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Paper Citation Record · LEDGER

Multimodal LLM for Intelligent Transportation Systems

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2412.11683.

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

pith.paper-citation-record.v1
2412.11683 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:43:52.958496Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:39:02.667986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.200163Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb4b7f73-d3e1-4ef9-afc3-b00e078a8ab3 · outbound

This paper cites an unresolved cited work.

Multimodal LLM for Intelligent Transportation Systems Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.892080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.892080Z digest=sha256:333b85df2b58c8a0a005b9f71e42befe179a888b7639000d76ee7edc39b52f2f

Observation 48b4e1d5-e03c-4356-ba61-9405f3d350e8 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Multimodal LLM for Intelligent Transportation Systems A Comprehensive Overview of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.896522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.896522Z digest=sha256:8287bee52593c865a54ec0b2cb8d2761b762e42bca42bd0f3253bb4df00ce738

Observation 2cd82294-b51a-49b7-b895-08a960ae1396 · outbound

This paper cites The role of transport infrastructure in economic growth: Empirical evidence in the uk,.

Multimodal LLM for Intelligent Transportation Systems The role of transport infrastructure in economic growth: Empirical evidence in the uk,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.383733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.901017Z digest=sha256:8b06137e138d7e9f8ba7d7c1f2ff252faee604cf5933015c1a999da5d4df03a5

Observation 9caad3ae-b9f9-424a-ad26-d35f1073ee6a · outbound

This paper cites Effects of transport–carbon intensity, transportation, and economic complexity on environmental and health expenditures,.

Multimodal LLM for Intelligent Transportation Systems Effects of transport–carbon intensity, transportation, and economic complexity on environmental and health expenditures,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.372370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.905122Z digest=sha256:dad4f066c634ddd94dc25de0ce72ece86947444edf41230363878f0a472a43d8

Observation 477ede1c-a0bb-4300-af43-9a536c3af8e6 · outbound

This paper cites Exploring impacts of road transportation on environment: a spatial approach,.

Multimodal LLM for Intelligent Transportation Systems Exploring impacts of road transportation on environment: a spatial approach,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.359721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.909131Z digest=sha256:696e9a48b69ed9bbaba2f99f14ad035e55dd4f5aa3459825bc4b60652d9fd400

Observation 9b9c40a6-4359-470a-b703-81dc6f641a22 · outbound

This paper cites Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility,.

Multimodal LLM for Intelligent Transportation Systems Evaluation of challenges to the adoption of intelligent transportation system for urban smart mobility,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.347251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.913145Z digest=sha256:4c3c7135e2bef4c3cf15820a4bcfa166bf8b97de23e74132d71dd93d781c1e62

Observation 5faaa310-bc18-44df-92b5-3a5052655086 · outbound

This paper cites Intelligent transportation systems for sustainable smart cities,.

Multimodal LLM for Intelligent Transportation Systems Intelligent transportation systems for sustainable smart cities,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.334148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.917466Z digest=sha256:ea42ade4c5f8f8a2aa1bc375b2e20b8955f140f6b8f1d6d5debf04d8f0a30bfa

Observation 04dedebf-4844-4e4f-b16e-29196ffa730a · outbound

This paper cites A fog-based security framework for intelligent traffic light control system,.

Multimodal LLM for Intelligent Transportation Systems A fog-based security framework for intelligent traffic light control system,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.320977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.922175Z digest=sha256:94dd10ab2c979f96d9dbee88d7cfd909213119b24cbdab31fb73ef00a6385141

Observation 387f09ee-9a39-46fe-9922-0771a3e97949 · outbound

This paper cites Applications of ai, iot, and cloud computing in smart transportation: A review,.

Multimodal LLM for Intelligent Transportation Systems Applications of ai, iot, and cloud computing in smart transportation: A review,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.307108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.926035Z digest=sha256:988ea78ca282858f2f414694be791046e33fccade75aa8afa8f9ede85ae9f94e

Observation f7d8d671-92ac-4af7-affc-aaaa6ba685c8 · outbound

This paper cites The transport sector as a source of air pollution,.

Multimodal LLM for Intelligent Transportation Systems The transport sector as a source of air pollution,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.291950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.929674Z digest=sha256:a41201003d6336cb5d4cab9551454c643e57b70ad73539df0e9f2da33e3575e3

Observation 827e0cab-7419-464a-a959-fd2835964b1d · outbound

This paper cites Grand challenges in transportation and transit systems,.

Multimodal LLM for Intelligent Transportation Systems Grand challenges in transportation and transit systems,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.934010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.934010Z digest=sha256:a2519fa257f4000c91dbcd8dbab597c1d709338de0cd58a88898200712228efc

Observation 61914645-7e7e-4a66-bb85-3b648071a919 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multimodal LLM for Intelligent Transportation Systems BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.938398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.938398Z digest=sha256:70f246bedd508051e0727ea4fbec83034ee5ed185498eef36dff60fbeab4380e

Observation 9c020e90-7635-45a4-a8ee-03a40799a3a6 · outbound

This paper cites Decoupled weight decay regularization,.

Multimodal LLM for Intelligent Transportation Systems Decoupled weight decay regularization,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.942535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.942535Z digest=sha256:febd4434bc9094b503358defcfedde4709f75c6b5004b17a41034bc9af59da12

Observation 144bd71f-6f6c-45f2-8170-bd0e49aa17da · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Multimodal LLM for Intelligent Transportation Systems wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.951106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.951106Z digest=sha256:8c911533b7de36a3773a6ccc291d428469b91525845cc09ceabf84f07c135297

Observation 7bf26190-e7a9-464c-98c4-f3bca8db1467 · outbound

This paper cites What is the limitation of multimodal llms? a deeper look into multimodal llms through prompt probing,.

Multimodal LLM for Intelligent Transportation Systems What is the limitation of multimodal llms? a deeper look into multimodal llms through prompt probing,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:53.259809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:43:52.958496Z digest=sha256:8a1f9522d0974e4f8d526a686814fe926574044904007cd8a64a447484ed4198

Observation 4abfdd8d-89b1-45fc-994f-7aafa6e0c8d4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Multimodal LLM for Intelligent Transportation Systems Decoupled Weight Decay Regularization

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.946638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.946638Z digest=sha256:a8f9bcc6bf6e22dcc7d0138f2d8f4b5bce947db7744858ae9c427954ac7edd25

Observation f3da51ff-b177-4c32-8d99-664f8f39f244 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Multimodal LLM for Intelligent Transportation Systems wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:52.954730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:52.954730Z digest=sha256:b18fe8b8fdacacd5d5a83f1f78c9039ff5d01d8fbd2972337222a071f54a36f6

Pith citing papers

Observation 7069e37a-58b5-482e-bcb0-2ae6cadd4355 · inbound

Battery State of Health Estimation Using LLM Framework cites this paper.

Battery State of Health Estimation Using LLM Framework Multimodal LLM for Intelligent Transportation Systems

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T00:39:02.667986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:39:02.667986Z digest=sha256:0c6399fce653ff4178a1db7532a1852d3de7807885b840a77dd0f67f7983b541

Observation 0c937932-68da-44f2-8bdf-602d8b9325b6 · inbound

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning cites this paper.

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning Multimodal LLM for Intelligent Transportation Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:17:40.955486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:17:40.955486Z digest=sha256:1819faaf2d30d1a0b4404fc6c987775fbb742af81c4f7e3a20b56ebcc8bcad2f

Observation 2587e005-2b73-4381-a17a-489bc0ddd489 · 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 Multimodal LLM for Intelligent Transportation Systems

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.201678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:24bb15a9e2e59db2d39d01522cf9e8a5b83fc8aed9112b784ccef14ea1e92da5