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Paper Citation Record · LEDGER

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.05029.

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

pith.paper-citation-record.v1
1811.05029 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:26:25.067630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:46:14.635362Z

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 3876518f-07b5-4e08-bd53-9be382d11960 · inbound

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning cites this paper.

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T12:26:25.067630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:26:25.067630Z digest=sha256:102be425d268af8ceb6e5051b86b6d8b71c614575131b62249679e2d4b323abd

Observation 6d229e08-9247-4001-868a-9f0f396e72f3 · inbound

HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis cites this paper.

HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:11:41.287713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T01:39:01.852776Z digest=sha256:b1abdceb93f1eca9ba51b073d3a8440efa8325012c4bf23809fac092d53fa333