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Paper Citation Record · LEDGER

Lane-Wise Highway Anomaly Detection

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.02613.

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

pith.paper-citation-record.v1
2505.02613 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:59.365186Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b497a8b-124b-478f-aabd-a47505c5a262 · outbound

This paper cites Two-stage detection of incident-induced congestion at the cycle and movement levels on signalized urban roads using spatially sparse trajectory data,.

Lane-Wise Highway Anomaly Detection Two-stage detection of incident-induced congestion at the cycle and movement levels on signalized urban roads using spatially sparse trajectory data,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:59.716175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 43098e5b-d56e-48c9-bff6-427701cd337e · outbound

This paper cites An iterative method for unsupervised robust anomaly detection under data contamination,.

Lane-Wise Highway Anomaly Detection An iterative method for unsupervised robust anomaly detection under data contamination,

Reference 2

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raw_fallback, observed 2026-08-16T00:53:59.705900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.277393Z digest=sha256:6d29ffc4e363e2167777320f7a2b02d117a1d9dedb4989a8d345ba67b4b66885

Observation 37a407a0-3fec-417d-9694-1743540b95fa · outbound

This paper cites Real-time detection of network traffic anomalies in big data environments using deep learning models,.

Lane-Wise Highway Anomaly Detection Real-time detection of network traffic anomalies in big data environments using deep learning models,

Reference 3

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raw_fallback, observed 2026-08-16T00:53:59.695778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 10827840-7107-4cf7-b285-0dc766c640a5 · outbound

This paper cites Detection of traffic anomaly in highways by using recurrent neural network,.

Lane-Wise Highway Anomaly Detection Detection of traffic anomaly in highways by using recurrent neural network,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:59.685678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.285297Z digest=sha256:20295d56683d6b56a9c2d510899bc5c84bff3934007655c681fa157c2b5aba50

Observation a92db0a9-e699-4dbc-950b-289bd523faaa · outbound

This paper cites Traffic monitoring and anomaly detection based on simulation of luxembourg road network,.

Lane-Wise Highway Anomaly Detection Traffic monitoring and anomaly detection based on simulation of luxembourg road network,

Reference 5

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raw_fallback, observed 2026-08-16T00:53:59.675586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.289264Z digest=sha256:a8e1c6bb7b1903630830f36c266d814427dfa5bfc77acf0cc0433fdcf21aa6b7

Observation 62326f81-34b7-4869-a215-8b8d5dd16c1a · outbound

This paper cites The next generation simulation program,.

Lane-Wise Highway Anomaly Detection The next generation simulation program,

Reference 6

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raw_fallback, observed 2026-08-16T00:53:59.665762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e5d632e6-aafe-42fc-aab7-fd23e396694d · outbound

This paper cites Transformer-based spatio-temporal unsupervised traf- fic anomaly detection in aerial videos,.

Lane-Wise Highway Anomaly Detection Transformer-based spatio-temporal unsupervised traf- fic anomaly detection in aerial videos,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:59.655777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.297185Z digest=sha256:6a2ee68db5814419c0528cbece649f688c0a5306b0a04c24280da354a70f6deb

Observation aa6a234a-9a06-4c60-a689-7d3855de4521 · outbound

This paper cites Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship,.

Lane-Wise Highway Anomaly Detection Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship,

Reference 8

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raw_fallback, observed 2026-08-16T00:53:59.645123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.300717Z digest=sha256:fc6d855606b77c5df48547bc6abcd7364c8ef6597fc75a22449364bdb84a6457

Observation e8a5a441-a8ea-4f18-9960-dc25a8ea78be · outbound

This paper cites Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting,.

Lane-Wise Highway Anomaly Detection Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting,

Reference 9

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raw_fallback, observed 2026-08-16T00:53:59.634444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.303991Z digest=sha256:d61168f3a6b10d08cb27ce62ef2344a6b346cd1d3b269fea912abdb4e6c56dd2

Observation a494ab85-6ee8-4009-bfcb-6b3d876eee1c · outbound

This paper cites Real-time lane-wise traffic monitoring in optimal rois,.

Lane-Wise Highway Anomaly Detection Real-time lane-wise traffic monitoring in optimal rois,

Reference 10

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raw_fallback, observed 2026-08-16T00:53:59.623501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.307588Z digest=sha256:3a8efb4cf74d5a79cb9f62140ee9e8031eb9d889f0ae167e04539e62213fad59

Observation c93757eb-8751-4db8-89db-8d901285fd4e · outbound

This paper cites Intelligent highway adaptive lane learning system in multiple rois of surveillance camera video,.

Lane-Wise Highway Anomaly Detection Intelligent highway adaptive lane learning system in multiple rois of surveillance camera video,

Reference 11

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raw_fallback, observed 2026-08-16T00:53:59.611943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4d27e9d7-f47b-43d9-91b2-ac134925d28c · outbound

This paper cites The nvidia ai city challenge,.

Lane-Wise Highway Anomaly Detection The nvidia ai city challenge,

Reference 12

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raw_fallback, observed 2026-08-16T00:53:59.600673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4b41cfd5-a3d5-4474-bfa7-1fff7739bced · outbound

This paper cites Understanding mobility based on gps data,.

Lane-Wise Highway Anomaly Detection Understanding mobility based on gps data,

Reference 13

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raw_fallback, observed 2026-08-16T00:53:59.590377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.317467Z digest=sha256:09d243865682b4fdc9bd90c87fe9f1fbc7bf36c844b82649bec3fc95ea0ecba5

Observation 0fdc2532-813e-4ace-bb7e-d5a4130c1629 · outbound

This paper cites Freeway performance measurement system: mining loop detector data,.

Lane-Wise Highway Anomaly Detection Freeway performance measurement system: mining loop detector data,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T00:53:59.579138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.320994Z digest=sha256:94362993fcbcb29165f31efa8281c96cc390176535267c7ec8bddfc13d49ce79

Observation c3d3c904-a735-48d0-8698-42bb18b5f28a · outbound

This paper cites Xtraffic: A dataset where traffic meets incidents with explainability and more,.

Lane-Wise Highway Anomaly Detection Xtraffic: A dataset where traffic meets incidents with explainability and more,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec068f2c-8e2a-439b-b1a7-98d6ee1034a8 · outbound

This paper cites FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection.

Lane-Wise Highway Anomaly Detection FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection

Reference 16

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local_arxiv, observed 2026-08-16T00:53:59.424438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.328820Z digest=sha256:1b400eab510c9da45b9fce359070b6f4f115cf3656e97b19f56051e83e98f074

Observation b6c4024c-8f01-457e-86c7-d0ea7c38ae34 · outbound

This paper cites A memory-augmented conditional neural process model for traffic anomaly detection,.

Lane-Wise Highway Anomaly Detection A memory-augmented conditional neural process model for traffic anomaly detection,

Reference 17

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raw_fallback, observed 2026-08-16T00:53:59.568065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.332716Z digest=sha256:fa72ddff86395a6419669353c4fa4e3b8777737da9912160ccee62bdf8149bc9

Observation c29be0ef-1094-43c0-82e0-c59b4459d6d9 · outbound

This paper cites Isolation-based anomaly detection,.

Lane-Wise Highway Anomaly Detection Isolation-based anomaly detection,

Reference 18

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raw_fallback, observed 2026-08-16T00:53:59.555816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.336378Z digest=sha256:f14fa8cdca92c24238394d25b022da469bbb34f91489c5a45b1991130cd156e0

Observation 6c130d0d-3fa3-4ded-a776-3948bb1c5ae4 · outbound

This paper cites Anomaly detection for time series using vae-lstm hybrid model,.

Lane-Wise Highway Anomaly Detection Anomaly detection for time series using vae-lstm hybrid model,

Reference 19

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raw_fallback, observed 2026-08-16T00:53:59.544960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.340716Z digest=sha256:33e2aa5b71f928951ff51b211aaa03c21caba0e082d89a10bf8fe5b89a935c99

Observation 6c392414-2040-40c1-960c-e629281afa5c · outbound

This paper cites Explainable time series anomaly detection using masked latent generative modeling,.

Lane-Wise Highway Anomaly Detection Explainable time series anomaly detection using masked latent generative modeling,

Reference 20

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raw_fallback, observed 2026-08-16T00:53:59.533614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.345179Z digest=sha256:0dd8a5049116ac92363bc7634cf3bb8e71d7faddffcfdb38a8db40effbc82c32

Observation 6ab0a0a3-22cd-4fdb-a1cf-dddf1d8c4afa · outbound

This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

Lane-Wise Highway Anomaly Detection TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Reference 21

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no resolver link, observed 2026-08-16T00:53:59.349256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:59.349256Z digest=sha256:d71f3bea6372a70d5bbc24a78a38c0713608305eccbc22a3e5cf18fdc7769924

Observation 579f23b2-ec00-4091-a28b-c1a09065a8f2 · outbound

This paper cites Attention mechanism improves yolov5x for detecting vehicles on surveillance videos,.

Lane-Wise Highway Anomaly Detection Attention mechanism improves yolov5x for detecting vehicles on surveillance videos,

Reference 22

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raw_fallback, observed 2026-08-16T00:53:59.521881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.354486Z digest=sha256:db62417361e3806bed2ac77d8e9cc3225c2ecb5ad385fd85423ce1b81490fc35

Observation 7731b474-e09c-401d-96bb-247296d53fcf · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

Lane-Wise Highway Anomaly Detection Simple online and realtime tracking with a deep association metric,

Reference 23

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raw_fallback, observed 2026-08-16T00:53:59.510301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:53:59.358239Z digest=sha256:13a5c162bd6c4bdad1846b0e40ea30dec0af73b0a3b93341ab96cd0528aef2c8

Observation 8b0cc52f-d3bc-4bfa-8f5a-4b20e5f8ebc7 · outbound

This paper cites Neural discrete representation learning,.

Lane-Wise Highway Anomaly Detection Neural discrete representation learning,

Reference 24

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no resolver link, observed 2026-08-16T00:53:59.361654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:59.361654Z digest=sha256:f1375d5f0cd0e685052e451ad5ab7f931f3f09930ba0dac27c25950838648782

Observation 0a4cde08-a329-4e23-9dfd-471a89dd6755 · outbound

This paper cites Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes.

Lane-Wise Highway Anomaly Detection Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes

Reference 25

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unresolved
no resolver link, observed 2026-08-16T00:53:59.365186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:59.365186Z digest=sha256:e5193443302933db0cee56ca6909742346332f06cbeab91f08f8dfae6077fe4f

Pith citing papers

No inbound Pith citation observations are available.