Paper Citation Record · LEDGER

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.08335.

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

pith.paper-citation-record.v1
2411.08335 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:47:34.232062Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy25
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ea967f8-eb35-4253-b47c-beedfac43153 · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.887764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97ba97f5-f517-4d64-b7b1-786f52cf232d · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.871673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5c75e1b-bb71-4e1a-8dfe-d83dab0a30ba · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.855943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5dffc74c-ea04-477f-a889-3dc44b960aa7 · outbound

This paper cites Sahin, and M.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Sahin, and M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.839230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a2868a8-e84b-422c-929d-a2a2d0833ee3 · outbound

This paper cites W., H.-C.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios W., H.-C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.823512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf1ae7db-0afd-40e6-9837-10fd31d6ab39 · outbound

This paper cites Campani, and V.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Campani, and V

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.806897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 743b5fa1-468e-4e4d-a924-6d7ee1d50c03 · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.789493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d354d8b2-64a2-4cfa-8c12-12652058cb1a · outbound

This paper cites Efficient Feature Selection and Classification for Vehicle Detection.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Efficient Feature Selection and Classification for Vehicle Detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.773461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 570fd858-28d1-4b9f-b680-2fad17e3f49d · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.756024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4bfb3c6-4ef4-4f65-a91c-fccb1baec80f · outbound

This paper cites Marković, K.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Marković, K

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.739741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aad11ed7-b3e8-4d26-9cd2-ae9b398650b0 · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.721555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81ca4b7f-395e-41c1-92d6-3829158250a7 · outbound

This paper cites Anguelov, D.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Anguelov, D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.706623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0b9a659-80d6-4a5c-bace-6b76e143880d · outbound

This paper cites Divvala, R.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Divvala, R

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.691294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87419574-e830-43be-93a4-502ca3f9532a · outbound

This paper cites Pang, and Q.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Pang, and Q

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.675908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 562d3b5c-e229-4a8c-acc9-e2dc1777bf70 · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.660777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf5c647a-6b37-4bf0-89fc-74f36ab15eb6 · outbound

This paper cites Brown, and J.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Brown, and J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.645534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b04c4361-a1d1-4ad9-bae9-a45bd5d15b37 · outbound

This paper cites Spanhel, and A.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Spanhel, and A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.629638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbd7ee14-cc56-4a2f-a464-c218cc82b32e · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.614454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65d6a325-64d6-4921-a83f-02bd9b61587b · outbound

This paper cites Zarzour, A.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Zarzour, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.598565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a9538ce-debb-41a3-aed4-a69c10f8fbeb · outbound

This paper cites Huangfu, L.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Huangfu, L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.582685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22a325ec-6195-44fb-b721-c22a77087e2d · outbound

This paper cites Zhang, D.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Zhang, D

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.567568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a8b18a1-8566-4e9f-9cca-c0c3fe3021a7 · outbound

This paper cites A., and F.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios A., and F

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.551402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 872ea193-1a67-4972-97ee-8f2d1b03b6ab · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.535029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9049bdfb-2ace-4ac7-bc3c-be0edcaaf56d · outbound

This paper cites Bewley, and D.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Bewley, and D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.519084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7666014b-44bd-4111-8788-b8f060f61716 · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.503268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 612bb804-cb60-49a4-92b2-f11c2597d03e · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.486920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c39f0ec-6b16-4250-a93b-928841413d2e · outbound

This paper cites CityPersons: A Diverse Dataset for Pedestrian Detection.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios CityPersons: A Diverse Dataset for Pedestrian Detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.471390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f307480-b43f-4643-8d69-80006f49f259 · outbound

This paper cites Stoken, J.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Stoken, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.455320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d0137ae-2330-49cd-a641-f76512bb5c32 · outbound

This paper cites Yan, and C.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Yan, and C

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.438465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2b75807-3ba2-43c2-bbfd-e72a5a3b0f9d · outbound

This paper cites Kumar, and J.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Kumar, and J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.421990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 844f7551-c1fc-489e-b216-80406126fc92 · outbound

This paper cites https://github.com/ultralytics/ultralytics.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios https://github.com/ultralytics/ultralytics

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.406428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8b546f7-a64c-47b0-b331-0c64aab4e21e · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.390695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c71f43ee-57a4-4a0d-bf66-ea65f05e9bcc · outbound

This paper cites an unresolved cited work.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:47:34.373348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2585f17-d8bc-4ced-8c7f-8a9122bab9f3 · outbound

This paper cites http://www.brta.gov.bd/.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios http://www.brta.gov.bd/

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.355845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8aa2f0d-bc6c-47ce-b373-39bf048af0e1 · outbound

This paper cites P., & Ba, J.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios P., & Ba, J

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.339253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebf3a4f8-6e2b-449e-85dd-8f24bd37a52f · outbound

This paper cites An overview of gradient descent optimization algorithms.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios An overview of gradient descent optimization algorithms

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T21:47:34.217478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 157ef680-877c-4482-9e0d-dc0087d42ba5 · outbound

This paper cites Bin Azad, and Md.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Bin Azad, and Md

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.323189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e28a231-2321-413e-8cbb-74510f014dcb · outbound

This paper cites Performance Measurement System (PeMS).

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Performance Measurement System (PeMS)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.307231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59932a40-8bbd-4d67-8d30-1c0edc153440 · outbound

This paper cites Rahman, M.

DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios Rahman, M

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:47:34.289010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.