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Paper Citation Record · LEDGER

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2307.03659.

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

pith.paper-citation-record.v1
2307.03659 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:21.594339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:02.741752Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 15e41412-9a10-46c0-8a23-489c0d425414 · inbound

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation cites this paper.

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:02:55.477645Z

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.

source=pdf_text observed=2026-05-14T22:02:55.240949Z digest=sha256:9db0a6f4c91ec2808a35a15bf2197f5824ed37f4b3ac87cb6b07f0de1c9b5335

Observation 2d93c2f6-2e0c-4531-ba70-5454683fa24e · inbound

Evaluating Real-World Robot Manipulation Policies in Simulation cites this paper.

Evaluating Real-World Robot Manipulation Policies in Simulation Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:06:19.521219Z

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.

source=pdf_text observed=2026-05-13T11:06:19.481801Z digest=sha256:fb05375d36ac75d32f05904eb79a12dcd01713d6a1e09bfcb688a2d0912a265e

Observation 29d9c600-96c1-4df1-9998-d94d3ddb6a75 · inbound

OpenVLA: An Open-Source Vision-Language-Action Model cites this paper.

OpenVLA: An Open-Source Vision-Language-Action Model Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:46:36.255474Z

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.

source=pdf_text observed=2026-05-10T14:46:35.942338Z digest=sha256:20f5645a33385e45ef064be5d339171788d6475c3d7661d64b31ec951bd5dc87

Observation 15044337-02a9-4b2a-8c2f-fa4687ef55ee · inbound

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields cites this paper.

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:52:43.726786Z

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.

source=pdf_text observed=2026-05-23T07:49:37.878395Z digest=sha256:7a18d5698842f7008e7ec9b4882a54d903f53da9c8a624df726bdf464db286f8

Observation 0e202c94-0218-4017-9ad2-ee2238042c1f · inbound

RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping cites this paper.

RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:21.594339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:21.594339Z digest=sha256:572042c9cda345b4b5e10cfea5b5e341d6c00a5497841ec1167238c6508c87c3

Observation 962315d0-9d49-4265-9776-186137fdc72d · inbound

Object-Centric Representations Improve Policy Generalization in Robot Manipulation cites this paper.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:03:28.766264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:28.766264Z digest=sha256:1818fe3b490f41890ca3de6f4a08d95521e9886e0ced38799eac5268623b4920

Observation 6c12eae7-0785-4216-8443-8ed0825365d4 · inbound

StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision cites this paper.

StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T14:00:20.764446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:00:20.764446Z digest=sha256:b48d4841d59679cedd2dd7deb8544adaebca91596c1d135c0009029bd5af3c8e

Observation ff2f3289-310f-4459-affa-58f62e6a5edd · 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 Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:52:08.702223Z

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.

source=pdf_text observed=2026-05-13T02:50:35.117038Z digest=sha256:10ad7e4f5d06b7880c0641fbe6d6658ec219d021519fbf36f83e1218b7efd8a8

Observation ed75fb4b-1bf7-48d0-b56e-16b55c9ff972 · inbound

The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection cites this paper.

The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:18:02.743528Z

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.

source=pdf_text observed=2026-07-03T11:13:25.188005Z digest=sha256:fecab3022b6f64f1d5796691c6989430d0eda4dc57e1d4109967348fb91a60ce

Observation 8a1c939c-5ea7-4d1e-84cd-b98a25f1222f · inbound

ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models cites this paper.

ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T10:14:03.005099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:03.005099Z digest=sha256:b03193401247fb470248f9a71b4fc2ff1559ba7f7d397003906fb3d13b85608a

Observation 02a6844d-fde1-4260-9db5-cca481d1182a · inbound

Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation cites this paper.

Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:32:24.925018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:32:24.925018Z digest=sha256:641bb29719c68cfbcd0d6f7ac5cc367f6ec68fa6e50f2fbbfff2815807978e70