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Paper Citation Record · LEDGER

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2412.09765.

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

pith.paper-citation-record.v1
2412.09765 v4

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:51:39.729706Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:44.624252Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:20:45.205070Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a3da03f-053b-4204-83fc-7dbe366febda · outbound

This paper cites 26 Published as a conference paper at ICLR 2025 0 4 8Enhance ϵ 0 40 80Diff.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement 26 Published as a conference paper at ICLR 2025 0 4 8Enhance ϵ 0 40 80Diff

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.807415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6e90fdbb-2293-4ea7-b9d5-5214bab7330c · outbound

This paper cites ImageNet: A large-scale hier- archical image database.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement ImageNet: A large-scale hier- archical image database

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T16:51:39.652182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0f38f4d-f8a6-4c64-85dc-53ecc0b53ac2 · outbound

This paper cites Amicable aid: Perturbing images to improve classification performance.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Amicable aid: Perturbing images to improve classification performance

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.979606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c4379df6-8581-459c-a4a8-49b9f9bcb490 · outbound

This paper cites iNat Challenge 2021 - FGVC8,.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement iNat Challenge 2021 - FGVC8,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.952239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.671118Z digest=sha256:b467f4ee90dc68a8ed36cd4807060b89dbdc913ebd8da1e2bac4ff7b30d38d59

Observation eb5263c3-6257-4ce6-b406-1fc7ce6a9583 · outbound

This paper cites Gradient-based algorithms for machine teach- ing.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Gradient-based algorithms for machine teach- ing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.926125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.679896Z digest=sha256:991bd21824f306635f2316e4034238a33f8354c148ca7d8691d717be76a7b37c

Observation 8e098bf4-20f2-4432-ac3e-67b2d2decd86 · outbound

This paper cites an unresolved cited work.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:51:39.838901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.707795Z digest=sha256:e66dfcc350a2714e62d852750c2b2211fde75b529af074f1d2f95aa1256b7a8f

Observation 6d061275-b9e7-46fb-9cce-757c9abc565c · outbound

This paper cites rodent” class (as many people may not recognize these as rodents), and we did not include eels in the “fish.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement rodent” class (as many people may not recognize these as rodents), and we did not include eels in the “fish

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.869405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4763870b-22e1-48a3-9327-3d8a2c724608 · outbound

This paper cites RN50 = ResNet-50, and ϵ values in the labels for each bar show the magnitude of the adversarial perturbations during adversarial training.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement RN50 = ResNet-50, and ϵ values in the labels for each bar show the magnitude of the adversarial perturbations during adversarial training

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.854768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.703174Z digest=sha256:ac81eb34e8b25d37b2cece2146a51fc833a6fe40905a2fd3a726834d114a0bbc

Observation 349061f9-9ad2-44c2-96b1-4e12a9c3e6a4 · outbound

This paper cites confident.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement confident

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c0b3b91a-c587-4c4c-9509-46f954aaf2dc · outbound

This paper cites enhancement taper.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement enhancement taper

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.791374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.720879Z digest=sha256:566f9adb42c787b4dd0ddeaf0866b79e7ecebb9684f86ece9c3f01314d9c7cec

Observation 346505dc-cd22-4337-be71-b742fe612c74 · outbound

This paper cites Enhancement Taper (shuffled).

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Enhancement Taper (shuffled)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.777779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.725261Z digest=sha256:4cef1cc11d3b56d3cf90919b94dca168f2ed0541143ac36a7728b24098c60e21

Observation 4c38b118-9544-44ce-9069-0aec1bacf936 · outbound

This paper cites grasshopper.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement grasshopper

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.897983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.688355Z digest=sha256:6c4a444517798fd33dab7ffdec72ff815eaf53fd7c54c6f6502db7de5911c416

Observation e704a7cc-2f81-40cf-a8a2-7983dd6daba6 · outbound

This paper cites Leda,” “Ajax,.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Leda,” “Ajax,

Reference 21

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T16:51:39.764218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.729706Z digest=sha256:468d6252400d3066938b9c03343bdbf80fa300d53907960698a361ced070a3b3

Observation e90d75e1-1b40-41c3-a946-65083f20529c · outbound

This paper cites an unresolved cited work.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Unresolved cited work

Reference 224

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:51:39.884368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.693025Z digest=sha256:e9c8cded20c7ecbc399857fb78e9aeefed502d048bf12bd81e77e5386083248a

Observation c0dda319-6870-4af1-b55e-2e2191f43340 · outbound

This paper cites The top row shows original ImageNet images, and the second row shows the same images after enhancement by robustified ResNet-50 (training ϵ =.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement The top row shows original ImageNet images, and the second row shows the same images after enhancement by robustified ResNet-50 (training ϵ =

Reference 1994

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.912402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.684067Z digest=sha256:3665ff4778d6f1a504f34e86823679250eb518ad28b49edddd08521b6596ef44

Observation 50c44c8d-8180-4ef0-a6b2-a8058b274e34 · outbound

This paper cites A light recipe to train robust vision transformers.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement A light recipe to train robust vision transformers

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:40.018114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.647356Z digest=sha256:cfc2cb9d5beae6ae4b6e7b8fa356ff467e7a9a64cff2900f278c05bf990f2b03

Observation 7a76634d-4764-4a61-8df5-1dfb1f640447 · outbound

This paper cites 12 Published as a conference paper at ICLR 2025 Thomas Fel, Ivan Felipe, Drew Linsley, and Thomas Serre.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement 12 Published as a conference paper at ICLR 2025 Thomas Fel, Ivan Felipe, Drew Linsley, and Thomas Serre

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.993514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b49d70fc-9ac6-42a1-a708-17e3af48495c · outbound

This paper cites Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, and Oisin Mac Aodha.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, and Oisin Mac Aodha

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.939548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b48def42-1de9-494e-8430-907e1fac1038 · outbound

This paper cites Teaching categories to human learners with visual explanations.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Teaching categories to human learners with visual explanations

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:39.965671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.666112Z digest=sha256:2d1370ab76339897198e3d6b242c73d9954ca5da2dd53c1c506c6c5436c4fce1

Observation 5d73ade8-d0e4-410a-a01a-ba44ac438138 · outbound

This paper cites Cormier, Yan Xing, Meichun Ding, Jeffrey E.

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Cormier, Yan Xing, Meichun Ding, Jeffrey E

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:51:40.032505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T16:51:39.642141Z digest=sha256:b964f35c18286e9211052ab5c5ded5f6c9391111f2df7e2bdc341125f4f58adf

Pith citing papers

Observation d9a795b2-cea1-40bd-a23e-16774eafd9db · inbound

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations cites this paper.

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:20:45.211465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:20:44.624252Z digest=sha256:43948bb07e3250836c0ee6b03d632e14c646544bc590b481d82166b95ed00fe2