Pith. sign in

Paper Citation Record · LEDGER

Variance Control via Weight Rescaling in LLM Pre-training

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.17500.

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

pith.paper-citation-record.v1
2503.17500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:14:10.099143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:07.761002Z

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 72d77f85-8ffc-44fc-a565-78f10d6dac32 · inbound

Demystifying Manifold Constraints in LLM Pre-training cites this paper.

Demystifying Manifold Constraints in LLM Pre-training Variance Control via Weight Rescaling in LLM Pre-training

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:16:08.623547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T17:44:44.438637Z digest=sha256:210dd5ccd4859016449ab79f74dbd7cf8ce5790442d952ea9fbfb790136349c6

Observation b3132b37-92bc-44dd-b41e-a6e691f6c01d · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Variance Control via Weight Rescaling in LLM Pre-training

Reference 123

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:30:07.762545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-25T20:05:09.179627Z digest=sha256:b3532cddf9d0759a9072db05ed6d3f5b3d81af65980cc4e846165d964c1fe088

Observation dc5af3d6-b8c5-4112-a825-b1f19b014283 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Variance Control via Weight Rescaling in LLM Pre-training

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T10:14:10.099143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:14:10.099143Z digest=sha256:c0ca5d0e28598cd194684a19183b47370d9e0e6e0519327c6dd59a15c13ee338