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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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raw_fallback, observed 2026-08-10T23:14:04.175494Z

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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verified fuzzy
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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no resolver link, observed 2026-08-10T23:14:03.250950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.250950Z digest=sha256:71d0d663472c9d8a49b0622ffb2c044f46ad2e0e4098fe4f6adcfe19639ae7de

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

Resolution
verified fuzzy
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

Resolution
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raw_fallback, observed 2026-08-10T23:14:04.113462Z

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

Resolution
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raw_fallback, observed 2026-08-10T23:14:04.097028Z

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:b858196a793fd17ddcb9f1c9e12c789508ab532083d721a36ffe75fdf769a8a7

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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raw_fallback, observed 2026-08-10T23:14:04.081067Z

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

Resolution
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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.

source=pdf_text observed=2026-08-10T23:14:03.279969Z digest=sha256:c850d5f97c37124261f41521d58e252bd8b9bc5525ec54ad3c105a7bf3823d66

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.

source=pdf_text observed=2026-08-10T23:14:03.285051Z digest=sha256:13f5a783acc8a0baedeacb779a4749a8df756cf215e8b9ad3dbe5832cb8d3d80

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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raw_fallback, observed 2026-08-10T23:14:04.051184Z

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=2026-08-10T23:14:03.290328Z digest=sha256:f9a714324d65ced8a2653e949e71cb3051e6345878ce748c2c04d43a70d9bc99

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
verified fuzzy
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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:04.020399Z

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=2026-08-10T23:14:03.300861Z digest=sha256:5f42e0507896bbe6e7fc1ecc651fae18bc76fd8e2d4d970e7fa07f20fbe5dc4f

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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no resolver link, observed 2026-08-10T23:14:03.305673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.305673Z digest=sha256:3bc100f1603dd087e8da9dffda77ade6cac301b7fbe5f72859a48c8a094f5114

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
verified fuzzy
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=sha256:46e7229011275809570f7a0263b9317f28ed8670c81c448d9e45f395fc4ba651

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

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.987979Z

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=2026-08-10T23:14:03.315574Z digest=sha256:4c3768f4e47935f51ff7a2d4e5274253ec3b741f0314966f90803d6cb0764e75

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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raw_fallback, observed 2026-08-10T23:14:03.972204Z

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

Resolution
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raw_fallback, observed 2026-08-10T23:14:03.955431Z

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 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
verified fuzzy
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:c00d2e3cd0b3b430c2675d5fdf094f0eadf5a5168a2896eaa126fc48337f3573

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
verified fuzzy
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:a6308dd5d0e54501480e9e8f1013bb4f60bd536ef990ebca77bfd226635e3c21

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

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=2026-08-10T23:14:03.348542Z digest=sha256:400c79625893236e0367c330418589bcfb4a846672ed1a8caebc7964dd5b6c36

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
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.889945Z

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:ecdd4873e4e46eb11b06236878e37de7fab21df97b1d7a2dd10eaaf84b1a7a8c

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
verified fuzzy
raw_fallback, observed 2026-08-10T23:14:03.873574Z

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=sha256:46b08dd7bf0e912019b1aed60b2de1329cafcf62d01ebb95f8ca32a7a963a718

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
unresolved
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:adfe7fe82a1af61b04c6de7b2e758b1cba721192b09004422aa6ec6f93de656b

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
verified exact
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=sha256:2e977669158237ac10edd8788378e9bf0d3361af2dcffa8fe3ed19f5d64541cb

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
unresolved
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:e3b4e71a640bae1e4c431bdff6231725675905861280d43d7c1e0bce4dd297f9

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:f35993b2b53c7050f00e0e9324b4f350a06fd99223cd2df29c45fc2ccb3510d4

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=sha256:3e172efccb60b47134dca7fde8b37e4c9c870eee7756df073f4d4634c1ea5967

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

Resolution
unresolved
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=sha256:4a873c4b18d98d014d84338aee031d215cb4dfd24d6dbb25719fc2a9423f8eaf

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

Resolution
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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:f92329d3c0215b86875d6664be6826d6afd991ba2336e82ca68724fb2c3b478c

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
unresolved
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=sha256:0de415fd0599559656234b4faa066c38b5e12ce86566e85a62e8a658f7e8cf58

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
verified fuzzy
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:c0c71216d25484f42694ee4d4671bcbfcf602307b594707886d20705a3cfa564

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

Resolution
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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:f63d42f68dd66d27881559a8dde1eea7da47e7d4e9764d295b1f3450844068aa

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

Resolution
unresolved
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:fd3b883f59377a7193af1a23d913449f233d5413a1b7d8a73814d7815d687b34

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

Resolution
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=sha256:368ece2b891cef2f23d72f3f77396d746e174293226bf0c11ebf4bd8d83fe965

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:e5fd54dfc78c92d81c45fc7aef50340b8f956ded88d5e9d67c0ffbf2b6242c82

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=sha256:5bad94911e01734b22a0d5436ac5c157add7078f2df03d8fb2fd516ceb7cabc8

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=sha256:01b47567dfedd9bf16fbb34c2f90281bbc6271ce9b6eee9d5255f47abcb0d99f

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=sha256:8bcdda941d7d3613e6deef079a2f0fe3e22e67023a0507498202d2535290a8da

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=sha256:07bacdd04d228d6e29dcb917ddcc5cba8cac9c84676ede177e17835caed40411

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=sha256:04dfb7692161699b2f99744fbeed23b9d016e9b22b0ca3a769c93978dbd74a95

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:dd1215598badeaf9cc239ee7031804384d872bba90292f2046f2a246e9f7f516

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=sha256:4e2e1ff41eb611917876db6399ccdee34eb3bfc6618d5aba8e87ffc82d5e448e