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Paper Citation Record · LEDGER

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction

As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2505.24597.

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

pith.paper-citation-record.v1
2505.24597 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:26.290601Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

65 of 65 outbound references displayed

  • verified exact2
  • verified fuzzy45
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 334b594c-4a04-4d87-af78-b1507348c8f2 · outbound

This paper cites Real-time transportation prediction correction using reconstruction error in deep learning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Real-time transportation prediction correction using reconstruction error in deep learning

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bb01a0de-d4ef-4253-a6bb-04cb6bf728b2 · outbound

This paper cites Mcn4rec: Multi-level collaborative neural network for next location recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Mcn4rec: Multi-level collaborative neural network for next location recommendation

Reference 2

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f8d357c5-5726-4d39-aa33-066bfb72df0e · outbound

This paper cites Cdrp3: Cascade deep reinforcement learning for urban driving safety with joint perception, prediction, and planning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Cdrp3: Cascade deep reinforcement learning for urban driving safety with joint perception, prediction, and planning

Reference 3

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6fe49695-55fb-4794-8780-a85b5e7d50a4 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:21.512135Z digest=sha256:7c7cf742eed0d7c209c34859384d629d366315271843cbd41c223b65ee8cff09

Observation 33539e20-dfa9-422b-bda7-7e4103dd899c · outbound

This paper cites Long short-term memory.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Long short-term memory

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3785f6d3-210f-48fd-8645-d96049c11b8e · outbound

This paper cites Attention is all you need.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Attention is all you need

Reference 6

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source=pdf_text observed=2026-08-07T12:24:21.602582Z digest=sha256:aea0682729bb48d0a47f4604ebdc581b4edd2f7417f812c47a1ad1873c1aebcb

Observation 24765f8d-2397-455b-96a2-5021264a60c1 · outbound

This paper cites Context-aware multi-head self-attentional neural network model for next location prediction.Transportation Research Part C: Emerging Technologies, 156:104315, 2023.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Context-aware multi-head self-attentional neural network model for next location prediction.Transportation Research Part C: Emerging Technologies, 156:104315, 2023

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:21.633563Z digest=sha256:b17884249ff8c53e6c257d093c0127818194f49353278cd3b04ba30316a476b0

Observation 581be1aa-116a-4686-a6fa-dc4a6914e303 · outbound

This paper cites Cllp: Contrastive learning framework based on latent preferences for next poi recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Cllp: Contrastive learning framework based on latent preferences for next poi recommendation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 47a300bc-f8bc-4509-b864-d4df96f6eebc · outbound

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

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Getnext: trajectory flow map enhanced transformer for next poi recommendation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9b1a63df-2735-4ff6-8ee0-34a4b25c8fab · outbound

This paper cites Instruction- tuning llama-3-8b excels in city-scale mobility prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Instruction- tuning llama-3-8b excels in city-scale mobility prediction

Reference 10

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 75f1e757-b3d2-4782-ad14-b7168100833f · outbound

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

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 11

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Observation a47155cd-8ccd-4691-89bb-48a445f41c4a · outbound

This paper cites nextlocllm: next location prediction using llms.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction nextlocllm: next location prediction using llms

Reference 12

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source=pdf_text observed=2026-08-07T12:24:21.835637Z digest=sha256:aa3f99103368b3875eae409ebab1a2d67ba1bd7c365e6720f9de233b0d463918

Observation 8dee0801-962f-4c3a-8064-3d0b4d5b8f39 · outbound

This paper cites Harder tasks need more experts: Dynamic routing in moe models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Harder tasks need more experts: Dynamic routing in moe models

Reference 13

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source=pdf_text observed=2026-08-07T12:24:21.877385Z digest=sha256:41ef0082d2633e35cf393213763c6d78ad9c804f3c3d2d1a76859259754c3d56

Observation ec246c23-56da-41ec-8cba-efe6c3fae927 · outbound

This paper cites Deepmove: Predicting human mobility with attentional recurrent networks.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Deepmove: Predicting human mobility with attentional recurrent networks

Reference 14

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raw_fallback, observed 2026-08-07T12:24:32.002271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5486901b-7189-45c0-b8bc-246e2b0c381a · outbound

This paper cites Seaget: Seasonal and active hours guided graph enhanced transformer for the next poi recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Seaget: Seasonal and active hours guided graph enhanced transformer for the next poi recommendation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 863f7197-cf4e-4291-ad23-b248a20d4c52 · outbound

This paper cites GPT-4 Technical Report.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction GPT-4 Technical Report

Reference 16

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Unavailable: canonical work link unavailable.

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Observation c1435ecf-c38a-47f2-9a6c-bf17a1d83d96 · outbound

This paper cites DeepSeek-V3 Technical Report.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction DeepSeek-V3 Technical Report

Reference 17

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source=pdf_text observed=2026-08-07T12:24:22.062634Z digest=sha256:37d7973bd3720a431281951ac231d9cc016ffe5757ba467f3d64cb456cc2ab6b

Observation f6618dc4-91e0-4b20-8f92-d2c3f6257dc9 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction LLaMA: Open and Efficient Foundation Language Models

Reference 18

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Observation 6d654f85-80c5-4b5a-b587-f5c3a14f0915 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 19

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Observation b4718121-cc63-49f2-96f7-34c313a85a76 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 27a25a25-0480-4863-a387-d01fec2b44d8 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 21

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source=pdf_text observed=2026-08-07T12:24:22.500034Z digest=sha256:79798b0e1c01284ebcd9c0b11e5865168dcf06d79ceaebda4b58e26a3da33da6

Observation fb11e14e-40a8-41b8-b009-9be979d82fcb · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 22

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source=pdf_text observed=2026-08-07T12:24:22.701714Z digest=sha256:813a7b1340e2ddf28334a3ec2157dd84ce0e3a474d36dc61102cb150d5f71be2

Observation 040bfa19-454b-4fdb-b6fb-96b107967b40 · outbound

This paper cites Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Reference 23

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source=pdf_text observed=2026-08-07T12:24:22.777689Z digest=sha256:90e13947d4e3823600d87546c8a443fea252df2f2590c45a5c666aa5c2dbc00b

Observation 6f2e4710-9e94-45bc-b349-803a03248197 · outbound

This paper cites Graph mixture of experts and memory- augmented routers for multivariate time series anomaly detection.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Graph mixture of experts and memory- augmented routers for multivariate time series anomaly detection

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:22.911500Z digest=sha256:36ac728193544cfe69e1599601e29773aa813e558fe948447002824fa6663289

Observation 2fa02aaf-c66f-47f7-aac4-d14df9185ff1 · outbound

This paper cites Temporal convolutional networks for action segmentation and detection.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Temporal convolutional networks for action segmentation and detection

Reference 25

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raw_fallback, observed 2026-08-07T12:24:31.510083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.035768Z digest=sha256:d39ff63fba83a5cc3b6e8752690d85a0e0f1f36820a89e42314ed57adb146222

Observation e11a1a2a-9afa-46e8-90a1-2263d1f5e603 · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 26

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source=pdf_text observed=2026-08-07T12:24:23.145178Z digest=sha256:4d97d9be18037cfd01fbb24e7a123fb59ef477a92ea0f8df298c13a94088827f

Observation a4491d14-8a37-4f09-92e9-33f0f05da174 · outbound

This paper cites Stan: Spatio-temporal attention network for next location recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Stan: Spatio-temporal attention network for next location recommendation

Reference 27

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raw_fallback, observed 2026-08-07T12:24:31.334034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.282251Z digest=sha256:3b6a013bc76ebe92060fa2dae6f873767892f346ddfac7d407411fc2324e7009

Observation ad8b5b59-f8a7-4d4b-b710-fc192a53be17 · outbound

This paper cites Mfnp: A meta- optimized model for few-shot next poi recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Mfnp: A meta- optimized model for few-shot next poi recommendation

Reference 28

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raw_fallback, observed 2026-08-07T12:24:31.204609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.375954Z digest=sha256:e3856b363e7073b91e82da9afbdd3e5a956d01c2f22e3e8f8ff693d6dc49fa39

Observation a36e52e8-50b6-4dbb-877d-64ed69d9e14e · outbound

This paper cites Rotan: A rotation-based temporal attention network for time-specific next poi recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Rotan: A rotation-based temporal attention network for time-specific next poi recommendation

Reference 29

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raw_fallback, observed 2026-08-07T12:24:31.089289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.480787Z digest=sha256:3ebdd96e54ac8352af02b3050008f92559c7bcb51acede95024a1e73eb49754f

Observation 36098b8b-2f65-4512-a760-4ab6618ace2b · outbound

This paper cites Large language models for next point-of-interest recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Large language models for next point-of-interest recommendation

Reference 30

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raw_fallback, observed 2026-08-07T12:24:30.975943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.591672Z digest=sha256:2eaff62d8a65e63d7a4ace08cab97746fa739051cccb772a1b4024a99f55753c

Observation 05a8b189-9886-4aa9-8375-4b02cbb6173c · outbound

This paper cites Large language models are zero-shot next location predictors.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Large language models are zero-shot next location predictors

Reference 31

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raw_fallback, observed 2026-08-07T12:24:30.892709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.701971Z digest=sha256:d7914a78c184cf64b9c1d475e005a0bca173d6b13268c1a8a30fe424bd7c5089

Observation d71f2704-b3a6-49c8-bf9c-73d079601cf9 · outbound

This paper cites Llama-moe: Building mixture-of-experts from llama with continual pre-training.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Llama-moe: Building mixture-of-experts from llama with continual pre-training

Reference 32

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raw_fallback, observed 2026-08-07T12:24:30.768127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.831940Z digest=sha256:ef61650e4210dbe1145591c9d7f12af1499c4c4d9903fb6eb7465cb3f8825d63

Observation 5e5bf5c3-a8d8-4fef-809c-3f94fb09e428 · outbound

This paper cites A survey on next location prediction techniques, applications, and challenges.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction A survey on next location prediction techniques, applications, and challenges

Reference 33

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raw_fallback, observed 2026-08-07T12:24:30.664625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:23.933801Z digest=sha256:c379e34e2fd549a50b793d2fb1938c469daa3d1d983e6f6824e5d50d745d1494

Observation 322337e9-c913-4da3-bd9d-4af002c8318c · outbound

This paper cites Mobility prediction in cellular networks: A survey.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Mobility prediction in cellular networks: A survey

Reference 34

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raw_fallback, observed 2026-08-07T12:24:30.512834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.044856Z digest=sha256:5644352392539d270216042c535099f49e3af1ce104804ec05af576e24311281

Observation f1ee1d2e-54f6-48e4-9e25-80664d61893b · outbound

This paper cites Mobility prediction: A survey on state-of-the-art schemes and future applications.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Mobility prediction: A survey on state-of-the-art schemes and future applications

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:30.412287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.139224Z digest=sha256:4121341e73247eeeb5fda12c5233dab6fca5b06ab7773b992af72361303ace5a

Observation 58152052-2327-4b8c-a386-b645a099b7b1 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:24.240538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:24.240538Z digest=sha256:c0d63a9bcffa47b7b50ef68a9df6d06c6a97aebe6861bf260fc8d6ce5b95752d

Observation 08eadcc0-0b66-4c1d-95dd-84edf5afc15b · outbound

This paper cites Sasrm: a semantic and attention spatio-temporal recurrent model for next location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Sasrm: a semantic and attention spatio-temporal recurrent model for next location prediction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:30.313367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.360859Z digest=sha256:e3fa27946fd41e44ad57ea99cc1d01a0f5d5dd1c81b4d8794ff1a1c1f64fe907

Observation 837f00ef-0689-4c07-a452-fd2b2d0d009c · outbound

This paper cites Beyond the limits of predictability in human mobility prediction: Context-transition predictability.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Beyond the limits of predictability in human mobility prediction: Context-transition predictability

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:30.216373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.449614Z digest=sha256:0ded729a780dd39c2da1d93ed919f049904cafca13b732c4c8bdcca5c613b6e0

Observation dcf898fc-83f3-4892-b013-5555d3c1dd8f · outbound

This paper cites Secdm: A secure and lossless human mobility prediction system.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Secdm: A secure and lossless human mobility prediction system

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:30.114228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.491780Z digest=sha256:197dcf187eeea302ac72d76ab95e13c099d246deadce9c8e053fd755f824330b

Observation c5b5f3d6-c67d-4cbe-be0c-aef786b9a404 · outbound

This paper cites Mobility prediction via sequential trajectory disentanglement (student abstract).

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Mobility prediction via sequential trajectory disentanglement (student abstract)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:30.033228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.567279Z digest=sha256:0a08b8fa7fab9226f331a1a113660ba5144a90bfdd78760f639a1f1fa240b872

Observation 0a90edfb-f043-43f2-94e6-2c6f0942f080 · outbound

This paper cites An lstm-based mobility prediction mechanism in the icn-based vehicular networks.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction An lstm-based mobility prediction mechanism in the icn-based vehicular networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.917137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.702083Z digest=sha256:9c787228e40153fceac3929f665d2fbcf7ffbdceba3ea40d720292f54d48e04e

Observation ea098b68-b0f6-4be2-8cf3-8c4830681f91 · outbound

This paper cites Multiwave covid-19 prediction from social awareness using web search and mobility data.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Multiwave covid-19 prediction from social awareness using web search and mobility data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.786324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.782112Z digest=sha256:d4f52e4c26c45d03281d4559a3587af5f50ac936a583e18463c5a5f3f75e9e9a

Observation 6c4c2067-abf1-4604-ab07-8b771036b8f7 · outbound

This paper cites Trajgraph: A dual-view graph transformer model for effective next location recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Trajgraph: A dual-view graph transformer model for effective next location recommendation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.694100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.833384Z digest=sha256:673e14d19de2de8090823a5c60bea369b7b2ce61b41b0425af0e130c8b6b0d3f

Observation ee30a6f9-64c6-4ed5-baf7-1e537a552245 · outbound

This paper cites Next point-of- interest recommendation with adaptive graph contrastive learning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Next point-of- interest recommendation with adaptive graph contrastive learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.567058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.879801Z digest=sha256:5eb093975b0674698420079eb0a43e21c8b56cfb0128f8f5446f3b68301b5941

Observation 4a624106-0ae4-4d37-9889-03811716f5e3 · outbound

This paper cites Integrating personalized spatio-temporal clustering for next poi recommendation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Integrating personalized spatio-temporal clustering for next poi recommendation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.485790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:24.966099Z digest=sha256:fd5b2b27619fa26f4f6d3e07f9c5b6f2ae5d610d276187b59580222dced86ea2

Observation 8669058d-592f-41d5-a67c-334e5230e83f · outbound

This paper cites Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.402113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.041803Z digest=sha256:99aafd0925b3837a4d357788557b5fcc90d779261f36c50e9be7ba9cb41cd480

Observation a4b32a6f-28e9-485b-b74c-760674b8229a · outbound

This paper cites Going where, by whom, and at what time: Next location prediction considering user preference and temporal regularity.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Going where, by whom, and at what time: Next location prediction considering user preference and temporal regularity

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.312858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.122893Z digest=sha256:30fb2cc4edb2286f81f07a154d73eeba43fbe014cbd512ed0054a13c30c9a449

Observation 1b60954a-c941-4f98-86e2-d47f5601ed94 · outbound

This paper cites Enhancing long-and short- term representations for next poi recommendations via frequency and hierarchical contrastive learning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Enhancing long-and short- term representations for next poi recommendations via frequency and hierarchical contrastive learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.240384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.168158Z digest=sha256:f3e3553192cc4bd26611425f2cf81d20f02a62f02d2262652e06701a502da04e

Observation 4da31280-480a-482f-8b24-5abd719648fc · outbound

This paper cites Improving next location recommendation services with spatial-temporal multi-group contrastive learning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Improving next location recommendation services with spatial-temporal multi-group contrastive learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.148714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.246316Z digest=sha256:8e2863688a27f1a1e609b51f593e38005a4a2830965a37bb8ea8e2a2a3208712

Observation dda39d3e-6b87-47ca-83cc-4f31c016e41e · outbound

This paper cites Deep sequential multi-task modeling for next check-in time and location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Deep sequential multi-task modeling for next check-in time and location prediction

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:29.011198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.361162Z digest=sha256:e40b8ee6c006c9f93cef46753ac3c16d02c3c575747ab0248a476bb328398a5a

Observation 5f91bbdf-b187-4d4a-b6ad-77a61dc196f7 · outbound

This paper cites Sanmove: next location recommendation via self-attention network.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Sanmove: next location recommendation via self-attention network

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.921273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.455002Z digest=sha256:2d2853ca75f43a86369a9c360b9a699c743b9e1d67e117ec3a64c5deda3c22b1

Observation 6a5d10c9-c081-45ef-a478-fbaa2331a8f6 · outbound

This paper cites Tcsa-net: A temporal-context-based self- attention network for next location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Tcsa-net: A temporal-context-based self- attention network for next location prediction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.824521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.495888Z digest=sha256:86c5052a0c6378e93f2a87709e49dd1f0be5882ec4e93de1d7a0b4705a80cd98

Observation 316889ff-7112-4d0a-931e-6ce3f538bc25 · outbound

This paper cites Taming the long tail in human mobility prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Taming the long tail in human mobility prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.739632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.526525Z digest=sha256:232fb47eb88791f3be04a2ffdcee0a10a642fa7324d1fda4855d56cf51e50fe9

Observation f1b288c1-60e8-4549-8273-9b84c68e4dbf · outbound

This paper cites Physics-informed spatio-temporal model for human mobility prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Physics-informed spatio-temporal model for human mobility prediction

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.598313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.565440Z digest=sha256:3a873e22f7d3c39ab7f8f7abcc1ddd8a0b0d9132a516a9c73093ad14be5ad24b

Observation eb6ae566-5dab-4977-8d3b-409e08c1faf4 · outbound

This paper cites Towards an event-aware urban mobility prediction system.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Towards an event-aware urban mobility prediction system

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.492669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.608843Z digest=sha256:ea73be841b8438da66752f82c4bd2d1d3256adf71c2ea794aa652cd20103a5c9

Observation f94858b2-93d3-4435-9343-00ca740db5ee · outbound

This paper cites Human mobility prediction challenge: Next location prediction using spatiotemporal bert.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Human mobility prediction challenge: Next location prediction using spatiotemporal bert

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.326456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.738985Z digest=sha256:385261934c0d653063cc6b0e4159d1e085a6591d71311da9b2cf9d8b59cb17ac

Observation 849e8fac-f906-4bb9-8e56-30cd871673bb · outbound

This paper cites Exploring the potential of deep regression model for next-location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Exploring the potential of deep regression model for next-location prediction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.159411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.796369Z digest=sha256:540377bccf54d18118c5a92dfa68d41c389b6fcbb409a8203150d7c4a348e085

Observation 5ad8bbd9-c142-4dbf-ba74-a5e2287f6c28 · outbound

This paper cites Agentmove: A large language model based agentic framework for zero-shot next location prediction.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Agentmove: A large language model based agentic framework for zero-shot next location prediction

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:28.020586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.842666Z digest=sha256:8dd9c6fb737a023f2ba4ad890e9df0095fc368b4b4733b68604c1912be7124c5

Observation e6eb9ff6-0d3a-469a-87ac-7289c9d6e4d5 · outbound

This paper cites CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:27.105483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:25.879207Z digest=sha256:3027465e23c2ccd4124c0757bc6063a00978aa051a70e3cd4eac2b3b8ab08695

Observation ec443fce-a8f8-4549-9e04-c940d73cd137 · outbound

This paper cites A Closer Look into Mixture-of-Experts in Large Language Models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction A Closer Look into Mixture-of-Experts in Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:25.948999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:25.948999Z digest=sha256:d1bb0dc090738e1a1b1f8261762f2265b7ecbc8cc9d116567d05a4906973fa74

Observation d86894ad-3557-4725-b60b-ce7280801051 · outbound

This paper cites PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:25.973589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:25.973589Z digest=sha256:69db79fcdbc570218aa2fcee9c9acb12dde7e12e587b219607ce6a26e30f8c22

Observation 05b18552-290d-4861-9df8-33b0951d5f37 · outbound

This paper cites Moe jetpack: From dense checkpoints to adaptive mixture of experts for vision tasks.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Moe jetpack: From dense checkpoints to adaptive mixture of experts for vision tasks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:27.889488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:26.043960Z digest=sha256:ea40be22ee609a5097269e20be9ea319458df427da785a8d77e60ed6585e6552

Observation 67490233-5793-44a9-b3c2-f78e74f865f3 · outbound

This paper cites Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:26.135538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:26.135538Z digest=sha256:b47e1636e7395951bf1d592c6911f23fe68d8cc3e8913b7dca81e0336b0efe18

Observation b7fd8e9f-2c6c-4cbc-8c73-aea32b7c674e · outbound

This paper cites Multimodal Instruction Tuning with Conditional Mixture of LoRA.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Multimodal Instruction Tuning with Conditional Mixture of LoRA

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:26.236812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:26.236812Z digest=sha256:e2fde6b17287a3348cd2791737b2ebea79bd503171159fce49d5526e32a982e1

Observation b6dea795-346c-40e6-bcce-6f0b7d4f1e6b · outbound

This paper cites Large language models as urban residents: An llm agent framework for personal mobility generation.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Large language models as urban residents: An llm agent framework for personal mobility generation

Reference 65

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:24:26.734650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:24:26.290601Z digest=sha256:d97dd3ce81c4b191af7606fc35fd70bf0d3e9d3b90d3ca5936f222584cacc943

Pith citing papers

No inbound Pith citation observations are available.