Pith. sign in

Paper Citation Record · LEDGER

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.11122.

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

pith.paper-citation-record.v1
2506.11122 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:33.266930Z

measured 35 of 35 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 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 exact15
  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32f42896-de07-40e0-8d8f-f5b6a87ff388 · outbound

This paper cites A review of object detection techniques,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A review of object detection techniques,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:14:34.264116Z

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.

source=pdf_text observed=2026-08-07T05:13:31.826363Z digest=sha256:6f006e8c0a3fd8b8e2df125e65bdb479320b705ee5430213ab74a5986516c735

Observation 2bfc88e6-9672-449b-8d1d-c8176fe367bb · outbound

This paper cites Object Detection in 20 Years: A Survey.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object Detection in 20 Years: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:31.868972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:31.868972Z digest=sha256:5c6c164ef9cbb2a500716d925d4448a400d7bca4a76c5fd898dfbf10aa4ebf47

Observation af3d2e46-909d-4ca5-8c98-14bd03ebe2d9 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Imagenet classification with deep convolutional neural networks,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:31.934273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:31.934273Z digest=sha256:440b5276774c623b5ab6ddeb1d527c7e581e0d573e76b18fa1b5bcb023f38dc2

Observation 369041db-d376-4337-9bcb-32d6001bcb7a · outbound

This paper cites Recent object detection techniques: A survey,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Recent object detection techniques: A survey,

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.628897Z

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.

source=pdf_text observed=2026-08-07T05:13:31.983493Z digest=sha256:95f9be91585b1686aca47f3c1415cfe224a86606400d8948298cbf9084c22cbd

Observation bf299e61-99f1-42cd-bcf6-e3017afab7fc · outbound

This paper cites Deep learning for generic object detection: A survey,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning for generic object detection: A survey,

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.615067Z

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.

source=pdf_text observed=2026-08-07T05:13:32.058959Z digest=sha256:bfceb6a517fa99c578e9bf4111a51f72d8e75fe4e9c5a6beabc1c0f9ecde5414

Observation e4f8e530-3f33-4957-906f-9b839dc33404 · outbound

This paper cites Object detection techniques: Overview and performance comparison,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object detection techniques: Overview and performance comparison,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:14:34.197082Z

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.

source=pdf_text observed=2026-08-07T05:13:32.163388Z digest=sha256:01b1a0135aca99d46a852b86f01fefc6ee071236d44982def7a12c8390b1ea42

Observation 190b060e-06aa-49f9-8055-9a6542039da2 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:32.247898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:32.247898Z digest=sha256:8734fdfac12e240dad6e6a850abe2a20d054aba0a1d118e9be0382e4f90b0045

Observation 809f80e9-5446-4a06-902a-223024158b64 · outbound

This paper cites Image resolution enhancement by using discrete and stationary wavelet decomposition,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Image resolution enhancement by using discrete and stationary wavelet decomposition,

Reference 8

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:14:34.023740Z

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.

source=pdf_text observed=2026-08-07T05:13:32.337999Z digest=sha256:60c50e068b930dd1dd15fa2ad6f8965fb97391baa31770aaef7f2be6f39ea003

Observation 639acf88-0b6d-44a6-bb2c-d39edd85a2a1 · outbound

This paper cites Detection and classification of multiple objects using an RGB - D sensor and linear spatial pyramid matching,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Detection and classification of multiple objects using an RGB - D sensor and linear spatial pyramid matching,

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.601135Z

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.

source=pdf_text observed=2026-08-07T05:13:32.485513Z digest=sha256:828d6ea4ce7736a47d16d9893cc24354ae62d3331662e770d1201e08f8efbcd0

Observation 5dc75739-6de0-4f05-94aa-d33558688d88 · outbound

This paper cites Artificial intelligence system of faster region -based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Artificial intelligence system of faster region -based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer,

Reference 10

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.586957Z

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.

source=pdf_text observed=2026-08-07T05:13:32.587252Z digest=sha256:545c837de493ed25b993198d639c7ae3b11cea06dd48f58e61c1e060ce9248c0

Observation 2af7791d-aca2-4d2f-af75-aa8fe14042f3 · outbound

This paper cites Super resolution image reconstruction using wavelet lifting schemes and Gabor filters,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Super resolution image reconstruction using wavelet lifting schemes and Gabor filters,

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:14:33.948480Z

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.

source=pdf_text observed=2026-08-07T05:13:32.673121Z digest=sha256:8500d27d2c1809f3dde15410d53cb52d37ee61ee50d583fde64f38bb6fb2f22d

Observation b14f27b9-7e16-4a7c-a53b-8f2515a5708b · outbound

This paper cites Object detection with discriminatively trained part -based models,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Object detection with discriminatively trained part -based models,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:32.777333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:32.777333Z digest=sha256:36e2a6a5f8fe680e2e53c2a6f22c75c4f2ce303f0dc69f1e50d81e7e6efa1e52

Observation 1ce88f77-cffa-45b2-8b36-86e0efb2c598 · outbound

This paper cites Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks,

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:13:32.844328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:32.844328Z digest=sha256:04da6992624e921d2770a7ca430fbfd51b17b8eb7781ec0864ab5c44cb929dfc

Observation a36a12d3-727c-41d2-b404-3914b866896d · outbound

This paper cites Fast R -CNN,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Fast R -CNN,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:32.908199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:32.908199Z digest=sha256:886856fb0dc053bdc9ed0bb9895f444b66b03ed8bdc639c4e8f78449f6698fa9

Observation d3ffe5ec-a604-4f56-a845-853861dcab08 · outbound

This paper cites Mask R-CNN,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Mask R-CNN,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:32.979190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:32.979190Z digest=sha256:4b1d5511c568aed9b04a788db1578e03fbcaadd22643bd5d6371d31a78c9af88

Observation 065fd6db-2469-4bfd-b25f-4aaf028aec8d · outbound

This paper cites A comprehensive survey of video datasets for background subtraction,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A comprehensive survey of video datasets for background subtraction,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:33.081329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:33.081329Z digest=sha256:d7155ea09021e6ca88c53b21632c15e46767bb863e633ce8233c917d6b6816a0

Observation 101dcf80-8b7b-4d1b-bfd2-0f418d4b436f · outbound

This paper cites Evaluation of the accuracy of oil palm tree detection using deep learning and support vector machine classifiers,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Evaluation of the accuracy of oil palm tree detection using deep learning and support vector machine classifiers,

Reference 17

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T05:14:33.535808Z

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.

source=pdf_text observed=2026-08-07T05:13:33.177976Z digest=sha256:dcf39487a024e9af7a183b706f28efe5e3e7549ad1b171b1f1bea599b78d7d54

Observation 8a2696b1-3562-42d9-af31-87350563d86b · outbound

This paper cites Accurate image super -resolution using very deep convolutional networks,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Accurate image super -resolution using very deep convolutional networks,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:33.291165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:33.291165Z digest=sha256:33b7e67094c4420f565896b9956592643ffa0382c45fd6df60b480a8828e9e44

Observation 62541de6-da75-4b05-aa23-e2bae3efd393 · outbound

This paper cites Image resolution enhancement using convolutional autoencoders,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Image resolution enhancement using convolutional autoencoders,

Reference 19

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T05:14:33.513977Z

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.

source=pdf_text observed=2026-08-07T05:13:33.362406Z digest=sha256:33c76cf14576ab77b8eb28219d009a1180cade7c5d429aae329a82f99b5e525a

Observation 09e4991f-28de-417d-8e95-4a00bbc0790e · outbound

This paper cites 63‐3: real‐time spatial‐based projector resolution enhancement,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN 63‐3: real‐time spatial‐based projector resolution enhancement,

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.499290Z

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.

source=pdf_text observed=2026-08-07T05:13:33.472634Z digest=sha256:d3ce45a51975aeeb1556c4fd72e597d55addf5b350c1d42c8511a132b1c53ee5

Observation 87299f7a-dfd3-46c5-973e-4a8f309c1621 · outbound

This paper cites Deep learning vs. traditional computer vision,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning vs. traditional computer vision,

Reference 21

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:13:33.575070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:33.575070Z digest=sha256:1f833ca46b71fdd2105dc77d08e33ab8d0bf5fb7fc0a1af7bd6c61aaf3ef6e84

Observation 394af2c0-859d-428b-a3c8-7c98f566904d · outbound

This paper cites A review: object detection using deep learning,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN A review: object detection using deep learning,

Reference 22

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.473860Z

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.

source=pdf_text observed=2026-08-07T05:13:33.663587Z digest=sha256:901fb99de1ec91d37d14018ba3fe381a69dc56488a8ca011b38e1fbdd9f10ff7

Observation 42b3535c-aa7b-41ba-9acd-1cac8c86afbb · outbound

This paper cites Frustum PointNets for 3D object detection from RGB-D data,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Frustum PointNets for 3D object detection from RGB-D data,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:13:33.746342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:13:33.746342Z digest=sha256:2b6a73c211fa8093944775cc745853211edecef7b4bcc9ceae469ff705b108cb

Observation f52007f6-c557-4792-9125-0ce31753b22e · outbound

This paper cites Comparative analysis of various enhancement methods for satellite images,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Comparative analysis of various enhancement methods for satellite images,

Reference 24

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.459453Z

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.

source=pdf_text observed=2026-08-07T05:13:33.872043Z digest=sha256:291ed6c7e66e551748d4265a3e90466a4ea6cb69b36350878d74c49bfc84cf0f

Observation 6393935f-5b14-46c3-9b31-0ed6a170e03a · outbound

This paper cites Fish detection using morphological approach based -on K -means segmentation,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Fish detection using morphological approach based -on K -means segmentation,

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.444966Z

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.

source=pdf_text observed=2026-08-07T05:14:33.190506Z digest=sha256:43f3a3b8383e05b89ddbbc543c348ae3a1748871695d5e297e8faa44d357f7e4

Observation 6f785406-d527-4d45-9594-9273a6ebe4a0 · outbound

This paper cites PSO -based Tsallis thresholding selection procedure for image segmentation,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN PSO -based Tsallis thresholding selection procedure for image segmentation,

Reference 26

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T05:14:33.429943Z

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.

source=pdf_text observed=2026-08-07T05:14:33.209497Z digest=sha256:d0c5f70b3b4a8a9d1bcce3cd446fc866e8ccea96b64b5bbffd0f29dbf3c07234

Observation 63a25cfc-51b5-48f5-83c7-1592e4fff283 · outbound

This paper cites Deep learning techniques for image recognition and object detection,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Deep learning techniques for image recognition and object detection,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:33.222009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:33.222009Z digest=sha256:9f975388d3b07e9bc96b8162cb1a983da13bc8cfedc53f811fd7bbd876e3c08c

Observation 466e5138-e771-47a1-9588-9e79e6a7f93b · outbound

This paper cites Colorectal polyp detection model by using super - resolution reconstruction and YOLO,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Colorectal polyp detection model by using super - resolution reconstruction and YOLO,

Reference 28

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.414512Z

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.

source=pdf_text observed=2026-08-07T05:14:33.229419Z digest=sha256:e6f07d146828e2a40cdf9d64d0342ee1a306366255591782113d95f1395d82dd

Observation 230abb21-56a1-4287-ad22-e8c37f583837 · outbound

This paper cites Super-resolution of plant disease images for the acceleration of image -based phenotyping and vigor diagnosis in agriculture,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Super-resolution of plant disease images for the acceleration of image -based phenotyping and vigor diagnosis in agriculture,

Reference 29

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.399701Z

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.

source=pdf_text observed=2026-08-07T05:14:33.235344Z digest=sha256:0ac7314d3a74e2aa9d99a44bb02a319046ef6136a025303e82e80dea37b787a2

Observation 45e5ba3d-407a-4e43-beb7-4330479dfdcf · outbound

This paper cites Combined self -learning based single -image super - resolution and dual-tree complex wavelet transform denoising for medical images,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Combined self -learning based single -image super - resolution and dual-tree complex wavelet transform denoising for medical images,

Reference 30

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.352410Z

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.

source=pdf_text observed=2026-08-07T05:14:33.241504Z digest=sha256:b4c59496233f715a033f27dbf3b6e069fd4408f16fc677aa2533f3131b924783

Observation 2bada922-ce3b-43be-bc3e-a83f8403daa6 · outbound

This paper cites Unsupervised vehicle extraction of bounding boxes in UA V images,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Unsupervised vehicle extraction of bounding boxes in UA V images,

Reference 31

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.324200Z

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.

source=pdf_text observed=2026-08-07T05:14:33.246191Z digest=sha256:fb45191690f016dda165735d4d5b77dd38e25b5c57942993194de56f35f9a18c

Observation aaa0199c-4d58-4c40-b109-60a74499530b · outbound

This paper cites 3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN 3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:14:33.656863Z

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.

source=pdf_text observed=2026-08-07T05:14:33.252956Z digest=sha256:78bf082aaacfe5021afb5affe6e3b60dc198fdc9e7fc642ee4e2adb9bfd3093e

Observation 6aae5c86-95f3-4966-9644-49015cc6c6da · outbound

This paper cites Lesion focused super -resolution,.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Lesion focused super -resolution,

Reference 33

Resolution
verified exact
doi, observed 2026-08-07T05:14:33.304385Z

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.

source=pdf_text observed=2026-08-07T05:14:33.258155Z digest=sha256:dba4bc6e6730f279497c4a1b20d62713ffd114d60a1e4b9b8639f6bf51726e0d

Observation 4da03181-8bb5-43d0-b14a-9470909ec26a · outbound

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

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Microsoft Coco : Common objects in context,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:14:34.248427Z

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.

source=pdf_text observed=2026-08-07T05:14:33.262799Z digest=sha256:a299233fa36014bcbc0ece4b77f4fd67045b951d455ffbbd40142eaa69fb4ea4

Observation 913947bc-dc8b-4b3c-acc9-4cb187110765 · outbound

This paper cites an unresolved cited work.

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:14:34.231581Z

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.

source=pdf_text observed=2026-08-07T05:14:33.266930Z digest=sha256:5cd951cbc8ddc910ddecd0997ab34c3681e5871b265f2d812b9f9b4162dce9b0

Pith citing papers

No inbound Pith citation observations are available.