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Paper Citation Record · LEDGER

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.06231.

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

pith.paper-citation-record.v1
2410.06231 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:26:00.767982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.571672Z

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 da6a47f6-ae11-4027-8e92-48ae31fa888f · inbound

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training cites this paper.

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-03T18:26:00.767982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:26:00.767982Z digest=sha256:e68543a854422c26a6e0f9f57097f618e88f0f5e440ff0b992e11816e5e64a22

Observation dcf91f4f-2aa4-4607-9ba6-67ea4889966a · inbound

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures cites this paper.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T17:22:26.019167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:22:26.019167Z digest=sha256:6b15f1820b4af9f5709fe56ed44dfc069877300a8eaf0f1a9b4eba15d65df1fa

Observation b1f08e83-b1e6-41ef-b986-a0b0f2d48854 · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:50:49.557203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:32:20.565326Z digest=sha256:119db79cfdf58d36563250d9386277e9d33cef927bdf664c225ba31b97ea8046

Observation dfc58d41-e5cb-4102-a2be-bd9509680ce3 · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-07-13T09:33:39.204257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:33:39.204257Z digest=sha256:60cc08aae209515226a4efa643468c6fffe2b0ecdc1bc05a2e688966a40e47b7

Observation 1782f3c0-0efc-4194-a800-79d4d8231109 · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-02T16:46:06.653193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:46:06.653193Z digest=sha256:85a2e2af5744c6ab9897e95731cf26694e16d648cd8ed1d65752f68d03aaf0c0

Observation 0e02f2f1-8b5c-4fee-af28-ff2f502bac14 · inbound

D-Rex : Diffusion Rendering for Relightable Expressive Avatars cites this paper.

D-Rex : Diffusion Rendering for Relightable Expressive Avatars RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:28.926892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T07:50:12.980505Z digest=sha256:454389fbb0804cae1099278a7379ff538cba49bd839946f1371615f3a9195f6b

Observation b04a0e05-3418-4bf5-9d9c-b8a6bc7d9428 · inbound

Lighting-Consistent Object Transfer Across Radiance Fields cites this paper.

Lighting-Consistent Object Transfer Across Radiance Fields RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 267

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:39:46.113119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T09:46:46.216810Z digest=sha256:7c53bb012ad09d4864bc94ef785cfbdbaf17896ce8651bb6094da0a744ec5203

Observation 0ab47435-1efd-44d8-8a67-6ddee412b5be · inbound

Extracting Neural Materials from Multi-view Images cites this paper.

Extracting Neural Materials from Multi-view Images RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T12:59:52.573095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T05:38:40.216405Z digest=sha256:97d40fdac25f503c4a3cd239be7a61aefc10f1d5b2326a3b26fc1a62afa91560

Observation 4f63c1a6-ce23-4b04-9bba-fb20a838d2e3 · inbound

Extracting Neural Materials from Multi-view Images cites this paper.

Extracting Neural Materials from Multi-view Images RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:13:49.629651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T05:09:09.761157Z digest=sha256:8673556cf4c01fc7e2d4079e2217483db40410823bcfc0b272ae7749ecee67ed

Observation b838dc8c-ec88-430f-b790-5abce2a2f6b9 · inbound

HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers cites this paper.

HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:32.123501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T09:24:04.427234Z digest=sha256:8426d27b710ce3bc2855b3b31584c095af1490f3212d06485cb3b4743d4a3792