Paper Citation Record · LEDGER

A unified neural network for object detection, multiple object tracking and vehicle re-identification

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1907.03465.

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

pith.paper-citation-record.v1
1907.03465 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T01:18:00.474916Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

19 of 19 outbound references displayed

verified exact5
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 997793a4-4cbb-4f57-95a4-c1aa5eff4514 · outbound

This paper cites Simple online and realtime tracking with a deep as- sociation metric.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Simple online and realtime tracking with a deep as- sociation metric

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.046737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45454950-a0d5-4325-8eac-863906c396c9 · outbound

This paper cites Simple online and realtime tracking.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Simple online and realtime tracking

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.053255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d4dd541-788f-4374-b9e7-64fd04926322 · outbound

This paper cites Gated siamese convolutional neural network architec- ture for human re-identiﬁcation.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Gated siamese convolutional neural network architec- ture for human re-identiﬁcation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.032770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a9c36a4-5f9d-4ce0-b3ae-889147c9e3d6 · outbound

This paper cites Facenet: A uniﬁed embedding for face recog- nition and clustering.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Facenet: A uniﬁed embedding for face recog- nition and clustering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.049917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2738d421-2e62-4c60-a2a3-aafc70761e81 · outbound

This paper cites Beyond triplet loss: a deep quadruplet network for person re-identiﬁcation.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Beyond triplet loss: a deep quadruplet network for person re-identiﬁcation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.029042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd1dabb2-a3b1-4945-bb25-4c27451ee676 · outbound

This paper cites Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:20:10.381458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8b630a3-f4b9-4246-a4f5-721e1816a113 · outbound

This paper cites Unsupervised vehicle re-identiﬁcation using triplet networks.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Unsupervised vehicle re-identiﬁcation using triplet networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.036225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b257e3cd-77bc-4240-9705-04e0e96d9b81 · outbound

This paper cites Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T01:20:10.371477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70d6d773-d1b1-464c-8ae4-692ab571de63 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.064041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38ea3aaa-1889-4edd-8196-e6fb3321e088 · outbound

This paper cites Spatial pyramid pooling in deep convolu- tional networks for visual recognition.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Spatial pyramid pooling in deep convolu- tional networks for visual recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.074032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b56fd7c-2fdd-4338-bb45-3a9187a4f913 · outbound

This paper cites Fast r-cnn.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Fast r-cnn

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.070773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 882de93d-95a7-492d-9578-2cb114b07839 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.067675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a05fd0cd-47a2-4b71-9b16-7f57286ca6d2 · outbound

This paper cites You only look once: Uniﬁed, real-time object detection.

A unified neural network for object detection, multiple object tracking and vehicle re-identification You only look once: Uniﬁed, real-time object detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.040097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e0cd50f-f850-4662-9e68-d5107cb18f13 · outbound

This paper cites Ssd: Single shot multibox detec- tor.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Ssd: Single shot multibox detec- tor

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.043457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10122200-dc48-4c6a-923c-d307963c3bcf · outbound

This paper cites Focal loss for dense object de- tection.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Focal loss for dense object de- tection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.057027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8adb3073-e666-4e25-a123-4912ca345dd3 · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

A unified neural network for object detection, multiple object tracking and vehicle re-identification DSSD : Deconvolutional Single Shot Detector

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:20:10.376499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90ebf75e-7d36-418e-b712-934fe6850423 · outbound

This paper cites Bag of Freebies for Training Object Detection Neural Networks.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Bag of Freebies for Training Object Detection Neural Networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:20:10.386619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d376532c-5563-4924-bdb9-638e6111de6a · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

A unified neural network for object detection, multiple object tracking and vehicle re-identification Cascade r-cnn: Delving into high quality object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:20:11.060679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6cc03b50-ea33-4cd5-ba1d-74a606aed1d1 · outbound

This paper cites FCOS: Fully Convolutional One-Stage Object Detection.

A unified neural network for object detection, multiple object tracking and vehicle re-identification FCOS: Fully Convolutional One-Stage Object Detection

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T01:20:10.391551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.