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Paper Citation Record ยท LEDGER

Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learning

As of 18 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2506.13203.

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

pith.paper-citation-record.v1
2506.13203 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:59.077775Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

3 of 3 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72b03888-961d-426c-ac57-298b5f602931 ยท outbound

This paper cites (๐ผ!#$"%),๐ธ = ๐‘“#&#(๐ผ#&#),๐บ = ๐‘“'(.

Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learning (๐ผ!#$"%),๐ธ = ๐‘“#&#(๐ผ#&#),๐บ = ๐‘“'(

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:59.563718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T00:39:58.814786Z digest=sha256:7f8dd6d786e9182218039814f30e909ae1f4e06561ab9d78de9ff13aed1f6740

Observation 3e3ab8ac-d895-44ff-9748-ed2b49b3d736 ยท outbound

This paper cites CLIP Model for Images to Textual Prompts Based on Top-k Neighbors,.

Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learning CLIP Model for Images to Textual Prompts Based on Top-k Neighbors,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-07T00:39:59.554277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T00:39:58.957339Z digest=sha256:b824d305b6cc60bc2994dd4767c761732531783c5da17919c057b3d5b79ceafe

Observation 65a42ced-c016-40f3-9712-d8725fbc1321 ยท outbound

This paper cites Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization.

Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learning Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:59.278799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T00:39:59.077775Z digest=sha256:b9ed1ccfd5017120d9a34138bcf00878c716d7e396bed5504ec01470631b2184

Pith citing papers

No inbound Pith citation observations are available.