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Paper Citation Record · LEDGER

Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.00950.

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

pith.paper-citation-record.v1
2504.00950 v2

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:18.726681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:11:01.389999Z

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 03f13273-9970-4275-8d47-e3dc2cc9c11e · inbound

Automated Parking Trajectory Generation Using Deep Reinforcement Learning cites this paper.

Automated Parking Trajectory Generation Using Deep Reinforcement Learning Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:22:18.726681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:22:18.726681Z digest=sha256:aa462e0746c9dd0f3d1d1b2eb9e5809911c9323d999931430525e69c8a40c1f7

Observation 314a6986-91c9-4746-b62f-dad0324f744d · inbound

A Machine Learning-Based Study on the Synergistic Optimization of Supply Chain Management and Financial Supply Chains from an Economic Perspective cites this paper.

A Machine Learning-Based Study on the Synergistic Optimization of Supply Chain Management and Financial Supply Chains from an Economic Perspective Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T10:52:14.804450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:52:14.804450Z digest=sha256:1f3127fcb98aed4661ba34aeee3591cc43d73cf14927595f132a4b271482d543

Observation 5807da62-4f14-434d-82fb-3b2e93bbcf28 · inbound

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis cites this paper.

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:11:01.394385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:16:31.378588Z digest=sha256:a31658131b0651274fd08e68c39ed4f42dba2e9e96eb67657ceb2efde801d589