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Paper Citation Record · LEDGER

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2501.06561.

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

pith.paper-citation-record.v1
2501.06561 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:03:47.975208Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 fuzzy57
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abb58a34-ffe6-4327-bacb-fb54441398aa · outbound

This paper cites Location prediction on trajectory data: A review,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Location prediction on trajectory data: A review,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dccf6229-8a6b-4921-b1b1-30cd207436db · outbound

This paper cites Planning for electric vehicle needs by coupling charging profiles with urban mobility,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Planning for electric vehicle needs by coupling charging profiles with urban mobility,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.584988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 15451c03-6c02-44f0-9bd4-89c32ac339aa · outbound

This paper cites Predicting collective human mobility via countering spatiotemporal heterogeneity,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Predicting collective human mobility via countering spatiotemporal heterogeneity,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.482843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8ccb9fbd-d3c6-4d61-b6ef-2a70d3666af7 · outbound

This paper cites Human mobility prediction based on trend iteration of spectral clustering,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Human mobility prediction based on trend iteration of spectral clustering,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.374814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.034924Z digest=sha256:731a2db14ab047d1ee0277d9265a828e339ad96074d3020b608c4ca822270c22

Observation 85de9b18-ae79-45a1-827d-685a3c3ebbc5 · outbound

This paper cites Survey on user location prediction based on geo-social networking data,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Survey on user location prediction based on geo-social networking data,

Reference 5

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raw_fallback, observed 2026-08-10T21:03:54.269941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.084921Z digest=sha256:409d99fc579b52f2adf96ad44bac42ae020dce789549a6ebf0e232fe1bcb70f2

Observation ffe27280-c1d7-4aaa-b443-be70b54b5ac5 · outbound

This paper cites Population flow drives spatio-temporal distribution of covid-19 in china,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Population flow drives spatio-temporal distribution of covid-19 in china,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.200985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.128529Z digest=sha256:50804fbc18bd459d2b46f1340d7908eba7c4360da33545e0bc7f3e12f40b325e

Observation f0d69fe6-9f6d-42f1-8607-b141636f3221 · outbound

This paper cites Modeling in- ternational mobility using roaming cell phone traces during covid-19 pandemic,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Modeling in- ternational mobility using roaming cell phone traces during covid-19 pandemic,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.127799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.164764Z digest=sha256:26b209dc1fca4763b7299b79301b3d09657ea4f80a0e9bd3c741658e73806c3d

Observation 62db6e69-4b46-4b95-909f-630eb608730f · outbound

This paper cites Urban dynamics through the lens of human mobility,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Urban dynamics through the lens of human mobility,

Reference 8

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unresolved
no resolver link, observed 2026-08-10T21:03:45.194751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:03:45.194751Z digest=sha256:fba53e62ee05294b6abd54bc03f9dd367edf2cafd24e3e5c0608958f0591a984

Observation 7665cb5c-f49c-43cc-ba67-d538c67de524 · outbound

This paper cites B-planner: Planning bidirectional night bus routes using large-scale taxi gps traces,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction B-planner: Planning bidirectional night bus routes using large-scale taxi gps traces,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:54.004986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.231034Z digest=sha256:5268a9c83d5c937ade7cd88185abdd564faf57f252c2910f3ee6da300c5f5e9b

Observation 462cb544-3dc0-4472-8a00-d5be57b4246a · outbound

This paper cites Understanding vehicular routing behavior with location-based service data,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Understanding vehicular routing behavior with location-based service data,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.907470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f4bc0eaf-8453-4df7-8e6f-e09e29645dc1 · outbound

This paper cites Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Reference 11

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verified exact
local_arxiv, observed 2026-08-10T21:03:48.906085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 94992c4f-e1fb-4364-a176-99030165823d · outbound

This paper cites A survey on deep learning for human mobility,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction A survey on deep learning for human mobility,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.761766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ca5d95bb-46be-4a57-ad83-c11e46222713 · outbound

This paper cites Personalized ranking metric embedding for next new poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Personalized ranking metric embedding for next new poi recommendation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.594773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.383218Z digest=sha256:094a189d796c98ee501e8c1f7edfd4f75424c12b2fe46792d1ccd9ede55eb812

Observation 08111ec1-0aad-4f1b-a622-02dd50c8a3d7 · outbound

This paper cites An attentional recurrent neural network for personalized next location recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction An attentional recurrent neural network for personalized next location recommendation,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.463435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.417538Z digest=sha256:07392b84758da8bc1e6c4dce7e226f8a5622376887f1cb67dd7abd99a3a501d9

Observation e44bce63-d65a-4bfc-97b4-19a209316382 · outbound

This paper cites Next point- of-interest recommendation with inferring multi-step future preferences,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Next point- of-interest recommendation with inferring multi-step future preferences,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.314277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.444749Z digest=sha256:df7309b5c9d5a216d10c7b4e12c94dbd97fa9750969a4f6a7cab96673172dfed

Observation 45c44f3b-f8d7-4e09-904a-0bb63fde56ae · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Getnext: trajectory flow map enhanced transformer for next poi recommendation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:53.157256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.450986Z digest=sha256:1c456e7aa8d22cb9d6c86020fece69c6f7b7537b5f157b14b63b888f3f720e93

Observation 538a49e8-a8b3-4af5-96ea-73cd9a9f5834 · outbound

This paper cites Learning graph-based disen- tangled representations for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Learning graph-based disen- tangled representations for next poi recommendation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.994752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.476265Z digest=sha256:0343f913c2a7430d0ce161a0c4a43c2d8fa9ee4083dd9c27dae8f30f0ce37813

Observation 0f3bd2b5-8fec-497e-9120-155341b015e9 · outbound

This paper cites Hierarchi- cal multi-task graph recurrent network for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Hierarchi- cal multi-task graph recurrent network for next poi recommendation,

Reference 18

Resolution
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raw_fallback, observed 2026-08-10T21:03:52.846332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.489024Z digest=sha256:2d2f548c3aa87a4398bb3f25cafffb01bcd608e541abfb495c09c0cda348a437

Observation a0857201-7250-4f84-bde9-32d147bcfcad · outbound

This paper cites Disenpoi: Disentangling sequential and geographical influence for point-of-interest recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Disenpoi: Disentangling sequential and geographical influence for point-of-interest recommendation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.749111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.500499Z digest=sha256:3161bdec8e5becdec49488b84241eff90b13aa77c52ddb4c8f909400fb800f1f

Observation 424dbd7b-559f-4a96-8797-9e6b2a348908 · outbound

This paper cites Spatio-temporal hypergraph learning for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Spatio-temporal hypergraph learning for next poi recommendation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.614757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.517293Z digest=sha256:3590c72112bc45df320b31e3bf7be7be9065569291015303b636418013223f6b

Observation 825de6e1-f912-4556-8506-d95763010a76 · outbound

This paper cites Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.559705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.944827Z digest=sha256:e28de6cbfd66cb551d26a4eb2473720e240a7868212568796dcc501aa14b9923

Observation 2c097474-18a5-4180-9d72-5cc769a6ae96 · outbound

This paper cites Disentangled graph debiasing for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Disentangled graph debiasing for next poi recommendation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.472555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:45.973378Z digest=sha256:c80fc607fce33db77aa1fcd198085c4bdc08f85259012c0d9749b6aa066b6e07

Observation 3f77ea09-4bf6-4f35-a588-4ca51eeac4b0 · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Integrating personalized spatio-temporal clustering for next poi recommendation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.416390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.026234Z digest=sha256:4fde1fa2c6c04daf822c1767dbe0bd6fa127db701de6a97a50699f21ad7e96b8

Observation 6d366687-9f45-4355-b9f4-008a8a013f78 · outbound

This paper cites Comapoi: A collaborative multi-agent framework for next poi prediction bridging the gap between trajectory and language,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Comapoi: A collaborative multi-agent framework for next poi prediction bridging the gap between trajectory and language,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.362056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.094757Z digest=sha256:c30e0375febc2550ed70282477624655f7d96b0a6137aa1337e022a751cef927

Observation c6a5e2b5-3be1-4bd5-8c92-d06a20af4730 · outbound

This paper cites Next-POI recommendation via spatial-temporal knowledge graph contrastive learning and trajectory prompt,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Next-POI recommendation via spatial-temporal knowledge graph contrastive learning and trajectory prompt,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.320108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.144839Z digest=sha256:b9b87d3cfeab73b04e6dc24eba8f5df84b3a14b8d00dd49cf53dad530006ed10

Observation 4eed5c5d-29b3-4f7a-a61e-186d7bff8adb · outbound

This paper cites Mobility network models of covid-19 explain inequities and inform reopening,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Mobility network models of covid-19 explain inequities and inform reopening,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.269746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.184756Z digest=sha256:090ac9c0c98a9d6d434ae0a20dc79c403b6a03d42a2cfa07f79d5c37cc50ee80

Observation 7d392f08-5878-4ff4-8987-16addbb4283c · outbound

This paper cites Where you like to go next: Successive point-of-interest recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Where you like to go next: Successive point-of-interest recommendation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.211342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.234834Z digest=sha256:d5d9f702ea6ebcfbe94cba937aeb9df259c16ef0daf7d1e3bbe256d3348e19ef

Observation ba8930c4-316d-47ab-97d9-b721b14e3f19 · outbound

This paper cites The timegeo modeling framework for urban mobility without travel surveys,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction The timegeo modeling framework for urban mobility without travel surveys,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:46.284914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:03:46.284914Z digest=sha256:31082370f056496dc53cb25a36fa7a7e764b57b9c790fe164ce087eea0d49d8b

Observation 4025003f-d850-4fa4-a0fc-751a97a74f7e · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Deep- move: Predicting human mobility with attentional recurrent networks,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.130537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.331249Z digest=sha256:dcfa923b0c3d848f6788d4858599ebd1d5155af04c8dcfb29bab883cb1ef30e7

Observation 107acb67-2d18-43b9-9957-a64377f07edd · outbound

This paper cites Metaptp: An adaptive meta-optimized model for personalized spatial trajectory prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Metaptp: An adaptive meta-optimized model for personalized spatial trajectory prediction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.089316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.373516Z digest=sha256:0f90673a6b833cecb77c5504db28bb133b3336dfd393e206faa9702fc3726c1c

Observation 62d4ede7-091a-457a-85f3-16b8e68a0499 · outbound

This paper cites Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:52.053637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.392282Z digest=sha256:86d1d811624ca5fcbbd403cbd51827ed72ce15ae90c8a7bfdc95fc4e6f99c8fb

Observation a790fc73-ebdd-4811-9f5f-ed6ca2e1b6da · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Stan: Spatio-temporal attention network for next location recommendation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.965386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.446191Z digest=sha256:c6cfaa1b06b333992ee193ddf1ae0bf2d98a1db36696f3260d1f944e381ab395

Observation d0751694-e2eb-4dad-afa4-c572056891b0 · outbound

This paper cites Geography-aware sequential location recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Geography-aware sequential location recommendation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.864748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.485445Z digest=sha256:7b2801c3ac532ead901565e7a4c2f5faf86e6ee4b86f5c723ddacadc1549dbd0

Observation 1fd2d829-af60-48bf-b3a3-ce52fdfa149b · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.744751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.535026Z digest=sha256:2710c449fa6fd452e4163222bd80591fc2e5b0fec70a72089dc340c641f9f469

Observation 9509da0d-7b73-4303-b2e1-5e570d7da4c6 · outbound

This paper cites Modeling spatio- temporal neighbourhood for personalized point-of-interest recommenda- tion,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Modeling spatio- temporal neighbourhood for personalized point-of-interest recommenda- tion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.672578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.580187Z digest=sha256:a4c0e3b7b1374c520848793de0bc4a8f8b3c1ddd2306715eb14c5ab76f4dce03

Observation a79233c0-994f-467f-b3cd-c024d5090982 · outbound

This paper cites Dis- entangling geographical effect for point-of-interest recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Dis- entangling geographical effect for point-of-interest recommendation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.504872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.615980Z digest=sha256:b6b135d2ed6f1adf65dbd1816e8665faa7cfaee53ec248669ac45c2921ee06da

Observation fd194415-969e-477b-9bfc-fd33cb84a449 · outbound

This paper cites Learning time slot preferences via mobility tree for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Learning time slot preferences via mobility tree for next poi recommendation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.426148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.664833Z digest=sha256:c90e573e2ab8a445716f81293b8b4c1ccfa0276a68ffb0d56a3af999ca538e1a

Observation 2880a28d-aeb4-4507-a5a6-d3ff61632213 · outbound

This paper cites Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:03:48.712568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.714789Z digest=sha256:129eaf0def88edf0dfb595354f9633c73baadd70c0c5b55d99187614d03de95d

Observation 13ac4633-68be-427f-be8c-e62def1bf403 · outbound

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

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Taming the long tail in human mobility prediction,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.372955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.764828Z digest=sha256:287d29c91908b3ec858d4b3823e1cf608de8dea52e079d59bd32a53913a46a91

Observation d00ab4c8-3677-4dab-88d3-2540efc780bc · outbound

This paper cites A category-aware deep model for successive poi recommendation on sparse check-in data,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction A category-aware deep model for successive poi recommendation on sparse check-in data,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.228055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.814832Z digest=sha256:daf5783de4bc22a5b1f2a8c5ebeef8bc6d4b5238b6808965514fbbe4a61295af

Observation 8deb956b-ba54-4284-9efe-5a013695f5f1 · outbound

This paper cites Exploiting category-level multiple characteristics for poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Exploiting category-level multiple characteristics for poi recommendation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:51.119025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.868264Z digest=sha256:cc4cad6dc4683e69c23e55c3856ce25ec9e9bd3cee396ef40d254778a94206a4

Observation 4c61454f-e77a-4e9f-a803-45f2cde72398 · outbound

This paper cites Human mobility prediction with causal and spatial-constrained multi-task network,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Human mobility prediction with causal and spatial-constrained multi-task network,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.984738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.924753Z digest=sha256:1b7d5e882f89a3e72557293f97b8e8740f69569d897d87f5d313108c314b1616

Observation b7cf1ae2-e527-445d-8b08-d7d8ad557128 · outbound

This paper cites Adamove: Efficient test-time adaptation for human mobility prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Adamove: Efficient test-time adaptation for human mobility prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.872620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:46.975843Z digest=sha256:79688aba0ded1b50daf88ecbe97fc2c866f037bba52fdf6efb1db017d1e3ddb8

Observation 5ee1d214-2c78-4c01-a2c3-925314b4e80b · outbound

This paper cites Hyperbolic multi-semantic transition for next POI recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Hyperbolic multi-semantic transition for next POI recommendation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.759477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.016295Z digest=sha256:a87ea19431002f9f2dc7fe7d601b0767c2aeaa7ec99e6eef011e8f98631c2127

Observation ea9f2063-fbdb-49e0-971e-6355d94afc5f · outbound

This paper cites Mixing individual and collective behaviors to predict out- of-routine mobility,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Mixing individual and collective behaviors to predict out- of-routine mobility,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.694441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.042564Z digest=sha256:9f8644662c0f7e3da4aabb2c5b1d273f3c4f2fab1e1f314e53e7a86fc6b1c6fc

Observation 34ed8ba2-1e1c-4e22-a68e-b4bdbd1ce87c · outbound

This paper cites A universal model for human mobility prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction A universal model for human mobility prediction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.643969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.092175Z digest=sha256:930f42d68edfa09e59a7f3e0f7d11a659ae5d92f0a96d0081e7b372747d49548

Observation 33a6fd4a-6de1-4b4f-97b1-91bf6fcb7560 · outbound

This paper cites Stgcn: a spatial-temporal aware graph learning method for poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Stgcn: a spatial-temporal aware graph learning method for poi recommendation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.587325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.124990Z digest=sha256:74928b65a851c9ca2146d6def03c7188afd0276adfbfd6391f9358c9bf5de6d3

Observation 7fce429d-e847-4139-a413-39a3f433ee1b · outbound

This paper cites Next poi recommendation with dynamic graph and explicit dependency,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Next poi recommendation with dynamic graph and explicit dependency,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.540388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.175093Z digest=sha256:d60e4e0333e63cbf1bdf20593acff76f39dc273030f323ea3878a002b5ea71f5

Observation dee57db5-b95c-4cf4-bb97-64cddbb9e7ca · outbound

This paper cites Adaptive graph representation learning for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Adaptive graph representation learning for next poi recommendation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.454572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.221254Z digest=sha256:e7feba8bb4132e869d1b1ed4d75dba3f442840074ddbddffe2d39fb5a5852501

Observation dd2221be-430d-46c6-be5b-0f6b1fa3a53f · outbound

This paper cites Eedn: Enhanced encoder-decoder network with local and global context learn- ing for poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Eedn: Enhanced encoder-decoder network with local and global context learn- ing for poi recommendation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.352016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.260413Z digest=sha256:f90e30192f03f7e9edb0aa4ea864c71c224fd9cbfcb86bba08b94a8f26c02364

Observation f94202f3-3e73-400a-b7a4-5ca39c21170c · outbound

This paper cites Revisiting mobility modeling with graph: A graph transformer model for next point-of-interest recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Revisiting mobility modeling with graph: A graph transformer model for next point-of-interest recommendation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.231987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.300506Z digest=sha256:cea610b0afef38edf70fba301153c2e11e3df54acd465c7dad6c87bc6094de51

Observation 22f6c3f4-b78c-44b7-84b5-0ac3db094fd3 · outbound

This paper cites Graph- enhanced spatial-temporal network for next poi recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Graph- enhanced spatial-temporal network for next poi recommendation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.171053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.336502Z digest=sha256:f48f188acb62142da6750ba968b845d8e1f84ba363667db827f0914d1e7ac881

Observation e2ccf39d-8514-47f1-ac74-012cc91f336d · outbound

This paper cites Rlmob: Deep reinforcement learning for suc- cessive mobility prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Rlmob: Deep reinforcement learning for suc- cessive mobility prediction,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:50.060015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.374765Z digest=sha256:290f16f095fd67bdaff5b4e911a5d58d4192eb04fd48a1c15d0304e1768dc6c3

Observation 34eb397a-d6a2-4d17-a797-807bca620399 · outbound

This paper cites Multi-perspective spatiotemporal context-aware neural networks for human mobility prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Multi-perspective spatiotemporal context-aware neural networks for human mobility prediction,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.906255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.446732Z digest=sha256:6a3de8296d7f65154e14ad9a7308238e42aab9135d7c318e51190f291749cffd

Observation 04388349-78b3-4741-b40e-37db23852a77 · outbound

This paper cites Cell-level trajectory prediction us- ing time-embedded encoder-decoder network,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Cell-level trajectory prediction us- ing time-embedded encoder-decoder network,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.799017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.474761Z digest=sha256:a70b9f0093ed4be90ff5c72ff33f8e84fd3b0b87f0da741563fcd3150f94d486

Observation 8a077d00-6a45-4a3a-8b27-e76fde550f28 · outbound

This paper cites A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility prediction,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility prediction,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.678100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.524917Z digest=sha256:fe51df4db400bcc421393bdbc4bc2fe83a4e682da46c77ab9ad2fec33a91c4d8

Observation c6e2da2d-05d4-4f84-a5e1-7be418c9cbfa · outbound

This paper cites Unravelling daily human mobility motifs,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Unravelling daily human mobility motifs,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.604754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.584845Z digest=sha256:456cb71a847bd21065fa2df62daa2ff077b62bbd2ed0837cfdfde5aa5cc1385e

Observation c057dc18-4e3a-47d2-9041-1191e498afdb · outbound

This paper cites Inductive representation learning on large graphs,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Inductive representation learning on large graphs,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:47.644870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:03:47.644870Z digest=sha256:626116426adb86dc56c8ad73046ac4c470a67e0ceeb055e5a7f086e0773c0bf2

Observation 04ea4b8a-59f7-4585-804f-e73a620a01a4 · outbound

This paper cites Graph attention networks,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Graph attention networks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.418380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.681562Z digest=sha256:a73d8a3ceafdbc20303a4a984365024a676ec516e87e2cc46dca4f1f1b69a7c9

Observation 724bc38a-3c03-4be5-b592-1bac76f05111 · outbound

This paper cites Attention is all you need,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Attention is all you need,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:47.757137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:03:47.757137Z digest=sha256:c5b26e9bf0daf9797ff4aa54bcd506d88ed1a7b78eb2a392c1ffc93440aef07d

Observation 0edae6f8-c7a2-4564-ab7f-107202cca326 · outbound

This paper cites Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:47.794570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:03:47.794570Z digest=sha256:ceaa1c327088b198cd0d35e81e7a860bbef6c4600d6ad54b80c9d3905237fd84

Observation 841d00cd-a91f-43cb-9bfa-01b8efbf257d · outbound

This paper cites Graph-flashback network for next location recommendation,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Graph-flashback network for next location recommendation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.249381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.833764Z digest=sha256:3cc9fc042c4cdf9d073958d48fa0a528cd8768b27d56a1d78bab1b178895f864

Observation fbfbc6c3-856f-4e9d-bc57-148124c3f68d · outbound

This paper cites Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T21:03:48.398691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.874903Z digest=sha256:a567b276d6dafda3e6338cdcf1841e20374a9fe83385e3c3c91ca0eaafbbf089

Observation 752c73fc-16c0-4a7e-b779-4114da156d68 · outbound

This paper cites Systematic comparison of trip distribution laws and models,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Systematic comparison of trip distribution laws and models,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.175062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.914748Z digest=sha256:6f1e72015b82bbecccbbb44d64063ff0bf8be9364eb9f7a5eb67e0998baef950

Observation 240c7ffb-a838-451a-9bbf-48ebe78b2a57 · outbound

This paper cites Effect of non- pharmaceutical interventions to contain covid-19 in china,.

Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction Effect of non- pharmaceutical interventions to contain covid-19 in china,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:03:49.114846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T21:03:47.975208Z digest=sha256:13def930ade73c32fed31df8454844c2075dedc43ead42942f44d57324397ff6

Pith citing papers

No inbound Pith citation observations are available.