Paper Citation Record · LEDGER

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.16594.

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

pith.paper-citation-record.v1
2505.16594 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:31.527586Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:06:33.139310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:30:58.338283Z

Reference resolution

43 of 43 outbound references displayed

verified exact4
verified fuzzy13
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a669fc7-60d9-4fb6-934c-512dd9d7dfc8 · outbound

This paper cites MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:28.003967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6247258-8cda-4e7a-a7c6-2fc1cfed444c · outbound

This paper cites VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:28.118849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b89894d-f481-4bf4-bdc6-2a0216f92b91 · outbound

This paper cites Valor: Vision-audio-language omni-perception pretraining model and dataset,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Valor: Vision-audio-language omni-perception pretraining model and dataset,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:34.415561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6e64717-ff25-49de-8e4f-328ddcff60d6 · outbound

This paper cites Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:02:32.305348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f7c5dd5-252b-4021-9d20-722220d3cc6c · outbound

This paper cites Unsupervised Pre-Training of Image Features on Non-Curated Data.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Unsupervised Pre-Training of Image Features on Non-Curated Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:02:32.192245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b997e172-681e-4e16-924d-19d87ae7e4c3 · outbound

This paper cites Melanoma thick- ness prediction based on convolutional neural network with vgg-19 model transfer learning,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Melanoma thick- ness prediction based on convolutional neural network with vgg-19 model transfer learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:34.280853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e3a94ff-32d1-4c6f-bc57-f825a6be1c7f · outbound

This paper cites Pre-training on grayscale imagenet improves medical image classification,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Pre-training on grayscale imagenet improves medical image classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:34.149539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76007362-10d8-40c1-a4fc-dd3890e65c39 · outbound

This paper cites Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:02:32.020124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f3fedb6-ae83-4424-bcc7-ae7b5f82b368 · outbound

This paper cites Sensor-augmented egocentric- video captioning with dynamic modal attention,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Sensor-augmented egocentric- video captioning with dynamic modal attention,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.986897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5cdd1d4-1dca-4046-ab49-b6c24b18fef1 · outbound

This paper cites Boosting Video Captioning with Dynamic Loss Network.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Boosting Video Captioning with Dynamic Loss Network

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:02:31.865243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5634ddb2-30e4-4d4d-8e6d-29b3333a1cc4 · outbound

This paper cites Panoptic segmentation,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Panoptic segmentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.036353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949b1838-94dc-43d9-b8fa-5857cc82c437 · outbound

This paper cites An empirical study of context in object detection,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks An empirical study of context in object detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.817392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afa08809-6553-456f-99cb-ef07545707bb · outbound

This paper cites End-to-end object detection with transformers,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks End-to-end object detection with transformers,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.171195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa1a084a-51b0-4e57-94fe-f26759cc1cfd · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.260811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85f535a-1e35-4405-ac04-20df1c5043b4 · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.351108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9878bc4-bf6a-46ea-a9c2-b4267b312608 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.424508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9225c940-9e52-4dae-8ea7-c98fe7d9f569 · outbound

This paper cites Swinbert: End-to-end transformers with sparse attention for video captioning,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Swinbert: End-to-end transformers with sparse attention for video captioning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.688236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e89f73c-4b20-447d-bb17-e1b31044843a · outbound

This paper cites Lingoqa: Visual question answering for autonomous driving.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Lingoqa: Visual question answering for autonomous driving

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.524482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a9ad56f4-133c-4ee6-bf79-03698936ac9c · outbound

This paper cites Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.616411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 925d6cbf-a016-4395-9a47-23a0f46b9d60 · outbound

This paper cites Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Nuscenes-mqa: Integrated evaluation of captions and qa for autonomous driving datasets using markup annotations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.264972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b766470-5748-44f5-891c-013d71e87bed · outbound

This paper cites Language Prompt for Autonomous Driving.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Language Prompt for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.686171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fab8d1-523d-4e0e-9df9-39006acd7f1e · outbound

This paper cites Covla: Comprehensive vision-language-action dataset for autonomous driving,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Covla: Comprehensive vision-language-action dataset for autonomous driving,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.741400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7733b6-b7d0-4bc5-83eb-ee539c7f94d8 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks nuscenes: A multimodal dataset for autonomous driving,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.802695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db60efbf-4e4e-445d-92e1-340dcad7f9fc · outbound

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

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Scalability in perception for autonomous driving: Waymo open dataset,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.858783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54ae552-4df9-4c06-bf31-587fc7e0a5b6 · outbound

This paper cites Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.930690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa8f4a0-e1a6-430d-9fb5-a6d3c098cadd · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.989811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dee0491-bba6-46c1-a5e7-7ca30aeaa4df · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.026643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e652a9-39a0-4b43-9bc1-48b7e076c746 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Training data-efficient image transformers & distillation through attention,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.122872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58587ce4-673f-4b34-bd10-5ab51d599d13 · outbound

This paper cites Is space-time attention all you need for video understanding?.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Is space-time attention all you need for video understanding?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:33.026550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07fedb53-97ba-4763-a910-ed65e8bc7cb7 · outbound

This paper cites Vivit: A video vision transformer,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Vivit: A video vision transformer,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.284228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8bcb5f-5428-46ce-b46f-026b0068a37b · outbound

This paper cites Tuber: Tubelet transformer for video action detection,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Tuber: Tubelet transformer for video action detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:32.884734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 035c7db7-0b19-416e-906e-ce7a1a86a862 · outbound

This paper cites End-to-end video instance segmentation with transformers,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks End-to-end video instance segmentation with transformers,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.423962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ad08d6-56d4-4d43-95bf-2dd2207e1773 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.614682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b94720-d27d-4e83-a7e7-a7abde96db36 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.732657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb8e2b0-b50f-42e5-94a6-69dda43a7026 · outbound

This paper cites Adapt: Action-aware driving caption transformer,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Adapt: Action-aware driving caption transformer,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:30.839297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464de7ee-7eec-4f00-a9b4-cda0ef90f22f · outbound

This paper cites Textual explanations for self-driving vehicles,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Textual explanations for self-driving vehicles,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:31.005990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a76d122-1a03-4998-9597-ac78e3d31d83 · outbound

This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:31.081961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980049bf-5867-40d3-a61d-4ba25b3636a3 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Learning transferable visual models from natural language supervision,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:31.163340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b456bb-b459-4b12-83a8-43367164c6c5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:31.265644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb494fc-6a8a-4209-83c1-d2fbd34d1cd9 · outbound

This paper cites Can masking back- ground and object reduce static bias for zero-shot action recognition?.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Can masking back- ground and object reduce static bias for zero-shot action recognition?

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:32.723513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9facd20a-5781-42ff-b0e5-8da5a3718d0e · outbound

This paper cites Another efficient algorithm for convex hulls in two dimensions,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Another efficient algorithm for convex hulls in two dimensions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:32.612712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2b4fe5d-c54d-45b9-9f43-7a3d6cf6d9dc · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Bleu: a method for automatic evaluation of machine translation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:32.472030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a349a548-3736-43a6-b28e-36458a90196b · outbound

This paper cites VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:28.305093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 11b69413-3366-4aa4-99e1-a5a6081f42eb · inbound

InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding cites this paper.

InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding Temporal Object Captioning for Street Scene Videos from LiDAR Tracks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:58.341882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.