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Paper Citation Record · LEDGER

Visual Attention Methods in Deep Learning: An In-Depth Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07756.

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

pith.paper-citation-record.v1
2204.07756 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:25:21.032090Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

57
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c60ad1f-6e79-4842-b9ba-f1128387a3bd · inbound

SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.

SlotPi: Physics-informed Object-centric Reasoning Models Visual Attention Methods in Deep Learning: An In-Depth Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:25:21.032090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:25:21.032090Z digest=sha256:7a59bf23c34aa5226b8109e260cd51046a2bd21c9c0487e589de90390615f2da

Observation eb3f22b3-71c8-48c5-b4b1-18d818369da2 · inbound

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI cites this paper.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Visual Attention Methods in Deep Learning: An In-Depth Survey

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T19:09:29.890511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T19:06:48.217079Z digest=sha256:bcfc8687ac6d3678091ce24d5406df36aeb809b7fddf785001b4be5fa5d8474c