Pith. sign in

Paper Citation Record · LEDGER

Spectrally Pruned Gaussian Fields with Neural Compensation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.00676.

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

pith.paper-citation-record.v1
2405.00676 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:22.545301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:09:22.962069Z

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 df4066af-d63d-4ddc-8294-c32fe7f21e32 · inbound

Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity cites this paper.

Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-11T10:29:59.097431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:29:59.097431Z digest=sha256:a2a2e0ad2edc677977bc7677c620fcdb9d741613bcaf297e7bd83f3a81074b8a

Observation a0f22d12-23a6-4fc8-9beb-2c981c3e1ba7 · inbound

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation cites this paper.

CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:16:33.486595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:33.486595Z digest=sha256:d024f2374f4721557d5ad24256e14d1e38401772db36dcb5b1f16b587872e50e

Observation 9912de13-94f1-49d0-b364-7924d78c7435 · inbound

HAC++: Towards 100X Compression of 3D Gaussian Splatting cites this paper.

HAC++: Towards 100X Compression of 3D Gaussian Splatting Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:04.480021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:26:04.480021Z digest=sha256:05eac118ee05880e0639794c60727370b7aad5d3dba521bba62b05f4fd09c69b

Observation 80ae5fed-81cc-4924-8cfc-9376f4c1c9a4 · inbound

Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos cites this paper.

Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:20:22.545301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:20:22.545301Z digest=sha256:643f44f9d4e265acb22466d9ec655ff4fd6deeb68eb6b0ef9b8e0bf6791a4f46

Observation 3acae069-a9e5-4ad9-8660-402d0202892d · inbound

Data Diversification Methods In Alignment Enhance Math Performance In LLMs cites this paper.

Data Diversification Methods In Alignment Enhance Math Performance In LLMs Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:27.365315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:43:27.365315Z digest=sha256:1ab85a7bb8bfdc995c46346c66b7de39623d440f8d7a07143bcd1e656f8bb797

Observation 58b1c617-1dc6-4c0d-ba0e-6e507fadebf4 · inbound

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting cites this paper.

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:33:46.170230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:46.170230Z digest=sha256:6c2f79d3248cf69ed56a2da86d912b91f5844225867a8ce292ac72a4c8cbb8a0

Observation c35fdf05-abff-4a24-9952-13cc2a8d2ca6 · inbound

TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding cites this paper.

TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:18:29.580215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T00:17:30.857845Z digest=sha256:543a16632e8e633b3803073170f8e04fdb2eb03dc91a4f2b8c9268c464bd7d90

Observation a167707c-f64f-49a0-984d-c07f549d6a3f · inbound

Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication cites this paper.

Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:09:22.963742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T19:57:23.678364Z digest=sha256:7c284616e46f52866aeb37d5c5e2a54add88455531304a225584b82bec6ae3b0