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Paper Citation Record · LEDGER

Federated Learning for Computer Vision

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.13558.

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

pith.paper-citation-record.v1
2308.13558 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:07:37.511157Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T22:56:19.682398Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9d30cc1-fbc4-446c-b10a-4d0e582b8a66 · inbound

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models cites this paper.

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Federated Learning for Computer Vision

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T17:11:47.066887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:11:47.066887Z digest=sha256:293189daee7d341b91372a03ad821f3a9e18b042a491782810f52728359d5182

Observation 78597c62-ab4c-459e-96ce-ab7098913d67 · inbound

Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention cites this paper.

Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention Federated Learning for Computer Vision

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T10:07:37.511157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:07:37.511157Z digest=sha256:bf98fd0ccc8a28cbbc8c132956a9e476adf1be436a250c5551e7975e9ab4075d

Observation a1da5829-4ef2-474f-9641-3c0e4d1c5afc · inbound

FedNAMs: Performing Interpretability Analysis in Federated Learning Context cites this paper.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context Federated Learning for Computer Vision

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:33:38.010222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:33:38.010222Z digest=sha256:8ca061945bc016352e7ed6c0b5c130cd56a682364815c92a5ab7a5b23bdf04ea

Observation a1227e24-6703-4fc5-9323-339add08e054 · inbound

Reporte de vulnerabilidades en IIoT. Proyecto DEFENDER cites this paper.

Reporte de vulnerabilidades en IIoT. Proyecto DEFENDER Federated Learning for Computer Vision

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:27:13.496952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:27:13.496952Z digest=sha256:3fa96e84a51198e9f620988d28a5597c64c75f294820dcb2319ca37b604db120

Observation 092b091f-c593-4f6e-866d-71b3b901c11e · inbound

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges cites this paper.

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges Federated Learning for Computer Vision

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.834681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T11:32:49.131457Z digest=sha256:4a2d354e08527207a0a5c7270fff0447cce48258d1f1e9eeaec978eb89662db0

Observation 95764491-c37c-4da1-9ed8-3502b748203b · inbound

Tiny Collaborative Inference for Occlusion-Robust Object Detection cites this paper.

Tiny Collaborative Inference for Occlusion-Robust Object Detection Federated Learning for Computer Vision

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:56:19.685275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T14:57:14.951498Z digest=sha256:886b18783f03d46b5024e080eae7bbf2653929dbd064957cace8f02cb264018a