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Paper Citation Record · LEDGER

Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.05942.

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

pith.paper-citation-record.v1
1808.05942 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:01.014887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:45:11.642373Z

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 24ad2d20-57d4-44b6-bac7-556cca70eba1 · inbound

Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks cites this paper.

Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:01.014887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:01.014887Z digest=sha256:2ad98d3fa63bf4f1e0166d2a9e3ce86042f70c7db2d5599b56a1991a00eb300b

Observation acfd6dbf-b24e-4ddd-bee2-74aa4414f636 · inbound

HumanMeshNet: Polygonal Mesh Recovery of Humans cites this paper.

HumanMeshNet: Polygonal Mesh Recovery of Humans Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:45:11.648558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:45:11.409986Z digest=sha256:8172f15681e14f8e66e61424806d4b5b0173e20d27c34a782432ddbfc93e52a8