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Paper Citation Record · LEDGER

Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.04004.

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

pith.paper-citation-record.v1
2402.04004 v2

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 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:05:16.176070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.836145Z

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 2d9b7f7c-fb54-4a5f-9750-bab4f9bd47d5 · inbound

Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model cites this paper.

Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T23:05:16.176070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:05:16.176070Z digest=sha256:d7e989ac64dc840f7eef6c5f228341e477b14df189f6e9731d1ae94d6b269e1c

Observation ee0bfb67-372b-4a25-850d-e77bce86904d · inbound

Calibrating LLMs with Information-Theoretic Evidential Deep Learning cites this paper.

Calibrating LLMs with Information-Theoretic Evidential Deep Learning Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T15:50:05.850931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:50:05.850931Z digest=sha256:f74818bc95bba71a9cb92c95965bcd1339f06fb8d0e937d7d417f413aaa8966a

Observation 18420bcd-1426-47cd-8f14-8638b35a56f6 · inbound

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation cites this paper.

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.627462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:11.627462Z digest=sha256:37783dd65e06be0df6a2ef136399a210e930ad069e55cba286d9e70fedcaae2d

Observation 7dbed18f-9106-4ec9-82ec-f9b81019f051 · inbound

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:54.725250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:54.725250Z digest=sha256:bad21b7eee80ff9bba651e30e78f76a36affcd9f311ae37cf6f4b7e5d2d17689

Observation aa38baef-3eb8-441d-932b-be699de9694e · inbound

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training cites this paper.

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:48:50.962607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T01:46:21.744857Z digest=sha256:87107eb96fe1af84c9c0f8e992c2513ef454c9d3ed57277b0b0e268a2703d617

Observation f22c3d0f-e544-4dab-be37-d5c324526e6e · inbound

Multilinguality at the Edge: Developing Language Models for the Global South cites this paper.

Multilinguality at the Edge: Developing Language Models for the Global South Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:36:04.806352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T21:32:37.544226Z digest=sha256:2cf275b38d74d98c9e01dd4f01d42b623453023765ad5755d965d43bf99cd660

Observation c11d1893-217a-46dc-bd17-1c6e4b6fcfb0 · inbound

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening cites this paper.

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:21.174093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T14:03:56.859481Z digest=sha256:640d807587c546d8d9df2003f2173562ef948fa16ae3a5251e8da1cf19f1cf96

Observation 36850f32-7461-4373-b85b-ac793698843d · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought

Reference 146

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.837752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:4c1e78f91d4aef9413aa1c10064099ef7d19cafcf5d6614982824e0f1388f741