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Paper Citation Record · LEDGER

RRL: Resnet as representation for Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2107.03380.

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

pith.paper-citation-record.v1
2107.03380 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:50.507923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:44:02.634920Z

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 86b4103a-1178-4958-81e7-a8a1c5f103a4 · inbound

R3M: A Universal Visual Representation for Robot Manipulation cites this paper.

R3M: A Universal Visual Representation for Robot Manipulation RRL: Resnet as representation for Reinforcement Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:26:53.956162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:26:53.843613Z digest=sha256:545c3d43a553d60e4e78e3884c0861139ba15c2f6bba2af211280ae3e84d5d1e

Observation 01d91756-b9f0-403c-8b11-b9412abbadee · inbound

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training cites this paper.

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training RRL: Resnet as representation for Reinforcement Learning

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:42:52.811023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:42:52.627166Z digest=sha256:f12a90c6a51f0730d090f3ffb35ae7e9878eca2f1a413e30903e4b12cdff3b1d

Observation 1c90f63a-dfb5-4282-9891-8c9bcd4574b4 · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own RRL: Resnet as representation for Reinforcement Learning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.637978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T06:40:00.328012Z digest=sha256:54e79032eb5a3d2204c0bdd28e55a6e13e95d4bb7e67aa6cd85977973df45419

Observation 781c4177-2bf8-4c71-9548-8112df7bae7d · inbound

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation cites this paper.

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation RRL: Resnet as representation for Reinforcement Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:50.507923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:50.507923Z digest=sha256:74d5a44c06497a631125f2c4f2f43bd0a805c2f91fd239361bf60ca6443d7937

Observation cf8d3867-1c0e-4240-9737-d6ee8115d10d · inbound

4D Visual Pre-training for Robot Learning cites this paper.

4D Visual Pre-training for Robot Learning RRL: Resnet as representation for Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T17:03:21.357019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:03:21.357019Z digest=sha256:c512861079d7c761cf0bf0f21ef2d19380600b20be430ed332c66a04ad53f56b

Observation dca32268-79bc-46cc-8be0-8ab31de29413 · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos RRL: Resnet as representation for Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T18:51:36.079940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:51:36.079940Z digest=sha256:50dcc30717e8c191358c35aef054b8d8ae0f03eef68140f20f1c454fb98afedd