Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:22.399701Z
Paper Citation Record · LEDGER
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 3 inbound Pith citation observations for arXiv:2506.13068.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:39.618536Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:37:34.582129Z
Reference resolution
60 of 60 outbound references displayed
- verified exact1
- verified fuzzy24
- unresolved35
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2284ccdc-720f-4bda-bc84-561b7c7977e3 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:31.571674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 57522c89-02c8-42a4-86eb-ecf3f3cf6baf · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:31.427553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed0dc1fe-ce68-4c6f-b5d9-4a5e43fc9558 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:31.266655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2cd9198-bfcc-4c78-9604-ab3ddf896dcc · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:31.018064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5dd42a6a-52c9-41b3-8218-1cd62c3761d2 · outbound
This paper cites and Macharis, C.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:30.752244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f1f2414-6ace-4e78-b46c-830a8571e557 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:30.488003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 626fec08-1d7f-4c9d-8c7b-0b07572592e1 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol On the Opportunities and Risks of Foundation Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:17.517015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37501f18-fcec-4776-aac1-3fe5c1fea7ea · outbound
This paper cites C., Poschmann, P., Werner, J., and Zarnitz, S.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol C., Poschmann, P., Werner, J., and Zarnitz, S
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:30.249639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e60bd66a-8c50-444f-8b34-1dd3d55a87f7 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:29.926577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8cbdf526-237e-49f4-a938-0a27bad9f772 · outbound
This paper cites L., Jain, R., Emami, P., Wadsack, K., Ding, F., Sun, H., Gruchalla, K., Hong, J., Zhang, H., Zhu, X., and Kroposki, B.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol L., Jain, R., Emami, P., Wadsack, K., Ding, F., Sun, H., Gruchalla, K., Hong, J., Zhang, H., Zhu, X., and Kroposki, B
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:29.688161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66364a53-920a-470c-868a-e9631f1238db · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:29.489787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fe4527af-1b9c-4586-a460-96449a832fd9 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:29.166609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e1391804-c642-4641-83aa-5c5a653afbb5 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:28.949920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d410999-9b39-423f-90ba-2083442e5af1 · outbound
This paper cites and Sinha, D.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:28.733246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02e1dfaa-7225-4e05-a3b4-1a59361fb742 · outbound
This paper cites J., Foropon, C., Tiwari, M., and Gunasekaran, A.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol J., Foropon, C., Tiwari, M., and Gunasekaran, A
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:28.477147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aff5b3b6-1196-4c35-8764-32f0b3207095 · outbound
This paper cites and Weiss, G.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:28.228862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19081cda-92c0-4b07-ad95-58e06d9ad713 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:27.859228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 63f82a3c-2890-49ea-8211-d5cd468b6fbc · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:27.530317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91ef5012-67ee-464e-a4f4-e548e9641cac · outbound
This paper cites S., Jernegan, L.
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:27.308908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec1b5408-af2b-4905-9e49-391608b2d998 · outbound
This paper cites F., Connor, D., Fotheringham, A.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol F., Connor, D., Fotheringham, A
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:27.089131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 820cf74f-7836-4cf3-9d76-150417264cde · outbound
This paper cites From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:40:22.627390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 280abfe8-4ab9-452c-ba1d-17fd0ec054ef · outbound
This paper cites Parameter-efficient fine-tuning (peft) — hugging face documentation.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Parameter-efficient fine-tuning (peft) — hugging face documentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:26.941169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0233b7cc-7477-421a-af16-367cf2ce3299 · outbound
This paper cites Supervised fine-tuning trainer — hugging face trl documentation.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Supervised fine-tuning trainer — hugging face trl documentation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:26.790725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8f0b810-ed04-478e-a9b7-44e8b6d6966d · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:26.661133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f05f6cd-a565-4508-8016-f83b00ca330b · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:26.518755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 73cd4a34-ba39-4e2c-9868-f873f4f20f5a · outbound
This paper cites Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:19.247609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 774759bf-6ec7-42d5-8333-12ec04df5214 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:26.357042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f473c0de-8ae2-484c-95be-47aa06feafdb · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:26.195410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 88f356d8-c798-46d9-b3fb-a14f1367c319 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:26.069617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 96e7a52c-6851-4a3d-af1f-dc10fe32fae5 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.929551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6796ae1-569f-4a45-8b1a-65717f8fc8e9 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.815489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 94108e58-b19e-4ce1-960d-60a571f3633d · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.697766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2530c08e-3c09-4c7a-88aa-a92988165f3e · outbound
This paper cites I., Sathvik, A.
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:25.602111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d6e2a2bd-af5e-4642-b880-868890f8f630 · outbound
This paper cites ClimaX: A foundation model for weather and climate.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol ClimaX: A foundation model for weather and climate
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:20.308443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52eff9a0-fe42-449c-a5e9-e74d19d18e67 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.507407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c8819070-b297-40e2-8786-d5cb06f47444 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.397199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1bab224f-ec04-4627-89d0-7dc4ea805e95 · outbound
This paper cites and Mac \'a rio, R.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol and Mac \'a rio, R
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:25.266211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6363a46c-09c3-4a02-bec3-9eca97f229ba · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:25.161623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 673537e4-9a9a-4a02-90ce-b2d0e1962e27 · outbound
This paper cites and Gecan, R.
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:25.024516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation abba4fa2-db06-4db6-8bf9-e6dca4efe8c1 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:24.872839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 190a3df7-c4e6-49f4-8739-4f7ad9488ac7 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:24.717597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eb28d2fe-a284-418f-a3d0-36b66630b495 · outbound
This paper cites C., et al.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:24.512553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 426f5c5e-6c59-4e1e-ac51-4be73929158e · outbound
This paper cites A., Camur, M.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:24.396004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a6a1919-44ff-45b2-8d43-3210c9da57d4 · outbound
This paper cites S., Iqbal Nur, H., and Pertiwi, A.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol S., Iqbal Nur, H., and Pertiwi, A
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:24.283259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0f927117-563b-4add-a434-fdb2811a01c6 · outbound
This paper cites Department of Transportation , F.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Department of Transportation , F
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:24.145516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9498c0aa-a496-43ac-a169-095a617045a5 · outbound
This paper cites A., Gehlhoff, F., Dogan, A., and Fay, A.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol A., Gehlhoff, F., Dogan, A., and Fay, A
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:24.035833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a830062-f6fb-43fd-9310-1d7e4194adae · outbound
This paper cites M., Glassy, E.
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:23.861376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93ddd1c5-c56b-42cc-93df-9c251c299b4f · outbound
This paper cites V., Zhou, D., et al.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol V., Zhou, D., et al
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:21.448178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8463484-1be3-4c70-b0b2-8cc907f684e1 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:23.729744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e94af15b-1f73-4d30-9e12-64b78bb516a0 · outbound
This paper cites A., Ravulaparthy, S.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol A., Ravulaparthy, S
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:23.600015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c99d7f94-67c8-4ae7-a494-9ab5bb9aa5db · outbound
This paper cites B., Sorensen, H., Nugent, P.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol B., Sorensen, H., Nugent, P
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:23.447086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01cfae1d-ed82-4548-9700-5d75cb497971 · outbound
This paper cites J., and Omitaomu, O.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol J., and Omitaomu, O
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:23.311110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 67f694e8-36cf-4f30-845b-338033a1029e · outbound
This paper cites Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:22.025168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcfd61fd-e594-4b12-bea1-2863cfd6ea32 · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:23.174688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 86bd9022-670d-4ad0-aecc-e59e2f22fd59 · outbound
This paper cites GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:22.191430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac6af2dd-7905-4793-b791-1cf873b1cb59 · outbound
This paper cites T., and Huang, G.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol T., and Huang, G
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:23.049198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d3d5afcf-68c0-4197-8519-1c0a8ef874ba · outbound
This paper cites C., Supriya, Y., Srivastava, G., Maddikunta, P.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol C., Supriya, Y., Srivastava, G., Maddikunta, P
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:40:22.918850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff71a4f4-6420-43c0-820d-5a2fb1a02fe9 · outbound
This paper cites Scientific Large Language Models: A Survey on Biological & Chemical Domains.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Scientific Large Language Models: A Survey on Biological & Chemical Domains
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:22.334354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b4c6ae0-d287-439a-9d8e-6ce1e693383a · outbound
This paper cites an unresolved cited work.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:40:22.782857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9529956f-d3cf-4215-939a-1a54c248b0e7 · outbound
This paper cites Data-Centric Foundation Models in Computational Healthcare: A Survey.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Data-Centric Foundation Models in Computational Healthcare: A Survey
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:22.399701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 38959b42-05e9-4497-a149-5b58194f371f · inbound
Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning cites this paper.
Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:26:39.618536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1814dfb4-2ef3-4ae0-9d73-bbd9acba5854 · inbound
Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.
Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:56:14.232189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f189624c-aca9-4b9e-8d52-e28b7a7aad62 · inbound
Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering cites this paper.
Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:37:34.583750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.