Paper Citation Record · LEDGER

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

As of 21 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 4 inbound Pith citation observations for arXiv:2505.17553.

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

pith.paper-citation-record.v1
2505.17553 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:36.323428Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:55:28.826327Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:20.880296Z

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy3
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d0c211c-c74e-46c2-ac8b-6a5228aef881 · outbound

This paper cites Obtain the individual expert outputs {/(x)}7_), each with dimen- sionality E;(x) € R?.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Obtain the individual expert outputs {/(x)}7_), each with dimen- sionality E;(x) € R?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:52:37.247305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0e937eb-f636-4ba3-895e-9cf96138cc74 · outbound

This paper cites Uniformly sample anindex C Datasets r from {1,...,&}.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Uniformly sample anindex C Datasets r from {1,...,&}

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:52:37.080068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 787230a3-e4f1-4a26-bd79-d83529297491 · outbound

This paper cites Negative set.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Negative set

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:52:36.891580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14cac86f-d418-41f2-8805-e7db1a468204 · outbound

This paper cites That means four times the number of coffee mugs in the teacher’s lounge is 40 — 8 = 32.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning That means four times the number of coffee mugs in the teacher’s lounge is 40 — 8 = 32

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:52:36.743159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8a8bea9-d347-45c2-8110-36ec8a0ed490 · outbound

This paper cites Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression

Reference 2015

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:52:36.542146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f67fc72-6b49-4dd0-90be-64aec6fd1a9c · outbound

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

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:35.969684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca52173e-b6ca-4c20-a313-e862ce9eedac · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:35.842146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 88b3a77b-7faa-477e-84ed-2a2e8063aea2 · inbound

Mixture of Raytraced Experts cites this paper.

Mixture of Raytraced Experts CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:55:28.826327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580c4438-04c4-4885-849d-738e3e183da1 · inbound

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs cites this paper.

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:13.690598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 964a4575-8260-4beb-942a-9519810491e4 · inbound

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning cites this paper.

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:20.881645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82bfb2d8-0bdf-486f-bd55-1f5df7fbf691 · inbound

Does Role Specialization Matter for Explanation Faithfulness in Mixture-of-Experts? cites this paper.

Does Role Specialization Matter for Explanation Faithfulness in Mixture-of-Experts? CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:14:20.809531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.