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Paper Citation Record · LEDGER

Unified Scaling Laws for Routed Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.01169.

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

pith.paper-citation-record.v1
2202.01169 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:57.728870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:46.443329Z

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 6596db79-f720-4508-bf26-ec6c578637e8 · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:d87237a6309096b2dfcfa870914a97dd59ce088594f8b181f2c06d6a92515870

Observation 6c5c04c0-114f-4b1d-b2e7-e13f50b7573b · inbound

Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights cites this paper.

Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights Unified Scaling Laws for Routed Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:57.728870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:57.728870Z digest=sha256:e47bf6f82813fdf8cbecf42a064585f7ffc05402c0927a75159aff3021128a37

Observation 16d03c9c-c7c2-4aa9-aa1f-1ee7e87f84a4 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Unified Scaling Laws for Routed Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.851946Z

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=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:b724fcb63875ab97f072330d0d59d727c21a6d2d0263fbfde930fb09e5f8bde0

Observation 34ff5859-aeb5-41b2-86ff-da3779cdfef9 · inbound

Maximum Score Routing For Mixture-of-Experts cites this paper.

Maximum Score Routing For Mixture-of-Experts Unified Scaling Laws for Routed Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T19:23:14.375497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:23:14.375497Z digest=sha256:39de7ce1f929f551194c8cd7dd575a2d7586ff0fbaa7857293fadc965eee31f5

Observation 465509b5-9306-452a-bc62-db3f548e886e · inbound

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts cites this paper.

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts Unified Scaling Laws for Routed Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:26:09.351288Z

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=2026-05-08T11:56:21.623709Z digest=sha256:f5662bb5473e51a5d2d15e58619f197434782deeeb48094e6fa254f71217bfa9

Observation 7d1f21c9-ae00-41bf-bcae-d2c4856602fd · inbound

Mellum2 Technical Report cites this paper.

Mellum2 Technical Report Unified Scaling Laws for Routed Language Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:02:46.445043Z

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=2026-06-28T22:58:35.397914Z digest=sha256:5f619cef0f6f0d2103ac1e97812edf5609165e62784f3f20e8182723f7b0d9c9