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Paper Citation Record · LEDGER

panda-gym: Open-source goal-conditioned environments for robotic learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.13687.

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

pith.paper-citation-record.v1
2106.13687 v2

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:03:33.933966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.891524Z

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 eb0491ae-09a9-4766-9620-e15a28914a51 · inbound

Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications cites this paper.

Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications panda-gym: Open-source goal-conditioned environments for robotic learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T00:03:33.933966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:03:33.933966Z digest=sha256:7ff9a8670b72325e67f52bc50d74244ed48ad1c9d9b02a952efa81935b427d2a

Observation 724d31af-04ba-4815-9315-aeb279a4136c · inbound

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning cites this paper.

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning panda-gym: Open-source goal-conditioned environments for robotic learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:32.379013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:32.379013Z digest=sha256:46fd036c58a2e1fcbc19212c7dd2a098e86b9488350e84931d3325ea7fea777e

Observation 542e7953-4f5f-43d3-b567-4774c9be30e0 · inbound

LLM Trainer: Automated Robotic Data Generation via Demonstration Augmentation using LLMs cites this paper.

LLM Trainer: Automated Robotic Data Generation via Demonstration Augmentation using LLMs panda-gym: Open-source goal-conditioned environments for robotic learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T15:17:38.164088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:38.164088Z digest=sha256:d43a291874c91d9bf3bd9e9145699a958bb4320a982c07c1fcc217689e9e5a4a

Observation 6f34c5b2-539f-49a0-9548-d7b7eec36295 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application panda-gym: Open-source goal-conditioned environments for robotic learning

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.893404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:0e1f7410243feabc37beae9547e2591bb8c1616e4b742054d09364ec92b03a4f