Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.10814.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:38.901223Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:59:51.653811Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 21325ef4-48fc-446e-b156-c05c3f7bf882 · inbound
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training cites this paper.
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:38.901223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970b216e-bf6d-4868-a1c3-aa7efe0d6b62 · inbound
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features cites this paper.
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:24:06.698630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dc3f108-bd2a-4f17-8b4b-a708ec32b198 · inbound
LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.
LLMs are Also Effective Embedding Models: An In-depth Overview Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:59:01.745748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6a23bff-c653-4453-af4b-4e238e4ecb09 · inbound
Training Sparse Mixture Of Experts Text Embedding Models cites this paper.
Training Sparse Mixture Of Experts Text Embedding Models Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:20:23.650682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e55ed76-1e29-4eb2-9450-f90455ede7fd · inbound
ORI: O Routing Intelligence cites this paper.
ORI: O Routing Intelligence Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:40:07.609676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e5b5236-8c58-4772-a91a-c7597d47907c · inbound
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:16:27.790734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c05b7aee-3340-4542-bd3c-7c545532fab6 · inbound
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:18:25.166188Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 041d7761-56f6-4aac-bcf9-b37fbaa20d19 · inbound
GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture cites this paper.
GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:54:25.205882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16c5c855-997c-46f1-a7ea-85d38f328d70 · inbound
MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.
MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:09:41.545861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30cadabc-ddc5-4868-9062-92e8b27b321a · inbound
FreeRet: MLLMs as Training-Free Retrievers cites this paper.
FreeRet: MLLMs as Training-Free Retrievers Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:01:23.466681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26fba614-591f-48ed-8ef3-7fa053f843ee · inbound
FreeRet: MLLMs as Training-Free Retrievers cites this paper.
FreeRet: MLLMs as Training-Free Retrievers Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:51:45.593825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef86f980-9d7c-4e0c-a8a2-de15c80d46b8 · inbound
Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression cites this paper.
Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:50:28.006100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1891de3a-35c9-4919-b431-4e56243b726a · inbound
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning cites this paper.
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T13:59:51.655419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6cb3a97f-3fc7-4121-ad54-3e90552c1702 · inbound
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning cites this paper.
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T19:13:53.369413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.