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Paper Citation Record · LEDGER

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.04419.

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

pith.paper-citation-record.v1
2302.04419 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.452350Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:11:50.548387Z

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 45466b54-eaf7-4a98-8d1b-44323e663ace · inbound

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models cites this paper.

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:05.452350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.452350Z digest=sha256:1f08abbb87fc1a0c77cee4e10abf7649a61593673ab2fde599cad33b9cdbe24f

Observation e88a9aa9-d7f7-41c4-abaa-1d625c3a62b3 · inbound

Is an object-centric representation beneficial for robotic manipulation ? cites this paper.

Is an object-centric representation beneficial for robotic manipulation ? An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:11:50.662146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:50.118816Z digest=sha256:6bb9d08ebb9a81208e4442347c4aac8b89ff85bac47611a280acf2a00744e374

Observation 94c02455-077c-4bb6-ac18-f362906603b5 · inbound

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation cites this paper.

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T07:04:44.972854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:04:44.972854Z digest=sha256:03731b0234733442853a74b36f18e63721b90124b868d931d368dd1ce564d531

Observation f247dbd1-41db-48c1-85a9-e86283eb178e · inbound

ES-Merging: Biological MLLM Merging via Embedding Space Signals cites this paper.

ES-Merging: Biological MLLM Merging via Embedding Space Signals An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T21:18:21.658797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:18:21.658797Z digest=sha256:a59750ec4f042c14dcd27851aa35d8489e0dc8d6b2ec6c27bbab08edcd784639