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Paper Citation Record · LEDGER

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.24040.

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

pith.paper-citation-record.v1
2605.24040 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:56:38.795213Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

41 of 41 outbound references displayed

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  • verified fuzzy36
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c8e1143-a20d-4536-a602-2cb3ff8212b5 · outbound

This paper cites Health benefits of cycling: a systematic review,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Health benefits of cycling: a systematic review,

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64f6ee22-bbc2-4e31-b2dc-7edfefa83260 · outbound

This paper cites Pucher and R.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Pucher and R

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 760509f2-c15b-4dce-9a6f-758a4639e419 · outbound

This paper cites Bicycle commuting and facilities in major us cities: if you build them, commuters will use them,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Bicycle commuting and facilities in major us cities: if you build them, commuters will use them,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f4d4fe5-6492-4c83-9e8f-551dc4ee0e06 · outbound

This paper cites Models of perceived cycling risk and route acceptability,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Models of perceived cycling risk and route acceptability,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8cb0b967-4846-4f8e-aa61-55df3fe543d0 · outbound

This paper cites Route preferences among adults in the vancouver, bc, bicycle network,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Route preferences among adults in the vancouver, bc, bicycle network,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d0fd8513-47e0-47d3-baa0-bd0d62fd3ef8 · outbound

This paper cites Crash risk and subjective risk per- ception during urban cycling: Evidence for congruent and incongruent sources,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Crash risk and subjective risk per- ception during urban cycling: Evidence for congruent and incongruent sources,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 983777f1-647a-471b-ba32-9b707542b676 · outbound

This paper cites Assessing bikeability with street view imagery and computer vision,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Assessing bikeability with street view imagery and computer vision,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation de7e91a3-07c3-4c94-b1bd-3364a35204e5 · outbound

This paper cites Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6dcd61c8-757e-4610-9361-de2fadaa6057 · outbound

This paper cites Streetscore: Predicting the perceived safety of one mil- lion streetscapes,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Streetscore: Predicting the perceived safety of one mil- lion streetscapes,

Reference 9

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raw_fallback, observed 2026-07-08T11:54:51.853603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ea1fe180-3e8b-4fa9-9828-cc055b5da062 · outbound

This paper cites Deep learning the city: Quantifying urban perception at a global scale,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Deep learning the city: Quantifying urban perception at a global scale,

Reference 10

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raw_fallback, observed 2026-07-08T11:54:51.859193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3f359daa-1746-4b65-b639-81405de7aac5 · outbound

This paper cites Which cycling environment appears safer? learning cycling safety perceptions from pairwise image comparisons,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Which cycling environment appears safer? learning cycling safety perceptions from pairwise image comparisons,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation baf240dc-c341-4a40-a56b-a912cfb952d0 · outbound

This paper cites Finding common image seman- tics for urban perceived safety based on pairwise comparisons,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Finding common image seman- tics for urban perceived safety based on pairwise comparisons,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7a21ff54-1b97-408b-99e5-d0b3270d71c3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e6307202-4d16-4df7-a8c2-ecff1e9f7418 · outbound

This paper cites Bridging the gap: a scoping review exploring the relationship between objective and subjective cycling safety,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Bridging the gap: a scoping review exploring the relationship between objective and subjective cycling safety,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:f0496aa5143807fa05f54b0b9235ec4b23ae2a36341300f46c7a092c130e174f

Observation 34122677-3f0a-48a8-81b9-26297308c811 · outbound

This paper cites Cyclingnet: Detecting cycling near misses from video streams in complex urban scenes with deep learning,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Cyclingnet: Detecting cycling near misses from video streams in complex urban scenes with deep learning,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:a5e8d1e11894c4f8ee580fb6302e6fbe4542c62fabb083e549aa5c24bc300160

Observation bf78c282-44f1-4a9f-b779-bfbcca2cf578 · outbound

This paper cites Cycling subjective experience: A conceptual framework and methods review,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Cycling subjective experience: A conceptual framework and methods review,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 43b28588-2620-40e7-800f-60dfc0c01fcf · outbound

This paper cites Using an immersive virtual reality bicycle simulator to evaluate hazard detection and anticipation of overt and covert traffic situations in young bicyclists,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Using an immersive virtual reality bicycle simulator to evaluate hazard detection and anticipation of overt and covert traffic situations in young bicyclists,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 92c79c1b-ffc6-4e3f-94c8-6f639c3eb83d · outbound

This paper cites FARSA: Fully automated roadway safety assessment,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction FARSA: Fully automated roadway safety assessment,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f78218c0-59c1-4382-abc2-dc9dd914f82e · outbound

This paper cites Measuring heterogeneous perception of urban space with massive data and machine learning: An application to safety,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Measuring heterogeneous perception of urban space with massive data and machine learning: An application to safety,

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7a3728a8-f682-479a-a97b-090144f6b324 · outbound

This paper cites Using deep learning and google street view imagery to assess and improve cyclist safety in london,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Using deep learning and google street view imagery to assess and improve cyclist safety in london,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c7b7050e-7a05-4c64-8b2e-d375b0181529 · outbound

This paper cites Trueskill™: a bayesian skill rating system,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Trueskill™: a bayesian skill rating system,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 402b914a-57bf-40ec-931f-9f9fe70a01e8 · outbound

This paper cites City-safe: Estimating urban safety perception,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction City-safe: Estimating urban safety perception,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 03f2eec9-ce5f-46cc-8af8-d6e229113a2e · outbound

This paper cites A paired comparison approach for the analysis of sets of likert-scale responses,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction A paired comparison approach for the analysis of sets of likert-scale responses,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c7ed6324-3631-4fc9-b678-ada1e7b7c272 · outbound

This paper cites Assessing bikeability with street view imagery and computer vision,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Assessing bikeability with street view imagery and computer vision,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.876613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6877ad8a-0f7c-4a3b-9f9b-9273dc249b49 · outbound

This paper cites Tell me where to look: Guided attention inference network,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Tell me where to look: Guided attention inference network,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f8d8bbb-970f-4ed0-8acd-ae827854c890 · outbound

This paper cites Aegis: Human attention-based explainable guidance for intelligent vehicle systems,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Aegis: Human attention-based explainable guidance for intelligent vehicle systems,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 071f7617-194f-4d53-8174-d10e4a240c1c · outbound

This paper cites Gazevit: A gaze-guided hybrid attention vision transformer for cross-view matching of street-to-aerial images,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Gazevit: A gaze-guided hybrid attention vision transformer for cross-view matching of street-to-aerial images,

Reference 27

Resolution
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raw_fallback, observed 2026-07-08T11:54:51.901793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 929cc26a-959d-43d5-9eaa-35d9ce8e46b7 · outbound

This paper cites Gaze-informed vision transformers: Predicting driving decisions under uncertainty,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Gaze-informed vision transformers: Predicting driving decisions under uncertainty,

Reference 28

Resolution
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raw_fallback, observed 2026-07-08T11:54:51.903587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:a2c1318f6e5aee2ce517625cae6c5d36b8870941f0750c91c329c065bfe17f99

Observation f5ce6419-4a90-408a-bdc6-175196f109b9 · outbound

This paper cites Eye-gaze-guided vision transformer for rectifying shortcut learning,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Eye-gaze-guided vision transformer for rectifying shortcut learning,

Reference 29

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raw_fallback, observed 2026-07-08T11:54:51.897960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:677f9f211137ea8ee9d7a7b6c1af3c729d977c244a8cfbf003b8514fb2199808

Observation 039a5f4f-3fab-41f5-8a12-16eb96b14310 · outbound

This paper cites Gaze-guided vision transformer for chest x-ray image classification,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Gaze-guided vision transformer for chest x-ray image classification,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.880265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:efaeec6b81be0a133e9d3dfd2c13e9d00f6ada1b1fd2b4c5cdd0c3d4334b74d1

Observation 7c2a9378-655d-491a-abb5-c2ffdd69cc0c · outbound

This paper cites Ogama (open gaze and mouse analyzer): open-source software designed to an- alyze eye and mouse movements in slideshow study designs,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Ogama (open gaze and mouse analyzer): open-source software designed to an- alyze eye and mouse movements in slideshow study designs,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.883867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:37a6a722fc7ce944c2311bb6984b081fd455a1b6887188692b647e503e2fc1ff

Observation 931af014-0f77-454b-9105-bb4ed68ccd16 · outbound

This paper cites Identifying fixations and saccades in eye-tracking protocols,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Identifying fixations and saccades in eye-tracking protocols,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.889427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:dbcea7fcff2a836fbe6fe042494e0fdaf27c2cac587752e425acd9cf0dcb0b90

Observation 05c6d633-43c6-4760-8dfd-06d1813f5ebb · outbound

This paper cites Methods for comparing scanpaths and saliency maps: Strengths and weaknesses,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Methods for comparing scanpaths and saliency maps: Strengths and weaknesses,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.899943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a7df9771-f34f-4744-b676-ed64d1753a22 · outbound

This paper cites What do different evaluation metrics tell us about saliency models?.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction What do different evaluation metrics tell us about saliency models?

Reference 34

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verified exact
local_arxiv, observed 2026-06-30T17:04:57.734588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e0896a1f-f877-422b-880c-3c638a9d8c01 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Pytorch: An imperative style, high-performance deep learning library,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.838322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:f27ad167ed25ed887bc73e6780a98f7b52820216f30bc3ac0a721c019c560228

Observation 657e7014-52b5-411f-bfd9-8fdc6ae402e0 · outbound

This paper cites Decoupled weight decay regularization.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Decoupled weight decay regularization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.863648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:cc5710c31af7921e65634663adcf391ee20d3444cce910c68301abdb679f86ba

Observation 1a49038b-3350-46ed-93e3-3ef67328de2a · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.895088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:fb572878dde18b36e8a641d7b10c50b4ccbe0bd628371e501dedabcb91e22ecb

Observation 6867a55b-b6df-432c-b127-f534746761bd · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:04:57.737527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:3f4364bc29c7196b68253c8043165974c9553d8bf3d87ce1063916c9d9cee1a4

Observation 7430c498-ccc3-41e1-8280-432d88b2dd68 · outbound

This paper cites DINOv3.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction DINOv3

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T17:04:57.740138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:ab50da264deb839384ddf0fa862c7797f0abe38716e00835f1941fb60de8a4b7

Observation 85fa6e36-e7e9-4cee-9a8c-f82d0de5135a · outbound

This paper cites DeiT III: Revenge of the ViT.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction DeiT III: Revenge of the ViT

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:04:57.730496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:89614fdf30aebf4335c08fa0d9956beed9519647eb9ec06df6840367e29ae09a

Observation d085694c-b23a-4019-95b7-dfb913d2ab72 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction Learning transferable visual models from natural language supervision,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T11:54:51.878396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:56:38.795213Z digest=sha256:9524aa0fd564e1cf13927417fcbb8243c0f14c6b61867fe01fcbc82d5d2534a2

Pith citing papers

No inbound Pith citation observations are available.