Paper Citation Record · LEDGER

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.10655.

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

pith.paper-citation-record.v1
2607.10655 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:12:06.757775Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

54 of 54 outbound references displayed

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verified fuzzy0
unresolved54
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malformed identifier0
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External citation measurements

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Outbound references

Observation 0e598687-d52f-4408-a663-806fb431d2de · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 1

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Observation 308a5ecd-e027-475d-b3ff-aa176bcf79ec · outbound

This paper cites an unresolved cited work.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 2

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Observation ed2fbe23-bcf3-4920-ac4e-f9c9f5fc4c78 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 3

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Observation b46373f6-03ce-4c98-a0ea-9e5ec4b7b728 · outbound

This paper cites GPT-4 Technical Report.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models GPT-4 Technical Report

Reference 4

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Observation 43d89bdb-89e1-4c7d-8b04-33b23d89f3b5 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 5

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Observation b4ae9e61-bf18-4f27-b256-8d501ff31478 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 6

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Observation ab500f05-4f98-426b-9065-66bdf92ea2f7 · outbound

This paper cites Grover, A.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Grover, A

Reference 7

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Observation 94b6ef1a-f661-42e9-981e-024113dfc42a · outbound

This paper cites Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

Reference 8

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Observation 063f8d59-aaaa-4606-917a-1b7c2d302e4c · outbound

This paper cites Kachaev, M.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Kachaev, M

Reference 9

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Observation 2b399409-ea8b-4127-8b79-bb5a40d13a54 · outbound

This paper cites Geirhos, J.-H.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Geirhos, J.-H

Reference 10

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Observation 4e1724d5-27a0-4e53-840f-fefc2f62ca35 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 11

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Observation bb100c72-d15e-4187-b7d0-79d180c05aa1 · outbound

This paper cites Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification

Reference 12

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Observation d9263887-36d1-4786-b6d0-c9b5ed11a216 · outbound

This paper cites an unresolved cited work.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 13

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Observation 23ba24cb-87b4-4739-b8cf-78c65681e398 · outbound

This paper cites Howard, M.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Howard, M

Reference 14

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Observation d82b876f-0eb1-4f2d-923a-c6b16532d5fb · outbound

This paper cites Dosovitskiy, L.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Dosovitskiy, L

Reference 15

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 16

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Observation 3857e192-582c-47c2-b743-39bc7a323ab2 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 17

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 18

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Observation e6e4d1e8-9162-4b9f-ae29-281d52ca2ae0 · outbound

This paper cites Radford, J.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Radford, J

Reference 19

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Observation 90704bf7-b73d-43ca-908b-87cc24fcf757 · outbound

This paper cites Perez, F.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Perez, F

Reference 20

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Observation cea434aa-760a-48fd-969a-a1510884d9bf · outbound

This paper cites O’Neill, A.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models O’Neill, A

Reference 21

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Observation 73321963-a2f5-45d8-b0ba-dc927ba68fbf · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 22

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Observation 0e219761-b08a-438b-a6fc-bcee90f3785f · outbound

This paper cites Mandlekar, S.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Mandlekar, S

Reference 23

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 25

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Observation 8eb1deac-a821-4484-a7b2-806470dbd102 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 26

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Observation 2e7a8423-bebb-493d-9503-2ac4ab006b95 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Rubner, C

Reference 27

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Observation 2ffb7caa-012c-45c0-9409-f4960b2bb4fc · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 28

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 29

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 30

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Observation e5250f03-39cc-4784-8eca-fa68c1e1f904 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

Reference 31

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Observation 447645fa-0f88-43ac-8fe9-fb0554b37b1e · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 32

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Observation 3413832e-1efd-4eea-af4d-542373ec3d53 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models PaliGemma: A versatile 3B VLM for transfer

Reference 33

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Observation 2d6a9001-ae70-4441-abea-eb14f17aa425 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Reference 34

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Observation 10b2417f-b6fa-44c0-9381-a47c73e38cad · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Motus: A Unified Latent Action World Model

Reference 35

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Observation 22aa431a-a926-47b7-b188-120462545bbc · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 36

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Pumacay, I

Reference 38

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Reference 40

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Observation 77788855-4677-4dbe-aea5-46292c7131e4 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Observation 81ec8470-5243-426b-9a3d-e2b7acf4aca1 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Observation 51ce3ebb-4909-43ce-9be4-d03b941617c0 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Maheronnaghsh and T

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Observation be5d3fd3-400b-4d82-b964-41aa8841e112 · outbound

This paper cites Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation.

Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation

Reference 46

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Sagawa, P

Reference 47

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Invariant Risk Minimization

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Aniraj, C

Reference 50

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Observation d924aa47-67c1-4e8d-be91-c4fe266a1c0e · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Observation b1e18081-ac9d-4945-9d9c-6a11f40c9ad6 · outbound

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Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models Unresolved cited work

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Pith citing papers

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