Paper Citation Record · LEDGER

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 4 inbound Pith citation observations for arXiv:2507.22380.

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

pith.paper-citation-record.v1
2507.22380 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:51:03.935608Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:50:43.817589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:14.834394Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy15
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2ab9369-96fa-4be5-87d6-b0cf63fbdd36 · outbound

This paper cites Sim-to-real transfer for vision-and-language navigation.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Sim-to-real transfer for vision-and-language navigation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.969792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 685c8980-596a-4188-9251-6e9f40b388f4 · outbound

This paper cites Representation learning: A review and new perspectives.IEEE transactions on pattern analysis and machine intelligence, 35(8): 1798–1828, 2013.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Representation learning: A review and new perspectives.IEEE transactions on pattern analysis and machine intelligence, 35(8): 1798–1828, 2013

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:01.970772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bf74e7-b9a3-43b3-8576-2be2a04e15bd · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.091283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a645e894-e38e-482e-a51d-9672a815a6b5 · outbound

This paper cites Foundations of structural causal models with cycles and latent variables.The Annals of Statistics, 49(5):2885–2915, 2021.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Foundations of structural causal models with cycles and latent variables.The Annals of Statistics, 49(5):2885–2915, 2021

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.131152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95761496-b4d6-4aff-a251-2ec816215d19 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control, 2023.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.742473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0208307c-41b1-4c2e-9419-7b1c10747139 · outbound

This paper cites Causal confusion in imitation learning.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Causal confusion in imitation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.563468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 270b59cb-054b-434e-a415-bc2e84c79fc1 · outbound

This paper cites Generative Adversarial Imitation Learning.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Generative Adversarial Imitation Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.370031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32aad639-7cfc-427b-9c85-11ee743cc854 · outbound

This paper cites On feature learning in the presence of spurious correlations.Advances in Neural Information Processing Systems, 35: 38516–38532, 2022.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations On feature learning in the presence of spurious correlations.Advances in Neural Information Processing Systems, 35: 38516–38532, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.251921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb1726ea-6870-4e0a-a4d7-87081a80d8cf · outbound

This paper cites Sim-To-Real via Sim-To- Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Sim-To-Real via Sim-To- Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:06.091149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7affd27-edcf-40bb-a0f2-002662c12430 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.454359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f5142b4-251f-482a-aeab-ebd542d74034 · outbound

This paper cites Learning causally disentangled representations via the principle of independent causal mechanisms.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Learning causally disentangled representations via the principle of independent causal mechanisms

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.863161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4016d781-c726-49cb-b9c2-6506699ea6e4 · outbound

This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Challenging common assumptions in the unsupervised learning of disentangled representations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.530679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb08d6a-9d2c-424b-ac40-bbe66df103e4 · outbound

This paper cites Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 1, 2021.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 1, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.670030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdc13c2a-4c71-4579-8745-553a1161a2bf · outbound

This paper cites Solving Rubik’s Cube with a Robot Hand, 2019.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Solving Rubik’s Cube with a Robot Hand, 2019

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.534357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation daf95c18-1361-4e14-ac87-1af23fcb0cc1 · outbound

This paper cites Andrew Bagnell, Pieter Abbeel, and Jan Peters.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Andrew Bagnell, Pieter Abbeel, and Jan Peters

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.727936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286ca7c3-d611-4a6f-972c-44c1290011b1 · outbound

This paper cites Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:02.785125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c7edd3-d550-4063-859a-64cd98f8210c · outbound

This paper cites Cambridge University Press, New York, 2000.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Cambridge University Press, New York, 2000

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.363120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 460c9601-b1ba-49e0-b342-366f34a36b7e · outbound

This paper cites The MIT Press, 2017.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations The MIT Press, 2017

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.191830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 826a8d5d-87c9-4658-903f-d78b320b7464 · outbound

This paper cites Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:51:04.402007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e897521-1d5d-49c6-a83a-608b936f2d5b · outbound

This paper cites Behavior Transformers: Cloning k modes with one stone.Advances in Neural Information Processing Systems, 35, 2022.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Behavior Transformers: Cloning k modes with one stone.Advances in Neural Information Processing Systems, 35, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:05.002134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27b05df7-a41e-498b-9c5d-e95d7dc46241 · outbound

This paper cites Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:04.842268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09b4907a-c323-44d8-b9b8-143709947866 · outbound

This paper cites Resnet in Resnet: Generalizing Residual Architectures.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Resnet in Resnet: Generalizing Residual Architectures

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.224219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efe4a3c-6fc3-4822-86dc-1f43a51ed147 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Domain randomization for transferring deep neural networks from simulation to the real world

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.310949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22383cf6-95da-48a2-bdcf-eaee2a61fba2 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Mujoco: A physics engine for model-based control

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.426909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec5dc05-99e0-489c-bf22-da6c672be72e · outbound

This paper cites A Survey on Causal Inference.ACM Trans.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations A Survey on Causal Inference.ACM Trans

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.518776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 657ae4a6-07d0-465b-8d19-e0d7b0ce4e1d · outbound

This paper cites Kebria, Abbas Khosravi, and Saeid Nahavandi.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Kebria, Abbas Khosravi, and Saeid Nahavandi

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.580148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a3c388-517d-4f10-8f31-6f8340295e8a · outbound

This paper cites Transporter Networks: Rearranging the Visual World for Robotic Manipulation.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Transporter Networks: Rearranging the Visual World for Robotic Manipulation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:04.659422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0171428e-0899-4753-b2ed-a90e19846cc6 · outbound

This paper cites Invariant causal prediction for block mdps.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Invariant causal prediction for block mdps

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.727424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1857240-0603-4575-a170-82460183b0c1 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Learning fine-grained bimanual manipulation with low-cost hardware

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.807629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c365cd-0d45-491f-a8ed-136f3c0004e5 · outbound

This paper cites ALOHA Unleashed: A Simple Recipe for Robot Dexterity.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations ALOHA Unleashed: A Simple Recipe for Robot Dexterity

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:51:03.858629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5dcef3-d89c-401c-b20f-778b982ce638 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Sim-to-real transfer in deep reinforcement learning for robotics: a survey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:51:04.537675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation f469c0c6-b861-4060-9f94-f61e65c15bc0 · inbound

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation cites this paper.

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T22:50:43.817589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a936e4d6-b8d9-47c0-8b3d-dd23072e50e5 · inbound

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation cites this paper.

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T22:46:46.435732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f95e4ce3-8ff4-4e4d-89de-36e150de2971 · inbound

SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection cites this paper.

SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:52:08.715340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41364b01-0b58-408e-97e2-b19514529bb2 · inbound

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.836493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.