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Paper Citation Record · LEDGER

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:14:03.005099Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T22:02:55.240949Z digest=sha256:0df84faec1b9b13bd3352e1278c15d9c8b1ecfa1f0a2e5143bdc36b44646f276

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T11:06:19.481801Z digest=sha256:941e465aa66f9da7c850ea750202b16bf010ed1607b732030ed8dff159f294a3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:46:35.942338Z digest=sha256:2cfa6c91d17d6584ac5ca0d0340a54a55a025cdd502fdf0300888faa27b38032

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T07:49:37.878395Z digest=sha256:d6559060a8d3edcdf804949652488e7b825a264a60242f6e0a985d49a5a88106

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=sha256:613772f6ee46e4509cd132c865cd0f4e2f11eee811e943efaaad1cb5038b5604

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T02:50:35.117038Z digest=sha256:5ecc65f226edd1b60da3494bc82179a99aaa7f3951dae4f7f4965b278f64bc96

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T11:13:25.188005Z digest=sha256:a783ee1199a8e330872cafdd2be718a13c9cb6de01ddbdfca6ba586e6d19dc0d

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=sha256:82739bdd11b6d359786bc8618dc4f688a58149c2066112648286638f42680083