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Paper Citation Record · LEDGER

EPANet: Efficient Path Aggregation Network for Underwater Fish Detection

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.842795Z digest=sha256:f59f22f9e7d054a35f7bfd3ba659761c077ea221d2158a26d9c9b0fcee1ede3e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.852050Z digest=sha256:da31ceda568298c82bdb795b427c01feb5f55fa3953660043f2b747bba9af80a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.859606Z digest=sha256:f06819512899d3a04a017b8d05de83bb3d8ad063000ec6b99d5089764b5a4d0b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.865964Z digest=sha256:8c99990876a43eb5118e6a47827cfa34f90852b26a33049950e1b8061a5a2d3d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.871056Z digest=sha256:51e1a354d04a19812765ebfcfffbda85911e91532071e249bd8e6da0233397de

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.876258Z digest=sha256:207215684c0fee0a232f2d457dc1e5da96918fb1d203bf72ef21eb8a7e1c8bf9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.882394Z digest=sha256:08017368f62da93878e15ccfd881673fe103663cb4396876a8f9f5eefc3df4b7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.887881Z digest=sha256:c5641a7e1ed4b8bfbce95e45b819e285fdd272a7037956fab02768cd9fef0e91

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.898020Z digest=sha256:c1d198669c2debbf5ce80d65c5f8c70ff1f24500d8dc989b9ba0729729b11237

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.902752Z digest=sha256:80eede06f5f65651e07cffb189da1071e48af9cee64a71430251d261b63ff422

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.907525Z digest=sha256:acdd7b697038a79be069a6e2df4194dc855de31075a212f49b19bd27174a2afb

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.913103Z digest=sha256:121685f3c0635d6842f65ad8de458fc6d3749fdb054d4ebf73c318be1cfd2935

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.919461Z digest=sha256:c169826ef06d82e5c7ae6bfc4f0d8cb12df1b07dead3e44e06dfaa5b95da6ede

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.927311Z digest=sha256:e0e85c189faea64e6746030103035a5e65b720e9976f8c7e97d5a7e27c155f85

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.933372Z digest=sha256:126214d39d5a182123c47e4af92d993b9619fbfbff962e0bff4ca9696a5078f3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.939047Z digest=sha256:0ef8bdd49d3bdab1d7ae9352e4361c1f23b1049aae093276c7e60b0110959f4b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.943851Z digest=sha256:fb71eaf73b956c398b5c05341779595576242b8ad4ac1fd05d7f64d0a7eb1eeb

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.949198Z digest=sha256:6da3333516516fb4faff6d94e646a1f2b88bccbd010f94b543cd69526691e02e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.954547Z digest=sha256:fa11ae99c8a7dd73a0c55148648b8543ecfab16e445529f5ddc393ec37699a9c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.964320Z digest=sha256:1b5a845a1687a51204c33ff8fbeb4e4b9bb8f0224e624a349e13c800e1633936

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.970212Z digest=sha256:3b73e013129d1b3eaa620d47fa6f46a4013a3a290a5874865fc2809a61a122d9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.978642Z digest=sha256:7e38fc9f500d0b9d5a2df70b1c566e2c2bea97c662d8a62a4caa7445f407e44e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.986454Z digest=sha256:3457b7129ba2c1990d06aa0708eb1b6c23774590ae386d920359cf342ad29bf5

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=sha256:895b9cd50d4fce0fae9f14ad511b9677dd2730f16a85294bc467b8ba36b265f9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.002470Z digest=sha256:34c628f32f0a55b5635322597995b47b578886330ba73a45024a495a48ecfd13

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.008334Z digest=sha256:c6d0ccf908374675505c5c08b471844ba77848813f6049acdc108349cadcdd2d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.013591Z digest=sha256:a15074b0dbd9cf6b6af5a02f4ae5bf97675a23e4fcac4c20bb0b2491a11707db

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.022126Z digest=sha256:eeb2e4f270d905a47dc20003ce17df835f8690f0681081883648456325555f44

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.032238Z digest=sha256:192908cfac3992db9373657b0c1f154e6f68f676a44a83e1b30478683a30cd13

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.039506Z digest=sha256:1668c055eb9b9fc85d0a7f1f86c1df3ec1e7e42cfbb69cdeb95ca24ced266b51

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.047923Z digest=sha256:cf563fdffce9339c7bfcb364223ca5d2bb4aa4e63a5aeab02b712149d5ff45b2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.055875Z digest=sha256:ded2f728e40422147884bac465752ca8f8c0b2984e233c3570cf3e601e309f0d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.061198Z digest=sha256:d3814d1407865f0dbfc2b1a2a0bada9fd10cf588d8e6b87601dc4028f719b2fe

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.066296Z digest=sha256:a54b262f134b2437711ceffdda8dddb2aee645c16ee795f1832a4c4090470602

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.071266Z digest=sha256:ce63b8e4bb1d05eca3d2644e6c937b967353d24286131acd4289ffefe3e31d38

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.078383Z digest=sha256:7dcd7e96534702f5d8ed2dd7ab9560eb66e8fe9ad4f03097c971a8d7611cb881

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.085411Z digest=sha256:997caa90854cfdc71e670e6965367cdd14a58836214a952de435a706de36ab57

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.091231Z digest=sha256:2af4e44c35304a526b30268522c95b4b617f1eb0b4ff15d4b69760432bc6ab34

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.098240Z digest=sha256:a8f51989701fa5aeffbbbcc024a6f3e239eb0cecd51576f01492ba32aaf46934

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.105874Z digest=sha256:3ea78fbbb7b71646a77a25b31b7f33ca7849ceee2be5ee2ecb8998c2fcf68fb8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.114227Z digest=sha256:537b29a06d43d918d5e734284acbda330542bdb0f9df5e09574085958ffe5e5b

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=sha256:9abf3dec0d1d581c0715073b9dfc4a1f557ffb22302e0482e70bb5c4c7087d9d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.130014Z digest=sha256:8d6feceeb24d931fdbe721738fbf17b95ed7e18c7dc7ab993c9ecbb7ecadd966

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.137646Z digest=sha256:4c5494707146d768fc8d90244c80f668f9cf9e16a4cc7261631958394b2aeb79

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.145709Z digest=sha256:5768b8d509831a84a3c18b93e82b44c62751bbe30ca936bbe562fcbc404f1797

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.153894Z digest=sha256:66f7853748d38474cb3d258db49f31b9675db76f254f77f2e1039df7649a6874

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.166947Z digest=sha256:d23009d4d5893d51afc15dcb8a9b23ea48008e2e0e337b49643e8234095b401f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.178157Z digest=sha256:edefe66c902542e7a76b59d4398d8675ce969e798809bd63d404522a64ba0d56

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.186684Z digest=sha256:9d3c5a574202eaa7e8dfb7532e876393ac3db84e691e99303e1984c307e6a9ad

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.193247Z digest=sha256:4c889280047a2e669c44ea8efe7ca7c39b02f0439dc01b2f1a7d4298850cf615

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.198455Z digest=sha256:d8dde03388a2bb65ed35ecc3e6ee725a3797702a48e79fe64b590aa3854c25b7

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=sha256:5f1f3bfd055276b544930b939fe7120b45de211f3bd97735c181d5dcc326fcaf

Pith citing papers

No inbound Pith citation observations are available.