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Paper Citation Record · LEDGER

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.06014.

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

pith.paper-citation-record.v1
2608.06014 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:26:45.149862Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a41a839c-71b3-4714-8271-d3cafd3c9fc2 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Adaptive Computation Time for Recurrent Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.096418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.096418Z digest=sha256:276e30e47dc0f1d10c309e96760a75b120063104731399dc455f5a1424d0ac85

Observation 88da8214-ae93-4272-bc7a-481c3f33437c · outbound

This paper cites URLhttps://proceedings.neurips.cc/ paper_files/paper/2024/hash/87571720167f7e88827c40e468e3101f-Abstract-Conference.html.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute URLhttps://proceedings.neurips.cc/ paper_files/paper/2024/hash/87571720167f7e88827c40e468e3101f-Abstract-Conference.html

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-07T19:26:45.855309Z

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=2026-08-07T19:26:45.105260Z digest=sha256:874a4179cc16f20b2748e95b365bff50fc7e4914d300dc4078ef3799f432162b

Observation e8efa2b8-9e87-4702-83b7-0eb48396400d · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.117816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.117816Z digest=sha256:3e746c64eb54472369ff423a25dc7565a8507b2577518898fb08aaff9b2eb830

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.130950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.130950Z digest=sha256:9fabdb60bbf0da0cdf00a6d5ced8d344ec22b07e8f7787ad2a5208646b0305dc

Observation b13cf9d7-788b-4df8-b01e-347bfa683e6b · outbound

This paper cites RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.137104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.137104Z digest=sha256:5d258d3a5b09462d59906e1dce66321d13159fbd0895ca0ed2aa90a0f5a17329

Observation d3859f10-5705-4ad6-98b6-468af5a3bb8c · outbound

This paper cites Scaling Latent Reasoning via Looped Language Models.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Scaling Latent Reasoning via Looped Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.149862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.149862Z digest=sha256:b607262756c1410ea2c91121029ae4450c3cf16a0f5e6e1f39bb0c7cd91bce2b

Observation 002893f5-efcc-4caf-a5b9-9100379550be · outbound

This paper cites URLhttps://doi.org/10.1214/aos/1176347265.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute URLhttps://doi.org/10.1214/aos/1176347265

Reference 1989

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.111583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.111583Z digest=sha256:7a01a68aed64fac640804b4b13ebbc0d3e63a71b8206e13ded951f9794e1f9c9

Observation ab57c044-ee32-4d37-bbdd-c09b68cddbdd · outbound

This paper cites PonderNet: Learning to Ponder.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute PonderNet: Learning to Ponder

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.075272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.075272Z digest=sha256:4252970d2c208f57877ae056a3d995c30a07e2065370ee9fa517774c08d80ab9

Observation 775cf6b4-ddec-46ae-b9e2-09f4b020a136 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.089140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.089140Z digest=sha256:84d557a0bcc9c40f29c601a45f65b5b2750e43ce7fc2a112472b1e2d3c08b8a3

Observation 2ce00743-1fb4-43f6-bf8b-85fe645f97d5 · outbound

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

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.083082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.083082Z digest=sha256:2d459c27735d283b65b1b4a6262393ccaaf141d61210b810c1edac58cd4ece9f

Observation 62dd45e2-7dc1-4923-a7b6-b087e71b84bf · outbound

This paper cites Yunpeng Zhang, Zheng Zhu, and Dalong Du.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Yunpeng Zhang, Zheng Zhu, and Dalong Du

Reference 2025

Resolution
verified exact
arxiv_id, observed 2026-08-07T19:26:45.454010Z

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=2026-08-07T19:26:45.142627Z digest=sha256:2e457b0c1ce89269e21e32581037372aa46f1e3cf2438147cdd4454264c9d9e5

Observation 37233646-629c-42c7-8952-fd15c84f7b32 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:45.124485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:26:45.124485Z digest=sha256:fffba6ff1d4dcc260ea0972cd6481442fb1fbc1ced7b246d6a17ccfac96c50f8

Pith citing papers

No inbound Pith citation observations are available.