Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T23:14:25.431471Z
Paper Citation Record · LEDGER
ST-MoE: Designing Stable and Transferable Sparse Expert Models
As of 7 August 2026, this Paper Citation Record lists 100 of 175 outbound references and 100 inbound Pith citation observations for arXiv:2202.08906.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:14:11.885288Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T03:27:46.863255Z
Reference resolution
100 of 175 outbound references displayed
- verified exact6
- verified fuzzy68
- unresolved4
- parse uncertain1
- malformed identifier0
- metadata mismatch21
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7e3bbc03-701a-44ee-a12f-7f9895f4fec7 · outbound
This paper cites Neural computation , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Neural computation , volume=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.239053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c0363d08-b2a0-4725-a753-1cbdbc2084f1 · outbound
This paper cites Neural computation , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Neural computation , volume=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.247633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f849d6ae-4b34-4c3a-a23b-54f157af91df · outbound
This paper cites 12th \ USENIX \ symposium on operating systems design and implementation ( \ OSDI \ 16) , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 12th \ USENIX \ symposium on operating systems design and implementation ( \ OSDI \ 16) , pages=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.251253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a2085c12-55ba-4afb-bee5-546fa20966f8 · outbound
This paper cites Advances in Neural Information Processing Systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in Neural Information Processing Systems , pages=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.254989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 046081d6-cb00-48a6-b50a-38a360bbfedf · outbound
This paper cites an unresolved cited work.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:14:26.259175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f92ff7fa-75bf-43ab-a389-50be7ea7ea01 · outbound
This paper cites Proceedings of the 44th annual international symposium on computer architecture , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Proceedings of the 44th annual international symposium on computer architecture , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.262772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c40bc2c7-cefe-4a51-90dc-7b2bed2ba33b · outbound
This paper cites International conference on machine learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International conference on machine learning , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.266523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bfd594c5-8615-4b20-83f8-c2c3d8cece66 · outbound
This paper cites International conference on machine learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International conference on machine learning , pages=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.270328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c72ca70a-1a47-4b78-9cfe-6dc9c479fad7 · outbound
This paper cites Advances in neural information processing systems , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in neural information processing systems , volume=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.273543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 31a08be5-1f84-4df6-86eb-c5c0633cef05 · outbound
This paper cites Google Cloud Blog , year=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Google Cloud Blog , year=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.278234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 97c24351-1235-411b-8ead-26e491a68e21 · outbound
This paper cites Google AI Blog , year=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Google AI Blog , year=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.281252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2e94748d-dfa3-455c-8952-358d3e5f415e · outbound
This paper cites Distilling the Knowledge in a Neural Network.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Distilling the Knowledge in a Neural Network
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.876204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f973cee-11f0-4ce5-b103-b3f437dda023 · outbound
This paper cites an unresolved cited work.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:14:26.284495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c92bd85d-2009-45b5-83fe-cc4b21f1a839 · outbound
This paper cites Advances in Neural Information Processing Systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in Neural Information Processing Systems , pages=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.288031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca3bc2e3-f78b-44d2-826c-6cd3952783e4 · outbound
This paper cites Advances in neural information processing systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in neural information processing systems , pages=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.291585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e307b0e9-6a47-4d11-9d0c-410a2d08ddf8 · outbound
This paper cites and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan , biburl =.
ST-MoE: Designing Stable and Transferable Sparse Expert Models and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan , biburl =
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.295256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 69aea647-1efe-4a7c-9cd2-ee5975d77891 · outbound
This paper cites 2020 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2020 , eprint=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.299877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5160ce8b-7f9b-458f-9bf6-b1307c664e0f · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.303760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba54f5b2-61bb-4d2c-abcc-48df3c3e89da · outbound
This paper cites Big Bird: Transformers for Longer Sequences.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Big Bird: Transformers for Longer Sequences
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T01:54:01.139247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea891404-2b92-42a4-bffa-bb49cf382547 · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.821498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d2edb82d-0c23-478e-acbf-a88d2db0481f · outbound
This paper cites Teaching Machines to Read and Comprehend , url =.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Teaching Machines to Read and Comprehend , url =
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.307192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 38367276-de34-434f-9573-df597902348f · outbound
This paper cites 2020 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2020 , eprint=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.310562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 309ec290-95df-4770-b408-537ea5012428 · outbound
This paper cites Communications of the ACM , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Communications of the ACM , volume=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.313913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 61724017-51e8-4d95-bc24-fd4160263634 · outbound
This paper cites 2020 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2020 , eprint=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.317145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2e0def31-2cd3-45a6-834f-b069d02ba8d8 · outbound
This paper cites 2019 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2019 , eprint=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.320762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e6f611e-4995-4060-b03c-7508818ba72e · outbound
This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.
ST-MoE: Designing Stable and Transferable Sparse Expert Models An Overview of Multi-Task Learning in Deep Neural Networks
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:50:25.566913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f99fd7fc-3e73-4cfd-a0ce-3a6caa6de942 · outbound
This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
ST-MoE: Designing Stable and Transferable Sparse Expert Models GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.793609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2fa18507-2516-46ea-9d49-5ba503e92f8f · outbound
This paper cites Advances in Neural Information Processing Systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in Neural Information Processing Systems , pages=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.324870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7fe897d7-f2ca-4d7c-9c36-0b71110079e2 · outbound
This paper cites Advances in neural information processing systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in neural information processing systems , pages=
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.329810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ebc0be28-0177-40ea-9094-e2a23021e923 · outbound
This paper cites Cloze procedure.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Cloze procedure
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.333076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 080aada6-2d58-46f5-9f71-69e86f82f1cf · outbound
This paper cites The Hardware Lottery.
ST-MoE: Designing Stable and Transferable Sparse Expert Models The Hardware Lottery
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.596054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8765c9ff-468e-4eaa-ab30-c5413ca67488 · outbound
This paper cites International Conference on Learning Representations , year=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International Conference on Learning Representations , year=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.336479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f11c9fca-fe1d-41d6-bbd0-d20baad0d1fc · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Transactions of the Association for Computational Linguistics , volume=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.340507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fdbdb093-39e0-46ec-aa2e-0c0b04697e41 · outbound
This paper cites Proceedings of the 2013 conference on empirical methods in natural language processing , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Proceedings of the 2013 conference on empirical methods in natural language processing , pages=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.344787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c547233-892f-472d-a2f0-d0da97e16830 · outbound
This paper cites Neural computation , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Neural computation , volume=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.348186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17e7fe4c-28a3-4d1a-91ac-b9c3cece5104 · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Generating Long Sequences with Sparse Transformers
Reference 58
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.906150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c0c9a629-8755-44d9-8b5b-8da5af7565e5 · outbound
This paper cites Longformer: The Long-Document Transformer.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Longformer: The Long-Document Transformer
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.954005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 440f3928-87be-4a0b-8185-71498a334d10 · outbound
This paper cites Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.961090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7324901c-1709-4911-8a29-2a5e949dcf10 · outbound
This paper cites an unresolved cited work.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unresolved cited work
Reference 61
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-12T23:14:26.351282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation af61a47e-b27d-4f06-98ad-f7133b7bbb2c · outbound
This paper cites PipeDream: Fast and Efficient Pipeline Parallel DNN Training.
ST-MoE: Designing Stable and Transferable Sparse Expert Models PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Reference 62
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.548820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation be5eed83-9bd3-4ee8-a33e-4b405319fad7 · outbound
This paper cites Scalable Transfer Learning with Expert Models.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Scalable Transfer Learning with Expert Models
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.563954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f7665a65-a854-4b4e-a767-d0beb4e6130c · outbound
This paper cites Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.570470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17037839-5876-4d38-a62d-275a9e5057c8 · outbound
This paper cites Reformer: The Efficient Transformer.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Reformer: The Efficient Transformer
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T07:22:03.298150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8a68cf8-bf36-4708-9a50-4dc9e4243986 · outbound
This paper cites Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures , pages=
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.354649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c20f4504-2af2-4e5b-92ec-9defdbfe8164 · outbound
This paper cites an unresolved cited work.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:14:26.357434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6e744918-0599-43ed-830c-0fc7b71b6ab1 · outbound
This paper cites Sparse GPU Kernels for Deep Learning.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Sparse GPU Kernels for Deep Learning
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.654291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f176fb34-9c9b-4f61-b653-f3e2a21162e3 · outbound
This paper cites Efficient Neural Audio Synthesis.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Efficient Neural Audio Synthesis
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.666215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 353184c9-acbf-4f95-b2fc-e8ff7e770f4b · outbound
This paper cites Energy and Policy Considerations for Deep Learning in NLP.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Energy and Policy Considerations for Deep Learning in NLP
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.673836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2e458b79-79a4-4b75-9dac-b7c65320f67f · outbound
This paper cites Advances in neural information processing systems , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in neural information processing systems , pages=
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.360769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1cb9a8f0-ffb6-488f-844e-5f9afc84e146 · outbound
This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.
ST-MoE: Designing Stable and Transferable Sparse Expert Models REALM: Retrieval-Augmented Language Model Pre-Training
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:59:16.231557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 574dcda9-3fd9-4e09-9aa6-ed2b056ce439 · outbound
This paper cites Bulletin of the American Mathematical Society , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Bulletin of the American Mathematical Society , volume=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.363466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a9965ca-f18b-4f79-8d81-4fe94c11d65d · outbound
This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.
ST-MoE: Designing Stable and Transferable Sparse Expert Models ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T09:24:35.924862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa892273-36d0-4798-828e-8002fd543365 · outbound
This paper cites International conference on machine learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International conference on machine learning , pages=
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.367698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 478c2168-909e-44ac-8dbe-9c5d0d9befd7 · outbound
This paper cites Icml , year=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Icml , year=
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.371474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cd656b2a-7d71-43e9-8543-49bb16ce49c1 · outbound
This paper cites International Conference on Machine Learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International Conference on Machine Learning , pages=
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.375126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6dbc823d-8eed-4679-ab91-27c733945121 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.378004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3f1ba9b3-7b83-4c6e-85cd-cd548218dd0f · outbound
This paper cites 2012 , publisher=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2012 , publisher=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.381354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e59fa68-41b9-4f6d-ac3a-5e8ff7e211ca · outbound
This paper cites Adaptively Sparse Transformers.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Adaptively Sparse Transformers
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:25.533024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 77d7c5f8-5577-49ad-a511-3c075d008c32 · outbound
This paper cites Adaptive Attention Span in Transformers.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Adaptive Attention Span in Transformers
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:25.540984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a67c2401-44fa-445c-96c8-ef75c3565c24 · outbound
This paper cites Journal of Machine Learning Research , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Journal of Machine Learning Research , volume=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.384762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 133d741e-dce6-46c2-9ef6-ac69cd5b3104 · outbound
This paper cites proceedings of Sinn und Bedeutung , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models proceedings of Sinn und Bedeutung , volume=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.389945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 625bba96-c63a-4414-91ad-73e36b1673d5 · outbound
This paper cites 2015 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2015 , eprint=
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.394278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6f4b73f0-6a55-44d9-a059-6f21718c3887 · outbound
This paper cites Advances in neural information processing systems , volume=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Advances in neural information processing systems , volume=
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.397932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17ff3182-2201-44c7-a6aa-4ab1167b29ba · outbound
This paper cites 2019 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2019 , eprint=
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.401601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 713b3523-37ba-4597-83cb-64339082c636 · outbound
This paper cites ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
ST-MoE: Designing Stable and Transferable Sparse Expert Models ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Reference 104
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:25.615889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e63850c1-2644-4573-beab-e99549d08d15 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 105
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.405854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8b48262c-c65e-4518-a40e-728e7ead7c5f · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 106
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.409091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f70d6a9b-f9d6-4970-b599-578c7df57eef · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 107
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.412847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78d7d680-2e4a-4d9d-b5dc-248873f1dbaf · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 108
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.416563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6d16588-711c-4fc6-b067-2f884e1c40ac · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
ST-MoE: Designing Stable and Transferable Sparse Expert Models On the Opportunities and Risks of Foundation Models
Reference 109
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.736459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2ec5729-b2dc-4fda-8d40-7684ad782050 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 110
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.419687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7cd844c4-690b-4b36-9b80-2b5f9f02c77d · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 111
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.423100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2c9d1f62-593e-4ffb-af41-30db29bd61e5 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 112
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.426409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 58f72aed-bf8e-4eb3-ae46-397f7a3790be · outbound
This paper cites 2020 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2020 , eprint=
Reference 113
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.429437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b41705c2-d7b8-4237-ba12-cc09241f018b · outbound
This paper cites 2020 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2020 , eprint=
Reference 114
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.432513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1e7cb09e-aa35-496c-a00e-0af19336fd6e · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 115
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.435275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8745b592-a933-40a0-863f-c41a919fa8e9 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 116
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.438511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4db36fbd-8806-4bd4-a44a-6e390f21c11c · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 117
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.443006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 77588b18-3670-46b8-9e4e-972ee191e8e1 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 118
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.446589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2117bacb-3f2a-48ae-b602-cbce6ec6b8bc · outbound
This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=
Reference 119
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.450357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6382114b-f616-4d22-b0e9-9210ee97b090 · outbound
This paper cites International Conference on Machine Learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International Conference on Machine Learning , pages=
Reference 121
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.453653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8a6ed10b-7b19-4a99-a730-e7e1ba9e7391 · outbound
This paper cites International Conference on Machine Learning , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models International Conference on Machine Learning , pages=
Reference 122
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.457514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c075f1e5-8d17-4429-a42f-23a0a60f8a5b · outbound
This paper cites Decoupled Weight Decay Regularization.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Decoupled Weight Decay Regularization
Reference 123
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.556218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 422f2a7e-2534-474e-9dad-c1427e1acb5a · outbound
This paper cites 2016 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2016 , eprint=
Reference 124
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.461386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6679f094-ae63-4b3b-ba88-35edd4d2569f · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 125
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.465768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eba129fb-671e-423b-8d23-175401890b04 · outbound
This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2009 IEEE conference on computer vision and pattern recognition , pages=
Reference 126
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.469593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cc8ccce7-5bad-4dc0-a250-f81b5b85201f · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 127
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:25.994993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 76e5a90b-b4e1-43e8-a7dc-ea7fc4877389 · outbound
This paper cites 2021 , eprint=.
ST-MoE: Designing Stable and Transferable Sparse Expert Models 2021 , eprint=
Reference 128
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:25.999104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 141df76f-e23c-4f97-9f33-097fa31967f0 · outbound
This paper cites an unresolved cited work.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unresolved cited work
Reference 129
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T23:14:26.005619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d0e15952-c481-4d03-9a7d-ddd0c3b6d73c · outbound
This paper cites Efficient large scale language modeling with mixtures of experts.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Efficient large scale language modeling with mixtures of experts
Reference 130
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.009775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aaae6167-36d8-4a44-a802-0cb40e6d28a4 · outbound
This paper cites Layer Normalization.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Layer Normalization
Reference 131
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T23:14:25.660180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2175b0bb-de85-4fef-872e-9a46e61fc451 · outbound
This paper cites Conditional computation in neural networks for faster models.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Conditional computation in neural networks for faster models
Reference 132
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.015463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9bfbda3-de07-4546-99c9-9310e2de2164 · outbound
This paper cites Semantic parsing on freebase from question-answer pairs.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Semantic parsing on freebase from question-answer pairs
Reference 133
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.020215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d63a30a2-41c6-43dd-87fa-a8770229b2a4 · outbound
This paper cites Language Models are Few-Shot Learners.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Language Models are Few-Shot Learners
Reference 134
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T23:14:25.685972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6596db79-f720-4508-bf26-ec6c578637e8 · outbound
This paper cites Unified Scaling Laws for Routed Language Models.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Unified Scaling Laws for Routed Language Models
Reference 135
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:25.718005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0d809d4d-af55-49e5-87b9-5be48f9cfbc7 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 136
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T23:14:25.724154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3b89347f-9e6c-4e0d-8044-0f2c081af8e6 · outbound
This paper cites Language modeling with gated convolutional networks.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Language modeling with gated convolutional networks
Reference 137
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.024492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a986968f-5c7b-4ebb-9e89-2dbd4600d016 · outbound
This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.
ST-MoE: Designing Stable and Transferable Sparse Expert Models The commitmentbank: Investigating projection in naturally occurring discourse
Reference 138
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.029782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2785fabf-a27c-492a-a6ab-a3bff568e4f1 · outbound
This paper cites Introducing pathways: A next-generation ai architecture.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Introducing pathways: A next-generation ai architecture
Reference 139
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.035050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1fb93a68-c771-4db2-b991-5c7ceccdccb2 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
ST-MoE: Designing Stable and Transferable Sparse Expert Models Imagenet: A large-scale hierarchical image database
Reference 140
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T23:14:26.039579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 67a7c374-9df5-4ea4-adcf-d5aa90925842 · inbound
PaLM: Scaling Language Modeling with Pathways cites this paper.
PaLM: Scaling Language Modeling with Pathways ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 176
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3c6053bd-e93e-4160-bd65-be85372de604 · inbound
Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 81ad87bb-beef-4ee8-9f4e-9ec76652caeb · inbound
PaLM 2 Technical Report cites this paper.
PaLM 2 Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 262
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0a169d98-7503-48eb-ae7f-1796eae99012 · inbound
Scaling Data-Constrained Language Models cites this paper.
Scaling Data-Constrained Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 143
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a86c06f-f37d-4b3c-a651-d68f4718f167 · inbound
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ba4f66c-8e43-4318-a115-d74850562e0a · inbound
Jamba: A Hybrid Transformer-Mamba Language Model cites this paper.
Jamba: A Hybrid Transformer-Mamba Language Model ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 54
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46e05863-54f8-4001-a82f-79e2c3d03610 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 94
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d9c6a86d-8593-45dd-b90e-4b29d085d8c4 · inbound
Qwen2.5 Technical Report cites this paper.
Qwen2.5 Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 84a53930-ff56-42f4-82a0-c4d607a2c969 · inbound
MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.
MoBA: Mixture of Block Attention for Long-Context LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 64
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 43a4d525-4e00-4178-9250-94edf613e55f · inbound
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment cites this paper.
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e8d7945-0255-4df4-9709-245e1884b6a1 · inbound
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 37db8820-005c-4f5c-810f-4550f796cf64 · inbound
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d6251c4e-449c-4d4a-9cfe-aae1467b3f1c · inbound
Decoupled Relative Learning Rate Schedules cites this paper.
Decoupled Relative Learning Rate Schedules ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 23
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3dd1e9b-0d51-4115-8e98-174d7f77f9a8 · inbound
MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines cites this paper.
MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff2f5baa-4966-4c59-a6ab-eef86c2a9538 · inbound
Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition cites this paper.
Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85bd6396-169b-49bf-b005-41efc2ba5aa0 · inbound
Apple Intelligence Foundation Language Models: Tech Report 2025 cites this paper.
Apple Intelligence Foundation Language Models: Tech Report 2025 ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2d15f56-e33b-49f5-9a5f-b9ea67da2ed7 · inbound
TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding cites this paper.
TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 65
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da16a950-7ef8-4dfa-a288-7ef3be779e10 · inbound
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 73
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1aeb1bd1-5f7f-40a0-8fef-9b7bbaecd5c8 · inbound
A Novel Image Similarity Metric for Scene Composition Structure cites this paper.
A Novel Image Similarity Metric for Scene Composition Structure ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 111
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07200874-7ac8-4c54-a858-4753c5112811 · inbound
HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID cites this paper.
HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 111
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b20848b1-08c8-4486-9a51-c008c1573e61 · inbound
Maximum Score Routing For Mixture-of-Experts cites this paper.
Maximum Score Routing For Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0891a351-fee2-4949-8b0e-eadd58e3fc64 · inbound
HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference cites this paper.
HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f0126d6-8219-4377-92f5-da403a76b8b7 · inbound
FinCast: A Foundation Model for Financial Time-Series Forecasting cites this paper.
FinCast: A Foundation Model for Financial Time-Series Forecasting ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd6911da-b306-490d-9a89-8e6fcc25d1b3 · inbound
Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant cites this paper.
Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b2b9762-6f96-49d3-b678-3b04a036a18f · inbound
Cosine-Similarity Routing with Semantic Anchors for Interpretable Mixture-of-Experts Language Models cites this paper.
Cosine-Similarity Routing with Semantic Anchors for Interpretable Mixture-of-Experts Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e96c0f3c-af23-4319-b956-4ea3148a5890 · inbound
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 266
- Resolution
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- local_arxiv, observed 2026-05-16T13:58:58.742335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3456374b-a1d0-4b34-b43f-a80d160d0622 · inbound
SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads cites this paper.
SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2aff76a7-17f5-48a3-b9be-9c85a89b06fe · inbound
From Tokens to Layers: Redefining Stall-Free Scheduling for MoE Serving with Layered Prefill cites this paper.
From Tokens to Layers: Redefining Stall-Free Scheduling for MoE Serving with Layered Prefill ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 20
- Resolution
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- local_arxiv, observed 2026-05-18T08:51:08.934210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98c9651f-34bc-4af6-ac0f-7f45e6d1c032 · inbound
Selective Sinkhorn Routing for Improved Sparse Mixture of Experts cites this paper.
Selective Sinkhorn Routing for Improved Sparse Mixture of Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 2024
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4651ce0f-131a-450c-8beb-7c4644c6e450 · inbound
Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems cites this paper.
Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 5
- Resolution
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- local_arxiv, observed 2026-05-17T00:38:44.988074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7bb61d32-cfa6-4da4-839b-d4b39894f6fd · inbound
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training cites this paper.
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 63
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a7bcbda-5a33-44af-8f71-856774884516 · inbound
L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts cites this paper.
L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 13
- Resolution
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- local_arxiv, observed 2026-05-16T09:57:42.803764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cb329fa6-7011-4a67-926d-10da8b2f157e · inbound
OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale cites this paper.
OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec00082f-b64e-4827-a3c3-ec17fb0dd206 · inbound
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models cites this paper.
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72bf5afb-77d3-4ae0-af99-d779c209ab0a · inbound
A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs cites this paper.
A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a988af4d-8d88-4ae0-9fb0-2cf62b0d7055 · inbound
Grouter: Decoupling Routing from Representation for Accelerated MoE Training cites this paper.
Grouter: Decoupling Routing from Representation for Accelerated MoE Training ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d8214f1-1fe8-4330-ae9a-994db7daf915 · inbound
When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.
When Does Sparsity Mitigate the Curse of Depth in LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d003b137-f88f-4871-b56b-b6c8c0f0a9cb · inbound
Rethinking Language Model Scaling under Transferable Hypersphere Optimization cites this paper.
Rethinking Language Model Scaling under Transferable Hypersphere Optimization ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:53:02.447398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f529c584-1b2a-476f-aec3-bd1001a0608e · inbound
Does a Global Perspective Help Prune Sparse MoEs Elegantly? cites this paper.
Does a Global Perspective Help Prune Sparse MoEs Elegantly? ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa1f0886-eed5-4195-a152-ebe2f10a4e14 · inbound
Unified Deployment-Aware Evaluation of Open Reasoning Language Models cites this paper.
Unified Deployment-Aware Evaluation of Open Reasoning Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 21
- Resolution
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- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c3445105-fd4d-481b-b6a6-0c75cea51eaa · inbound
Unified Deployment-Aware Evaluation of Open Reasoning Language Models cites this paper.
Unified Deployment-Aware Evaluation of Open Reasoning Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T09:44:05.754848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8f9f0dd-7393-41fa-9fc9-a55bdeae1e53 · inbound
Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding cites this paper.
Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c824283-b3cc-4866-81e4-19d327a57e3d · inbound
Equifinality in Mixture of Experts: Routing Topology Does Not Determine Language Modeling Quality cites this paper.
Equifinality in Mixture of Experts: Routing Topology Does Not Determine Language Modeling Quality ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7013c5c4-21a6-424e-8043-e5ec3d4b365f · inbound
Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization cites this paper.
Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 883c12d5-b2ac-4510-8978-7ec874e72fa7 · inbound
Revisiting Auxiliary Losses for Conditional Depth Routing: An Empirical Study cites this paper.
Revisiting Auxiliary Losses for Conditional Depth Routing: An Empirical Study ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ddfa46a4-79e7-4931-b086-a1a2e78d76f6 · inbound
Teacher-Guided Routing for Sparse Vision Mixture-of-Experts cites this paper.
Teacher-Guided Routing for Sparse Vision Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e732b31-da43-4f50-9123-fcad2a12af8c · inbound
Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns cites this paper.
Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cac4c1f6-5e94-4cbe-81ed-baead987c091 · inbound
Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts cites this paper.
Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da6e6f46-33ad-48ac-a446-66acc6927832 · inbound
MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.
MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c6e8f99-1228-4a0b-93de-2549252a383a · inbound
MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.
MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:47:41.957786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e4ca4794-962a-4fc6-b2ca-389133e69688 · inbound
Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant cites this paper.
Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7c4c3554-aa3b-4448-ac47-fe0690924ca5 · inbound
UniPool: A Globally Shared Expert Pool for Mixture-of-Experts cites this paper.
UniPool: A Globally Shared Expert Pool for Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 24c41cb2-8475-43a6-95b0-fa06a3fd053a · inbound
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models cites this paper.
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 11
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e3c45406-37f3-4dcc-8298-a07bd711391e · inbound
Hierarchical Mixture-of-Experts with Two-Stage Optimization cites this paper.
Hierarchical Mixture-of-Experts with Two-Stage Optimization ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d68115f7-ef31-4fdb-9c5d-f4f68ad23c1f · inbound
SDG-MoE: Signed Debate Graph Mixture-of-Experts cites this paper.
SDG-MoE: Signed Debate Graph Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 217cec5c-a2a1-4335-bbf7-fc85ceb3822b · inbound
SDG-MoE: Signed Debate Graph Mixture-of-Experts cites this paper.
SDG-MoE: Signed Debate Graph Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T07:22:28.418888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d635bd5d-a60a-4a16-9ec5-31858db12d69 · inbound
Token Economics for LLM Agents: A Dual-View Study from Computing and Economics cites this paper.
Token Economics for LLM Agents: A Dual-View Study from Computing and Economics ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82837ec9-7e11-4098-aa64-1db03473ea3a · inbound
Sparse Layers are Critical to Scaling Looped Language Models cites this paper.
Sparse Layers are Critical to Scaling Looped Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a8545f5e-dea0-4647-b36b-3b57af46b590 · inbound
Sparse Layers are Critical to Scaling Looped Language Models cites this paper.
Sparse Layers are Critical to Scaling Looped Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T07:35:29.151888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f9b5c58d-1e3e-4944-9fee-d977edd757e7 · inbound
Mixture of Layers with Hybrid Attention cites this paper.
Mixture of Layers with Hybrid Attention ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:14:26.471193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 64db099b-4d8a-45c9-8246-e4578ab06037 · 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 ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:27:18.798680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fee3ff78-6395-40e0-81b1-87abae42afe0 · inbound
EMO: Frustratingly Easy Progressive Training of Extendable MoE cites this paper.
EMO: Frustratingly Easy Progressive Training of Extendable MoE ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T20:07:53.608925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3668db31-e3d6-43cc-b5b2-284a0e0100e7 · inbound
EMO: Frustratingly Easy Progressive Training of Extendable MoE cites this paper.
EMO: Frustratingly Easy Progressive Training of Extendable MoE ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:35:04.322452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 01316674-913b-4aaf-8299-e81185a2c67d · inbound
How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization cites this paper.
How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T04:49:44.723240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3166dffd-5b63-4d5a-8599-6d3f7ee66859 · inbound
When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing cites this paper.
When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T16:22:39.093259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a5d6afb3-30da-401f-8fb3-e256d8e2b37d · inbound
Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap cites this paper.
Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T23:49:15.487908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 30a1f700-48dc-442b-8706-5c3d466a7a87 · inbound
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models cites this paper.
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T19:08:54.316621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96295a3b-53fb-48ef-909d-f2ba70c01645 · inbound
A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE cites this paper.
A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T11:13:13.598892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c829acb5-e4a1-4193-a031-09d3858bdf29 · inbound
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 176
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T09:38:11.025209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40bacc92-8fb3-4b9b-9cad-3a30c2f15d29 · inbound
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 180
- Resolution
- malformed identifier
- local_arxiv, observed 2026-06-30T18:45:00.447358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb931bf2-bcc7-4da9-acf3-d330441d677c · inbound
Post-Trained MoE Can Skip Half Experts via Self-Distillation cites this paper.
Post-Trained MoE Can Skip Half Experts via Self-Distillation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T12:03:15.205078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c3adf2aa-0dab-4c29-b9fe-dcfdabcd2f19 · inbound
Post-Trained MoE Can Skip Half Experts via Self-Distillation cites this paper.
Post-Trained MoE Can Skip Half Experts via Self-Distillation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:25:00.058113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c7e7edb4-b327-41f3-be90-ffe3112b969b · inbound
Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts cites this paper.
Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T05:59:41.002103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ebaf8f7e-187e-462f-8b0d-635829ffb929 · inbound
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory cites this paper.
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T02:13:56.353818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5f446645-730a-4fff-aec3-44e58cf7f48e · inbound
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory cites this paper.
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:33:43.865248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a79f8b6-3377-4cbe-a8f9-214a787879f5 · inbound
Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models cites this paper.
Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:35:21.017868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba5fc112-5eff-4b48-a001-491575a9966e · inbound
RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry cites this paper.
RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T00:34:05.290483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ad8e7f9a-1bf7-4058-8dc8-dca74b01e782 · inbound
MobileMoE: Scaling On-Device Mixture of Experts cites this paper.
MobileMoE: Scaling On-Device Mixture of Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 69
- Resolution
- malformed identifier
- local_arxiv, observed 2026-06-29T18:53:51.377203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9c18fb57-d3c6-4e69-b869-cd2b7903b8c1 · inbound
A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router cites this paper.
A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T10:03:17.820226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c31551e4-1870-419f-b170-c3a0ee9d9e3c · inbound
Leveraging Routing Dynamics in Mixture-of-Experts Models for Efficient Language Adaptation cites this paper.
Leveraging Routing Dynamics in Mixture-of-Experts Models for Efficient Language Adaptation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 2
- Resolution
- malformed identifier
- local_arxiv, observed 2026-06-29T07:33:13.341204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cebde98a-6141-4783-b1bb-9631190cec67 · inbound
Mellum2 Technical Report cites this paper.
Mellum2 Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:02:46.526886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 89f3cfd1-45ec-4919-ac7c-6fa3050611d6 · inbound
Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models cites this paper.
Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:26:00.076019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 71276e9d-873e-444b-b15c-d09e760e9f08 · inbound
Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.
Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:06:14.811901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 504d5230-ce26-48cb-b5ba-ab4bdb7cce91 · inbound
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts cites this paper.
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T21:16:14.426688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation daa1af65-2e43-490d-b2c1-e47c8861c095 · inbound
Schedule-Level Shared-Prefix Reuse for LLM RL Training cites this paper.
Schedule-Level Shared-Prefix Reuse for LLM RL Training ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:36:15.139447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0b16b90c-cd8d-4f7b-b84a-e2137acceb7d · inbound
Bridging Multimodal Fusion and Expert Routing via Spectral Reliability Descriptors for Robust Object Detection cites this paper.
Bridging Multimodal Fusion and Expert Routing via Spectral Reliability Descriptors for Robust Object Detection ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T21:06:14.704945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 643e76db-f877-4784-b91d-239f503da702 · inbound
Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs cites this paper.
Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:16:16.193312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e0e10ca-b6bc-4994-8109-d25a997db8df · inbound
DOT-MoE: Differentiable Optimal Transport for MoEfication cites this paper.
DOT-MoE: Differentiable Optimal Transport for MoEfication ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T22:16:16.871409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8176d94b-363b-4f2a-90ec-55d75e4c8346 · inbound
Dead Directions: Geometric Singular Learning cites this paper.
Dead Directions: Geometric Singular Learning ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T11:36:55.220216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a70b6f45-6bd8-4b8b-8792-779e1eee5532 · inbound
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 199
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T01:07:30.151835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 394abdd7-54b3-4080-9943-387398e2fff4 · inbound
Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes cites this paper.
Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T00:17:29.343222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7806b32e-a81c-4bf1-9514-26d4adc8068b · inbound
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 82
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.645023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 18ea6396-a373-4726-b911-41f8a93da109 · inbound
SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs cites this paper.
SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T19:08:50.551554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 51745c41-ebb0-4bff-ba82-c6ddeafc875b · inbound
MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts cites this paper.
MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T07:39:38.930459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7ea1e7f-eed7-47c9-a8db-fbe42f46d9db · inbound
Sakana Fugu Technical Report cites this paper.
Sakana Fugu Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 221
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T06:29:38.254281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e24b3df-a49d-4090-9189-7cfb8642b5a4 · inbound
Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.
Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T06:39:37.835952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93b6c390-a2c0-4ea1-9390-8d1ea24fa08d · inbound
ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling cites this paper.
ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 39
- Resolution
- malformed identifier
- local_arxiv, observed 2026-07-01T09:45:40.099562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 24d06b4a-55c6-411a-bcd6-587d334f92b3 · inbound
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 94
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T12:26:56.195693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 824a20b1-8931-4e27-abdc-6590df53fbb5 · inbound
PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks cites this paper.
PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:40:49.755070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a43205cb-f2bf-4834-9110-62da85b0a662 · inbound
TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation cites this paper.
TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T03:27:46.886389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.