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Paper Citation Record · LEDGER

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.00528.

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

pith.paper-citation-record.v1
2508.00528 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:06:56.206774Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy44
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c8f25d7-28d4-4eb3-90e8-e834a4e88c88 · outbound

This paper cites Deep learning-based visual detection of marine organisms: A survey.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Deep learning-based visual detection of marine organisms: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.392341Z

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=arxiv_source observed=2026-08-06T10:06:55.842795Z digest=sha256:413e4490f8336903f47a879e8f1782b5ea48b88432d7b050eeb77b20ea9d1191

Observation e32bd0d2-ba74-451d-a6d3-a5efcf5ba71f · outbound

This paper cites From classical approach to deep-learning: A review on underwater target segmentation with sonar image.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection From classical approach to deep-learning: A review on underwater target segmentation with sonar image

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.366810Z

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=arxiv_source observed=2026-08-06T10:06:55.852050Z digest=sha256:1e7422467f98f2eec2e73c8945b21f38247cb8bb54e234bbcc4ecb8a0adc6b7b

Observation 941026d1-2756-422f-a8d0-1f8cfffaf95a · outbound

This paper cites Review on deep learning techniques for marine object recognition: Architectures and algorithms.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Review on deep learning techniques for marine object recognition: Architectures and algorithms

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.343275Z

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=arxiv_source observed=2026-08-06T10:06:55.859606Z digest=sha256:6ab4f49e684528e7fc24442da0fc24b776fc1907ea622ca80e8c5ea059fb61c8

Observation 1e312c6c-9050-402e-a62c-a41d356c06e6 · outbound

This paper cites A systematic review and analysis of deep learning-based underwater object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection A systematic review and analysis of deep learning-based underwater object detection

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.322842Z

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=arxiv_source observed=2026-08-06T10:06:55.865964Z digest=sha256:b6136956c24fb11e49f64387e81c8f749ce6fd1dccdbdc5aac0767b706018ee7

Observation f1820c03-d731-49ca-acbf-bacaab6ab71b · outbound

This paper cites Real-time underwater object detection technology for complex underwater environments based on deep learning.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Real-time underwater object detection technology for complex underwater environments based on deep learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.301718Z

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=arxiv_source observed=2026-08-06T10:06:55.871056Z digest=sha256:506056d595a4be344c9bc30b525e17dff6e20256893f538db10656f59001facb

Observation 2e78711a-fa25-44ff-81c0-b1f888ffb87b · outbound

This paper cites Advancing underwater vision: A survey of deep learning models for underwater object recognition and tracking.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Advancing underwater vision: A survey of deep learning models for underwater object recognition and tracking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.279551Z

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=arxiv_source observed=2026-08-06T10:06:55.876258Z digest=sha256:9a85c5f5f7bf6230bc53f2de5c9bfbbc4da04ba26a7f3d9c01bc76f8c193113e

Observation cb9cf560-65cd-427a-ae5f-bf6ed23048b4 · outbound

This paper cites Underwater image processing and analysis: A review.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Underwater image processing and analysis: A review

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.264449Z

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=arxiv_source observed=2026-08-06T10:06:55.882394Z digest=sha256:c477c5cca98b0a17b3a979910829b5eeb29de9c3cc6945d7e7a29bf048c82cc3

Observation 9570be2c-4bea-440b-ab9a-73aaa6193768 · outbound

This paper cites Rethinking general underwater object detection: Datasets, challenges, and solutions.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Rethinking general underwater object detection: Datasets, challenges, and solutions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.240883Z

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=arxiv_source observed=2026-08-06T10:06:55.887881Z digest=sha256:f5bd1d103c27e949ee66d639aab66d39d6f43a3849587fde908b5d0daf89a2b2

Observation fc280dd5-db13-4eec-97e2-41b380d13257 · outbound

This paper cites Review of intelligent detection and health assessment of underwater structures.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Review of intelligent detection and health assessment of underwater structures

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.220293Z

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=arxiv_source observed=2026-08-06T10:06:55.898020Z digest=sha256:caf9756e6861594fec7e86e0508d463decca00feb18ebfd18e7784dfccf7ac31

Observation fb82f1f6-cb47-4778-8151-f6b1c754401e · outbound

This paper cites Enhancing aerial object detection with selective frequency interaction network.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Enhancing aerial object detection with selective frequency interaction network

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.203102Z

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=arxiv_source observed=2026-08-06T10:06:55.902752Z digest=sha256:d9cbdcc142b68020e415aff53d7c64e389322e02cefe34b2b5dec15db2300a83

Observation d68f05c4-36a9-4689-aed1-d115ec09a8b5 · outbound

This paper cites LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:06:56.390547Z

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=arxiv_source observed=2026-08-06T10:06:55.907525Z digest=sha256:a632afdd8ff31cc20a4da52954c2d05ece596e4c4f464c8483626c1135b9c8f0

Observation bdd27418-882d-4884-8f53-5a0fa251a979 · outbound

This paper cites A novel multi-frequency coordinated module for sar ship detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection A novel multi-frequency coordinated module for sar ship detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.187482Z

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=arxiv_source observed=2026-08-06T10:06:55.913103Z digest=sha256:0caf7873b7d4c0205d4157b26cc83bbb37499bfc622448966dbd4672d9ccf58c

Observation 0616726a-c852-4ce9-b1a5-0016a2e4731b · outbound

This paper cites A novel cross frequency-domain interaction learning for aerial oriented object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection A novel cross frequency-domain interaction learning for aerial oriented object detection

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.169794Z

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=arxiv_source observed=2026-08-06T10:06:55.919461Z digest=sha256:14f825218fd897f1cdab34d79a77922a60abadb95b96fdd0a961d1f108f7e985

Observation 5c42aea5-1cfd-49eb-b1f5-9cb8db9e7338 · outbound

This paper cites Fahad Hasan Bhuiyan Emon , Md Rakibul Haque, Arif Reza Anwary, and Swakkhar Shatabda.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Fahad Hasan Bhuiyan Emon , Md Rakibul Haque, Arif Reza Anwary, and Swakkhar Shatabda

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.152418Z

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=arxiv_source observed=2026-08-06T10:06:55.927311Z digest=sha256:4949f4e5552fb0f43906cc3abf50cef4a44a391eb51aebfcb36a7b3b343788ac

Observation 2335f843-9b66-4d2b-9e14-c3f42a5bc06d · outbound

This paper cites Deepfish: Accurate underwater live fish recognition with a deep architecture.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Deepfish: Accurate underwater live fish recognition with a deep architecture

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.132618Z

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=arxiv_source observed=2026-08-06T10:06:55.933372Z digest=sha256:6432c5605c94b7ceae91933eeff01ebf957a546e95e257a1a848132093676811

Observation ea58c404-d7b8-44ab-b344-edd5286b5443 · outbound

This paper cites Ceh-yolo: A composite enhanced yolo-based model for underwater object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Ceh-yolo: A composite enhanced yolo-based model for underwater object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.111015Z

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=arxiv_source observed=2026-08-06T10:06:55.939047Z digest=sha256:0b160c58ec1b3a76f49017b76c23c85d8d4b6a89931558ffaf78b55f0349f7fd

Observation 22546d10-3020-414c-8fd2-a2ef37ec75c9 · outbound

This paper cites U-yolov7: A network for underwater organism detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection U-yolov7: A network for underwater organism detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.085372Z

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=arxiv_source observed=2026-08-06T10:06:55.943851Z digest=sha256:a01ef934fd49d364f18181205d8b542597de3f2f88f14faeddafafb8de58b883

Observation b4380008-4e39-4615-91c3-8bc6a9da8c9a · outbound

This paper cites An improved feature pyramid network for object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection An improved feature pyramid network for object detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.063437Z

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=arxiv_source observed=2026-08-06T10:06:55.949198Z digest=sha256:1048fd9d559aac0974f73299828c24e58591caf9607a3b16c5b8cd8c6e73d389

Observation 3741b37e-a253-47c8-82e1-9fa569beda05 · outbound

This paper cites Weighted parallel decoupled feature pyramid network for object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Weighted parallel decoupled feature pyramid network for object detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.036480Z

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=arxiv_source observed=2026-08-06T10:06:55.954547Z digest=sha256:117ae6fe3193d01bf089432536b56971ffe6391fd9214614a4eb250e34d0c900

Observation c869fe3a-7f41-4416-bb02-368dd256f73b · outbound

This paper cites An embedded feature pyramid network enables bidirectional information flow for object detection and instance segmentation.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection An embedded feature pyramid network enables bidirectional information flow for object detection and instance segmentation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:57.018204Z

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=arxiv_source observed=2026-08-06T10:06:55.964320Z digest=sha256:cb653ca1be1435088a29093b728f10c4239da5983e704eaa77c19d923e5121fb

Observation 08e7c73e-1b69-4d2a-b602-1699b8064602 · outbound

This paper cites Fcanet: A novel feature fusion approach to eeg emotion recognition based on cross-attention networks.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Fcanet: A novel feature fusion approach to eeg emotion recognition based on cross-attention networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.998639Z

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=arxiv_source observed=2026-08-06T10:06:55.970212Z digest=sha256:0b3516ec907128313bf640924e0e03864e5780395ee1848d279856feb293a77f

Observation 393b995c-8c5c-4b51-a92a-f31580fc3d8f · outbound

This paper cites Mff-net: A multi-view feature fusion network for generalized forgery image detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Mff-net: A multi-view feature fusion network for generalized forgery image detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.982415Z

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=arxiv_source observed=2026-08-06T10:06:55.978642Z digest=sha256:7a5aa8763716478472f002308c87e5dc5fa2aab49437f3e6aa8d7bd1a2f19f6e

Observation 3feb392d-b853-4d2f-afc5-8ce94baf3ccf · outbound

This paper cites Lightweight oriented object detection with dynamic smooth feature fusion network.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Lightweight oriented object detection with dynamic smooth feature fusion network

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.963355Z

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=arxiv_source observed=2026-08-06T10:06:55.986454Z digest=sha256:094fb1a7605bc390b8ae509fe0cbd335da47c7f0466cb42d84b5ac20c617eaab

Observation 014fa9de-db00-4f3d-bd13-5169655a4d02 · outbound

This paper cites Path Aggregation Network for Instance Segmentation.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Path Aggregation Network for Instance Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T10:06:55.991453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:06:55.991453Z digest=sha256:b0631a6da1801b66687f08981f4a6427da8c47105d861a52de33cf681f19d565

Observation 20274dfd-6ebc-43e0-99f0-58189b8bb969 · outbound

This paper cites an unresolved cited work.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:06:56.946256Z

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=arxiv_source observed=2026-08-06T10:06:56.002470Z digest=sha256:4b91e034def15f4a1076bb17ef2780731a0c8146ce40c124617129fe4aed1f99

Observation 23f5d78f-8871-4519-affd-74b28dbe7f24 · outbound

This paper cites an unresolved cited work.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:06:56.926274Z

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=arxiv_source observed=2026-08-06T10:06:56.008334Z digest=sha256:ba43b6d12dfae9a67142b2922ee095fb3fae5aec63c5dc5c7d1303ba0aac05c2

Observation aeee5c4c-b228-452e-aaae-bc8154301570 · outbound

This paper cites Attentional feature fusion.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Attentional feature fusion

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.909017Z

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=arxiv_source observed=2026-08-06T10:06:56.013591Z digest=sha256:44f38050bf7ce3c3b54e7b0794d5448b76cab16ec986512f66532b8312a15341

Observation cb4da858-81d3-4d15-a9c3-aa2c2d6f2501 · outbound

This paper cites Small object detection network based on progressive enhanced multi-level feature fusion.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Small object detection network based on progressive enhanced multi-level feature fusion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.884561Z

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=arxiv_source observed=2026-08-06T10:06:56.022126Z digest=sha256:c8bb5d1d4e68d158b5cf7ea1ce9c75dade4dba525f4b3ba9968484814a2476f8

Observation bdc254d5-cc05-47d4-a4a8-3f45298fc120 · outbound

This paper cites Rocknet: Deep progressive lithology recognition model based on feature saliency and fusion.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Rocknet: Deep progressive lithology recognition model based on feature saliency and fusion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.864821Z

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=arxiv_source observed=2026-08-06T10:06:56.032238Z digest=sha256:6fed9e7623d5eb1a5eaa612457415ecc16a4ac7c0e020d9d4c57490f89859ca6

Observation 231ad251-44ee-4ce5-a426-ad535ff65bd0 · outbound

This paper cites Fast r-cnn.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Fast r-cnn

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.845314Z

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=arxiv_source observed=2026-08-06T10:06:56.039506Z digest=sha256:a5decd0bfa4cbd93ed3eae587450acdc0a727c3c2cab4717a9b58248a2d129fa

Observation 33c3ad5e-c8fc-4303-9db2-31f67f0cbf88 · outbound

This paper cites an unresolved cited work.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:06:56.828178Z

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=arxiv_source observed=2026-08-06T10:06:56.047923Z digest=sha256:cd27465dc3bc7ec13eb84043ca7c714fda2863ed90d729c6088292155ad7e002

Observation 26b6f9b2-a099-44f3-a239-f679c344432e · outbound

This paper cites Underwater fish detection in sonar image based on an improved faster rcnn.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Underwater fish detection in sonar image based on an improved faster rcnn

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.802417Z

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=arxiv_source observed=2026-08-06T10:06:56.055875Z digest=sha256:970b9ebad4a3278ca6e3f6a8498faeace1a257acb9afac7fcc4622a06a2e2b45

Observation 5255ad9f-85e0-4ddc-b3da-3ea57fbffb1a · outbound

This paper cites Fernandes.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Fernandes

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.782883Z

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=arxiv_source observed=2026-08-06T10:06:56.061198Z digest=sha256:9e1929d5dbeed212b2c94390f6c37c314968eb1495345b2ebcf044bd02b21756

Observation ad4ea537-f014-4f13-b4f2-0bf90a1b84d7 · outbound

This paper cites Sur-net: A deep network for fish detection and segmentation with limited training data.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Sur-net: A deep network for fish detection and segmentation with limited training data

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.765462Z

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=arxiv_source observed=2026-08-06T10:06:56.066296Z digest=sha256:594b2e5929a6faa584bd7de30a106f8fd05eb7e365a49afd8e9c1bcb67712829

Observation 2d8e9ddd-a95f-490f-a2d9-2cd71729b62f · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Imagpose: A unified conditional framework for pose-guided person generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.748447Z

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=arxiv_source observed=2026-08-06T10:06:56.071266Z digest=sha256:ec757196b0900a0ccb0f313e1607b9a2d0e0aca39a7d27fc71a45980d28c4c7e

Observation 4716232f-e2bb-4944-9393-3992e29bf750 · outbound

This paper cites Imagdressing-v1: Customizable virtual dressing.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Imagdressing-v1: Customizable virtual dressing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.730801Z

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=arxiv_source observed=2026-08-06T10:06:56.078383Z digest=sha256:4c2b55bf822581e61a980e19672665047e66b29ce130f316cbc9e75f21616e8a

Observation 7a42acc9-59e4-4a4b-92fd-4a81b2e41a50 · outbound

This paper cites Atrous spatial pyramid convolution for object detection with encoder-decoder.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Atrous spatial pyramid convolution for object detection with encoder-decoder

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.708896Z

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=arxiv_source observed=2026-08-06T10:06:56.085411Z digest=sha256:3e027e0414d1ab8d63ae85d245608719b9738174c272180e28696d7990fc1c9b

Observation e6a9bae6-1426-470a-8ebd-2143971bf555 · outbound

This paper cites An efficient re-parameterization feature pyramid network on yolov8 to the detection of steel surface defect.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection An efficient re-parameterization feature pyramid network on yolov8 to the detection of steel surface defect

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.687816Z

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=arxiv_source observed=2026-08-06T10:06:56.091231Z digest=sha256:d4d88c68a0dbce5cc2da10e95205c53e656c524a273945d3abdc90a1bf0b3af7

Observation edfaf017-1927-4706-bdce-6dcfc65051b9 · outbound

This paper cites Feature pyramid network with multi-scale prediction fusion for real-time semantic segmentation.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Feature pyramid network with multi-scale prediction fusion for real-time semantic segmentation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.669478Z

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=arxiv_source observed=2026-08-06T10:06:56.098240Z digest=sha256:f27172556e6cb5fd0cc4445474a51e1c0aa7ce686c51f457566f917922a91659

Observation 74dc81ff-4ac8-415d-9f1a-917a4166e790 · outbound

This paper cites Dynamic Feature Pyramid Networks for Object Detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Dynamic Feature Pyramid Networks for Object Detection

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:06:56.318030Z

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=arxiv_source observed=2026-08-06T10:06:56.105874Z digest=sha256:fa22a119ab3023686e82fb84b6979ab1819a0cb8ef9a002564b092c950ae7109

Observation 11e837b9-9fe7-416a-81e9-203c54ea54e8 · outbound

This paper cites Pedestrian-specific bipartite-aware similarity learning for text-based person retrieval.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Pedestrian-specific bipartite-aware similarity learning for text-based person retrieval

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.647496Z

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=arxiv_source observed=2026-08-06T10:06:56.114227Z digest=sha256:19044d79cc502a2f068799e2202994195ad65512e247ebace6fb5990c4141d1c

Observation 9190cfd7-b6ed-4716-bbb5-d1d5e9e17042 · outbound

This paper cites Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T10:06:56.121110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:06:56.121110Z digest=sha256:def1a985fda67c4dbfe5aa7265aa0bf8caa16945226c4eb266635e4d4abdc5e9

Observation 9b54f675-61fb-4fc4-ad9e-30dea0c8cc99 · outbound

This paper cites Yolov8 by ultralytics.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Yolov8 by ultralytics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.624729Z

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=arxiv_source observed=2026-08-06T10:06:56.130014Z digest=sha256:48e1400b64473febe9d71463fb6449792dd5523e9eb3ff97fd472e7dd8fe36f9

Observation 557b904c-f7c9-4b97-b77d-e150c7fdbef7 · outbound

This paper cites Yolov10: Real-time end-to-end object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Yolov10: Real-time end-to-end object detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.602433Z

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=arxiv_source observed=2026-08-06T10:06:56.137646Z digest=sha256:18f32611d623e08ed103152eecd0a58f229185a49ebaae0d62dd51fb280edc4f

Observation 0a4bbed6-ab62-4ffc-b0b7-0daefdf72cb7 · outbound

This paper cites Ultralytics yolo11.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Ultralytics yolo11

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.581318Z

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=arxiv_source observed=2026-08-06T10:06:56.145709Z digest=sha256:c5902660a2d403b965a9e7b36de1d7924fb7bfe37728dece2b6a22f593b76da7

Observation ea0a4b8e-23c9-42e0-92d8-f91f51af81e5 · outbound

This paper cites Mask r-cnn.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Mask r-cnn

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.556960Z

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=arxiv_source observed=2026-08-06T10:06:56.153894Z digest=sha256:bc64254de76e620c6ce22ca817ced3e3beb6aaf1b6a452bc8304f28e03634cbe

Observation f3eca9b3-ea6c-45b8-b11d-82b12bcf4cd5 · outbound

This paper cites Yolov5 by ultralytics.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Yolov5 by ultralytics

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.525362Z

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=arxiv_source observed=2026-08-06T10:06:56.166947Z digest=sha256:99a945a9c64c555a033c29aa1d3fb0f386cc9d0d416653669eb2a06aae63d808

Observation 205bc458-c97a-48b1-9235-5be32e4f8d3b · outbound

This paper cites Fish detection method based on improved yolov5.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Fish detection method based on improved yolov5

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.504589Z

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=arxiv_source observed=2026-08-06T10:06:56.178157Z digest=sha256:15a1b152de4b18c0e69fa1d87f4ed181264c56029b15cdb1ee37692ac4a69271

Observation 2e858d2d-7d52-4dfd-8265-f8e0fe336ee6 · outbound

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

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection End-to-end object detection with transformers

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.486786Z

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=arxiv_source observed=2026-08-06T10:06:56.186684Z digest=sha256:857633402bc7058148cd549dae9578414a70b364b00f5e388d51bf786215720f

Observation d6d45861-9c0e-43dd-bfc0-e2ac97111bf0 · outbound

This paper cites Detrs beat yolos on real-time object detection.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection Detrs beat yolos on real-time object detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.465246Z

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=arxiv_source observed=2026-08-06T10:06:56.193247Z digest=sha256:e352b00c8335382221883968e96089483a5d90d70972691dbca44f9dfe587fd8

Observation f8692aba-0b63-4397-8041-1592b5ea21c9 · outbound

This paper cites A stochastic approximation method.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection A stochastic approximation method

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:06:56.435996Z

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=arxiv_source observed=2026-08-06T10:06:56.198455Z digest=sha256:f8200e50f614c73814531ade964cee117f7ebcd6256143fe038d226b4f8eb12c

Observation e101817b-f8ee-4db2-bb3e-9180e8633bca · outbound

This paper cites write newline.

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection write newline

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T10:06:56.206774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:06:56.206774Z digest=sha256:ded365dea3f8808742ff7b868447c9189495585b0d672603c0d23e0e08b48c4f

Pith citing papers

No inbound Pith citation observations are available.