Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.10853.

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

pith.paper-citation-record.v1
2506.10853 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:32.138518Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:49:02.885793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.860901Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy34
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1563ee97-01c3-4496-93fd-f2ad95e2fc98 · outbound

This paper cites A review of human mobility research based on big data and its implication for smart city development.ISPRS International Journal of Geo-Information, 10(1):13, 2020.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models A review of human mobility research based on big data and its implication for smart city development.ISPRS International Journal of Geo-Information, 10(1):13, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.948782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7fa77c0-c1e1-4920-9a0e-40c0e9d86fc0 · outbound

This paper cites Human mobility data and analysis for urban resilience: A systematic review.Environment and Planning B: Urban Analytics and City Science, 49(5):1507–1535, 2022.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Human mobility data and analysis for urban resilience: A systematic review.Environment and Planning B: Urban Analytics and City Science, 49(5):1507–1535, 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.934847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34e9f9ac-e52a-4459-a0de-511e782f1b5b · outbound

This paper cites Spatiotemporal data mining: a survey on challenges and open problems.Artificial Intelligence Review, pages 1–48, 2022.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Spatiotemporal data mining: a survey on challenges and open problems.Artificial Intelligence Review, pages 1–48, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.921291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 773d09af-317a-4735-9b91-44e210b63561 · outbound

This paper cites Data-driven generation of spatio-temporal routines in human mobility.Data Mining and Knowledge Discovery, 32(3):787–829, 2018.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Data-driven generation of spatio-temporal routines in human mobility.Data Mining and Knowledge Discovery, 32(3):787–829, 2018

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.906319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b58b3158-26b1-44a3-ba63-00a897bf0105 · outbound

This paper cites Modeling, replicating, and predicting human behavior: A survey.ACM Transactions on Autonomous and Adaptive Systems, 18(2):1–47, 2023.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Modeling, replicating, and predicting human behavior: A survey.ACM Transactions on Autonomous and Adaptive Systems, 18(2):1–47, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.891338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c6c0c29-4e11-499e-9ddd-634bde7810e6 · outbound

This paper cites Evaluating Spatial Understanding of Large Language Models.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Evaluating Spatial Understanding of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.952262Z

Source-reported events for the cited work

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

This paper cites Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints.

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 4a4ff5cc-8337-4440-966e-c587f3fa8652 · outbound

This paper cites Homogenizing effect of large language model (llm) on creative diversity: An empirical comparison of human and chatgpt writing.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Homogenizing effect of large language model (llm) on creative diversity: An empirical comparison of human and chatgpt writing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.876125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8adebdfe-b66b-40a0-9a90-28e280357c28 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.966414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bc9e64-7644-4ee5-80af-1275f7c45791 · outbound

This paper cites Agent-based pedestrian modeling, 2001.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Agent-based pedestrian modeling, 2001

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.861827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4f4e768-3c06-4719-8b6e-b98a81e921d9 · outbound

This paper cites Ubiquity Press, 2016.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Ubiquity Press, 2016

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.847561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6fe26d96-2682-4e99-8a00-20dfdbc2443d · outbound

This paper cites California Institute of Technology, 2018.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models California Institute of Technology, 2018

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.833427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d94578e5-f1ed-4cd0-bc55-184167815d69 · outbound

This paper cites Multi-agent game abstraction via graph attention neural network.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Multi-agent game abstraction via graph attention neural network

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.819294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65bb3fdd-0c3b-49be-850b-402a1f31055c · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Generative agents: Interactive simulacra of human behavior

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.987697Z

Source-reported events for the cited work

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Observation 29d459df-61e4-4872-9974-c627d50925e5 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.991664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702de685-a85e-4159-89f0-b3bf7033b58a · outbound

This paper cites Creating large language model applications utilizing langchain: A primer on developing llm apps fast.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Creating large language model applications utilizing langchain: A primer on developing llm apps fast

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.794729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa44f7ad-cb31-46da-add3-fe0d3aa9e04d · outbound

This paper cites What about people in regional science.Transport Sociology: Social aspects of transport planning, pages 143–158, 1970.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models What about people in regional science.Transport Sociology: Social aspects of transport planning, pages 143–158, 1970

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.780787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7d8e546-3656-448b-9a5a-b1ab932a2ffb · outbound

This paper cites Human activity patterns in the city: Things people do in time and in space., 1975.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Human activity patterns in the city: Things people do in time and in space., 1975

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.767442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e42c0627-0855-4886-8c7a-2026727f3849 · outbound

This paper cites The promises of big data and small data for travel behavior (aka human mobility) analysis.Transportation research part C: emerging technologies, 68: 285–299, 2016.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models The promises of big data and small data for travel behavior (aka human mobility) analysis.Transportation research part C: emerging technologies, 68: 285–299, 2016

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.753551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3326796-2064-4cd8-bc87-1e07cf9b74de · outbound

This paper cites Discovering urban activity patterns in cell phone data.Transportation, 42:597–623, 2015.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Discovering urban activity patterns in cell phone data.Transportation, 42:597–623, 2015

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.739365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27c9866d-0941-4e2d-b652-b5449103df7f · outbound

This paper cites Using mobile positioning data to model locations meaningful to users of mobile phones.Journal of urban technology, 17(1):3–27, 2010.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Using mobile positioning data to model locations meaningful to users of mobile phones.Journal of urban technology, 17(1):3–27, 2010

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.724025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12eb5c44-c3dd-441d-a0f8-c573401cc953 · outbound

This paper cites Mining daily activity chains from large-scale mobile phone location data.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Mining daily activity chains from large-scale mobile phone location data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.707811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9db76eb1-9c84-428f-8876-20752631c2c5 · outbound

This paper cites Comprehensive econometric microsimulator for daily activity-travel patterns.Transportation Research Record, 1894(1):57–66, 2004.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Comprehensive econometric microsimulator for daily activity-travel patterns.Transportation Research Record, 1894(1):57–66, 2004

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.694142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e77cb33a-5ed1-43e5-87cb-6e0f80eb9273 · outbound

This paper cites Albatross: multiagent, rule-based model of activity pattern decisions.Transportation Research Record, 1706(1):136–144, 2000.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Albatross: multiagent, rule-based model of activity pattern decisions.Transportation Research Record, 1706(1):136–144, 2000

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.679379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a490d575-2778-4719-95e6-a2be3b15fb19 · outbound

This paper cites Validation of tasha: A 24-h activity scheduling microsimulation model.Transportation Research Part A: Policy and Practice, 42(2):360–375, 2008.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Validation of tasha: A 24-h activity scheduling microsimulation model.Transportation Research Part A: Policy and Practice, 42(2):360–375, 2008

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.665588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46881c4a-9db0-4e39-abe8-0afd00f40843 · outbound

This paper cites Data-driven activity scheduler for agent-based mobility models.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Data-driven activity scheduler for agent-based mobility models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.651668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce03a464-9043-4769-96aa-ad746daecfb4 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.041918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae04add0-469f-499d-b543-5b78bf5ed329 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.046075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a110fe4-a898-4af6-91ba-55475bc4e367 · outbound

This paper cites Exploring large language models for human mobility prediction under public events.Computers, Environment and Urban Systems, 112:102153, 2024.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Exploring large language models for human mobility prediction under public events.Computers, Environment and Urban Systems, 112:102153, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.627156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c2c3067-d8bf-4da4-a6ec-0a8c8de450c9 · outbound

This paper cites nextlocllm: next location prediction using llms.arXiv preprint arXiv:2410.09129, 2024.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models nextlocllm: next location prediction using llms.arXiv preprint arXiv:2410.09129, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.054787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63690940-24be-4799-be38-f7501bd2ed56 · outbound

This paper cites AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.059057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5655d280-b23a-4b21-8d9a-1626275d5ccf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.063245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc70b7e-c4c7-4773-930e-fa5842b9f9d2 · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.067416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce9a260-722a-4e4b-8804-221e108a774d · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Toolformer: Language models can teach themselves to use tools

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.071428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3493d85-0913-48f4-8482-1e89ebe91835 · outbound

This paper cites Trafficgpt: Viewing, processing and interacting with traffic foundation models.Transport Policy, 150:95–105, 2024.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Trafficgpt: Viewing, processing and interacting with traffic foundation models.Transport Policy, 150:95–105, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.582694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 672a0e26-7e98-447e-8af0-472f66f760a4 · outbound

This paper cites Large Language Model for Participatory Urban Planning.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Large Language Model for Participatory Urban Planning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.079471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61bbd8be-4239-44a4-a69c-f78754df7ba0 · outbound

This paper cites UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.084157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9062b509-0beb-47d6-a4b3-2e826dd61fac · outbound

This paper cites Mapreduce: simplified data processing on large clusters.Communications of the ACM, 51(1):107–113, 2008.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Mapreduce: simplified data processing on large clusters.Communications of the ACM, 51(1):107–113, 2008

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.568050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 569fcf78-16d6-4570-b003-5242b642acb8 · outbound

This paper cites Spark: Cluster computing with working sets.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Spark: Cluster computing with working sets

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.552949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15ab2983-72fa-4600-9aa8-5f36e5cacc52 · outbound

This paper cites Ray: A distributed framework for emerging {AI} applications.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Ray: A distributed framework for emerging {AI} applications

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.096434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb3dc669-d704-4881-a4c7-b6fd2586a925 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.529296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6421c1f7-c1c5-4763-be76-385b23bfe915 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Efficient memory management for large language model serving with pagedattention

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:32.104078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73c989a-e31e-4d71-92e5-bcf8a5362f5d · outbound

This paper cites A behavioral model of rational choice.The quarterly journal of economics, pages 99–118, 1955.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models A behavioral model of rational choice.The quarterly journal of economics, pages 99–118, 1955

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.504644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97e89f4d-3e81-4bd5-8a6b-06db86de2382 · outbound

This paper cites Activity space is highly correlated with cognitive maps.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Activity space is highly correlated with cognitive maps

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.490375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e95b201-a000-43e6-bde9-67ac19aa094d · outbound

This paper cites Women spend more time on household tasks.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Women spend more time on household tasks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.475213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da8ef7cf-a1cb-4ffc-a955-716f2334f775 · outbound

This paper cites Leisure activities value environmental quality.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Leisure activities value environmental quality

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.459636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 98702189-a883-49bb-8ab2-79830b903374 · outbound

This paper cites Cost weight decreases with in- come.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Cost weight decreases with in- come

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.445720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5641c5a6-a95f-4b1f-9139-40e62e3de396 · outbound

This paper cites Few activity points constitute most chains.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Few activity points constitute most chains

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.431408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e7c1079-e38b-4a29-96c8-2293933328ae · outbound

This paper cites Vul- nerable groups have fewer accessible facilities.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Vul- nerable groups have fewer accessible facilities

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.417789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ede76dc-f2c8-4301-a97c-ae53e77a10a4 · outbound

This paper cites Answer:.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Answer:

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:32.402789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 371fbd43-0167-4dd3-bee9-6dd58e29c831 · inbound

TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation cites this paper.

TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:48:02.862336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.