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Paper Citation Record · LEDGER

Hgformer: Hyperbolic Graph Transformer for Recommendation

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2502.15693.

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

pith.paper-citation-record.v1
2502.15693 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:14:03.455219Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:54:48.951027Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact3
  • verified fuzzy29
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 117ea333-3c42-4e36-a5a9-53c6ab64e6f5 · outbound

This paper cites Wide & deep learning for recommender systems,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Wide & deep learning for recommender systems,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4e72b02f-08f1-4e64-a787-edc42a2dcea1 · outbound

This paper cites The youtube video recommendation system,.

Hgformer: Hyperbolic Graph Transformer for Recommendation The youtube video recommendation system,

Reference 2

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raw_fallback, observed 2026-08-10T23:14:04.159616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5a110865-a225-485c-afcd-1aa2c31e3714 · outbound

This paper cites Edgerec: recommender system on edge in mobile taobao,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Edgerec: recommender system on edge in mobile taobao,

Reference 3

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raw_fallback, observed 2026-08-10T23:14:04.144630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9262e38c-f351-4436-b17c-ce1e55090da3 · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

Hgformer: Hyperbolic Graph Transformer for Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.250950Z digest=sha256:51a51e7434aa8d351aca82b6dc24ed562aa9df06472c5d261a6db7e42e8d1841

Observation 399f1194-692b-4536-b3fa-64d72da8dc37 · outbound

This paper cites Deep matrix factorization models for recommender systems.

Hgformer: Hyperbolic Graph Transformer for Recommendation Deep matrix factorization models for recommender systems

Reference 5

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raw_fallback, observed 2026-08-10T23:14:04.128699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 56dc65e6-5534-4270-aac1-f34ccb106420 · outbound

This paper cites Spectral collaborative filtering,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Spectral collaborative filtering,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4dbaa91c-f7b2-4dff-8b11-f8fdc2870d42 · outbound

This paper cites LightGCN: Simplifying and powering graph convolution network for recommenda- tion,.

Hgformer: Hyperbolic Graph Transformer for Recommendation LightGCN: Simplifying and powering graph convolution network for recommenda- tion,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.269159Z digest=sha256:58a99bcf2c263eb93d0cced0f884481db864f1ccf75fdb1ef9a9bac9ea23a4d0

Observation 62746876-f786-475a-ab8c-5960c08b5bff · outbound

This paper cites Neural graph collaborative filtering,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Neural graph collaborative filtering,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f832b18e-c45a-4022-a157-407434ec5fb2 · outbound

This paper cites Hgcf: Hyperbolic graph convolution networks for collaborative filtering,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hgcf: Hyperbolic graph convolution networks for collaborative filtering,

Reference 9

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raw_fallback, observed 2026-08-10T23:14:04.065953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b0a60710-7719-4171-baa9-3e8783998cfb · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Hgformer: Hyperbolic Graph Transformer for Recommendation Semi-Supervised Classification with Graph Convolutional Networks

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24ca4ffb-07a3-4313-93ff-23bf4132ad37 · outbound

This paper cites Inductive representation learning on large graphs,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Inductive representation learning on large graphs,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ffb49d8e-cd0b-4e2a-bddc-7f1da5657d61 · outbound

This paper cites The long tail of recommender systems and how to leverage it,.

Hgformer: Hyperbolic Graph Transformer for Recommendation The long tail of recommender systems and how to leverage it,

Reference 12

Resolution
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raw_fallback, observed 2026-08-10T23:14:04.036011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6ad73e2f-900e-40ec-a463-3e6a1541fb2d · outbound

This paper cites The adaptive clustering method for the long tail problem of recommender systems,.

Hgformer: Hyperbolic Graph Transformer for Recommendation The adaptive clustering method for the long tail problem of recommender systems,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5887b5be-39ae-4087-a828-242c2eeb06e3 · outbound

This paper cites Challenging the Long Tail Recommendation.

Hgformer: Hyperbolic Graph Transformer for Recommendation Challenging the Long Tail Recommendation

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.305673Z digest=sha256:62cbd85b1b0c8babe205337804e6ea91a6a60b270379f5a8d89d7d3b9a95f516

Observation b5cefdf7-8e7f-4a5f-a248-97f0ce772fae · outbound

This paper cites Alleviating the long-tail problem in conversational recommender systems,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Alleviating the long-tail problem in conversational recommender systems,

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T23:14:04.004168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.311011Z digest=sha256:27386edfca9fc858b7c00b0ca4b4cd78e9875033fd7f7bde661c198a0a85ddbf

Observation d42d23ad-c606-4e00-91a8-636da33a0d6d · outbound

This paper cites Hicf: Hyperbolic informative collaborative filtering,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hicf: Hyperbolic informative collaborative filtering,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 082e302d-3ff8-4de3-a93d-8c1931f996f0 · outbound

This paper cites On generalized degree fairness in graph neural networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation On generalized degree fairness in graph neural networks,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c4e98a14-b2f4-41a1-9f61-640780a709c4 · outbound

This paper cites Lte4g: Long-tail experts for graph neural networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Lte4g: Long-tail experts for graph neural networks,

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7ca068ba-1644-45d2-94d5-83db73e31a24 · outbound

This paper cites Do transformers really perform badly for graph representation?.

Hgformer: Hyperbolic Graph Transformer for Recommendation Do transformers really perform badly for graph representation?

Reference 19

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.937792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9dae8015-7fdd-4dd2-ac08-a2ff2d0c02c0 · outbound

This paper cites DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.

Hgformer: Hyperbolic Graph Transformer for Recommendation DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.337651Z digest=sha256:4b0a11a18a3c2635e74bdf3408d502dd7df3ec18218e41e2b64693050c7d02e0

Observation b1d7298a-bc6d-40aa-8bef-6f13d9bd04fa · outbound

This paper cites Simplifying and empowering transformers for large-graph representations,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Simplifying and empowering transformers for large-graph representations,

Reference 21

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.922218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.343355Z digest=sha256:2c25f589c33ebe4961e7b667bc6350247eaa5c6bc27a906dbe5bcf340e141337

Observation 0ded2887-50fa-4e0c-8b8f-cc1e3e3ac575 · outbound

This paper cites Nodeformer: A scalable graph structure learning transformer for node classification,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Nodeformer: A scalable graph structure learning transformer for node classification,

Reference 22

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.905585Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.348542Z digest=sha256:e670bae24c4c39414fff1f12212aca143e2f12e84505eadc05dfe00daa26b806

Observation 429f5f8e-d9a1-49b3-9f6f-83406e4de0a6 · outbound

This paper cites Hierarchical organization in complex networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hierarchical organization in complex networks,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.353903Z digest=sha256:7fad59a9e26fe1bb2a879b83788f760923dabc7001dd1e3c23556847397e4882

Observation 8265f4bc-d7ee-4352-b18e-405b6ebb4c5d · outbound

This paper cites Hyperbolic graph convo- lutional neural networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hyperbolic graph convo- lutional neural networks,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.359729Z digest=sha256:647968749c82f9b7dcd7a4a646c01ef60a0574dc4bcca878db4aebb368a1bf43

Observation 0fb22d91-9208-403e-be34-02385731385a · outbound

This paper cites Hyperbolic neural networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hyperbolic neural networks,

Reference 25

Resolution
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no resolver link, observed 2026-08-10T23:14:03.365605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.365605Z digest=sha256:574e9dfeada32afa7c8d63d53707d8e150fbcc7d9e8952fbf13f453131638319

Observation 29c02d8e-ed47-4ec6-b30a-72e360e7b7e5 · outbound

This paper cites HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.

Hgformer: Hyperbolic Graph Transformer for Recommendation HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation

Reference 26

Resolution
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local_arxiv, observed 2026-08-10T23:14:03.617662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.371908Z digest=sha256:bb8337627b5709b5b279cb5a6dfce238d4f1c69672627d06e99fb0369bcb1b27

Observation 1db9ccb5-79cc-4a0f-b903-d5be29f7d470 · outbound

This paper cites Hyperbolic Contrastive Learning.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hyperbolic Contrastive Learning

Reference 27

Resolution
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no resolver link, observed 2026-08-10T23:14:03.378223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.378223Z digest=sha256:ba828439d82e575859c1e5937a566a0fc4413242174d925bf079ec378d79d026

Observation fbf3ab01-8a67-47fa-b6f4-a7bdae9fa237 · outbound

This paper cites Hrcf: Enhancing collab- orative filtering via hyperbolic geometric regularization,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hrcf: Enhancing collab- orative filtering via hyperbolic geometric regularization,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.847226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.384354Z digest=sha256:a5c32f26dcaeba513914d62a56179a58cbdd150e3d988ea9c1dd05477aaa180a

Observation 85ebfad6-6e7d-4377-97bb-4e08957c540a · outbound

This paper cites Hyperbolic graph attention network,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hyperbolic graph attention network,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.829537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.389311Z digest=sha256:33a694258f2161a7d3551853b0092e8719b9cb65e61f2b0099483d16b31731a3

Observation 6c524327-4db3-4d10-8517-b2dccb673ff6 · outbound

This paper cites Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space

Reference 30

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no resolver link, observed 2026-08-10T23:14:03.394074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.394074Z digest=sha256:892a1a179a27a43a48eed7400d933b366e0a8f35d44ed582a9577defb78ef3d9

Observation 3ce99da8-6f7d-4ed8-8b7e-11c4d4c103fa · outbound

This paper cites Fully Hyperbolic Convolutional Neural Networks for Computer Vision.

Hgformer: Hyperbolic Graph Transformer for Recommendation Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 31

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no resolver link, observed 2026-08-10T23:14:03.399176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.399176Z digest=sha256:3574cdfc73f654d85237ceb764deb52ebb656864e0bb9eec1d54fedf1c864378

Observation 62aa3b77-60e4-4a7b-8b0c-d10a7d4098d1 · outbound

This paper cites Boumal, An introduction to optimization on smooth manifolds.

Hgformer: Hyperbolic Graph Transformer for Recommendation Boumal, An introduction to optimization on smooth manifolds

Reference 32

Resolution
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no resolver link, observed 2026-08-10T23:14:03.404293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.404293Z digest=sha256:6a63c51660ed5f4f69eef043afc345bf6f2766b3dc05ec8096a9392b876f63b7

Observation 9bf23474-7ed0-4dec-a8c9-9e0ffd7467a4 · outbound

This paper cites Neighbour interaction based click-through rate prediction via graph-masked transformer,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Neighbour interaction based click-through rate prediction via graph-masked transformer,

Reference 33

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.802953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.409127Z digest=sha256:d9196f0ba9c2a19efbe2dea0c42e8bf03998f0ae6a67f5b3974d9907c3a6ec91

Observation 6cb3beaf-0876-44f8-a0ad-19fd781dfdd1 · outbound

This paper cites Linear, or non-linear, that is the question!.

Hgformer: Hyperbolic Graph Transformer for Recommendation Linear, or non-linear, that is the question!

Reference 34

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raw_fallback, observed 2026-08-10T23:14:03.785779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.414129Z digest=sha256:837e6a5043bb9c0777e0d0d3d76556d8546ce4f38f6a1489c0224c31c13a8bb9

Observation 084bde95-cda0-4998-a957-eac047821a00 · outbound

This paper cites Fully Hyperbolic Neural Networks.

Hgformer: Hyperbolic Graph Transformer for Recommendation Fully Hyperbolic Neural Networks

Reference 35

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no resolver link, observed 2026-08-10T23:14:03.419306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.419306Z digest=sha256:e81ef0aa441a82d97a57b99ff194769bcd935dc1584fb1cbb63ab4442289fdce

Observation ce0ae2fc-7c97-40f9-a948-bcd75e50509d · outbound

This paper cites A hyperbolic-to-hyperbolic graph convolutional network,.

Hgformer: Hyperbolic Graph Transformer for Recommendation A hyperbolic-to-hyperbolic graph convolutional network,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.767936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.425180Z digest=sha256:972885c55bbbf0cce68e7627ef84836c7422bcf81c1d5a8294e62d2f5b5bf2e7

Observation ac37e385-0ec1-4cd8-9e9c-c7bf42bf7c27 · outbound

This paper cites Lorentzian graph convolutional networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Lorentzian graph convolutional networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.751184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.430118Z digest=sha256:0ccce02a80d4d6cac30d0de87787b41099c8c50f43555b8a82163296af79dd8e

Observation 3e6446ff-c866-42a4-b4ba-dd2fe5a02c1c · outbound

This paper cites Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System.

Hgformer: Hyperbolic Graph Transformer for Recommendation Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:14:03.526215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.434980Z digest=sha256:e17cca8cfe2422faa4e9366795c5a85844684ce6607b5839f87f9f3d562f792b

Observation 8f16ab1b-2ed0-4f7c-bdb1-59c89c01303b · outbound

This paper cites Graph transformer networks,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Graph transformer networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.734351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.439674Z digest=sha256:4ba5b0f0daacbf619425f80896cb31fe8bc63641b9f49f837b1e178213238692

Observation 8aa6ff4c-fc15-4a65-b251-d39a28f30dd1 · outbound

This paper cites Graph transformer for recommendation,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Graph transformer for recommendation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.718810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.444935Z digest=sha256:bd4ae9ef8ea4398ec26a7f67f4f6fa8abaa3955051c4facd88a1c48af32b4fd6

Observation 2c5dae7f-baa7-4ecd-9099-b6638df102db · outbound

This paper cites SIGformer: Sign-aware Graph Transformer for Recommendation.

Hgformer: Hyperbolic Graph Transformer for Recommendation SIGformer: Sign-aware Graph Transformer for Recommendation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:14:03.502413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.449744Z digest=sha256:42d336b5edc908093fe6cede6658eac9187348f0d7fdb3fa5c0372227e5ee3b4

Observation 6efccf07-47ca-45d2-8da5-fd8d28c4d194 · outbound

This paper cites Lightgt: A light graph transformer for multimedia recommendation,.

Hgformer: Hyperbolic Graph Transformer for Recommendation Lightgt: A light graph transformer for multimedia recommendation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.701995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:14:03.455219Z digest=sha256:2060a0106e2b314996afb30735421435048b063ec757c2774abaa71b57613380

Pith citing papers

Observation 3a4f7bde-4342-4a72-957d-3ef68bdeeac1 · inbound

Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems cites this paper.

Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems Hgformer: Hyperbolic Graph Transformer for Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T15:54:48.951027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:54:48.951027Z digest=sha256:021b2ab28068ba33e1d31c7f2f6d5064a26f8fd6d1363ad11038ece9b92edaef

Observation 2700f96e-71c8-4192-9c6a-86254a5168e8 · inbound

Computationally-efficient Graph Modeling with Refined Graph Random Features cites this paper.

Computationally-efficient Graph Modeling with Refined Graph Random Features Hgformer: Hyperbolic Graph Transformer for Recommendation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-04T11:04:50.658389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-04T11:01:24.380190Z digest=sha256:867af3a3e2e7d5c361c8b8b15e863fafdf83b092682fd3860f5ac9568ce44e53