts , booktitle =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.703624Z

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Unavailable: canonical work link unavailable.

Observation 6df381eb-d2bd-438f-8ce7-9b20336d7aa4 · outbound

This paper cites SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse , booktitle =

Reference 16

Resolution: verified exact; doi, observed 2026-08-01T21:04:37.940446Z

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.

Observation 815987c6-2914-495d-947f-39bee5a5a231 · outbound

This paper cites HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts , booktitle =

Reference 17

Resolution: verified exact; doi, observed 2026-08-01T21:04:37.781518Z

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.

Observation e91fc752-bf5b-41e2-a028-f5d4337d1bb7 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts The Thirteenth International Conference on Learning Representations,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:43.998637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2966cd7d-3d22-4f3f-8d4f-0a23bdc13775 · outbound

This paper cites On the Spatial Structure of Mixture-of-Experts in Transformers.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts On the Spatial Structure of Mixture-of-Experts in Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.172037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dbd08e9-89c2-4412-af7c-5729dd35c667 · outbound

This paper cites CoRR , volume =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts CoRR , volume =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.338246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a894290-b6f6-4992-b6f1-f0f802bc0f88 · outbound

This paper cites Routing in Sparsely-gated Language Models responds to Context.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Routing in Sparsely-gated Language Models responds to Context

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-01T21:04:37.576067Z

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.

Observation b3eb1676-d9b5-45fa-b5dc-933c48aaa32b · outbound

This paper cites arXiv preprint arXiv:2406.00023 , year=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts arXiv preprint arXiv:2406.00023 , year=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.579116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba42d76-4540-4001-9202-3e99a26a5a37 · outbound

This paper cites StableMoE: Stable Routing Strategy for Mixture of Experts , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts StableMoE: Stable Routing Strategy for Mixture of Experts , booktitle =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.724025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aca609d-a384-416a-bc03-bf869e737e4c · outbound

This paper cites THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation , booktitle =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.835247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6521630b-9f55-44bd-8e4e-519af4ce3809 · outbound

This paper cites CoRR , volume =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts CoRR , volume =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:44.967343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3716d93-af71-445c-bde2-3fde07e00687 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.087341Z

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Unavailable: canonical work link unavailable.

Observation a178d931-d408-4599-a0bb-1c4d2d7920bd · outbound

This paper cites Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation , booktitle =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.156775Z

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Unavailable: canonical work link unavailable.

Observation 16e9ff11-e312-4341-891e-8a9754355d2e · outbound

This paper cites Advances in neural information processing systems , volume=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Advances in neural information processing systems , volume=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.223896Z

Source-reported events for the cited work

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Observation b2a9e037-6f41-454d-9618-60224c408e70 · outbound

This paper cites Carbonell and Quoc Viet Le and Ruslan Salakhutdinov , editor =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Carbonell and Quoc Viet Le and Ruslan Salakhutdinov , editor =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.303347Z

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Observation c9db6a07-d923-4031-8676-1cbc4775a6bb · outbound

This paper cites an unresolved cited work.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.348669Z

Source-reported events for the cited work

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Observation c979e64f-b1a2-4efc-85eb-a46977936354 · outbound

This paper cites Pointer Sentinel Mixture Models.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Pointer Sentinel Mixture Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.409030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b22b3fc-ce7d-43b3-b6be-fb1b726ce9ca · outbound

This paper cites Manning and Andrew Y.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Manning and Andrew Y

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.449827Z

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Unavailable: canonical work link unavailable.

Observation 94f57983-b277-423d-8748-5255bc16dd7d · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.502744Z

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Observation 825cfe30-6d4b-4711-ae38-d260cbb63a50 · outbound

This paper cites Gini Coefficient as a Unified Metric for Evaluating Many-versus-Many Similarity in Vector Spaces.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Gini Coefficient as a Unified Metric for Evaluating Many-versus-Many Similarity in Vector Spaces

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-01T21:04:37.386942Z

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.

Observation 361cc15f-a4b3-4256-8aba-1799c31ad435 · outbound

This paper cites MoEC: Mixture of Expert Clusters , booktitle =.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts MoEC: Mixture of Expert Clusters , booktitle =

Reference 35

Resolution: verified exact; doi, observed 2026-08-01T21:04:37.303952Z

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.

Observation a8bf9005-b0ac-45c4-a20a-e491d257c94f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:45.680930Z

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Pith citing papers

No inbound Pith citation observations are available.