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Paper Citation Record · LEDGER

Where Would I Go Next? Large Language Models as Human Mobility Predictors

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2308.15197.

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

pith.paper-citation-record.v1
2308.15197 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:03:11.492724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.287930Z

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Outbound references

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Pith citing papers

Observation 951c180e-7b61-4d25-a6e6-cc83cae8f4fa · inbound

Harnessing Large Language Models for Group POI Recommendations cites this paper.

Harnessing Large Language Models for Group POI Recommendations Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 38

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source=pdf_text observed=2026-08-12T16:31:03.822613Z digest=sha256:e15c3bda9cdf2123b06af788c83a16451d586b8a2b19c474cbba0df90f1d5b0b

Observation e7c92bf9-a46c-41dc-a966-91c7d6bba26e · inbound

Popular LLMs Amplify Race and Gender Disparities in Human Mobility cites this paper.

Popular LLMs Amplify Race and Gender Disparities in Human Mobility Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 12

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source=pdf_text observed=2026-08-12T18:04:26.731119Z digest=sha256:a41c6bf2262cae0b8c9e2a1b411a4f46d40625a434ec7e8b22de20330a7106ba

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

Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors cites this paper.

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

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source=pdf_text observed=2026-08-12T14:36:51.408736Z digest=sha256:80c64666c3f3f849003fbd00a7b4a6c9b78df2193058a005f985775f80178da0

Observation 6c33df4c-90e4-4f8d-88c6-40ff3761f6be · inbound

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 86

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source=pdf_text observed=2026-08-12T04:54:41.162904Z digest=sha256:c020c790fee06f35fa5860813156c5368f4972f0fac471c84617acc0cbef6891

Observation dfd88247-531f-4fec-9193-71105e65cd5a · inbound

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

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 34

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source=pdf_text observed=2026-08-11T23:52:11.746769Z digest=sha256:69def848857e3c3624ff992061d587326ffeb584b5db0dd1da84580543494329

Observation de630364-348d-4f2a-9fb5-d846063919f5 · inbound

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data cites this paper.

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 20

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source=pdf_text observed=2026-08-11T23:24:18.676524Z digest=sha256:63c93ceb1ed153a4c4ab388cd70ab9fa5d9d750bb840b3041a512c59dc5e5671

Observation bef3ca06-b53e-4db2-b9fa-df5362b60246 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 105

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source=arxiv_source observed=2026-08-11T19:28:54.648837Z digest=sha256:d564ac17c425762d5f0cb244179919b3fab10e9cfdf781553b8ecc6d1e89d598

Observation 8f7ba8d1-d316-4afe-8182-64eb63264bb2 · inbound

Human Behavior Simulation: Objectives, Methodologies, and Open Problems cites this paper.

Human Behavior Simulation: Objectives, Methodologies, and Open Problems Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 196

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source=pdf_text observed=2026-08-12T12:32:34.989975Z digest=sha256:df837b37dc12c22bd653134378ad29d2dac908136f52b2230cf308d6f32fc7df

Observation ecd34b06-bf6f-4fdc-a154-0cb0b1969f0c · inbound

A Universal Model for Human Mobility Prediction cites this paper.

A Universal Model for Human Mobility Prediction Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 49

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source=pdf_text observed=2026-08-11T12:07:02.361204Z digest=sha256:1fdb2f222beff8eacc2699c5d46440c3e6fd924e5b525e882da445acf4f7d158

Observation bc30ab37-8be1-49a4-99da-2284ce663a53 · inbound

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents cites this paper.

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 51

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source=pdf_text observed=2026-08-07T14:47:16.540853Z digest=sha256:1099962e7e3d1241a3684597635aa37a7e84c7292bf410d444d758090e9c26cd

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

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction cites this paper.

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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source=pdf_text observed=2026-08-07T12:24:21.786772Z digest=sha256:d8a10cfd723cc5fcf765b9e0c4de2582cb4d0603a36afffea200b623862ca046

Observation 13099e02-80a2-493e-9b17-a836816d5b9d · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 198

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source=pdf_text observed=2026-08-07T11:49:48.305946Z digest=sha256:2441fcf46043e9417d1a87545e492dc2152699eb3b9d7c5b7d0e7cd53a232180

Observation 88209448-3433-4bb6-878d-368145c32182 · inbound

Generative Next POI Recommendation with Semantic ID cites this paper.

Generative Next POI Recommendation with Semantic ID Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 35

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source=pdf_text observed=2026-08-07T11:50:23.244682Z digest=sha256:387a8dee330bbaebac518daa6ff8d80ac655b566cdf1979ec6acc8dc66504b5d

Observation 82e734ce-1040-4d19-b231-3c0eed1e40b7 · inbound

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation cites this paper.

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 36

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source=pdf_text observed=2026-08-15T20:03:11.492724Z digest=sha256:254161d3487e01c890076be0b4dcefe3b7ddb0a6f9fd5d639b750304877624e8

Observation 82c266b7-8773-4bb5-aca4-50611c33b996 · inbound

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places cites this paper.

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 35

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source=pdf_text observed=2026-08-15T19:57:41.851140Z digest=sha256:a463c173f3e8fef6736c664b02434a87dd34f32b42921c130302ca8fd898f92d

Observation 1c4f74d8-e91e-4779-8cf7-b680882f344d · inbound

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs cites this paper.

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 34

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source=pdf_text observed=2026-08-06T23:01:34.688526Z digest=sha256:5956f974e40194193dd66e6019becf100ad2684298934c3f3aec8791ee09a84a

Observation 8d59792a-0959-4425-8dad-8d826ca3f82e · inbound

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models cites this paper.

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 11

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source=pdf_text observed=2026-08-06T22:24:25.130623Z digest=sha256:88526bc18c1bafb3264239afade91c57b34474d73b195bf76a09ae82c784b4d4

Observation 416553cc-6a3a-4f61-97e2-3e2e111a8b71 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 173

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source=pdf_text observed=2026-08-06T21:07:11.268056Z digest=sha256:48d43607f39e2ea8d1c1fa496de1e4d11a479e6eaebc0663b61ed58abe8ac453

Observation c1f292d4-56bf-43a0-8603-c936931710a4 · inbound

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting cites this paper.

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 20

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source=pdf_text observed=2026-08-06T15:04:11.393265Z digest=sha256:8ff1c57552d14e3452b93c31279fd78a30fccc68d2e53f6e881371fdd186ce3d

Observation 37c28dd9-b82c-4100-b2c2-a8688f194841 · inbound

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning cites this paper.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 48

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source=arxiv_source observed=2026-08-06T14:20:39.536466Z digest=sha256:a9434cc0bc4509cd407c011c3c25ebc5a9c5234a2d3a97883a1c8c5f930855dd

Observation cecf5b1d-e344-480e-bb23-c5e8322a907a · inbound

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction cites this paper.

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 18

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arxiv_id, observed 2026-05-15T11:15:30.120345Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T11:12:59.755023Z digest=sha256:d77b3b878e131e7fceb153cfd5350c8036e8129bfcfe4941950d18c1114a4c61

Observation 0ecd6924-7255-4525-8632-8f6b26b3a746 · inbound

ARMove: Learning to Predict Human Mobility through Agentic Reasoning cites this paper.

ARMove: Learning to Predict Human Mobility through Agentic Reasoning Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 45

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arxiv_id, observed 2026-05-10T05:36:01.693666Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T05:33:51.021640Z digest=sha256:bf4726797ffe5cfa525329cfb41ef7a593f76273970ad57410d94947189e5217

Observation 4ce42b56-9726-4826-9ba2-a339294102ed · inbound

Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction cites this paper.

Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 34

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arxiv_id, observed 2026-05-11T21:16:17.581283Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T06:13:05.491003Z digest=sha256:c50e57f5056e8b7136187948bc64b84fbe15385505c16821ef94bdd0f5f45a5b

Observation a36adeba-a33d-4616-ba7a-c033683254ae · inbound

Towards Efficient and Evidence-grounded Mobility Prediction with LLM-Driven Agent cites this paper.

Towards Efficient and Evidence-grounded Mobility Prediction with LLM-Driven Agent Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 42

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arxiv_id, observed 2026-07-02T07:16:44.640746Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T07:02:56.386723Z digest=sha256:b94a077b35df0c95527154830337109c9bf80a5f715d7991e1a37b12c7057682

Observation 436e96f4-04d6-4d39-b936-ed61f7491673 · inbound

Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction cites this paper.

Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 35

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arxiv_id, observed 2026-07-02T21:17:24.289341Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T19:52:57.557478Z digest=sha256:a86dba2f42281940bc436428d9acc76cc875a6c011506b2908e5bad609fb36a0

Observation ccc767ce-a3e3-4d33-9ecf-5e0d4865e902 · inbound

Think2Go: Generative Next POI Recommendation with LLM Reasoning cites this paper.

Think2Go: Generative Next POI Recommendation with LLM Reasoning Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 51

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source=pdf_text observed=2026-08-03T15:48:01.709642Z digest=sha256:073b373ca27f0ad90076af724ef2e73bf9051d3eea64fff6a22a84fe1953f814

Observation 4faa4b62-7fa0-42a7-bc58-777c5bb0d00a · inbound

Secrets Everywhere: Auditing Memorization in Mobility Prediction Models cites this paper.

Secrets Everywhere: Auditing Memorization in Mobility Prediction Models Where Would I Go Next? Large Language Models as Human Mobility Predictors

Reference 35

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source=pdf_text observed=2026-08-04T16:04:36.653385Z digest=sha256:4091ba62396994c735cb434d4a5a5319bafba12a984515d2757ebdd78ffc683b