Paper Citation Record · LEDGER

AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.11034.

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

pith.paper-citation-record.v1
2502.11034 v4

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:27.943988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:16:28.922444Z

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 8413a921-310e-4b0b-975d-f730390a50b6 · inbound

Dense Local Dependencies Induce Attention-Logit Explosion and Training Instability During Long-Sequence Transformer Training cites this paper.

Dense Local Dependencies Induce Attention-Logit Explosion and Training Instability During Long-Sequence Transformer Training AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:27.943988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808990e5-6e2e-493a-889d-8d20a7c105c5 · inbound

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization cites this paper.

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-10T02:11:12.038297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff9d8146-6331-4f96-83c1-b8ed585c9598 · inbound

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers cites this paper.

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping

Reference 109

Resolution: unresolved; no resolver link, observed 2026-07-11T22:10:49.683444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b22f652-651d-4634-82f1-136d57ae4494 · inbound

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

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient Clipping

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T15:20:16.207834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.