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Paper Citation Record · LEDGER

Mixture of Volumetric Primitives for Efficient Neural Rendering

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.01954.

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

pith.paper-citation-record.v1
2103.01954 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:46:08.821032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.582535Z

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 d2e2eb31-c7af-4d7e-b387-0e4b6eaf877f · inbound

HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting cites this paper.

HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting Mixture of Volumetric Primitives for Efficient Neural Rendering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T21:46:08.821032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:46:08.821032Z digest=sha256:c4f9f4f52af886b8991a46a19de8fae5da2c96348e1ec13047b33549dd85c441

Observation 4bb90211-a359-4c11-abad-5c705edd99b6 · inbound

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars cites this paper.

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars Mixture of Volumetric Primitives for Efficient Neural Rendering

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.584023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:4ca6d839d436b0450d4e0f32701366b263b73df1a7f28bd3f777ef6cac949d3a