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Paper Citation Record · LEDGER

C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.11351.

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

pith.paper-citation-record.v1
2309.11351 v1

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:03:13.186182Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.886720Z

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 876cd76d-83ef-4d2f-84fb-bac66f630d97 · inbound

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots cites this paper.

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:33:32.699140Z

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=2026-05-23T22:30:36.548901Z digest=sha256:ad328c32e896eb45322811c33ee8c0ef4f6143a20fb8748ec91b547d22ae62a3

Observation 3e68d64e-fe9e-433a-b247-0e659700253c · inbound

Distinguishing Imitation Error from Intrinsic Motion Learning Difficulty cites this paper.

Distinguishing Imitation Error from Intrinsic Motion Learning Difficulty C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T18:03:13.186182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:03:13.186182Z digest=sha256:a0ff192f58fd277a2c40709a96404fff5f0708367ff279dea92f2be231260411

Observation 79a8c870-b871-421f-b366-9cedd474efb9 · inbound

Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics cites this paper.

Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:39:46.888041Z

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=2026-06-26T09:40:37.183422Z digest=sha256:07a1e83f3f434c427436395cbadc6451a3cd89a37554b653d56e51cdd0b5a923

Observation 9e5f192b-9110-4d13-8ffd-dc38d73656ce · inbound

GPC: Large-Scale Generative Pretraining for Transferable Motor Control cites this paper.

GPC: Large-Scale Generative Pretraining for Transferable Motor Control C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

Reference 239

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:14:25.881236Z

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=arxiv_source observed=2026-06-30T08:04:26.007026Z digest=sha256:c1bbd1ea9945fa1f5bfab262fbe05162686743ad862aca794f9ca9cdd535b02e