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Paper Citation Record · LEDGER

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12225.

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

pith.paper-citation-record.v1
2402.12225 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:30.162993Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cd1a1a36-8ee8-494d-bb71-b5dad2fa3683 · inbound

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors cites this paper.

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:30.162993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:59:30.162993Z digest=sha256:22770b7acec3f36f1990ab7d32e541f3eb9eaf260e58b5361384dcad59a185ca

Observation a0b9c2a2-b8fc-4ec0-951c-1a6b221a9069 · inbound

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models cites this paper.

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:50:14.872809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T14:48:21.787919Z digest=sha256:c4e270e0f49bc69cd6f83f1470ff29cefdbdfe66e614ed350760e0c9e3b123a9