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Paper Citation Record · LEDGER

ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2306.10209.

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

pith.paper-citation-record.v1
2306.10209 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:11:39.333472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T09:16:06.674984Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 ce954f97-992f-4114-a238-3d42059907ab · inbound

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference cites this paper.

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T21:11:39.333472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:11:39.333472Z digest=sha256:5ba5f01da38955f7618c3b0479335e73b55ee11ce31d3be491195011d28db843

Observation e6cee94d-9069-47d4-9335-4375fccf66f0 · inbound

Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning cites this paper.

Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:38.171907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:38.171907Z digest=sha256:5f1c700c5d83a4679ea15bf8f59cc2cbee306155a3b0f3289109d892ed6ca90c

Observation 5e0d5778-75b7-4ff1-ac7f-29df7773938a · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.127688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:45:30.127688Z digest=sha256:ddfaef0b2a3b62d968958c10c692e2bb7e20e1fb831656fa33bfeb11f99ccd97

Observation 4112655e-79f4-4063-8ac6-121c08400454 · inbound

Towards Decentralized and Sustainable Foundation Model Training with the Edge cites this paper.

Towards Decentralized and Sustainable Foundation Model Training with the Edge ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T20:49:19.838142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:19.838142Z digest=sha256:f975d06179c0e8db5b710f1daaef446da6a3b98a2503d49815f552184e182ab3

Observation dc73c0e0-d89e-46ed-81c8-57b908b7d4f1 · inbound

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios cites this paper.

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:14.207316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:14.207316Z digest=sha256:366b3c22d7b185c485c54d6049bde276d15a24dc9c00cfb1d194e74b3862d9c9

Observation 66031123-0360-482c-b267-a9892f3b4b86 · inbound

400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects cites this paper.

400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T12:30:43.886921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:30:43.886921Z digest=sha256:001a3f68569bd02ff070d193436d8e8a43b99b670cdef4896540788673ca8cbb

Observation 5a4fdf3c-34ff-499e-b5f5-5df1411334b6 · inbound

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network cites this paper.

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:58:36.920410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T01:54:00.951348Z digest=sha256:1f9336b9e55e7adcbced07cf1cc4a6300fafde33a4189bbee0218a90cd5773b1

Observation 1d61ee0b-b9e6-496e-b564-f7a41926b5a8 · inbound

UCCL-Zip: Lossless Compression Supercharged GPU Communication cites this paper.

UCCL-Zip: Lossless Compression Supercharged GPU Communication ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:41:37.166144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T06:36:43.101810Z digest=sha256:af5674fcd21551a8fc5a7ed651faabdf190de59466d7abc9c02a4e548857bc27

Observation 42b3f969-4330-487b-8164-2f1d97069cb6 · inbound

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost cites this paper.

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:37.696149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T04:27:03.154268Z digest=sha256:8e586edfc2ec9cc995703d281fdce8274aba68220e3377d862bb95672b322f71

Observation 40e99615-9c70-405d-ac46-8c65efe92d85 · 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 ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:42:36.070499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T18:53:47.187437Z digest=sha256:f16f4cfd5490c3990e66577012d37d40e813ea396ba29c6e714a157a4ce087a2

Observation 95f29918-0422-4bcf-9cdf-74dd786aacb6 · inbound

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication cites this paper.

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:58:46.532914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T17:56:52.510949Z digest=sha256:bfade7ed2d9570c9fd7bebb18251c6a473500a6319437006cac4fd500b3a0799

Observation f72b09a6-2543-4ecb-aea5-a3711a6cba83 · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 21

Resolution
malformed identifier
local_arxiv, observed 2026-07-09T09:16:06.676458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T09:15:12.214083Z digest=sha256:b482151883e1b7f87d3876fabe6173507f2324abd78fe9ee9c0f272d086cc727

Observation 19afbcb8-52c5-4adb-927e-84752dd2d726 · inbound

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization cites this paper.

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-01T06:48:48.837725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:48:48.837725Z digest=sha256:11a9c49d35a3071e436a217b0d1a7a7585c0a991575ecb5e774f356eb40a68ef