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Paper Citation Record · LEDGER

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts

As of 24 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2601.02144.

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

pith.paper-citation-record.v1
2601.02144 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:41:26.024757Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 026a396d-bc20-4320-afdf-dedcdbc0bef3 · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.394894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.394894Z digest=sha256:7cb19df36f37a71c99cb51d9b7c1e06e7578f217f93220ce248fe14f576a0dad

Observation 49a33822-af04-43b0-bff3-a1fd7057a32a · outbound

This paper cites InProceedings of the 34th Inter- national Conference on Neural Information Process- ing Systems, NIPS ’20, Red Hook, NY , USA.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts InProceedings of the 34th Inter- national Conference on Neural Information Process- ing Systems, NIPS ’20, Red Hook, NY , USA

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.466555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.466555Z digest=sha256:e604a3f1cea24cec6a6367b007b0b2fbba3e8d7ddcce14846c7c2e86361ff43b

Observation 73bada9d-c954-4f1c-a90f-13f18fcd25e5 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts OLMoE: Open Mixture-of-Experts Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.566005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.566005Z digest=sha256:7e9394324638e477fbfbfaa6aa460877bf7715f840e2972a217507fe38e4c0c9

Observation bc3df305-2e97-4a17-b471-bb831e26176b · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts gpt-oss-120b & gpt-oss-20b Model Card

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.634853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.634853Z digest=sha256:503deb1fb6342520fdb1fcf39e7e96735781c855b1ceaf4ddb3c36c78070360b

Observation 92b08196-354b-47da-a98f-0259b3ad0626 · outbound

This paper cites an unresolved cited work.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.741165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.741165Z digest=sha256:0ad74e8a0704e7381ad3fa100e299a02147dda46c1bf9a31aaf201e7922cd5c9

Observation 90308114-b55f-4444-b5c7-88d9208c49bc · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.803051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.803051Z digest=sha256:a6e233582bdabfa220309184d776200c3be7b7c5c1a26ac12d47e908c46a6fe5

Observation 46f4edef-1efb-45f7-bd37-4c2cc64dd767 · outbound

This paper cites Qwen3 Technical Report.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Qwen3 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.904916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.904916Z digest=sha256:0f0bff539bdb8552e09718a8df2ce43c9900917888ce13999a19494874bf6a3c

Observation 9d3c6a82-f78e-4ea9-8227-95f778c1fbf3 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:26.024757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:26.024757Z digest=sha256:0d519f0e107f2fe5ccd4262276cc628b29227d55d63c31c0e478bb882417076d

Observation 07248504-4282-4288-9fa3-c52d1be58da6 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.683989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.683989Z digest=sha256:5fd81842033c218f7abec4ecc6eb75b12761cde3d2ac3ed88e511bd17f8da8c1

Observation e9cf2815-bd7e-4094-bd1c-e82060a643cd · outbound

This paper cites InProceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20, Red Hook, NY , USA.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts InProceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20, Red Hook, NY , USA

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.172446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.172446Z digest=sha256:2b3d8d9605ba9f93c94e1d2eb6b60eb7328d5ca7860ac34766b240dc082950a6

Observation 61c279e4-5bda-4c77-85e9-6b71b0847606 · outbound

This paper cites Mixtral of Experts.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Mixtral of Experts

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.325380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.325380Z digest=sha256:7d7522bcbdc333049230e1ce75d9005a65cabedfdbcb8ca3ef1d1bf508c72640

Observation d735fd65-d8b4-40a1-82f3-ca146fc65911 · outbound

This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 33679–33694, Suzhou, China.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 33679–33694, Suzhou, China

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T12:41:25.243981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.243981Z digest=sha256:387f1708c739efb1803f8a9a033dbfa98774e503f6e55412507b07fa212820b8

Pith citing papers

No inbound Pith citation observations are available.