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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=sha256:1e403020b3b030c9aaaa1319bd02aee433a090acf2218558dadb94045fe416a3

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=sha256:76d64d683f23ec5476b0925de1efe41df42da860bd9e6e4502fb39ca7f1b7f10

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:e06b4ffe80d21a6f08ba1f17c18d0bd71ae9677ecae0b96a7d82a1fa0d66d35f

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=sha256:3fe09bcb0903108822e38f5ab7f9de5f7516ffa8a4d51344ece6cfe6b8a366cb

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:b377eb88667b2a600f3e7a841bfb21272a0ea05d94f113354c7e9abce77ec397

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=sha256:8c603d26d09a9d49064a26c77d5ac51ec6399a6f68e9e1a73d74ccb00a94d8ca