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Paper Citation Record · LEDGER

Convolutional Occupancy Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:04:18.671505Z

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:002372b24210140472f14491509656d0b129d5815fe1b61c8b5c5e79090abf15

Observation aa36b737-642e-4d9a-9e92-85d54bf14811 · inbound

INRet: A General Framework for Accurate Retrieval of INRs for Shapes cites this paper.

INRet: A General Framework for Accurate Retrieval of INRs for Shapes Convolutional Occupancy Networks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T14:04:18.671505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:04:18.671505Z digest=sha256:bb75d785fcc0eb237fe7d869315cdcf599a5f73871de834153038bcb28fbc3fe

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T05:01:44.347859Z digest=sha256:90f5b0e6914655d3a7db221b70129224deb1d23f32f30f944c415ca8ea915f70

Observation a0da2493-c3bd-4216-a784-4679ac199ed0 · 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
unresolved
no resolver link, observed 2026-08-02T10:07:05.283599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:07:05.283599Z digest=sha256:95ad88515bd48ddeeff0874a9446d94f03a3b3aa72f2e3e84ea17c16aef1931d