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Paper Citation Record · LEDGER

HCCL: Collective Communication for Meta Training and Inference Accelerators

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.00358.

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

pith.paper-citation-record.v1
2608.00358 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:41:51.969063Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a359d36-130c-478c-b7f4-bdb11a05c2ed · outbound

This paper cites RCCL: ROCm communication collectives library,.

HCCL: Collective Communication for Meta Training and Inference Accelerators RCCL: ROCm communication collectives library,

Reference 1

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source=pdf_text observed=2026-08-04T00:41:49.574032Z digest=sha256:a5c06ac60f8c59990d90ba0dcb7eea4c1c231342a67113d9eff96b9cd1b980bf

Observation de22046a-bf16-4a03-9a83-f9b2fed0a483 · outbound

This paper cites MPICH: High-performance portable MPI,.

HCCL: Collective Communication for Meta Training and Inference Accelerators MPICH: High-performance portable MPI,

Reference 2

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source=pdf_text observed=2026-08-04T00:41:49.618432Z digest=sha256:b089646e028548eb866544e4ab555047c9efbc810f6166a383a4f6f1f07062f8

Observation ae7bcaf3-84ea-45c9-b0f3-cfbf3393936f · outbound

This paper cites SHMEM user’s guide for C,.

HCCL: Collective Communication for Meta Training and Inference Accelerators SHMEM user’s guide for C,

Reference 3

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source=pdf_text observed=2026-08-04T00:41:49.688968Z digest=sha256:90de46658365e63536256bfaef18aa412abec74994db4d591f7538a6f2594078

Observation f88c2d98-562a-4443-adb0-64b623d3582d · outbound

This paper cites Meta’s second generation ai chip: Model-chip co-design and productionization experiences,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Meta’s second generation ai chip: Model-chip co-design and productionization experiences,

Reference 4

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source=pdf_text observed=2026-08-04T00:41:49.746892Z digest=sha256:3b5e85d09940f44a0a938ac8f6176b42d122a6e985965627b7374ac2709082fa

Observation e67b9375-01ad-4de3-b6ec-93128a2dac29 · outbound

This paper cites Pytorch distributed overview,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Pytorch distributed overview,

Reference 5

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source=pdf_text observed=2026-08-04T00:41:49.806440Z digest=sha256:624499af7f18c123606201c26289137a9b62b2f4b3d4e70128b141d5378542cc

Observation f0e3fdbf-255c-4673-974e-f17b49c0eef4 · outbound

This paper cites MSCCLang: Microsoft collective communication language,.

HCCL: Collective Communication for Meta Training and Inference Accelerators MSCCLang: Microsoft collective communication language,

Reference 6

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source=pdf_text observed=2026-08-04T00:41:49.942555Z digest=sha256:9924a35590e254323df27dbbec0df7686210f11a4f9c43d1b4a2766e20315675

Observation cdfef5ae-98e7-4de3-b9e0-e9e650802230 · outbound

This paper cites MTIA: First generation silicon targeting meta’s recommendation systems,.

HCCL: Collective Communication for Meta Training and Inference Accelerators MTIA: First generation silicon targeting meta’s recommendation systems,

Reference 7

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source=pdf_text observed=2026-08-04T00:41:50.020386Z digest=sha256:c8e531905df3924721a5d67fce747b7a6b6a6ee6e6cc7f2253d048cb9d9bed3f

Observation e07d8942-835f-4916-8253-811be6f01f9d · outbound

This paper cites Open MPI: Goals, concept, and design of a next generation MPI implementation,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Open MPI: Goals, concept, and design of a next generation MPI implementation,

Reference 8

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source=pdf_text observed=2026-08-04T00:41:50.075706Z digest=sha256:f1a5917b5405a2f8f5dd9812655d587bce915340845562637d39c1fa9f698ab5

Observation d95da97a-2b39-450d-8a06-a74a717d0ca1 · outbound

This paper cites Scalable Hierarchical Aggregation and Reduction Protocol (SHARP): A Hardware Architecture for Efficient Data Reduction,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Scalable Hierarchical Aggregation and Reduction Protocol (SHARP): A Hardware Architecture for Efficient Data Reduction,

Reference 9

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source=pdf_text observed=2026-08-04T00:41:50.155894Z digest=sha256:31afa0f2f64a3c16857f118232e37fae1d5497689680926c80024762b63b3709

Observation f717dd4d-e36b-41e7-92dd-80c5d4ff4954 · outbound

This paper cites Practical lessons from predicting clicks on ads at facebook,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Practical lessons from predicting clicks on ads at facebook,

Reference 10

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source=pdf_text observed=2026-08-04T00:41:50.220610Z digest=sha256:df055ee010ca72eb4558fa842cd9d433b5436d5004e07c90d8e59f81b9ccf31a

Observation c6332e47-77e4-4005-99ba-6008083092a7 · outbound

This paper cites oneCCL: Intel oneAPI collective communications library,.

HCCL: Collective Communication for Meta Training and Inference Accelerators oneCCL: Intel oneAPI collective communications library,

Reference 11

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source=pdf_text observed=2026-08-04T00:41:50.304945Z digest=sha256:d17b02bcd699c8bc46bdc0fb667cc7b820b6701bf19b407363bafdf358c38e80

Observation 1bf2a75a-2b55-409f-85c1-1642d0c4d092 · outbound

This paper cites [Online].

HCCL: Collective Communication for Meta Training and Inference Accelerators [Online]

Reference 12

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source=pdf_text observed=2026-08-04T00:41:50.372910Z digest=sha256:f954bb5074231e655919e048287a2cf1146e4bf7c6b0260bdcd008e269b40090

Observation d695ccc4-1d52-4dba-adb9-685ddcba3f93 · outbound

This paper cites [Online].

HCCL: Collective Communication for Meta Training and Inference Accelerators [Online]

Reference 13

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source=pdf_text observed=2026-08-04T00:41:50.473507Z digest=sha256:85b7bdbd9ae3bd024110a3bf316facc984f4333463642473b68d31b56d659e64

Observation d3ee888e-bf2b-4990-88fe-f7c9936e1970 · outbound

This paper cites [Online].

HCCL: Collective Communication for Meta Training and Inference Accelerators [Online]

Reference 14

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source=pdf_text observed=2026-08-04T00:41:50.568499Z digest=sha256:e064a820701efcbc4b8c6010584154e17b5fd347448316378d223bc46848eb6a

Observation d3f2bf60-471e-4ffd-945e-d7d5ac0c68ff · outbound

This paper cites Gloo: Collective communications library,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Gloo: Collective communications library,

Reference 15

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source=pdf_text observed=2026-08-04T00:41:50.644146Z digest=sha256:6d547dd9a61b88ff6946dc385a10f6aa429567669aa8207a3baebcfe26a00236

Observation 6d1d7b2a-72f3-4d35-9be5-0201b3378e1a · outbound

This paper cites PARAM Benchmarks,.

HCCL: Collective Communication for Meta Training and Inference Accelerators PARAM Benchmarks,

Reference 16

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source=pdf_text observed=2026-08-04T00:41:50.715077Z digest=sha256:5062e78e8ce99eabf2d212f1eb1328c6454d9baf788fb9401189737e91ec55c8

Observation e3966ae9-0357-4ddf-ab28-226722092f8a · outbound

This paper cites MSCCL: Microsoft collective communication library,.

HCCL: Collective Communication for Meta Training and Inference Accelerators MSCCL: Microsoft collective communication library,

Reference 17

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source=pdf_text observed=2026-08-04T00:41:50.790853Z digest=sha256:da844b9c9cf7e4bcb0c364c224c2565c6687da22049dff9e23c7e1ee4b4e7d5d

Observation 9b912b55-1663-44a6-b6fb-0b0629e101bc · outbound

This paper cites Mtia-3: Meta’s first training chip featuring built-in nics and collective offloading engines,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Mtia-3: Meta’s first training chip featuring built-in nics and collective offloading engines,

Reference 18

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source=pdf_text observed=2026-08-04T00:41:50.871963Z digest=sha256:8bb73d4e27bc200869a972cd4141c3ac2dc76d680abaa19e4f7de4d6b4c09e28

Observation 67b0e4db-0abc-45f3-a587-c822ecb28911 · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

HCCL: Collective Communication for Meta Training and Inference Accelerators Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 19

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source=pdf_text observed=2026-08-04T00:41:50.945498Z digest=sha256:7efc3af483ef1e4a722a067d702d2818cef44624c75b41f523ed7e424cdc3d35

Observation 1c9c55bb-6d71-41a6-ad4c-caa007901ca1 · outbound

This paper cites NCCL: NVIDIA collective communications library,.

HCCL: Collective Communication for Meta Training and Inference Accelerators NCCL: NVIDIA collective communications library,

Reference 20

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source=pdf_text observed=2026-08-04T00:41:51.005917Z digest=sha256:3225bf5eea5125c90836ed53903c07eb5e50b67a59e78ba9949177b06190701b

Observation 788a2512-a6f7-4cca-a5e8-88eec2e9bd87 · outbound

This paper cites NVSHMEM: NVIDIA’s implementation of OpenSHMEM for GPU clusters,.

HCCL: Collective Communication for Meta Training and Inference Accelerators NVSHMEM: NVIDIA’s implementation of OpenSHMEM for GPU clusters,

Reference 21

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source=pdf_text observed=2026-08-04T00:41:51.071611Z digest=sha256:9e9c02a2a7d8b437595da3a0182e4f3b858a9910a2bfa80e4179065f82f509bc

Observation 4454dbb8-6cd0-47b4-bc54-4a2f47b76c5f · outbound

This paper cites OpenSHMEM application programming interface, version 1.5,.

HCCL: Collective Communication for Meta Training and Inference Accelerators OpenSHMEM application programming interface, version 1.5,

Reference 23

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source=pdf_text observed=2026-08-04T00:41:51.224888Z digest=sha256:f990d163afcbf27a20c4dd37a147e67c0d057181a9f8cc3d0ed178995af3ba17

Observation 1817761b-9704-4680-9196-45d73cd053c2 · outbound

This paper cites Bandwidth optimal all-reduce algorithms for clusters of workstations,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Bandwidth optimal all-reduce algorithms for clusters of workstations,

Reference 24

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source=pdf_text observed=2026-08-04T00:41:51.264044Z digest=sha256:e870ab324560d8c1c1cb977fbd7b03a970bf93fed92eb539f24672f2a25d2310

Observation 5c820d14-401c-454f-b319-5d091528a9f0 · outbound

This paper cites Collective communication for 100k+ gpus,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Collective communication for 100k+ gpus,

Reference 25

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Observation b48d2c06-b7a9-47b2-83f9-be1c35f70a11 · outbound

This paper cites Four mtia chips in two years: Scaling ai experiences for billions,.

HCCL: Collective Communication for Meta Training and Inference Accelerators Four mtia chips in two years: Scaling ai experiences for billions,

Reference 26

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source=pdf_text observed=2026-08-04T00:41:51.479201Z digest=sha256:574f24a94f3ac938620ca3969910be169ecc9360a8ca64443295a6afe03dae4b

Observation 8448673f-d449-4560-bee5-602bbc3fd38f · outbound

This paper cites torchcomms: a modern PyTorch communications API,.

HCCL: Collective Communication for Meta Training and Inference Accelerators torchcomms: a modern PyTorch communications API,

Reference 27

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Observation ba1b79ca-9358-43a2-af28-473d2f6b075f · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

HCCL: Collective Communication for Meta Training and Inference Accelerators Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 28

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source=pdf_text observed=2026-08-04T00:41:51.791622Z digest=sha256:fb59b013f05c88c1617b1e53ef1a95f7abe05a899c6f86b4d7df4d72dd6d9a4b

Observation d16bc664-2625-4d9d-bdea-19902e1bb432 · outbound

This paper cites DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

HCCL: Collective Communication for Meta Training and Inference Accelerators DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 29

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Observation aaf3f996-9227-45f3-8087-761290e7667b · outbound

This paper cites Available: https://docs.pytorch.org/tutorials/beginner/ dist overview.html.

HCCL: Collective Communication for Meta Training and Inference Accelerators Available: https://docs.pytorch.org/tutorials/beginner/ dist overview.html

Reference 2020

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source=pdf_text observed=2026-08-04T00:41:49.868767Z digest=sha256:e03b277ef57b69f36ef0c6d6482b258601cb9aa43d2ce01f4d5bb40b50fd4fa1

Observation 12190ce2-0968-4bee-8d10-2164369ee107 · outbound

This paper cites Available: https://www.nvidia.com/content/dam/en-zz/ Solutions/Data-Center/documents/datasheet-nvidia-bluefield-2-dpu.pdf.

HCCL: Collective Communication for Meta Training and Inference Accelerators Available: https://www.nvidia.com/content/dam/en-zz/ Solutions/Data-Center/documents/datasheet-nvidia-bluefield-2-dpu.pdf

Reference 2021

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source=pdf_text observed=2026-08-04T00:41:51.152280Z digest=sha256:568d972f4585903958e75684b818ea75d5ce8f6a68479886eb3ac0a089bd5a4d

Pith citing papers

No inbound Pith citation observations are available.