Pith. sign in

Paper Citation Record · LEDGER

Noise Injection-based Regularization for Point Cloud Processing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.15027.

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

pith.paper-citation-record.v1
2103.15027 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:57.653440Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:24.101614Z

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 b1cdd71e-8911-4ebd-bf69-366fe7d32a78 · inbound

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique cites this paper.

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique Noise Injection-based Regularization for Point Cloud Processing

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:57.653440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.653440Z digest=sha256:ad486d4290f7c1ab3397204466e9558092e2b008c9f1bbd0ce6e54951f06a63b

Observation 38aeaad3-b3dd-4f35-a402-11ab8a2b4389 · inbound

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning cites this paper.

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning Noise Injection-based Regularization for Point Cloud Processing

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:24.105104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T04:51:05.359636Z digest=sha256:adbaba0a8e26ad8021289b2d2e7fe79a51e054fe2587e728413a34bcc491c99a