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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:51.320912Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:92b93e46933f7c1738116d05d6a24b4cd3005736280cae09b0705e4c565a6107

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:a33403b7b4fa39f330114a1d65063a537046fdc195b8080ab5f0a768afa8b1e1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:24:35.763756Z digest=sha256:0dcc0ecd4c7da6c67e22128cb0af5e6156a053cc0addfeeaf77fa6cb6c5d760a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T15:22:55.691780Z digest=sha256:27e034e76d8e7807dff63669d972ff1c228eea0e84557c01fdb524f72581bb82

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=sha256:3e2e3deb5205f2436ccfe6f9ff557668db16ef5cd49552f339cdfdcff1fbc2a2