Paper Citation Record · LEDGER

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.14854.

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

pith.paper-citation-record.v1
2506.14854 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:39.850143Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy24
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 836db931-2b8b-4565-8370-36fae460b572 · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:36.010253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903722e0-2275-44af-a8a1-0f1be04b646f · outbound

This paper cites Microsoft coco: Common objects in context.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Microsoft coco: Common objects in context

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:36.124771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a516e52-766b-4cc1-b89a-4ae720da22ef · outbound

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

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Simple online and realtime tracking with a deep association metric

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:36.236708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e427573b-f2a0-47a5-9f8e-2e13200f935c · outbound

This paper cites The pascal visual object classes challenge: A retrospective.International journal of computer vision, 111:98–136, 2015.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis The pascal visual object classes challenge: A retrospective.International journal of computer vision, 111:98–136, 2015

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.960757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2ef9a58-58a7-4ba1-bfe9-5b4a2b85e974 · outbound

This paper cites Video summarization using deep semantic features.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Video summarization using deep semantic features

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.755621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0c18b62-b4b1-4bfc-8c05-2be1406d963f · outbound

This paper cites Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:36.583867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c305242a-6acf-409b-b62f-e9dd0fa67c36 · outbound

This paper cites Vivit: A video vision transformer.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Vivit: A video vision transformer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:36.671910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfbd01a-5d34-40b2-ade3-ef161af669b1 · outbound

This paper cites Time-contrastive networks: Self-supervised learning from video.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Time-contrastive networks: Self-supervised learning from video

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.578603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3b6eb999-464e-4fb4-8637-346e8959733c · outbound

This paper cites Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.383983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 653b60d2-ecd6-4291-9801-5c7bfbe335af · outbound

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

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Training data-efficient image transformers & distillation through attention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:37.077493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2044a422-e783-4e09-855d-4cb1e930532d · outbound

This paper cites Large scale fine-grained categorization and domain-specific transfer learning.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Large scale fine-grained categorization and domain-specific transfer learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.200017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 586d881e-f31c-4e64-bfb9-a1518630b32e · outbound

This paper cites Rethinking the Hyperparameters for Fine-tuning.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Rethinking the Hyperparameters for Fine-tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:37.321692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1645d80-45d8-43e5-a94c-e6ba282d9e33 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Model-agnostic meta-learning for fast adaptation of deep networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:37.494010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa78ccc0-9573-4885-9f58-33ac3e39977f · outbound

This paper cites Generalizing from a few examples: A survey on few-shot learning.ACM computing surveys (csur), 53(3):1–34, 2020.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Generalizing from a few examples: A survey on few-shot learning.ACM computing surveys (csur), 53(3):1–34, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:37.562564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020335ae-84c4-4795-a30c-0a44fd9727ca · outbound

This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.023481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 036cd0f8-ab67-4f5f-9f94-a53e4c389dac · outbound

This paper cites Video annotation and tracking with active learning.Advances in Neural Information Processing Systems, 24, 2011.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Video annotation and tracking with active learning.Advances in Neural Information Processing Systems, 24, 2011

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.839180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a30db224-f3b4-45e3-93fe-55218efb74d8 · outbound

This paper cites Pathtrack: Fast trajectory annotation with path supervision.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Pathtrack: Fast trajectory annotation with path supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.685285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8025805a-6d87-4fdd-8be1-5d6492d6824e · outbound

This paper cites A novel key-frames selection framework for comprehensive video summariza- tion.IEEE Transactions on Circuits and Systems for Video Technology, 30(2):577–589, 2019.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A novel key-frames selection framework for comprehensive video summariza- tion.IEEE Transactions on Circuits and Systems for Video Technology, 30(2):577–589, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.506255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9aa9d3a7-0af7-4a2c-a4a2-76c83906c01d · outbound

This paper cites A user attention model for video summarization.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A user attention model for video summarization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.291324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be4ddf3c-f10e-4787-a4ae-4b3dc205108a · outbound

This paper cites Deep learning approach to key frame detection in human action videos.Recent Trends in Computational Intelligence, 1:1–17, 2020.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Deep learning approach to key frame detection in human action videos.Recent Trends in Computational Intelligence, 1:1–17, 2020

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.035579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57b3b318-9973-4813-9d8f-b86b095f89f9 · outbound

This paper cites Real-time keyframe extraction towards video content identifica- tion.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Real-time keyframe extraction towards video content identifica- tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:42.759059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44d074e5-e2ae-44a2-aab1-2ceb543a1dd5 · outbound

This paper cites Cnn based key frame extraction for face in video recognition.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Cnn based key frame extraction for face in video recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:42.490002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23622718-68e8-4e63-ad35-656b003dbc69 · outbound

This paper cites Keyframe-based video summarization with human in the loop.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Keyframe-based video summarization with human in the loop

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:42.142855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51397c66-f3ef-49fc-aa8c-366cbaa5289c · outbound

This paper cites An efficient keyframes selection based framework for video captioning.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis An efficient keyframes selection based framework for video captioning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.928828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0eb5444-7eab-4832-8cc4-03dc3510c405 · outbound

This paper cites Self-supervised learning to detect key frames in videos.Sensors, 20(23):6941, 2020.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Self-supervised learning to detect key frames in videos.Sensors, 20(23):6941, 2020

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.700338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b1bd19b-9195-4420-9f70-b00c7fe31d2d · outbound

This paper cites Deep unsupervised key frame extraction for efficient video classification.ACM Transactions on Multimedia Computing, Communications and Applications, 19(3):1–17, 2023.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Deep unsupervised key frame extraction for efficient video classification.ACM Transactions on Multimedia Computing, Communications and Applications, 19(3):1–17, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.526049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54effa41-4b34-4a79-a60c-701188e788c8 · outbound

This paper cites Unsupervised video summarization framework using keyframe extraction and video skimming.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Unsupervised video summarization framework using keyframe extraction and video skimming

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.308901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9557519-40ff-488a-b7d6-390f94fdddd1 · outbound

This paper cites Interested keyframe extraction of commodity video based on adaptive clustering annotation.Applied Sciences, 12(3):1502, 2022.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Interested keyframe extraction of commodity video based on adaptive clustering annotation.Applied Sciences, 12(3):1502, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.169962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c5b6aa5-f8b6-4838-b802-b62c3707acd1 · outbound

This paper cites Summarizing videos with attention.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Summarizing videos with attention

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.943623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39b5c83a-b722-4514-a31f-dca7e37c677d · outbound

This paper cites Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition.Pattern Recognition, 122:108273, 2022.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition.Pattern Recognition, 122:108273, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.714007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 787ef37b-99b3-4b4e-a553-cd4bf3344f25 · outbound

This paper cites A review of research on object detection based on deep learning.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A review of research on object detection based on deep learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.510953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce0e9beb-34ce-4a7f-a1ba-2bd45a8aaa01 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Rethinking the inception architecture for computer vision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:39.547227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3ba1e8-4136-4a2c-8d55-1323eac93797 · outbound

This paper cites Segment Anything.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Segment Anything

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:39.693470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f677349-bb31-4790-93a3-56c99f58cde9 · outbound

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

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis End-to-end object detection with transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.356692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33a079eb-9dad-4d8c-b284-a2b6b0ee2329 · outbound

This paper cites Ultralytics/YOLOv5: v5.0.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Ultralytics/YOLOv5: v5.0

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.148496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.