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Paper Citation Record · LEDGER

Mixture of Experts (MoE): A Big Data Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.16352.

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

pith.paper-citation-record.v1
2501.16352 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:09.882800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:59:40.980724Z

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 0b3d66c9-629a-4f0a-b757-1d14139289b9 · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Mixture of Experts (MoE): A Big Data Perspective

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:09.882800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:09.882800Z digest=sha256:39b79ae240b73a782cb78a71d971eb585a161beced457584317972c74728f37d

Observation ee30d655-4621-4103-978c-a31c66954ba7 · inbound

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning cites this paper.

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning Mixture of Experts (MoE): A Big Data Perspective

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:02.563039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:02.563039Z digest=sha256:5d300d693b27ecfdbdf034e47577e3721bea6a2cc97ffbae079a0b08d1960886

Observation 02110dcf-dd8e-45a6-9bb5-229940092f38 · 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 Mixture of Experts (MoE): A Big Data Perspective

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:59:40.982659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:56:18.498128Z digest=sha256:3a62f8cdbcb01b21d878943b517b23d47c04b332356aac5ffac9a012695d7b69