Paper Citation Record · LEDGER

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning

As of 21 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.21612.

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

pith.paper-citation-record.v1
2506.21612 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:12:36.568280Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

verified exact6
verified fuzzy3
unresolved47
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External citation measurements

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Outbound references

Observation a8670e97-4fbc-4cd8-af10-d746f8faff79 · outbound

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 1

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 2

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Observation f250d448-d65c-4b92-9ef3-dff19250e920 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 3

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Source-reported events for the cited work

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This paper cites Stochastic Training of Graph Convolutional Networks with Variance Reduction.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 4

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

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This paper cites an unresolved cited work.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 7

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 8

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 9

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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Observation a67fa17f-8f68-420b-8ba5-bdc838f8e978 · outbound

This paper cites MGeo: Multi-Modal Geographic Pre-Training Method.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning MGeo: Multi-Modal Geographic Pre-Training Method

Reference 11

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Observation 91ffd5c9-bab7-40f8-aae7-3b833f517be7 · outbound

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 12

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Observation db37c9d4-df8e-4418-a09f-bbc1b0067d98 · outbound

This paper cites Hazelton.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Hazelton

Reference 13

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Observation 88d919ee-c4ed-4f2a-8559-d143493ceeb3 · outbound

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 14

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 16

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 17

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Observation c1fcd8c1-e259-49a3-9971-b4fce0fbef70 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Adam: A Method for Stochastic Optimization

Reference 18

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 20

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 21

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

Reference 24

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Unresolved cited work

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Graph Attention Networks

Reference 34

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

Reference 35

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 45

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

Reference 49

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks

Reference 50

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning (11 2019)

Reference 56

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Observation 075404d9-e5dc-4137-85bb-53cb20b1ac8b · outbound

This paper cites In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2019

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 34 (04 2020), 214–221.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Proceedings of the AAAI Conference on Artificial Intelligence 34 (04 2020), 214–221

Reference 2020

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Observation 31ddd19a-a16a-486a-9a66-32a70c344073 · outbound

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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 2023

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Observation 127741eb-a3f8-46cb-85c6-4b7bdf8bc3dc · outbound

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Reference 2024

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Pith citing papers

No inbound Pith citation observations are available.