Paper Citation Record · LEDGER

Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2408.13918.

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

pith.paper-citation-record.v1
2408.13918 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:41.351825Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:56:59.067288Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0a32344c-3712-4f04-ac38-170d65ec56e3 · inbound

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories cites this paper.

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:41.351825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63bc4f0d-08be-4680-8fba-0f871f348444 · inbound

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models cites this paper.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.957658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea5b314-ee18-4ab2-8483-2764f3ef176e · inbound

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant cites this paper.

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:54.441509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac74ee7-8a4b-44c4-a8e0-4229af231dd9 · inbound

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning cites this paper.

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:21:24.312663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34f73013-9000-4c6f-b683-defa6737e326 · inbound

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance cites this paper.

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T22:50:36.959313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2783d5-7600-49ed-ba46-ca72b107cff4 · inbound

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation cites this paper.

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T22:50:30.223562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d41e579-c828-4a6e-827c-95529da9a81f · inbound

SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces cites this paper.

SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.776911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 992b6b30-d7a7-408e-b49f-65ab26af87d3 · inbound

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models cites this paper.

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.776513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13dff04b-71f0-4d2b-afb0-a601db7b594d · 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 Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:16:44.630150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfeee996-2688-44a2-8545-909083801168 · inbound

MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation cites this paper.

MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:56:59.070914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation efb9d1cb-986c-4a64-8764-489bcafe496b · inbound

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

Think2Go: Generative Next POI Recommendation with LLM Reasoning Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:47:58.867405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.