Paper Citation Record · LEDGER

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection

As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2504.21614.

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

pith.paper-citation-record.v1
2504.21614 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:01:31.701931Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T02:02:09.645243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T12:25:44.300099Z

Reference resolution

65 of 65 outbound references displayed

verified exact4
verified fuzzy47
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d464914d-d926-412e-a1a2-de6c310c040b · outbound

This paper cites AD-Datasets: A Meta- Collection of Data Sets for Autonomous Driving,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection AD-Datasets: A Meta- Collection of Data Sets for Autonomous Driving,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.642810Z

Source-reported events for the cited work

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Observation 0d328075-f630-4e9a-9449-9c0418c941d9 · outbound

This paper cites A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.602707Z

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Observation 20cdf7d7-6a91-4e0c-bfca-e2f18503dcf0 · outbound

This paper cites Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

Reference 3

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Observation 11d1c9d2-b167-4790-8831-7836027a7e47 · outbound

This paper cites Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.577845Z

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Observation 68a7780f-3335-402c-97cf-a9b7599ce529 · outbound

This paper cites The why, where, when, what and how of data for data-driven engineering of automotive systems,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection The why, where, when, what and how of data for data-driven engineering of automotive systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.549439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 830cfa36-a4e1-4557-abfd-26c39aa1733b · outbound

This paper cites OpML ’20: Inside Nvidia’s AI Infrastructure for Creating Self-Driving Vehicles,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection OpML ’20: Inside Nvidia’s AI Infrastructure for Creating Self-Driving Vehicles,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.521509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d6f1bd5-fee0-4429-a9f8-1968a79fb8c6 · outbound

This paper cites Cruise’s Continuous Learning Machine Predicts the Unpre- dictable on San Francisco Roads,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Cruise’s Continuous Learning Machine Predicts the Unpre- dictable on San Francisco Roads,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.479909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc89d2dc-ae51-4dda-ae2a-ad26f5e44beb · outbound

This paper cites Tesla Keynote: CVPR 2021 Workshop on Autonomous Driving,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Tesla Keynote: CVPR 2021 Workshop on Autonomous Driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.432526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation faa09ca0-31da-4e19-9930-da082ec837a7 · outbound

This paper cites Im- proving the Intra-class Long-Tail in 3D Detection via Rare Example Mining,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Im- proving the Intra-class Long-Tail in 3D Detection via Rare Example Mining,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.408681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac38820a-8788-42b4-b29e-0017b6235c7d · outbound

This paper cites Segment Anything,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Segment Anything,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.364834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4bd6940-d305-4352-bb92-70e9505e75a6 · outbound

This paper cites Focus on the challenges: Analysis of a user-friendly data search approach with clip in the automotive domain,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Focus on the challenges: Analysis of a user-friendly data search approach with clip in the automotive domain,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.318471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 519172d7-4042-473c-a86c-fa8961cd2bbb · outbound

This paper cites Unveiling objects with sola: An annotation-free image search on the object level for automotive data sets,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Unveiling objects with sola: An annotation-free image search on the object level for automotive data sets,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.242010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23c5f418-34e8-4662-8c9d-94957b60a320 · outbound

This paper cites CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing

Reference 13

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Source-reported events for the cited work

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Observation 09670bc0-d76f-4789-8139-20d587c0ffba · outbound

This paper cites AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.206226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4c50a04-481d-4231-871b-4f04000acf4e · outbound

This paper cites FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMs.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:30.853317Z

Source-reported events for the cited work

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Observation 8a53a08d-e977-4d6a-9b76-eb4d84efd46a · outbound

This paper cites Improving Multi-modal Large Language Model through Boosting Vision Capabilities.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Improving Multi-modal Large Language Model through Boosting Vision Capabilities

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:30.861759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d08e370-ac09-4200-b065-419981a50370 · outbound

This paper cites Adaptive Neural Networks for Intelligent Data-Driven Development.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Adaptive Neural Networks for Intelligent Data-Driven Development

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:01:32.902547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51e2490d-a874-47a5-9403-763f5141b582 · outbound

This paper cites VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:01:32.826120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8e96878-153b-4ae2-b7df-15ac854dda43 · outbound

This paper cites VLMine: Long-Tail Data Mining with Vision Language Models,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection VLMine: Long-Tail Data Mining with Vision Language Models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.179495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8da070b7-3532-48ae-ab1d-78fd153cfe06 · outbound

This paper cites Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:30.899290Z

Source-reported events for the cited work

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Observation be0a17e7-50ca-4601-a82a-ab4756480157 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Super- vision,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Learning Transferable Visual Models From Natural Language Super- vision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.151479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59a308a1-2b01-4d1b-95ec-7a37ad7d774f · outbound

This paper cites Masked-attention Mask Transformer for Universal Image Segmen- tation,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Masked-attention Mask Transformer for Universal Image Segmen- tation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.112793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 525babec-589a-47f6-9bad-afc6ea2f1dcc · outbound

This paper cites Long-Tailed Object Mining Based on CLIP Model for Autonomous Driving,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Long-Tailed Object Mining Based on CLIP Model for Autonomous Driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.091906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb1de9eb-61d4-4f7e-b85d-45b020f274f2 · outbound

This paper cites Multimodal detection of unknown objects on roads for autonomous driving,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Multimodal detection of unknown objects on roads for autonomous driving,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.067537Z

Source-reported events for the cited work

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Observation 2348d2b9-2b52-4609-9087-97dd8e61df99 · outbound

This paper cites Scaling Open- V ocabulary Object Detection,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Scaling Open- V ocabulary Object Detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:35.013581Z

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Observation 4661de74-5c93-497a-a7dd-99d790d3e361 · outbound

This paper cites Microsoft coco: Common objects in context,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Microsoft coco: Common objects in context,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.965709Z

Source-reported events for the cited work

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Observation 4af036f5-c424-439e-b841-9029c0cb2478 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Visual genome: Connecting language and vision using crowdsourced dense image annotations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.933054Z

Source-reported events for the cited work

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Observation 15603d7f-f29c-4e68-a189-4436e23a041a · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection The cityscapes dataset for semantic urban scene understanding,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.900927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9649903a-b21d-486c-88fa-216ad0857e01 · outbound

This paper cites Two video data sets for tracking and retrieval of out of distribution objects,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Two video data sets for tracking and retrieval of out of distribution objects,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.863427Z

Source-reported events for the cited work

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Observation 9f6a165c-0fb8-45a1-9f39-cc9394c01391 · outbound

This paper cites Visual Instruction Tuning,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Visual Instruction Tuning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.762868Z

Source-reported events for the cited work

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Observation e6305150-2d9f-4e5d-820d-25b1f8d18d94 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Scalability in perception for autonomous driving: Waymo open dataset,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.686185Z

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Observation f89c7926-69dd-41f8-99a1-45033c0ad8d6 · outbound

This paper cites Fiftyone,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Fiftyone,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.623612Z

Source-reported events for the cited work

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Observation a0f15b06-40ec-49c9-b763-25e94cc24370 · outbound

This paper cites Mcity Data Engine,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Mcity Data Engine,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.572061Z

Source-reported events for the cited work

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Observation 66ec5bc1-feb0-4f5f-bf61-e394ff87f422 · outbound

This paper cites MongoDB,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection MongoDB,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.494119Z

Source-reported events for the cited work

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Observation 56ea1276-01ff-44fa-9069-b3af82c4814f · outbound

This paper cites Smart Intersections Project,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Smart Intersections Project,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.433177Z

Source-reported events for the cited work

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Observation 7df46707-0748-4e6b-80a7-5d8014f9df51 · outbound

This paper cites Buckets Overview,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Buckets Overview,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.372018Z

Source-reported events for the cited work

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Observation 1bac12b0-c3f0-4c78-b307-c95842935c4e · outbound

This paper cites FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.303593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e44ff13b-4c10-4819-a9ac-287e8cbb4c6a · outbound

This paper cites Simple Open-V ocabulary Object Detection with Vision Transformers,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Simple Open-V ocabulary Object Detection with Vision Transformers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.226740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0f94da4-43c8-419e-adfb-05802b85df56 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.143380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d43e74e9-4284-41b2-b7f5-948e8f7b9a90 · outbound

This paper cites Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head

Reference 40

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Source-reported events for the cited work

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Observation 8f01ce6f-a7ec-45eb-a8e6-3619288b37bc · outbound

This paper cites Omdet: Large-scale vision-language multi-dataset pre-training with multimodal detection network,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Omdet: Large-scale vision-language multi-dataset pre-training with multimodal detection network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.050611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30b9fe1c-a12f-437e-8e94-e8224da71082 · outbound

This paper cites Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.265918Z

Source-reported events for the cited work

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Observation face6de4-2de3-44bc-b5fe-0e2038538a7b · outbound

This paper cites Anomalib: A deep learning library for anomaly detection,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Anomalib: A deep learning library for anomaly detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:34.000026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b026a2a3-c3b7-4c7d-8c4b-10e65390d1ef · outbound

This paper cites Anomaly Detection in Autonomous Driving: A Survey,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Anomaly Detection in Autonomous Driving: A Survey,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.969372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb8dc082-23bd-42f2-b4f3-069b9a7d5d10 · outbound

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Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:01:33.912355Z

Source-reported events for the cited work

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Observation 653d3e74-efb5-4e41-8336-f8fc39bab0fa · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.875464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98073e9c-3214-4f01-aa0a-7f51aad3769d · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.346651Z

Source-reported events for the cited work

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Observation 417cf410-b9a0-4cf0-b766-29b425d6bc72 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.368784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc2586c-863a-4730-a0ec-a95193dd8476 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Sigmoid Loss for Language Image Pre-Training,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.820407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf6e0810-cc44-4f5c-a0ff-5e5e80108677 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.442548Z

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Observation a7a44179-4426-4979-982b-d049c9576416 · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Transformers: State-of-the-art natural language processing,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.744118Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d270e02-9a1b-4e0c-aaf9-0d7d126abc31 · outbound

This paper cites Ultralytics,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Ultralytics,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.693575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5a25d08-3e3f-483f-880c-0a1c0865751a · outbound

This paper cites Detrs with collaborative hybrid assign- ments training,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Detrs with collaborative hybrid assign- ments training,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.636413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e969b93e-9a66-484d-b183-d0eefe3976b9 · outbound

This paper cites MMDetection,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection MMDetection,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.594064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1bfaa80-64b8-466d-aca7-6fe591f1ac06 · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.516527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c15521c-800b-4b21-9dca-81b2ce02fde8 · outbound

This paper cites NMS Strikes Back.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection NMS Strikes Back

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.537767Z

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Observation 744a6d1d-5ece-4fa7-99ab-174ab9bc7541 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.559626Z

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Observation ff7fe5da-1a8d-4bc5-bb1a-392c6ef03ac0 · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.573292Z

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Observation cdad752d-6944-4279-a988-f0e77806cddd · outbound

This paper cites Design, Implementa- tion, and Evaluation of a Roadside Cooperative Perception System,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Design, Implementa- tion, and Evaluation of a Roadside Cooperative Perception System,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.454388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 274784e3-ed74-4147-b788-44acc2cde246 · outbound

This paper cites Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.396945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84f0b49a-09b7-4127-b8fd-84652d7cb3ff · outbound

This paper cites MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:01:31.838236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9deb289a-ecff-41da-aeee-036964803a08 · outbound

This paper cites Professional Services Agreement [...] for the near-miss video ana- lytics system,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Professional Services Agreement [...] for the near-miss video ana- lytics system,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.350798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 735edebc-106f-4fee-8da6-888021a53e62 · outbound

This paper cites Reliving the dataset: Combining the visualization of road users’ inter- actions with scenario reconstruction in virtual reality,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Reliving the dataset: Combining the visualization of road users’ inter- actions with scenario reconstruction in virtual reality,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.299345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c50112c0-e59a-428d-8367-076be19e2f9c · outbound

This paper cites Ultralytics yolo11,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Ultralytics yolo11,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:31.688858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7f80fa-dcb9-4956-b28b-ad4120fa7d18 · outbound

This paper cites Crowddiff: Multi-hypothesis crowd density estimation using diffusion models,.

Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Crowddiff: Multi-hypothesis crowd density estimation using diffusion models,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:01:33.198682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 3f503365-d29a-4f8e-b649-e3cb5b0075cb · inbound

A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection cites this paper.

A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-08T02:03:42.746909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c4a12fa-2d07-48fa-bb81-e4803bb170bb · inbound

The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning cites this paper.

The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T12:25:44.301379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.