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Paper Citation Record · LEDGER

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

As of 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:28.348590Z digest=sha256:1c7e08ab6c3352a73ae6226abd16b94977952aa57c7465cc833bf18159cebb89

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.164316Z digest=sha256:bc2e869ed66fc2810216e46521518963cb9b2339da2d8faf8afc83a457ce0de0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:28.290715Z digest=sha256:d0c8f8747409f02a05931a322e250883f6cddf998325b18b54f827726343092f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.484541Z digest=sha256:eb0abf5b62bb8400f2b6215026c98770ff04bacfa517fe67c118285af98b1b89

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.665492Z digest=sha256:42b2fa81f15e5738f93cad1c646cc2aa79447231fe723c6ee787cda66dfe92ed

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:28.102595Z digest=sha256:60a9f4ae388f3c240b644641f497a2ab5b9339ebc7dab731498ce88d86110daf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:28.185073Z digest=sha256:1e58ae5b3a3a956bf190268b8fe02d18a36601bd20afb90e17ef1e8051dab521

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.848776Z digest=sha256:ea1f31ea026861f389b74791fcca1d5f69f3232a395ac150306184d9b937fa5a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.310210Z digest=sha256:15afe2203310b5b9ff57870ad9ad93faf2cb845c095c303e70b774133ec3e823

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:26.985363Z digest=sha256:3f7247b495f99d81255b44d5230f4c539c5f1af0f91edd8c4dfe5c8fcec2ae93

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.038187Z digest=sha256:c261ae7aaa076597fed3324a05d09069af4b32ecac4d291eea6c9fb6b433e554

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:26.898895Z digest=sha256:1718c0867a98886f3648178e5ffc2e3a8b174a046797fff5f4b9a183b91633f2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.424589Z digest=sha256:7df5b8bfc47e5e2151d92dffe12da96683ec5b4a31428ff3a8e0835d66a0a71e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.084576Z digest=sha256:98b5862ce0970fc1897cd079dc7b737de15abcdccbb419bfe5ad3ae5d413d7b3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:54:27.521308Z digest=sha256:44fe89f6d0da39a4960a0b1864f79af00b819fe7b2c215b3286b8461630f9a25

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=sha256:76fa30063f34899cdb9dcf5391799a1585ef9f60d49ec8600c1e177341ee478a