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Paper Citation Record · LEDGER

Generalizable Neural Voxels for Fast Human Radiance Fields

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.15387.

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

pith.paper-citation-record.v1
2303.15387 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:51.068119Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:52:33.831641Z

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 aa05c292-e0dc-4aea-9ca9-d75300a325ba · inbound

EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation cites this paper.

EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation Generalizable Neural Voxels for Fast Human Radiance Fields

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:51.068119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:51.068119Z digest=sha256:11fd62cb8684fc93b71cc7880951d13940656ae36d4bb4ca51c3a9bf45bd19c0

Observation 8bc48831-f972-42c1-a2a5-73e4ac5272b3 · inbound

Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds cites this paper.

Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Generalizable Neural Voxels for Fast Human Radiance Fields

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T18:17:22.342409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:17:22.342409Z digest=sha256:d0d34e1d4adb26f38ab237f08b5572529255acdab07f91dc7b50238654bfacb7

Observation e9b03273-2372-43ee-a183-39125e5cc67d · inbound

Style4D-Bench: A Benchmark Suite for 4D Stylization cites this paper.

Style4D-Bench: A Benchmark Suite for 4D Stylization Generalizable Neural Voxels for Fast Human Radiance Fields

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:52:33.840079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:52:33.703541Z digest=sha256:c8b3049b79d2494d750b8ce0a7145727838b7546f2a6c28530e07d1335ae7680