Paper Citation Record · LEDGER

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.06886.

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

pith.paper-citation-record.v1
2506.06886 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:28.471459Z

measured 25 of 25 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

25 of 25 outbound references displayed

verified exact0
verified fuzzy24
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97925153-ef73-44f9-8988-5522677f2502 · outbound

This paper cites Deep learning to interpret autism spectrum disorder behind the camera,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Deep learning to interpret autism spectrum disorder behind the camera,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.732048Z

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.

Observation 772ec798-654a-41b2-9c15-8b53ec00470b · outbound

This paper cites Visual question answering driven eye tracking paradigm for identifying children with autism spectrum disorder,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Visual question answering driven eye tracking paradigm for identifying children with autism spectrum disorder,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.722152Z

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.

Observation 5bf05eb4-b405-47da-a425-3f06db4c5798 · outbound

This paper cites Asdnet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technol- ogy,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Asdnet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technol- ogy,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.712980Z

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.

Observation c440aab3-2b13-41c5-8db2-4e3502cb1744 · outbound

This paper cites Early identification of autism spectrum disorder based on machine learning with eye-tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Early identification of autism spectrum disorder based on machine learning with eye-tracking data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.704087Z

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.

Observation e6205fa9-6368-40a3-b104-8ed265a95174 · outbound

This paper cites Enhanced multilevel autism classifi- cation for children using eye-tracking and hybrid cnn-rnn deep learning models,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Enhanced multilevel autism classifi- cation for children using eye-tracking and hybrid cnn-rnn deep learning models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.685609Z

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.

Observation 2175536b-c733-4051-8aef-9120301925c2 · outbound

This paper cites A dataset of eye movements for the children with autism spectrum disorder,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis A dataset of eye movements for the children with autism spectrum disorder,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.676408Z

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.

Observation 0d4d39da-2525-4152-b1c8-eb055763632f · outbound

This paper cites Learning to predict autism spectrum disorder based on the visual patterns of eye-tracking scanpaths,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Learning to predict autism spectrum disorder based on the visual patterns of eye-tracking scanpaths,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.667325Z

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.

Observation d9ca3ae0-a14c-4b08-b8c1-fbfe1f3333fe · outbound

This paper cites Advances in neuroimaging and deep learning for emotion detection: A systematic review of cognitive neuroscience and algorithmic innova- tions,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Advances in neuroimaging and deep learning for emotion detection: A systematic review of cognitive neuroscience and algorithmic innova- tions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.658204Z

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.

Observation 56e0f36d-8ff0-4c99-aa71-961ff5e09e83 · outbound

This paper cites A convolu- tional deep neural network approach to predict autism spectrum disorder based on eye-tracking scan paths,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis A convolu- tional deep neural network approach to predict autism spectrum disorder based on eye-tracking scan paths,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.694412Z

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.

Observation c1c82c6f-fdc1-4560-8fc0-b9e9526b4fa6 · outbound

This paper cites A novel multi- modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis A novel multi- modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.648955Z

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.

Observation 2610af4f-f4c8-4ee5-944f-7786121ed6eb · outbound

This paper cites Identification of autism spectrum disorder via an eye-tracking based representation learning model,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Identification of autism spectrum disorder via an eye-tracking based representation learning model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.640028Z

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.

Observation cb4206ed-d348-46f1-ab2e-3c5c2898b14b · outbound

This paper cites Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques: Review,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques: Review,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.630690Z

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.

Observation e1625c2b-bffd-4ea4-a9cb-b6cab0694d8c · outbound

This paper cites Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.621264Z

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.

Observation eabda944-aec7-4091-96bd-cbd23692222e · outbound

This paper cites Applying eye tracking with deep learning techniques for early-stage detection of autism spectrum disorders,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Applying eye tracking with deep learning techniques for early-stage detection of autism spectrum disorders,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.612133Z

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.

Observation 30b29edf-7a84-408c-9d37-54e212e7d338 · outbound

This paper cites Vitasd: Robust vision transformer baselines for autism spectrum disorder facial diagnosis,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Vitasd: Robust vision transformer baselines for autism spectrum disorder facial diagnosis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.602572Z

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.

Observation 9117fe8e-afa5-4376-a7e1-f01080151d11 · outbound

This paper cites Vision Mamba: A Comprehensive Survey and Taxonomy.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Vision Mamba: A Comprehensive Survey and Taxonomy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:28.441483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20272cf5-d82c-4b06-a5ee-1a9ea57d4d22 · outbound

This paper cites Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.593218Z

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.

Observation 45e1bb2c-3126-4d11-92c2-967cb01bc240 · outbound

This paper cites Using machine learning to diagnose autism based on eye tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Using machine learning to diagnose autism based on eye tracking data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.584019Z

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.

Observation 911c1bd8-37f0-4bd1-a20f-632351105a5f · outbound

This paper cites Eye tracking biomarkers for autism spectrum disorder detection using machine learning techniques,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Eye tracking biomarkers for autism spectrum disorder detection using machine learning techniques,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.574387Z

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.

Observation 4883a00f-177e-4c0c-b1cf-9633a1fd680a · outbound

This paper cites Early identification of autism spectrum disorder based on machine learning with eye-tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Early identification of autism spectrum disorder based on machine learning with eye-tracking data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.564850Z

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.

Observation 081588d8-cfc2-4040-ba28-12c8cc75947e · outbound

This paper cites Utilizing deep learning models in an intelligent eye- tracking system for autism spectrum disorder diagnosis,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Utilizing deep learning models in an intelligent eye- tracking system for autism spectrum disorder diagnosis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.554426Z

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.

Observation 7d660090-8214-47fe-89f3-1415c0e9bae5 · outbound

This paper cites Machine learning based on eye-tracking data to identify autism spectrum disorder: A systematic review,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Machine learning based on eye-tracking data to identify autism spectrum disorder: A systematic review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.544408Z

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.

Observation 51d3adf9-7928-4573-a914-6e545dde46f3 · outbound

This paper cites A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.534429Z

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.

Observation 429ca069-fb02-4b95-b0e1-d90b751e7e0c · outbound

This paper cites Enhanced multilevel autism classification for children using eye tracking data,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Enhanced multilevel autism classification for children using eye tracking data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.523760Z

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.

Observation b400418b-085e-4b3a-a252-b061ab9d6a64 · outbound

This paper cites Autism spectrum disorder,.

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis Autism spectrum disorder,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:28.512047Z

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.

Pith citing papers

No inbound Pith citation observations are available.