Paper Citation Record · LEDGER

Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.02679.

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

pith.paper-citation-record.v1
2106.02679 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:19:49.523451Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:26:13.229257Z

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 89e3eec5-d1fb-4e4f-8570-3e9efa26aa0f · inbound

From CISC to RISC: language-model guided assembly transpilation cites this paper.

From CISC to RISC: language-model guided assembly transpilation Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:49.523451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7067a381-fa49-477c-a557-111d07697ab6 · inbound

Zorse: Optimizing LLM Training Efficiency on Heterogeneous GPU Clusters cites this paper.

Zorse: Optimizing LLM Training Efficiency on Heterogeneous GPU Clusters Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:38:39.821748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475ab001-acfd-43f3-877b-ae2d2fb196d6 · inbound

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics cites this paper.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T17:49:20.566377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3c3595-0ed5-496b-91c7-3b195963497d · inbound

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study cites this paper.

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:13.231081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.