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Paper Citation Record ยท LEDGER

Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learning

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:39:58.814786Z digest=sha256:8e22ca096ee04e0e44b428980351252c1e8cbdd62dd5d716b4a1670704fd57de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:39:58.957339Z digest=sha256:207f22a6eab8bf81b11f50fd2d1adda58e809b6983991a2eab231536b7cbda1a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:39:59.077775Z digest=sha256:322c4b59bc711051fa65f05ed1f1a0acf6a54479cb38a39606f148aa839c80ca

Pith citing papers

No inbound Pith citation observations are available.