Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:16:36.724406Z
Paper Citation Record · LEDGER
Enhancing Graph Representation Learning with Localized Topological Features
As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.09178.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact2
- verified fuzzy6
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f3a4462e-fb6b-4363-ace8-0fc87689202d · outbound
This paper cites Link Prediction without Graph Neural Networks.
Enhancing Graph Representation Learning with Localized Topological Features Link Prediction without Graph Neural Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:36.685222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4d691c6-7de9-4556-8857-dc192b137bb8 · outbound
This paper cites Chien-Chun Ni, Yu-Yao Lin, Jie Gao, and Xianfeng Gu.
Enhancing Graph Representation Learning with Localized Topological Features Chien-Chun Ni, Yu-Yao Lin, Jie Gao, and Xianfeng Gu
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.876533Z
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 c27a3d34-b1f2-4608-bafe-fa561d4a9e82 · outbound
This paper cites A limit theorem for the $1$st Betti number of layer-$1$ subgraphs in random graphs.
Enhancing Graph Representation Learning with Localized Topological Features A limit theorem for the $1$st Betti number of layer-$1$ subgraphs in random graphs
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T20:16:36.787590Z
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 cbd6f048-dd22-4b0d-9395-49e4eeb6c2ba · outbound
This paper cites Topogan: A topology-aware generative adversarial network.
Enhancing Graph Representation Learning with Localized Topological Features Topogan: A topology-aware generative adversarial network
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.863976Z
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 0b37162a-7720-4c96-94f3-af5b1b9cc386 · outbound
This paper cites doi: 10.1016/S0195-6698(80)80030-8.
Enhancing Graph Representation Learning with Localized Topological Features doi: 10.1016/S0195-6698(80)80030-8
Reference 1980
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:36.661362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8777bdb6-9e66-4f55-9dcd-eb7f2cb0750e · outbound
This paper cites Jin-Yi Cai, Martin F¨ urer, and Neil Immerman.
Enhancing Graph Representation Learning with Localized Topological Features Jin-Yi Cai, Martin F¨ urer, and Neil Immerman
Reference 1982
- Resolution
- verified exact
- doi, observed 2026-08-10T20:16:36.762183Z
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 a42d4c80-462d-4f76-a71a-8f2b342d782a · outbound
This paper cites Pitfalls of Graph Neural Network Evaluation.
Enhancing Graph Representation Learning with Localized Topological Features Pitfalls of Graph Neural Network Evaluation
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:36.705300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 326d34dc-6623-49c9-9fb8-945c087104a8 · outbound
This paper cites Persistence weighted gaussian kernel for topological data analysis.
Enhancing Graph Representation Learning with Localized Topological Features Persistence weighted gaussian kernel for topological data analysis
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.905795Z
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 140f6ab5-8c7f-46c5-8337-8c2340b4133d · outbound
This paper cites Ripsnet: a general architecture for fast and robust estimation of the persistent homology of point clouds.
Enhancing Graph Representation Learning with Localized Topological Features Ripsnet: a general architecture for fast and robust estimation of the persistent homology of point clouds
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.932499Z
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 d77f2004-7333-4d0a-8860-2847cb0a4d86 · outbound
This paper cites Graph u-nets.
Enhancing Graph Representation Learning with Localized Topological Features Graph u-nets
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.918879Z
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 1173672a-69ea-4d6d-9083-dd547744bd7e · outbound
This paper cites Wasserstein Stability for Persistence Diagrams.
Enhancing Graph Representation Learning with Localized Topological Features Wasserstein Stability for Persistence Diagrams
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:36.709934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db292172-4480-440b-a9ea-e90b00650f65 · outbound
This paper cites The density of expected persistence diagrams and its kernel based estimation.
Enhancing Graph Representation Learning with Localized Topological Features The density of expected persistence diagrams and its kernel based estimation
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:16:36.851131Z
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 19b0fd9a-0aad-4942-b77e-7ca79689697e · outbound
This paper cites Notes on an Elementary Proof for the Stability of Persistence Diagrams.
Enhancing Graph Representation Learning with Localized Topological Features Notes on an Elementary Proof for the Stability of Persistence Diagrams
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:16:36.714876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b318fcbf-39ca-4c0a-b30b-bdc5505addcc · outbound
This paper cites Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe.
Enhancing Graph Representation Learning with Localized Topological Features Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:16:36.891721Z
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.
Pith citing papers
No inbound Pith citation observations are available.