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Paper Citation Record · LEDGER

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:36:55.947706Z

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 05b870ac-98aa-4138-b356-5eacda6b4cea · inbound

One Model to Rig Them All: Diverse Skeleton Rigging with UniRig cites this paper.

One Model to Rig Them All: Diverse Skeleton Rigging with UniRig Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T12:36:55.947706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:36:55.947706Z digest=sha256:5c43ce096d29405dc60bc7d353a97558e6933e0146c7ba3abaa0fcf8fcc0e2a7

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=sha256:499317eecd589851f8709a577a5593debf25f9594ccf5c13f493c20ab0a318c2

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=sha256:6387f4129d863587a06f02dad8185ad2d145e36db20e4d17b81d6a917c4c6c55

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:ef8b84ea78849d0fa5fd00ab42b28732e4fdacd387324d337c95b25924d37cfb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:44:27.833273Z digest=sha256:10f090822460fe63c8f1923565e44d01bed9d594eaa4cdba454898956e93df4f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T11:48:55.446684Z digest=sha256:327f7d084a57c0020a26e30b3113714e4a48341c049d8e8732c95ffedf128208