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Paper Citation Record · LEDGER

Factor Fields: A Unified Framework for Neural Fields and Beyond

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01226.

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

pith.paper-citation-record.v1
2302.01226 v3

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:52:03.540552Z

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

16
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 345f9657-b46d-429f-b6dd-6e4f9ccf3b93 · inbound

Can we make NeRF-based visual localization privacy-preserving? cites this paper.

Can we make NeRF-based visual localization privacy-preserving? Factor Fields: A Unified Framework for Neural Fields and Beyond

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T16:08:07.612440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:08:07.612440Z digest=sha256:ddf10ddaddc3d55ccd2426fd5c5bc0ecca6a6598f311c4f67d24f7b20dd6e501

Observation 93865081-a30f-4a4f-b8be-50eced4bf84b · inbound

MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching cites this paper.

MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching Factor Fields: A Unified Framework for Neural Fields and Beyond

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:25.497158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T11:50:10.288141Z digest=sha256:c2597631ed090dd068131af2a29e509466f48a2ae354df23ec588d67abe6f274

Observation ce5023f0-5198-4831-8908-c11d7276d9ad · inbound

MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching cites this paper.

MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching Factor Fields: A Unified Framework for Neural Fields and Beyond

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:32.420358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T03:21:09.603306Z digest=sha256:f7de0f5fae87254d13d038c848d3f419bdb8c656046fa1bc28b9e009212b9d18

Observation 1cb6ad1e-fa02-459c-a468-13d913f43d82 · inbound

Diffusion-Based Material Regularization for Physics-Based Inverse Rendering cites this paper.

Diffusion-Based Material Regularization for Physics-Based Inverse Rendering Factor Fields: A Unified Framework for Neural Fields and Beyond

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:55:28.381977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T06:46:50.184220Z digest=sha256:e4fc145f2caede628b4e6350a097374b9477b406a84f8a0920b4581f50cb5947

Observation 9ca6d69d-0134-4731-bec2-0014ad8b9d40 · inbound

Residual Algebra for Representation-Preserving Learning cites this paper.

Residual Algebra for Representation-Preserving Learning Factor Fields: A Unified Framework for Neural Fields and Beyond

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T05:52:03.540552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:52:03.540552Z digest=sha256:8f7ef6ea1ba71c2f73596b5f0a0570cc419a3d7595cde3d064bb186753ecba7e