Pith. sign in

Paper Citation Record · LEDGER

Methods of improving LLM training stability

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.16682.

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

pith.paper-citation-record.v1
2410.16682 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:20:16.179750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.582185Z

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 22a56c48-f98b-43e8-84e5-c06205cf2fcc · inbound

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Methods of improving LLM training stability

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:02:31.742547Z

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=2026-05-18T10:01:56.131253Z digest=sha256:2c5c713411c51764d5358b3b55ba5df7a9d31d0d236d5d3a26465fa346f7646c

Observation 83c5fc16-e18d-401a-a41a-39e56c78d11d · inbound

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation cites this paper.

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Methods of improving LLM training stability

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:57:17.704650Z

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=2026-05-13T04:53:52.898843Z digest=sha256:680db8fb17946dcc56bbcee3d2246ca5d467a05566bb064a7849be5cace7fdf2

Observation 62d5ba52-2128-46da-97af-33982eb43482 · inbound

A Unifying View of Attention Sinks: Two Algorithms, Two Solutions cites this paper.

A Unifying View of Attention Sinks: Two Algorithms, Two Solutions Methods of improving LLM training stability

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.584165Z

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=2026-06-27T19:51:41.329591Z digest=sha256:e10a0a0cb15b6ae1ded9fec14f590a552b911b3583544b8ea237d8e62b68f4ce

Observation 861b0bfd-6273-43ef-a7b8-e17639c40829 · inbound

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse cites this paper.

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse Methods of improving LLM training stability

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T15:20:16.179750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:20:16.179750Z digest=sha256:cc7a1e7a2ad29a97b9bbe7987dae1a259bfc57948aefeef4c50d6f85125615c9