Pith. sign in

Paper Citation Record · LEDGER

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.12077.

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

pith.paper-citation-record.v1
2111.12077 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:44:36.660699Z

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

5
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 d9b1a12e-23f0-4d21-9505-d3ed80ed60b3 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:03:57.987594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:97026e04bb36fac3b655e600548ca790916369948180b203b7838b0c8aeb4366

Observation 787735ec-c8c6-4eb4-9d13-a1e2f7a34d24 · inbound

Exploring Flexible Scenario Generation in Godot Simulator cites this paper.

Exploring Flexible Scenario Generation in Godot Simulator Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T04:44:36.660699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:44:36.660699Z digest=sha256:950d90dac7cb84a6067b39d696380a695224ff5a89e1131d13b4043c6753c2db

Observation 96c0fe27-668c-49d8-a916-2e78e8a5756d · inbound

3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh cites this paper.

3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:41.038403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:41.038403Z digest=sha256:d4d15915bf8df2acdf701a1e03c7d29632fc85837d8826f83ebc29403261da9b

Observation e91ce47f-e974-4858-8001-b3e0ee77a5b9 · inbound

Gbake: Baking 3D Gaussian Splats into Reflection Probes cites this paper.

Gbake: Baking 3D Gaussian Splats into Reflection Probes Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:37:18.443998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:37:18.443998Z digest=sha256:f97a42596d6e59c83213a9d0cf5ff2e007b458e840465713edec168ea6c21f67

Observation 04e5b61a-5813-48da-9c57-91a6ed94addc · inbound

Reconstructing 4D Spatial Intelligence: A Survey cites this paper.

Reconstructing 4D Spatial Intelligence: A Survey Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 256

Resolution
unresolved
no resolver link, observed 2026-08-06T13:02:29.808852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:29.808852Z digest=sha256:23145113ae2a66693346a89b18c51a5455b5fc1b017ba75c8a245f5d359a50e1

Observation affa7f03-f1eb-406c-9a72-9fe6f3205d96 · inbound

Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing cites this paper.

Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T19:14:04.563639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:14:04.563639Z digest=sha256:5c237afaed9edc6d9a9023aaab54cd2acf39b8b8f28ff2c86d48b03393ea8bfd

Observation 4410cbf5-e9af-481b-a743-793976c40a6c · inbound

Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting cites this paper.

Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:05.170052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:24:35.763756Z digest=sha256:b9624ee18f68b2f01e5e6ac2ca3c5b629f15a11553ca32dd03e2a478615751d7

Observation 8fe0e541-4eaa-4fa6-a118-ac81e149bd0c · inbound

WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos cites this paper.

WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:26:17.840193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T15:22:55.691780Z digest=sha256:b8238343ddc5f8bd712f2faca3fb7397bd7871309ae947124f2aa72fb9795139

Observation 29cfcdcb-9b36-4fa3-9be4-144e872fff0d · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:51.320912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:51.320912Z digest=sha256:f030255270dae8a7d195a793b5bd739a493b4c5aab8e915447e3382cfcef8604