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Paper Citation Record · LEDGER

Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.06465.

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

pith.paper-citation-record.v1
2411.06465 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:20:01.748761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:56:30.576409Z

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 6d204c69-99c5-4a21-bd5b-525ec5c9bf7f · inbound

NoLoCo: No-all-reduce Low Communication Training Method for Large Models cites this paper.

NoLoCo: No-all-reduce Low Communication Training Method for Large Models Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:01.748761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:20:01.748761Z digest=sha256:7024460ae4b083e72cbb4210b1cb48db73a532115ba420d0dc078d8f88727d64

Observation e32eb0e6-464d-41a3-966d-b853737610e3 · inbound

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:30.578773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T04:07:33.610288Z digest=sha256:4da288b247187965c134a8bf4562c0e0abf32ac0b4527d53b8462682596f8b7a