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Paper Citation Record · LEDGER

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers

As of 19 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 2 inbound Pith citation observations for arXiv:2505.04002.

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

pith.paper-citation-record.v1
2505.04002 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:23.500587Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:18:54.203162Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:23:36.029302Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 045039a2-728f-4b89-8679-bfa7ec44874d · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-15T23:44:23.500587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:23.500587Z digest=sha256:0e1164b32a31e8fe15d8561656868e1553f95348edc40012dc439b3292b7c714

Observation 467c5692-a507-40a3-9215-4c559550dd9c · outbound

This paper cites Benchmarking Deep Reinforcement Learning for Continuous Control.

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers Benchmarking Deep Reinforcement Learning for Continuous Control

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-15T23:44:23.488935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:23.488935Z digest=sha256:787eee2b24ce48b462294f0997c94d2feecdb8fb9def34ad0b82679bb484a5fe

Observation afaccf6b-e2b7-412e-b718-88137a82796a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers Adam: A Method for Stochastic Optimization

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T23:44:23.493770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:23.493770Z digest=sha256:6ccb305da2c552299f718c862152ee80f2c399432b009adc699faf74e9f7d547

Observation 65e90f4c-2654-4f3c-a2a2-085479bccc69 · outbound

This paper cites Flexible Motion In-betweening with Diffusion Models.

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers Flexible Motion In-betweening with Diffusion Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T23:44:23.483472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:23.483472Z digest=sha256:8050ad061fa892844be4b1e1f4722aa8bd05ba6a1a175534d8745ff38d81a67d

Pith citing papers

Observation 523bbea8-b11d-4035-b11c-210afe24f13f · inbound

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why cites this paper.

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:54.203162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:54.203162Z digest=sha256:2e74e3a7fedb86477268ad554142a5f5c1d9bf6100c9ed68675f4e1af43b8973

Observation 72cfc565-9288-43d0-812e-6f1da6870c24 · inbound

Tired Actor: Fatigue-Informed Character Control cites this paper.

Tired Actor: Fatigue-Informed Character Control PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:23:36.163407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:23:34.356313Z digest=sha256:5540efa78416c0b50b83ff39bf0633c68075edc6324527a267bc773c2fb9a6de