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Paper Citation Record · LEDGER

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.13260.

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

pith.paper-citation-record.v1
2111.13260 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 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:12.076717Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T03:01:28.526787Z

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 efb0f860-dc02-4715-863a-48ce6825e835 · inbound

PickScan: Object discovery and reconstruction from handheld interactions cites this paper.

PickScan: Object discovery and reconstruction from handheld interactions NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:52:43.309997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:52:43.309997Z digest=sha256:127b89dc84a7bbc934b3463829e0a110a1f8536712089405b61523c6cab980e5

Observation 06a28dc0-7862-45bb-b768-0b3dbce735d4 · inbound

Planar Gaussian Splatting cites this paper.

Planar Gaussian Splatting NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T00:09:09.342066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:09:09.342066Z digest=sha256:b61d15d8b47c6b7d68078a73d49dc328986a16fb29066084ef09b3a02f16cf5a

Observation a022c495-6d1f-43e7-8a30-22a8d6620a32 · inbound

GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes cites this paper.

GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T23:44:12.076717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:12.076717Z digest=sha256:42ad3ef1f24e091da284a9c23904c31d668cbea8c4beb893f4aee390cb3abf06

Observation c6e47013-1e8f-497e-b376-3f4e4324ca60 · inbound

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos cites this paper.

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T10:24:25.171231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:25.171231Z digest=sha256:a1610df8acc16d0fe4fb6e8a853d026d1cf821ae05d56586127bb0dcc96b2a70

Observation b966e73c-0ea8-4a00-9d72-34963efa7f92 · inbound

NeurNCD: Novel Class Discovery via Implicit Neural Representation cites this paper.

NeurNCD: Novel Class Discovery via Implicit Neural Representation NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:55.161336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:55.161336Z digest=sha256:eb1ea1ad9911b0e0bea9debb63fab2f437325fa61cd287f3c96bceac8515d318

Observation 541a4523-b7c2-48db-b4d0-38908720c85b · inbound

A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding cites this paper.

A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:27.694249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:27.694249Z digest=sha256:3cea60524af5487b98c47951b0c850cd7cbcfccb31175deeff664d57f8862a8a

Observation e3a26131-8457-43f7-92ed-5852464ebb1a · inbound

OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation cites this paper.

OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:01:28.529531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T03:00:52.608833Z digest=sha256:a82ac255b0d82edc31e916860e41d9c9e22843a6e7e2a0cd76e405dfe1dffa0b

Observation f6f4c6e1-10d5-43e5-a235-ddd9b18e4ff1 · inbound

3AM: 3egment Anything with Geometric Consistency in Videos cites this paper.

3AM: 3egment Anything with Geometric Consistency in Videos NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T14:21:01.636488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T14:19:34.641108Z digest=sha256:c6f2f8ec0b276a81ea955abb8811a080a10adb29a57ab711a15d4a2b97866c91

Observation 51d91c42-ac93-40a1-b337-23dbd61f5ac5 · inbound

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction cites this paper.

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.768614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T17:58:24.243165Z digest=sha256:a0c616db256454d0d126062a1b89015b72e2797b6a58f5a0cf83be71e82ee254