Paper Citation Record · LEDGER

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.20754.

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

pith.paper-citation-record.v1
2508.20754 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:53:58.661755Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy36
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f1bb9d7-eb64-4ee5-9f36-225b40b8d224 · outbound

This paper cites Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth.Transactions on Machine Learning Research, 2023.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth.Transactions on Machine Learning Research, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:08.764850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab7b329d-3fac-4e59-9b9b-dc1bacbf0b5b · outbound

This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:53:59.170661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92bccba9-35c2-4cb5-8a36-d31873371457 · outbound

This paper cites SLCF-Net: Sequential LiDAR-camera fusion for seman- tic scene completion using a 3D recurrent U-Net.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting SLCF-Net: Sequential LiDAR-camera fusion for seman- tic scene completion using a 3D recurrent U-Net

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:08.497601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2dfe3ad-c855-44d7-a3cd-21f47d830ceb · outbound

This paper cites pixel- splat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting pixel- splat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:08.242215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 902ab3be-72a5-4a72-8ec4-3bdcd75b2cc6 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:07.992359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0874a57f-616b-444b-b252-a642f9395413 · outbound

This paper cites Evloc: Event-based visual lo- calization in lidar maps via event-depth registration.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Evloc: Event-based visual lo- calization in lidar maps via event-depth registration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:07.742412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9dedbb1b-164f-4f10-a9d7-e13069ded7cb · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:07.470097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1d8bee9-c3ac-4f4e-a0df-8820a79de756 · outbound

This paper cites Explicit correspondence matching for generalizable neural radiance fields.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Explicit correspondence matching for generalizable neural radiance fields

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:07.223129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03120e67-bea0-422f-8048-6d88313edc72 · outbound

This paper cites Transmvsnet: Global context-aware multi-view stereo network with transformers.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Transmvsnet: Global context-aware multi-view stereo network with transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:06.900147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c774b8e8-23fa-4865-ac58-e755f21c00ba · outbound

This paper cites Object-centered surface reconstruction: Combining multi-image stereo and shading.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Object-centered surface reconstruction: Combining multi-image stereo and shading

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:06.663134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 737ebc78-7896-4e1c-946d-e44c6931db97 · outbound

This paper cites Massively parallel multi- view stereopsis by surface normal diffusion.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Massively parallel multi- view stereopsis by surface normal diffusion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:06.373704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0044369b-8d89-4d83-a031-65962d9b5a07 · outbound

This paper cites Cas- cade cost volume for high-resolution multi-view stereo and stereo matching.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Cas- cade cost volume for high-resolution multi-view stereo and stereo matching

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:06.089942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f3e3bc7-5f97-406f-bfed-b5212eb1409a · outbound

This paper cites 3d map recon- struction using a monocular camera for smart cities.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting 3d map recon- struction using a monocular camera for smart cities

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:05.855250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ccbfbe6c-81c6-4733-a6e6-d79b04f6dd02 · outbound

This paper cites Icg-mvsnet: Learning intra-view and cross-view rela- tionships for guidance in multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Icg-mvsnet: Learning intra-view and cross-view rela- tionships for guidance in multi-view stereo

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:05.578287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff584885-fd4f-459e-97d7-e44413c1ed93 · outbound

This paper cites Large scale multi-view stereopsis evaluation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Large scale multi-view stereopsis evaluation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:05.275572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4601dcc7-f8f2-43f8-a853-5c6d59e76886 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:04.990611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d83ee98e-bd58-4685-acee-869a4e20a5ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Adam: A Method for Stochastic Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T14:53:55.913870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a44ac329-ed18-4b41-867e-6eb81f022e0d · outbound

This paper cites Tanks and temples benchmarking large-scale scene reconstruction.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Tanks and temples benchmarking large-scale scene reconstruction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:04.722770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d93e19e-3879-4dd7-b9da-2d96cc9d6f1e · outbound

This paper cites SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:53:56.148179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d78428e-731e-4fd5-889d-69dbbbd4231f · outbound

This paper cites Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:53:58.866339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fc3744e-6dc7-41b5-bfa3-dd54cd3ba251 · outbound

This paper cites Feature pyramid networks for object detection.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Feature pyramid networks for object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:04.479244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 837e76d3-8ef4-4eed-b742-5b367dc13e51 · outbound

This paper cites Geometry-aware reconstruction and fusion-refined rendering for generalizable neural radiance fields.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Geometry-aware reconstruction and fusion-refined rendering for generalizable neural radiance fields

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:04.160954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45079f52-a02c-465e-bb73-5ce65e40989f · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splat- ting reconstruction from multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsgaussian: Fast generalizable gaussian splat- ting reconstruction from multi-view stereo

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:03.953695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd7dd336-6600-4ee1-9fb3-0fcda566680d · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Local light field fusion: Practical view synthesis with prescriptive sampling guidelines

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:03.718185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6eb29ee6-6276-4a06-a2d0-92d3f9e45e9a · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Srinivasan, Matthew Tancik, Jonathan T

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:03.459747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afce6b25-e9a9-4745-8c3b-dcbc06960520 · outbound

This paper cites Rethink- ing depth estimation for multi-view stereo a unified representation.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Rethink- ing depth estimation for multi-view stereo a unified representation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:03.188078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de6f6307-fec7-41b2-af9e-fa0e011fb234 · outbound

This paper cites Structure-from-motion revisited.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Structure-from-motion revisited

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:02.868767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcf83b60-56f5-42e4-84a7-42e69106ecc7 · outbound

This paper cites Pix- elwise view selection for unstructured multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Pix- elwise view selection for unstructured multi-view stereo

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:02.606692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2515169-d78f-4cbd-b5b4-1d49656d36c4 · outbound

This paper cites Splatter image: Ultra-fast single-view 3d reconstruction.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Splatter image: Ultra-fast single-view 3d reconstruction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:02.348171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c395381-cbee-4e1e-9b7a-11248b9e3232 · outbound

This paper cites Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:02.085385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e31d53a7-d35e-4433-80bc-4ff4a99e3ed3 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Image quality assessment: from error visibility to structural similarity

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:01.810932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd43cde0-1ba1-45b3-b21c-cf33ba0e3112 · outbound

This paper cites Gmflow: Learning optical flow via global matching.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Gmflow: Learning optical flow via global matching

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:01.562390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6012ff67-c09b-4763-9f69-f65c944ced27 · outbound

This paper cites Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:01.290791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5664a9c1-7211-46c7-9e32-3edd9b5aa9af · outbound

This paper cites Dense hybrid recurrent multi-view stereo net with dynamic consistency checking.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Dense hybrid recurrent multi-view stereo net with dynamic consistency checking

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:01.009210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f3df642-5ab7-401c-a276-ee265ec9380c · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Mvsnet: Depth inference for unstructured multi-view stereo

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:00.802490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10f73b01-4951-4555-8a70-4c97cd458901 · outbound

This paper cites pixelNeRF: Neural radi- ance fields from one or few images.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting pixelNeRF: Neural radi- ance fields from one or few images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:00.557674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcf2e7c0-9fdc-44ea-9338-9bda5aa6d1b5 · outbound

This paper cites Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:54:00.274356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3080d2d3-b09c-41cc-8a47-e6bb139fa485 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:53:59.964581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f6657f1-e2e6-4518-b5ca-75c24e46bab2 · outbound

This paper cites Geomvsnet: Learning multi- view stereo with geometry perception.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Geomvsnet: Learning multi- view stereo with geometry perception

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:53:59.757611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1691a275-6321-45eb-a4f9-409d0dbed61c · outbound

This paper cites Ours” refer to the generalization setting in Table 2, while “MVSGaussian f t.

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting Ours” refer to the generalization setting in Table 2, while “MVSGaussian f t

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:53:59.439132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.