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Paper Citation Record · LEDGER

Convolutional Occupancy Networks

As of 17 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.04618.

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

pith.paper-citation-record.v1
2003.04618 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 2026-07-17T06:31:00.352745+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:01:44.347859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.025176Z

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 4fb03413-41ce-44d8-b6b2-110caf901a4a · inbound

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction cites this paper.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Convolutional Occupancy Networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.305696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:b1a568f4a74c2c3108cc01d8e7d7fe6873621fb2d6b1996f52fc727a6deb9677

Observation 6f0c14fb-5e89-4ec3-a937-deb29da8a386 · inbound

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision cites this paper.

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision Convolutional Occupancy Networks

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:51.027176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

source=pdf_text observed=2026-06-26T05:01:44.347859Z digest=sha256:d8ffe2ba5a60182630eea66ba21ae6cdfa7aff9faa1f35fdf279cf06066f56c6