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Paper Citation Record · LEDGER

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.13239.

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

pith.paper-citation-record.v1
2607.13239 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:52:53.767225Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 42afd6be-8dac-4ed8-b4c5-15e3ccbca00b · outbound

This paper cites Next generation of traffic manage- ment systems and centers: A primer,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Next generation of traffic manage- ment systems and centers: A primer,

Reference 1

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Observation 6252e1e6-72bc-4c76-b699-77fcb42e922a · outbound

This paper cites Next generation transportation management centers and transportation management systems: Executive briefing,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Next generation transportation management centers and transportation management systems: Executive briefing,

Reference 2

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Observation 7b9d8c61-aaa4-40cc-8e80-71627f288ec2 · outbound

This paper cites Ultralytics YOLOv8.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Ultralytics YOLOv8

Reference 3

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Observation 8454a9ba-b9b4-412b-bad5-5e05d2120d3a · outbound

This paper cites Harnessing large language models for training-free video anomaly detection,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Harnessing large language models for training-free video anomaly detection,

Reference 4

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Observation 13e1acaf-9c0a-435b-be9c-3bdb7454aa11 · outbound

This paper cites To- wards explainable traffic flow prediction with large language models,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management To- wards explainable traffic flow prediction with large language models,

Reference 5

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Observation 3d2ff161-dc4a-4f4f-b4fe-6b91765d400c · outbound

This paper cites Open-ti: Open traffic intelligence with augmented language model,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Open-ti: Open traffic intelligence with augmented language model,

Reference 6

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Observation a3944983-a8f0-430c-8908-6bf0b06a5d2f · outbound

This paper cites Llmlight: Large language models as traffic signal control agents,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Llmlight: Large language models as traffic signal control agents,

Reference 7

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Observation e0c9664f-66d7-4e15-b5ea-95b9f79232a3 · outbound

This paper cites Large language models for intelligent transportation: A review of the state of the art and challenges,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Large language models for intelligent transportation: A review of the state of the art and challenges,

Reference 8

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Observation 031109e7-5a93-4e4a-a985-529918a2ccc6 · outbound

This paper cites Large language models for mobility analysis in transportation systems: A survey on forecasting tasks,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Large language models for mobility analysis in transportation systems: A survey on forecasting tasks,

Reference 9

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Observation d4f4df9f-c544-49da-b711-b0d871c63dd7 · outbound

This paper cites Multimodal perception and decision-making systems for complex roads based on foundation models,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Multimodal perception and decision-making systems for complex roads based on foundation models,

Reference 10

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Observation 6ec9ef4f-e5ac-4120-b1d3-259c02323338 · outbound

This paper cites API pricing.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management API pricing

Reference 11

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Observation 582ef94f-2ce8-4c0e-816e-75b2466370b5 · outbound

This paper cites Gemini API pricing.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Gemini API pricing

Reference 12

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Observation 4fb7789c-571b-4aa6-be9b-3b8e26b7255a · outbound

This paper cites The Llama 3 Herd of Models.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management The Llama 3 Herd of Models

Reference 13

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Observation fb2abe33-2a5b-4229-9650-14f35ef56544 · outbound

This paper cites Inference pricing.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Inference pricing

Reference 14

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source=pdf_text observed=2026-08-02T05:52:50.703103Z digest=sha256:09c08050602b43a7eaa3e08aaca19f86a9d3891b43c7958a8c28806c52b2f18f

Observation a442014a-872b-4b3b-9902-584201b566fd · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 15

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Observation 08904065-e8ed-44bd-bea3-24bd9aace782 · outbound

This paper cites Routellm: Learning to route llms from preference data,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Routellm: Learning to route llms from preference data,

Reference 16

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Observation 60594fd9-3d1e-4a3e-96d2-19f2a96ee09e · outbound

This paper cites Thriftllm: On cost-effective selection of large language models for classification queries,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Thriftllm: On cost-effective selection of large language models for classification queries,

Reference 17

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Observation 68198b91-d693-4004-bc92-eec64eddbda6 · outbound

This paper cites {INFaaS}: Automated model-less inference serving,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management {INFaaS}: Automated model-less inference serving,

Reference 18

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Observation a9308c23-df3d-4f6e-9449-4d6e9aa83183 · outbound

This paper cites Dota: Unsupervised detection of traffic anomaly in driving videos,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Dota: Unsupervised detection of traffic anomaly in driving videos,

Reference 19

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Observation d6ed4ced-32c2-49b8-b65f-1d9d90ee4487 · outbound

This paper cites Hybrid llm: Cost-efficient and quality-aware query routing,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Hybrid llm: Cost-efficient and quality-aware query routing,

Reference 20

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Observation 699fe5e1-36cb-4d67-9e44-cd6fed70237a · outbound

This paper cites A unified approach to routing and cascading for llms,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management A unified approach to routing and cascading for llms,

Reference 21

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Observation d8570063-dda9-484e-b06c-a0f7a7c9eb67 · outbound

This paper cites Fly-swat or cannon? cost- effective language model choice via meta-modeling,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Fly-swat or cannon? cost- effective language model choice via meta-modeling,

Reference 22

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Observation cc419b6a-62fb-4857-9721-8374e041a536 · outbound

This paper cites Cloud or on-premise? a strategic view of large language model deployment,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Cloud or on-premise? a strategic view of large language model deployment,

Reference 23

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Observation a5d58758-0e5e-4ea3-99ff-f4d74c521b1f · outbound

This paper cites A middle path for on-premises llm deployment: Preserving privacy without sacrificing model confidentiality,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management A middle path for on-premises llm deployment: Preserving privacy without sacrificing model confidentiality,

Reference 24

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Observation 8c4d1f7a-8b89-4e5a-8f54-ffc8a8a8f6d1 · outbound

This paper cites A multiplier adjustment method for the generalized assignment problem,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management A multiplier adjustment method for the generalized assignment problem,

Reference 25

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Observation 98bed077-3f3a-419b-93cc-02d6a4e6c6d1 · outbound

This paper cites Assignment problems: A golden anniversary survey,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Assignment problems: A golden anniversary survey,

Reference 26

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Observation 8f32c728-b661-4c6f-9b57-2dd4e9c074c9 · outbound

This paper cites M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

Reference 27

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Observation 497a5195-8947-4186-8b3f-871d45853115 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 28

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Observation de4b4bf4-c034-4fce-abbc-2f3e4dd4d125 · outbound

This paper cites A cost-benefit analysis of on-premise large language model deployment: Breaking even with commercial llm services,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management A cost-benefit analysis of on-premise large language model deployment: Breaking even with commercial llm services,

Reference 29

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source=pdf_text observed=2026-08-02T05:52:52.173409Z digest=sha256:0646a6d8379c5e213cbe4bee1316c70c9baab4edd2f6c5d28c319461bdf5baac

Observation b5026a15-9923-4b69-aa72-5110128fec9b · outbound

This paper cites LLM total cost of ownership 2025: Build vs. buy math.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management LLM total cost of ownership 2025: Build vs. buy math

Reference 30

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Observation e940f5e2-05c3-4feb-a039-f45b269a1f03 · outbound

This paper cites Cost of serving LLMs.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Cost of serving LLMs

Reference 31

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Observation 4513ffac-b17f-49cd-bd98-853cac73b7b7 · outbound

This paper cites Cost comparison: API vs self-hosting for open-weight LLMs.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Cost comparison: API vs self-hosting for open-weight LLMs

Reference 32

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Observation 31bd6777-82bd-40c0-b27f-8bd553c55fb3 · outbound

This paper cites The complete AI strategy guide: Cloud APIs vs self-hosted models.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management The complete AI strategy guide: Cloud APIs vs self-hosted models

Reference 33

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Observation 580c901e-e3b2-4cdf-836d-9522eb3c7ae3 · outbound

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

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Efficient memory management for large language model serving with pagedattention,

Reference 34

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Observation 1328e59e-63b0-4a85-af6e-0521093eee15 · outbound

This paper cites Sglang: Efficient execution of structured language model programs,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Sglang: Efficient execution of structured language model programs,

Reference 35

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Observation 3e07a2e8-8b5f-4063-9e68-f67bdb46c513 · outbound

This paper cites API pricing.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management API pricing

Reference 36

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Observation 0e42831f-5adc-40e7-90dc-b6b5a2ffb6e4 · outbound

This paper cites Qwen2.5-vl technical report,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Qwen2.5-vl technical report,

Reference 37

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Observation 1b6a71de-fd02-45fe-bbfe-fbe739100ac1 · outbound

This paper cites GPU cloud pricing.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management GPU cloud pricing

Reference 38

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Observation d32e6b1c-9df9-4e02-a69f-23f26b4381e7 · outbound

This paper cites GeForce RTX 4090.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management GeForce RTX 4090

Reference 39

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no resolver link, observed 2026-08-02T05:52:53.401616Z

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source=pdf_text observed=2026-08-02T05:52:53.401616Z digest=sha256:6abdd605d2b6309c2fdc51a2ca31a1a316779c772786262d1638eb3834580ce8

Observation 486f3cbe-3498-4b4c-9ab5-c648a4ad1a29 · outbound

This paper cites NVIDIA A100 tensor core GPU.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management NVIDIA A100 tensor core GPU

Reference 40

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source=pdf_text observed=2026-08-02T05:52:53.456073Z digest=sha256:87836089f2faea2939b8a9a2434687ffaf1df86c61f32d9400afae73395b78d4

Observation 6a66ae36-218a-4a91-8038-fc4e3fa13714 · outbound

This paper cites Reducibility among combinatorial problems,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Reducibility among combinatorial problems,

Reference 41

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no resolver link, observed 2026-08-02T05:52:53.540976Z

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source=pdf_text observed=2026-08-02T05:52:53.540976Z digest=sha256:5de694cdba405da4369c11c8e95714ac6e7d692a48c18726afd2390eec45e4fc

Observation baab8abe-ab7d-41f4-bbfd-7aa937961e4c · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 42

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source=pdf_text observed=2026-08-02T05:52:53.615382Z digest=sha256:06912b0ba5da298221d31f24ac6305af6d00bbbe4fee64b41195a64129ec955f

Observation 6ba44284-d9bb-487f-a143-58cfd3b0c126 · outbound

This paper cites Judging LLM-as-a-judge with MT-Bench and Chatbot Arena,.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Judging LLM-as-a-judge with MT-Bench and Chatbot Arena,

Reference 43

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source=pdf_text observed=2026-08-02T05:52:53.665043Z digest=sha256:0cc3fe55331dfa4884c15302293ed220dd7e9520e18409347d710a1fc7867880

Observation 6fc5357e-2ca0-4b8a-9705-9724686db3d7 · outbound

This paper cites Llm leaderboard.

Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management Llm leaderboard

Reference 44

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no resolver link, observed 2026-08-02T05:52:53.767225Z

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source=pdf_text observed=2026-08-02T05:52:53.767225Z digest=sha256:e2ed83bffd3634df3c68542132e1ec9f58eee441a8e7e9cb3f7255eda21ce393

Pith citing papers

No inbound Pith citation observations are available.