Pith. sign in

Paper Citation Record · LEDGER

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.20853.

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

pith.paper-citation-record.v1
2505.20853 v4

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:28.348590Z

measured 17 of 17 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:15:49.107365Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2edb7b3-a6a2-4ef7-be54-0bff9dfe1282 · outbound

This paper cites It is evident that |gq| ≤1, |δmp| ≤1, and |S(Θg)pgq| ≤1.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin It is evident that |gq| ≤1, |δmp| ≤1, and |S(Θg)pgq| ≤1

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:29.393876Z

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=2026-08-07T13:54:28.348590Z digest=sha256:d41a17243a7581d64f36e586b5463efe64558a2e0b02c0a720d44dcbdca74221

Observation 49a7c973-268f-41f4-958a-d5711c135555 · outbound

This paper cites Hdmi: High-order deep multiplex infomax.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Hdmi: High-order deep multiplex infomax

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.431862Z

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=2026-08-07T13:54:27.164316Z digest=sha256:ebeb92a722a64e5fa05679f73d9594734808b6b2047094da199d869387526e57

Observation c7dddf54-7242-403d-b358-6c45cbf9fbfc · outbound

This paper cites We also select 4 multimodal datasets where the topological structure is not given.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin We also select 4 multimodal datasets where the topological structure is not given

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:29.548409Z

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=2026-08-07T13:54:28.290715Z digest=sha256:01cff467c6089eaffc03a110b2e09bec57f69e2c4fe70cc1be5c019fd0730142

Observation d7d073d4-e3e2-4175-ab3a-ccd578495992 · outbound

This paper cites Towards unsupervised deep graph structure learning.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Towards unsupervised deep graph structure learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.138650Z

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=2026-08-07T13:54:27.484541Z digest=sha256:4f474c9a1ebcc2c463d56e6dd884861aeb77c8c60da8fa7c07c07cc855f84fa3

Observation e446ced4-7377-4df0-9d9f-c897d6922e9e · outbound

This paper cites Graph structure estimation neural networks.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Graph structure estimation neural networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:29.953986Z

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=2026-08-07T13:54:27.665492Z digest=sha256:b9ee12de89b7dbbef3a11d2e6f62772e934dcd99b855bda88624527c2ce61ca7

Observation eb33671e-86fc-4eea-8d99-71988061e8c6 · outbound

This paper cites Graph- revised convolutional network.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Graph- revised convolutional network

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:29.696896Z

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=2026-08-07T13:54:28.102595Z digest=sha256:9ad73aa64fec8d31e1c0d4c73d1214e0e3edc67343a3fc694d2cc08b0c80389f

Observation ea802234-20a1-4a99-b85a-95a14b86bc2d · outbound

This paper cites A Margin-Maximizing Fine-Grained Ensemble Method.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin A Margin-Maximizing Fine-Grained Ensemble Method

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:54:28.691751Z

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=2026-08-07T13:54:28.185073Z digest=sha256:c894776a072f6ad824d6137d20d3b2d67b58feb4729e23d897fc458f477e5016

Observation 14ad1517-b7fe-4222-8752-6f6dcac5a71a · outbound

This paper cites an unresolved cited work.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Unresolved cited work

Reference 2015

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:54:29.857858Z

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=2026-08-07T13:54:27.848776Z digest=sha256:00884aec622f921170a874a4a5e854753574230e99aa7e35ae7871a4fed69e86

Observation a9fb52b8-4749-40f3-b056-5d5907519b01 · outbound

This paper cites Pc-conv: Unifying homophily and heterophily with two-fold filtering.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Pc-conv: Unifying homophily and heterophily with two-fold filtering

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.291513Z

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=2026-08-07T13:54:27.310210Z digest=sha256:661401defd9368f28a3a02bbdd26b7b5524309b2872efbae28559bd2d0a4b782

Observation a11ec5ca-59e1-4df6-982a-425c749738ad · outbound

This paper cites Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.975458Z

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=2026-08-07T13:54:26.985363Z digest=sha256:6646d44591a6132aa5917f55203a664c2777b30f833a15361c0d34218c676203

Observation e5208599-77d8-4df2-bf8a-7b793f74724f · outbound

This paper cites Addressing heterophily in graph anomaly detection: A perspective of graph spectrum.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Addressing heterophily in graph anomaly detection: A perspective of graph spectrum

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.761715Z

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=2026-08-07T13:54:27.038187Z digest=sha256:6f20f94c19a6c0e93d2eab567c9da07aeb6bae654c8aacd86564fed070d0729c

Observation e23b0261-bd52-4832-8160-1156fbd82504 · outbound

This paper cites Learning robust representations via multi-view in- formation bottleneck.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Learning robust representations via multi-view in- formation bottleneck

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:31.142452Z

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=2026-08-07T13:54:26.898895Z digest=sha256:4d82c33009bf703973ad0a1855e0251063029f480a550034f7f89fdf2d596dfc

Observation fdc667b7-e7e8-4981-ab4b-f125b3bd38b3 · outbound

This paper cites GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:54:29.160282Z

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=2026-08-07T13:54:27.424589Z digest=sha256:e27d536fcfeab2fd2c4b5e6ba853e4b116757cf1aebd9fbaa19a948c999341d2

Observation 1cc89058-74e1-4699-8efd-4d9d359a182e · outbound

This paper cites an unresolved cited work.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T13:54:27.943943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:27.943943Z digest=sha256:cf8e96d3517b98606e5188f3ef6a4d63aea1685b6d8c41d9ff6a256896c0856d

Observation 568337a3-2bbd-4c5a-ad1a-542662732ed0 · outbound

This paper cites Multiplex graph representation learning via bi-level optimization.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Multiplex graph representation learning via bi-level optimization

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:54:30.580863Z

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=2026-08-07T13:54:27.084576Z digest=sha256:fdc7e53fc0dfb80bfb97a42f58b2ae10295717a1bdc186aaa8c660aa47e50f8a

Observation 64aece04-b877-4219-b000-b5eb88643ba1 · outbound

This paper cites Mixture of Experts for Node Classification.

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Mixture of Experts for Node Classification

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:54:29.008426Z

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=2026-08-07T13:54:27.521308Z digest=sha256:ff0cf3698002df142fa2925acc7a5f1236ddaf0cb94331b18bb366188665d585

Pith citing papers

Observation 6688bddd-6953-4775-9727-e8d1ef71a682 · inbound

Hadamard-Riemannian Optimization for Margin-Variance Ensemble cites this paper.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T18:15:49.107365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:15:49.107365Z digest=sha256:a4304bb170ceb7d5be04523c11f7e5777d7c74721102bc96f3307480ae8e385d