Pith. sign in

Paper Citation Record · LEDGER

Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.13681.

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

pith.paper-citation-record.v1
2309.13681 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:43.019137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:42:36.092988Z

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 37f347c5-f46a-48a5-9ea0-de6afe4c3d50 · inbound

SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training cites this paper.

SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:43.019137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:43.019137Z digest=sha256:df34e2ae6e6412b15ff60c4c797b05d103de913b975bbb875e791e9dc163b66f

Observation ae30db2c-0890-4f03-986b-b85338eee1e5 · inbound

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training cites this paper.

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:42:36.094757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T18:53:47.187437Z digest=sha256:84e2decf8b3e497cc4c52ce7e13983e007124dd03912da14d7d895214a987588