Pith. sign in

Paper Citation Record · LEDGER

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.02904.

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

pith.paper-citation-record.v1
2205.02904 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:01.149644Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:53:15.126433Z

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 f7ae8028-f977-4ef6-8c2a-7b9ff75f34b8 · inbound

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation cites this paper.

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:01.149644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:01.149644Z digest=sha256:909addc60328437857c848ee25b5fdae7b128b90c32474444214a55d2d2bb314

Observation 17def0f3-6ff9-4882-99ba-77151e78e9b8 · inbound

TextMesh4D: Zero-shot Text-to-4D Mesh Generation cites this paper.

TextMesh4D: Zero-shot Text-to-4D Mesh Generation Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:28:42.676195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:28:42.676195Z digest=sha256:944e14668ba172526faed076a99edafadf90bfda62e2f07fc997a1e8c151b47a

Observation 0e5706f8-6e1d-4d5b-a5f8-8feaa3f6152c · inbound

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment cites this paper.

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T16:08:11.755053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:08:11.755053Z digest=sha256:3e83c3506368b834b2462dae542487450512ad9d47d8a263cc61a731075633ba

Observation 177600e1-1d33-4bef-8182-e0bdaf10aaca · inbound

MeshOn: Intersection-Free Mesh-to-Mesh Composition cites this paper.

MeshOn: Intersection-Free Mesh-to-Mesh Composition Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:16:01.398923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:44:27.833273Z digest=sha256:d01c6f2bbb6fcc9d45f71a3c75d42fa5b0286b4e86749f55c08290785f31aa49

Observation 4bbf63d9-3082-4c32-a5fe-38b748f292b0 · inbound

SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals cites this paper.

SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:53:15.128688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T11:48:55.446684Z digest=sha256:08bb01a85984b4fecc3c82e234acef842844809b2bd25e6369e11113d3d8fc6e