Pith. sign in

Paper Citation Record · LEDGER

Distilling Multi-view Diffusion Models into 3D Generators

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.00457.

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

pith.paper-citation-record.v1
2504.00457 v3

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:53.786993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:06:48.086953Z

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 21001367-0ddc-40ed-88ef-a933fe54bea1 · inbound

Advancing high-fidelity 3D and Texture Generation with 2.5D latents cites this paper.

Advancing high-fidelity 3D and Texture Generation with 2.5D latents Distilling Multi-view Diffusion Models into 3D Generators

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:53.786993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:53.786993Z digest=sha256:e5b691278e74f98e588cfe4e7fa9cdc89a2ddf40316aa19fa1cbaf6743a449bc

Observation 41fddc01-f08f-4aab-b888-271cd591dcdb · inbound

Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text cites this paper.

Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text Distilling Multi-view Diffusion Models into 3D Generators

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:06:48.088400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T06:23:10.776191Z digest=sha256:030b4509cd6f31ea48cf9f37c0c1ba1c1172eef954501dd81f7394d31d1497a9