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Paper Citation Record · LEDGER

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:28.348590Z digest=sha256:7c28e2dedb3aa33ca580313ca58678796c2fef21517d96e2b16266b94a8cf8cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.164316Z digest=sha256:6c117beda9acde7f3de403a59827333410a987fdbacd3a1c0acddfdf644b9a89

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:28.290715Z digest=sha256:b803fe48e216c6cb31730614ed4bec18a65c195dc1b3b5968c256533311a170a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.484541Z digest=sha256:c950a4b1796ca3a5e481e858ce4c7c2093a911f3f456d2eb3d613cfa8a9cf088

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.665492Z digest=sha256:4a1f73d75e396db111743549ee78aa9ba3eb9938e74d38be900c188e39ec946f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:28.102595Z digest=sha256:74fcc630aefeadae03e355f0afa7a99d3d87cb3fd94fa8619fe32b0deff4c82f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:28.185073Z digest=sha256:5e070f2b199c3fdbf76405e3104048f54055681d0d5b4f1532daeefc151d0966

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.848776Z digest=sha256:14c9f63791c37174fd464ebbb0aaef441075fa6b7f150a3200d4a2d8c20b4e39

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.310210Z digest=sha256:f6634bc9f4c5defacb176e8e4e09d78245cd1228df32f420805035fba8d16029

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:26.985363Z digest=sha256:0f0d1842112e44aaf8cef73db4270a29cdfbd921d866a9ded885f3f3693ce4a1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.038187Z digest=sha256:10f3e3feb1ba1cf09546d0e74b7e6a40d810b2827070457c8b260f1e8f2b05d0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:26.898895Z digest=sha256:213acfe01ede1d1bf24e2e116d55e742a67f9486efda4628d2466beab40c5318

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.424589Z digest=sha256:329c777b90171ff7b2c66f652f5fb8d5f2d97689cec968733168ca6d53d5fd19

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=sha256:56bfa273ece7142345d64c295e8cfc056c3e8314dffdfd2d25f01ac739aca51a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.084576Z digest=sha256:d7573b61ae92cd3ecf4053307469ba1f972266842b0f26d32e61e08f5b8f5bc3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:54:27.521308Z digest=sha256:a3ca532c1a942777750fbadc4c5aa786c2d2fcf4b40bd298958951b2b32b0b2a

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:dd5e7b9d7327a0467920e2011b4329a0e7b0d2799437b40e0f99512f450713b0