Paper Citation Record · LEDGER

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling

As of 21 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2602.11467.

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

pith.paper-citation-record.v1
2602.11467 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:14:44.038464Z

measured 9 of 9 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29f49951-a1b1-4eef-9223-5985b2bc8f06 · outbound

This paper cites (67) A.2.3.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling (67) A.2.3

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.776261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf95dbea-c592-422e-a167-e81fa8fe7ef9 · outbound

This paper cites doi: 10.1007/s10994-021-05946-3.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling doi: 10.1007/s10994-021-05946-3

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.021458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8d95e23-0366-4989-ab11-76c0750eea5e · outbound

This paper cites The closed-form Fisher Information for multivariate normal distributions is a classical result (Skovgaard, 1984; Nielsen, 2023).

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling The closed-form Fisher Information for multivariate normal distributions is a classical result (Skovgaard, 1984; Nielsen, 2023)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.625256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a199e47-d29b-4275-86d7-d05e9d7fe81a · outbound

This paper cites The segmentation model was trained on 68 manually annotated CT-segmentation pairs.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling The segmentation model was trained on 68 manually annotated CT-segmentation pairs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.937541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcef8f5-a76e-4ee4-bfda-b58836e95718 · outbound

This paper cites As shown in Fig.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling As shown in Fig

Reference 1975

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:44.038464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ecf0853-cf73-4c2b-a975-a2fd1e25be79 · outbound

This paper cites 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.466714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2edc2fb2-dea3-4296-a219-a2358ed41184 · outbound

This paper cites doi: 10.1016/j.inffus.2021.05.008.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling doi: 10.1016/j.inffus.2021.05.008

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:42.746201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de368796-93c0-440b-8b96-1e65788fafff · outbound

This paper cites NAISR: A 3D Neural Additive Model for Interpretable Shape Representation.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:43.392451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913db382-1013-479e-a178-9e5cbafa2aab · outbound

This paper cites Human Mesh Modeling for Anny Body.

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling Human Mesh Modeling for Anny Body

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T00:14:42.855598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.