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Paper Citation Record · LEDGER

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.09762.

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

pith.paper-citation-record.v1
2310.09762 v2

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:34.682826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.759558Z

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 621dc4d0-93ac-4c44-ae06-5368ef565309 · inbound

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts cites this paper.

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:34.682826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:34.682826Z digest=sha256:18f88ac26ab28c3ecc9ebf4e249f98a07fbaaf2d40d6c01cd67df756c87ec806

Observation 966e4d63-3de0-442e-93b5-7c017d20498f · 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 Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:27:18.815636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:20:32.087436Z digest=sha256:71a74b4682b3367e8fbe5e1671b787c32674673e195e3c32e822a0395429db51

Observation 8ce28c5d-bd69-4492-85d5-1b57f656099a · inbound

Toward Calibrated Mixture-of-Experts Under Distribution Shift cites this paper.

Toward Calibrated Mixture-of-Experts Under Distribution Shift Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:59:33.761261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T17:22:41.410292Z digest=sha256:8910ab8fdf4e0d94f7f57e8c76f2392544d351b48a90d0df4664d5c155dcfc30