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Paper Citation Record · LEDGER

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.09371.

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

pith.paper-citation-record.v1
2406.09371 v2

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:11:46.552864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:48:12.497770Z

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 d792414b-1993-4cb3-a1bd-d634046a93bd · inbound

KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos cites this paper.

KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:48:12.500772Z

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=2026-05-23T16:47:09.717923Z digest=sha256:bad7881e2f370d7a1a4238d0458f9c42a7e673627757e3402df5d66fd2ec803f

Observation 0e11f397-6d31-4d09-9387-848eaa589f6a · inbound

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models cites this paper.

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T18:11:46.552864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:11:46.552864Z digest=sha256:a4ee1225fcf61a44906d63fb1f2cf6e450be1db832475eeac8d96ce3f70236a3

Observation bb25a8d7-a0fe-46d8-a2a0-0278d184416f · inbound

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data cites this paper.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:23.399598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:28:23.399598Z digest=sha256:20e9d60a2efda12ffa089bafd9ba6c81cf04db60571e48e7beea46328e7fba1e

Observation e35c8ea1-090d-4d83-8e94-a0e404455234 · inbound

HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers cites this paper.

HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:20.916658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:20.916658Z digest=sha256:cb2627de5264bfde8d030f6c085063a662250ad414fc72136dbd346c7cebf047

Observation ecda378e-9e80-452d-af78-6e2fc70d2a08 · inbound

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos cites this paper.

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:16.003964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:16.003964Z digest=sha256:0c40001483b07faeae0f1c6ed510c36c17883d0b5f20922edf69622398a52db4