Paper Citation Record · LEDGER

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.15285.

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

pith.paper-citation-record.v1
2411.15285 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:36:51.415315Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2a48756-68da-45ba-84cf-4cbcab52149f · outbound

This paper cites To- wards rich mobile phone datasets: Lausanne data collection campaign,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors To- wards rich mobile phone datasets: Lausanne data collection campaign,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.695794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ed7b2ef-caf2-4355-9071-4a5587bd91b9 · outbound

This paper cites Zheng, H.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Zheng, H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.685360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3d0f769-c442-44a3-ad60-96b8a82ccea0 · outbound

This paper cites Foursquare check-in dataset,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Foursquare check-in dataset,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.674858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ebac52ac-d37f-4ef0-bcb0-879488f6307b · outbound

This paper cites Mobtcast: Levera ging auxiliary trajectory forecasting for human mobility prediction,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Mobtcast: Levera ging auxiliary trajectory forecasting for human mobility prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.664143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 726d44f8-8af8-41ce-968b-acd271dd4d4a · outbound

This paper cites Getnext: trajectory ﬂow map enhanced transformer for next poi recommendation,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Getnext: trajectory ﬂow map enhanced transformer for next poi recommendation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.653198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3fb7e1d1-49e2-42c3-9310-91c2d52fa600 · outbound

This paper cites Context-aware deep m odel for joint mobility and time prediction,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Context-aware deep m odel for joint mobility and time prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.642374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87dba082-557d-4da8-aa3d-e0d53381b6b3 · outbound

This paper cites Hierarchical transformer with spati o-temporal context aggregation for next point-of-interest recommend ation,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Hierarchical transformer with spati o-temporal context aggregation for next point-of-interest recommend ation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.630365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8032237d-dd6c-41c3-9095-095c66aec30e · outbound

This paper cites Attention is all you need,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Attention is all you need,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:36:51.363599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa357182-f8b1-473b-9118-3b589456998b · outbound

This paper cites Generat ing realistic and representative trajectories with mobility behavior cl ustering,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Generat ing realistic and representative trajectories with mobility behavior cl ustering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.612585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e50a694-959c-47bf-9b24-045ac00855ca · outbound

This paper cites Practical synthetic human trajectories ge neration based on variational point processes,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Practical synthetic human trajectories ge neration based on variational point processes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.601935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de0045ab-1b12-4dcb-a842-da241f9e3f26 · outbound

This paper cites Trajgpt: Controlled synthetic trajectory generation using a multit ask transformer- based spatiotemporal model,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Trajgpt: Controlled synthetic trajectory generation using a multit ask transformer- based spatiotemporal model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.592684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a03749f9-3f70-454a-9d96-54d161872341 · outbound

This paper cites Friendship and mob ility: user movement in location-based social networks,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Friendship and mob ility: user movement in location-based social networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.583134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 108fa096-74c8-4fd1-aeb6-f71dedf814ad · outbound

This paper cites Deep- move: Predicting human mobility with attentional recurren t networks,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Deep- move: Predicting human mobility with attentional recurren t networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.573593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb41b40f-af27-4015-87b4-f297a0319201 · outbound

This paper cites Predicting the next lo cation: A recurrent model with spatial and temporal contexts,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Predicting the next lo cation: A recurrent model with spatial and temporal contexts,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.563753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26d7ec29-30b3-492f-8d66-a4b67ca7858c · outbound

This paper cites Mining geogra phic-temporal- semantic patterns in trajectories for location prediction ,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Mining geogra phic-temporal- semantic patterns in trajectories for location prediction ,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.552799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9859f80d-068b-4339-bb12-c82d9b2858af · outbound

This paper cites Mobtcast: Lever aging auxiliary trajectory forecasting for human mobility prediction,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Mobtcast: Lever aging auxiliary trajectory forecasting for human mobility prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.541302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b3dd4e4-c904-4fe3-946d-0c9898c501c4 · outbound

This paper cites Where to go next: A spatio-temporal gated network f or next poi recommendation,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Where to go next: A spatio-temporal gated network f or next poi recommendation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.529424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8f533a9-23d1-41df-8b15-b3341dcd0aa2 · outbound

This paper cites Deep move: Predicting human mobility with attentional recurrent netw orks,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Deep move: Predicting human mobility with attentional recurrent netw orks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.517486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5de2ec7a-85d2-47a5-9680-6dc721076f7c · outbound

This paper cites Stan: Spa tio-temporal attention network for next location recommendation,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Stan: Spa tio-temporal attention network for next location recommendation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.505207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a769d2a-1a59-4476-9aa6-b8dcbe192c93 · outbound

This paper cites S tgn: Spatio-temporal gated network for human mobility predicti on,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors S tgn: Spatio-temporal gated network for human mobility predicti on,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.493850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb8a1d8f-bfa2-483f-bbbe-047a9d334855 · outbound

This paper cites Discovering subsequence patterns for next poi recommenda tion.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Discovering subsequence patterns for next poi recommenda tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.480940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f5f31fd-2f81-467f-b37f-a9cb188ca409 · outbound

This paper cites Where Would I Go Next? Large Language Models as Human Mobility Predictors.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:36:51.408736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c816e1d-e8b6-4cdf-88cb-28edf1ab489a · outbound

This paper cites A poi cate gorization by composition of onomastic and contextual information,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors A poi cate gorization by composition of onomastic and contextual information,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.469769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46a5ce3f-1c71-4595-95b2-ac8a2c479397 · outbound

This paper cites Modeling user a ctivity preference by leveraging user spatial temporal characteri stics in lbsns,.

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors Modeling user a ctivity preference by leveraging user spatial temporal characteri stics in lbsns,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:36:51.457527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.