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Paper Citation Record · LEDGER

Sparse Gradient Compression for Fine-Tuning Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.00311.

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

pith.paper-citation-record.v1
2502.00311 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T08:39:31.911497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:39:53.214305Z

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 a3331bde-6d91-4d52-ba99-2af783afbbaa · inbound

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation cites this paper.

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation Sparse Gradient Compression for Fine-Tuning Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:52:15.108322Z

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=2026-05-19T10:50:36.629493Z digest=sha256:77bb8ae7c532f6b28d3b184b45bac06eafc2e904c8d788a5364e57aec36bba68

Observation 27061e32-7b68-4a2c-90b1-f173f2dba996 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Sparse Gradient Compression for Fine-Tuning Large Language Models

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:16.046949Z

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=2026-05-08T05:14:14.168753Z digest=sha256:08ed41c269cbaed5ac78cd8f5db742fc04cfa90762186bd00d6d7b31f4850b9d

Observation 189fef69-51a0-4caf-9c2d-a20fc04556ed · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Sparse Gradient Compression for Fine-Tuning Large Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:39:53.216763Z

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=2026-05-21T08:39:31.911497Z digest=sha256:9b0b873cd663d0727f9bef1739951f36140aef35ade360a93833e75c535d539d