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Paper Citation Record · LEDGER

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.17766.

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

pith.paper-citation-record.v1
2507.17766 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:57:12.934542Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c7fc609-e73d-4dff-9ba5-7c089a7f0fd7 · outbound

This paper cites LLM pretraining: The use-case blockchain has been waiting for?, 2024.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release LLM pretraining: The use-case blockchain has been waiting for?, 2024

Reference 1

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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.

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Observation f9f5e0aa-e96b-4762-b244-07640dc05988 · outbound

This paper cites Sparse Communication for Distributed Gradient Descent.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Sparse Communication for Distributed Gradient Descent

Reference 2

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no resolver link, observed 2026-08-06T16:57:11.458488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:57:11.458488Z digest=sha256:b7e0e1be3137d8ec4d2ebf80c4f7a9b3b7db304802a47608af9e40245c9d4ee7

Observation 42d52f2f-51b1-4258-95d6-246e161bc654 · outbound

This paper cites Bittensor: A peer-to-peer intelligence market, 2023.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Bittensor: A peer-to-peer intelligence market, 2023

Reference 3

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b31e0c05-6acb-4c52-a734-d648df7b9e62 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 4

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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=2026-08-06T16:57:11.658241Z digest=sha256:1c56c5520fc695b60dd7edd5d7141ede768573caa5fb311053f68d87cf4be3e0

Observation 6bc42e88-1e51-4681-96f2-b55bb23245b4 · outbound

This paper cites Aggregathor: Byzantine machine learning via robust gradient aggregation.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Aggregathor: Byzantine machine learning via robust gradient aggregation

Reference 5

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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=2026-08-06T16:57:11.754113Z digest=sha256:5b5d57430e5e1986e56978e10ae23c8bb61eb2ab138f38bdb358df6bd5fcf42c

Observation e4d723bc-74e8-4026-893b-ec5c858a7229 · outbound

This paper cites Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc’Aurelio Ranzato, Arthur Szlam, and Jiajun Shen.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc’Aurelio Ranzato, Arthur Szlam, and Jiajun Shen

Reference 6

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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.

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Observation 5b44960e-fce8-4887-a912-0b6017272ed1 · outbound

This paper cites Secure distributed training at scale.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Secure distributed training at scale

Reference 7

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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=2026-08-06T16:57:11.865260Z digest=sha256:fa23e5ebb55d88b3ac012d9cb033ae2d5a9c6fc216f443279b4d417d9181a417

Observation 1a59730e-23ed-4430-b1b1-2ca7a9903e0e · outbound

This paper cites The llama 3 herd of models, 2024.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release The llama 3 herd of models, 2024

Reference 8

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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=2026-08-06T16:57:11.908248Z digest=sha256:98807991be658e09fdfa28319f3321247049c2229b94c71f2ca551fb9c9028ac

Observation da1f3516-6465-49d8-9111-ff026ae9b4bf · outbound

This paper cites Intellect-1: Decentralised large-model training, 2024.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Intellect-1: Decentralised large-model training, 2024

Reference 9

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f4634134-6b53-4c7d-a76e-64007e00d7de · outbound

This paper cites an unresolved cited work.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 96bff333-4fae-4a72-8327-c94ed92b7df5 · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release The fineweb datasets: Decanting the web for the finest text data at scale

Reference 11

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c5e64996-cdec-4c57-bc51-6884fa5cca97 · outbound

This paper cites Adil, and Esteban La Rocca.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Adil, and Esteban La Rocca

Reference 12

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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.

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Observation 0f4547d1-bf24-4dee-b7b7-4189a342974b · outbound

This paper cites Kakade, and Zaid Harchaoui.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Kakade, and Zaid Harchaoui

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71b63b12-719a-4b3f-9743-58aa076826e4 · outbound

This paper cites Packt Publishing Ltd, 2021.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Packt Publishing Ltd, 2021

Reference 14

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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.

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Observation 2b8acc4a-88a1-4965-b4b9-1215f3ff3bb7 · outbound

This paper cites Swarm parallelism: Training large models can be surprisingly communication-efficient.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Swarm parallelism: Training large models can be surprisingly communication-efficient

Reference 15

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source=pdf_text observed=2026-08-06T16:57:12.472212Z digest=sha256:db9e727f907210fd8bf4608d18727166e9852f546c01c68fc6e3b8d1f13ff0a2

Observation 083e1589-8d20-43be-8348-79c24623ae8b · outbound

This paper cites Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices

Reference 16

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source=pdf_text observed=2026-08-06T16:57:12.475203Z digest=sha256:2ff49088805d25934127b50bf07085b57264cf2bf1c95164aa5aa037d63ea2a6

Observation dc06ebbf-b773-4d23-890b-4bc3b3015f89 · outbound

This paper cites A value for n-person games.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release A value for n-person games

Reference 17

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source=pdf_text observed=2026-08-06T16:57:12.507131Z digest=sha256:5ba0d056bb827bd44c2bbb69144306f5722926f45ffc1badec16b7894b102d04

Observation 19887ad3-cf9b-4dd7-a4e4-1a114169e052 · outbound

This paper cites an unresolved cited work.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4d9106c2-0af7-4e37-9c6c-48d183426f03 · outbound

This paper cites Templar-i: Trustless distributed training for 1b-parameter language models, 2024.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Templar-i: Trustless distributed training for 1b-parameter language models, 2024

Reference 19

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:57:12.593262Z digest=sha256:66487868c48b621022811c4a016980c1cf0c840a022de6cc16755afcd1d15aaa

Observation 8b1fa294-f184-44c3-be86-0c9015742bfc · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Byzantine-robust distributed learning: Towards optimal statistical rates

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bdcdd762-bfd6-4f10-89f4-edb545e29103 · outbound

This paper cites Butterfly mixing: Accelerating incremental-update algorithms on clusters.CoRR, 2013.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Butterfly mixing: Accelerating incremental-update algorithms on clusters.CoRR, 2013

Reference 21

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Observation 82e0bb95-0b03-4028-a988-aa5d0eaf7e7f · outbound

This paper cites , N}be the set of miners in the distributed training system, arranged into layers.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release , N}be the set of miners in the distributed training system, arranged into layers

Reference 22

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:57:12.795420Z digest=sha256:f94f0ea6eea1e0bb11766d3032fe16a01decbb3191913f02ae79fa867e89bdf8

Observation f9845081-d9e3-4682-807e-b432379e73a5 · outbound

This paper cites an unresolved cited work.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6c8e2f3-0039-4ba4-b94b-a34578a37354 · outbound

This paper cites , T} whereπ k is the set of miners that processed samplek, andℓ k is the resulting loss.

Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release , T} whereπ k is the set of miners that processed samplek, andℓ k is the resulting loss

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.