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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.842795Z digest=sha256:9ab7cbf2180e384bd9e3cb5cdeb02d037ef20676e86ab857b3124269f3a7165e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.852050Z digest=sha256:b28fba5c1d284479e4d3b3a4db707e2b8cfeb6d9b736d3b9cedefac978db9900

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.859606Z digest=sha256:9df90e8afa56faf989fd31cb1e6b9a39ed62d4d7780767184658f78ae1518d61

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.865964Z digest=sha256:937cee762d6f436a0724196842502f399f50077bb6677f37422ff0d75953e8f2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.871056Z digest=sha256:586c4cbf81a19959f9f6c27d24a7f6da5b8f54eacdfe67e09f166850dbdffdea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.876258Z digest=sha256:b670367e839f1816282ff454aef1994d00904c9e4a43d16d44f587cf1271ef90

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.882394Z digest=sha256:bd679f5cd3b72ddebee0dfb3e658680cd7a710be83e575966e8d6505a8cafa87

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.887881Z digest=sha256:5b7a88807b52756e683975770dbc1a83006039d6ca4f1db70fad5e9db6918564

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.898020Z digest=sha256:a47a8848513f79045cb553a5a165b2b9acb366c01a7e283845e5e8cf00c216a8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.902752Z digest=sha256:5d9cf6500bac6c4b709408f1ef497365aa79eabadfe25ad9e9a9a6f91356efc2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.907525Z digest=sha256:a78eac212afd0994f46329cb40dee223a0d810e4c7f1c60fce9fada8c7777681

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.913103Z digest=sha256:9912c1f61038cf824fd5f02138d7355790821a588a4452ddfa876c2843895926

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.919461Z digest=sha256:d1d932d304c14149f6b095c951ffe49c6b544ea2b65c5f3b9eeea8668b438407

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.927311Z digest=sha256:2797582e851f70789ef065b081189ac58944d0c6bdf6e22dabf70ec6cd8aa7df

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.933372Z digest=sha256:601a452c7cf4a7c6107fb997300ec2ca23e5807c90a2ad06cdec08e8cc6bf1fe

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.939047Z digest=sha256:471ed4a8c6672c7467c972b95c7fabf1959029d1539b3ec14d0af245a1574534

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.943851Z digest=sha256:4997b836816fd416f950b5522e01e69915fc3b1d2952ce57d6297900dd3b2962

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.949198Z digest=sha256:329c222a644d67282710a6a07a1226901d6c482488fa8f1d71596f185f393644

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.954547Z digest=sha256:38164d4b191487abc53e57f834caf7454679036e403d912e31a552dc4890dd64

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.964320Z digest=sha256:9d6185a66800781e09479606ab081cbdefceb3cfb187f9fd7ff9265a454e3c82

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.970212Z digest=sha256:01b1e18f033bd0e4b60cf96cd74f4ef4c16a6cd889bf71b27de70a955ff33ad7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.978642Z digest=sha256:e3a943f5e180077fe007485fe60f5322a9b5bd63ded1c244238f1783fdd2263b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:55.986454Z digest=sha256:743268da7d9170dcffc834457dd6219e126ab3f597aeceea6e09fab6bef8191e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.002470Z digest=sha256:43c050d364bb66340381c5189a8133e428cd3cd85371f858b6b8a6902c6e2cc1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.008334Z digest=sha256:22ce7cf758339d4b2b48825a6f83c346af4186f024837198d7519dbf7e008a24

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.013591Z digest=sha256:2a8ef0570209619082ed9b64e3e353a79ce618e979c3ca0c04ba19454f5cb3ea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.022126Z digest=sha256:bf7ebe1550db9391cbc2dd2e03db7fa2aefa1326a4b19e6fc3d41f26559620ae

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.032238Z digest=sha256:c5e557e037543ec7a6d302499530fcaa43f9a2f5c7c7d2403e26c841da700c99

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.039506Z digest=sha256:4454bdacdff6731d1ec7df8b6e6e0718e998f1620c0647233e9c0297588445a0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.047923Z digest=sha256:99871585428ebb1c2bca61c1d56ede3cc1c66f8da16d8b32fb586d6c2192b039

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.055875Z digest=sha256:e2b9f803223ff66db1f548e657522d0c8798aeabfb143f95daa019d3343d466d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.061198Z digest=sha256:b9a884b4f76c99c04cc4ea2834b61de8bd58bbef8222fbb0cf7fc2a001775da0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.066296Z digest=sha256:5f6c303285c6016a72316d0a093d91122d6d8eb68f04ce73b318fcd7f9b5baaf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.071266Z digest=sha256:935c272057b65e8c98996c85bade5bd89b9113a7b1691dd7a48da3bb9f3eac38

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.078383Z digest=sha256:01af6719dcc81e2270a564275b21f74fbfdf043189c34f59722692d21a5ba16e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.085411Z digest=sha256:22399870c6618185b05fa1f90e31d40670673cf724121f86e6d7dc79375e050a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.091231Z digest=sha256:1d4daeac77933fc4edf68c2e9910506d44e50efb43d7dd94e0d5b943d7530813

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.098240Z digest=sha256:23076e29880e07f865d0e26d9c7de20155ca584f4c18fdafc056f4a0b659c7b8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.105874Z digest=sha256:eb03dbaaff079d89a32401b700023ca868e65588eb65cd9882de7e4a655c3b99

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.114227Z digest=sha256:5b2e1a0257ca3de393b38ee21022f9c07171417157b39e503a7f2121026126e2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.130014Z digest=sha256:6303b17f45feb7e4ab3095c58292dbee953b1ea61719d2032e19b756f7ef52fb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.137646Z digest=sha256:52ffdc19ef8c65622c672e8cc3ee29cb4432b9d72b4522ef400bd2e9e9d6bdf2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.145709Z digest=sha256:e9602d6a33cd631080ca082bb6c892f11e2402c60ce50848c048c0578b1445d0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.153894Z digest=sha256:cb3e59b1dfaf4b5e600e36bc002aaba103a7a985b201a9457f6bd0659896f4ab

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.166947Z digest=sha256:cdd02bbe53544716a1e80a30f841fab2bed15e25ac274a6cabc76ffccd173dac

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.178157Z digest=sha256:809c96b268770384cae0f06d4dce1528a1253090d927d75a1fd024ce71303b76

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.186684Z digest=sha256:76452b922c59be97d381e51919a645ea6144bb994c9ad6db4c2b0655494d1c26

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.193247Z digest=sha256:0a1b242f22c9a07b5c250e7c563287e3883da455a8895da339a3c712e48f89d4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:06:56.198455Z digest=sha256:1b44b3032c035d7aacc5863b4018a9cb1ebfff935a763fe4bdd57728b21079fe

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.