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Paper Citation Record · LEDGER

INTELLECT-1 Technical Report

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 22 inbound Pith citation observations for arXiv:2412.01152.

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

pith.paper-citation-record.v1
2412.01152 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:44:26.632495Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:29:48.050061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.416301Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e16ce2b7-7222-49ed-86b1-bc70a5e10427 · outbound

This paper cites The Falcon Series of Open Language Models.

INTELLECT-1 Technical Report The Falcon Series of Open Language Models

Reference 1

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no resolver link, observed 2026-08-12T04:44:26.330290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.330290Z digest=sha256:61114e8464e59d526b54ed26a29c0ec60e3f0b9523ad1f2bb318ef20e3e5151a

Observation 6e556908-6440-4c19-acf9-f37d65e53c9e · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

INTELLECT-1 Technical Report Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 2

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source=arxiv_source observed=2026-08-12T04:44:26.335963Z digest=sha256:2418c94cd7a38d9336df1f12076734ffa4c4337da07ee72af88d59404c51ccd9

Observation 7f46a8e3-a593-4628-aaf6-1b5da985ea54 · outbound

This paper cites Training transformers together, 2022.

INTELLECT-1 Technical Report Training transformers together, 2022

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T04:44:27.252064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T04:44:26.341309Z digest=sha256:61dcbd22246f528c5d507b7f9a86a3633ce987d8e12ef0445e246035e46c64a5

Observation 3640ed7d-7e59-44a9-93de-7265a0694d2b · outbound

This paper cites an unresolved cited work.

INTELLECT-1 Technical Report Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.346829Z digest=sha256:f205c58f98e8f6352e604b923901c8f551e002bae896a1f02938ff3b694d683c

Observation 2a53eb3f-d3df-4508-b00b-d9a165015518 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

INTELLECT-1 Technical Report PaLM: Scaling Language Modeling with Pathways

Reference 5

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source=arxiv_source observed=2026-08-12T04:44:26.351984Z digest=sha256:4ac1c776308389800285a59054a80689a5ca965b81cb4f603a7c4d2369b79b21

Observation 8b5e729b-a343-44d1-8575-79559155ab6b · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

INTELLECT-1 Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

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no resolver link, observed 2026-08-12T04:44:26.357028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.357028Z digest=sha256:800cffa56bf8648d019ea89b8b619cde8633320d8d71287555cb333ec67abf37

Observation 6663b45d-cc13-4467-aff5-5036473ecdf7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

INTELLECT-1 Technical Report Training Verifiers to Solve Math Word Problems

Reference 7

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no resolver link, observed 2026-08-12T04:44:26.363218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.363218Z digest=sha256:9b8bb0e8c9ad4df3e211ad47846fb82ef97aa74e15013497b34ca7a732144a0e

Observation 305ae1dd-3463-44fd-a570-0cc0990e9aef · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

INTELLECT-1 Technical Report LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.367995Z digest=sha256:bc8aa1f01e1aaf687126d716186f4797c4a61132904b4b6929a93995e62ab236

Observation 57b941ce-30be-4889-828a-10a67275ac7e · outbound

This paper cites Distributed deep learning in open collaborations.

INTELLECT-1 Technical Report Distributed deep learning in open collaborations

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T04:44:27.227474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T04:44:26.373603Z digest=sha256:e049cee779311050ed1117bd956715c9189ea50505def67fb91117eb4a0712a4

Observation 1cf412a7-5472-452d-a3cd-5238a62f440d · outbound

This paper cites DiLoCo: Distributed Low-Communication Training of Language Models.

INTELLECT-1 Technical Report DiLoCo: Distributed Low-Communication Training of Language Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.378365Z digest=sha256:70f1d6d904d4d5dc7ef233ed12b01d5722ccdb153a98e70d6019b196e6197055

Observation 3302db31-084f-4566-af84-7092fcd75c07 · outbound

This paper cites A framework for few-shot language model evaluation, 07 2024.

INTELLECT-1 Technical Report A framework for few-shot language model evaluation, 07 2024

Reference 11

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source=arxiv_source observed=2026-08-12T04:44:26.383159Z digest=sha256:8b986046dd15921eaa6102b5764b1142dfd3d91bf3f8441caa38368952553e38

Observation 726cf6ac-7e64-45c2-b9a4-8b17ef450b48 · outbound

This paper cites The Llama 3 Herd of Models.

INTELLECT-1 Technical Report The Llama 3 Herd of Models

Reference 12

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no resolver link, observed 2026-08-12T04:44:26.387922Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:44:26.387922Z digest=sha256:91fa6c8f452f8413f13f3636844470f0de8f877ab944954629e8b6e8a789f764

Observation 6c4f123b-dbb8-42ad-b82c-6b6ec7752a76 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

INTELLECT-1 Technical Report Measuring Massive Multitask Language Understanding

Reference 13

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no resolver link, observed 2026-08-12T04:44:26.393134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.393134Z digest=sha256:b3afda179cca0388f8383da3020bf72e36273c3a9fe161a71b74a7d30d668e5c

Observation 4912248d-357f-4082-a29c-8c9bb19db3b5 · outbound

This paper cites Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

INTELLECT-1 Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 14

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no resolver link, observed 2026-08-12T04:44:26.398063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.398063Z digest=sha256:a14f413b76efeb6a90fe142c2fd358f933a1abdeba05e920aca5eac9a12c85e5

Observation 0080cbca-d52b-4fcc-b1bd-87af8c1496f6 · outbound

This paper cites OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training.

INTELLECT-1 Technical Report OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.402655Z digest=sha256:fa81b032a1e980926201172337b4d7e2ab6c94c290f8c8ad7373af540ed89ed3

Observation 3aba1d35-98e6-42a4-859a-3b3a1fd3576a · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

INTELLECT-1 Technical Report The Stack: 3 TB of permissively licensed source code

Reference 16

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no resolver link, observed 2026-08-12T04:44:26.407182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.407182Z digest=sha256:66fdf89196d1ceb1cf65aed6fbe5ab04e4686983ebb117015344409de022a5b9

Observation b3a8c0a0-d286-4f9f-8434-f67e104cb51a · outbound

This paper cites Scaling Laws for Precision.

INTELLECT-1 Technical Report Scaling Laws for Precision

Reference 17

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no resolver link, observed 2026-08-12T04:44:26.411789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.411789Z digest=sha256:8d3f9c9e702f68ab5e9fac824d2c41342573c14b6db685636c62c6842fdc43bf

Observation 047f1fcc-a374-4e4b-b26c-b1dfcc6b67b7 · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

INTELLECT-1 Technical Report DataComp-LM: In search of the next generation of training sets for language models

Reference 18

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no resolver link, observed 2026-08-12T04:44:26.415907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.415907Z digest=sha256:99d8be72c5a3a69b7a189db23a29d6dbc8f986d5e6bf4c0602f9a7798e838d35

Observation 3c80d454-47c7-4bf4-a1fb-f91c26b6cdc1 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

INTELLECT-1 Technical Report TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 19

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no resolver link, observed 2026-08-12T04:44:26.422715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.422715Z digest=sha256:5616979bd1d47a23adb2b3c6b393c5633722944aa052e63ee75de0a77b904bdc

Observation 095c3d4f-4a40-4ab4-b3e6-ae616f6480ea · outbound

This paper cites LLM360: Towards Fully Transparent Open-Source LLMs.

INTELLECT-1 Technical Report LLM360: Towards Fully Transparent Open-Source LLMs

Reference 20

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no resolver link, observed 2026-08-12T04:44:26.427908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.427908Z digest=sha256:45ecb6ecadccccbe5cbede3af7132b7c9be0ce087f913519428617fe81d2888a

Observation 7ce7b2cc-9e58-4201-aa15-2476c0577046 · outbound

This paper cites Gpt-4 technical report, 2023.

INTELLECT-1 Technical Report Gpt-4 technical report, 2023

Reference 21

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no resolver link, observed 2026-08-12T04:44:26.432668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.432668Z digest=sha256:4fea04e17eaafc3e2ac3a3ffad09e319bd3397715679abd120f916a01bf38fa1

Observation a1c72543-e576-4f61-8d01-dad83156d5c1 · outbound

This paper cites Leela chess zero, 2019.

INTELLECT-1 Technical Report Leela chess zero, 2019

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-12T04:44:27.202979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T04:44:26.436964Z digest=sha256:a54748f4b78e1eee650fdaedd0d05f92631863160369072aecf48286e60b7cb1

Observation 3cfaf4a5-943d-4625-a11c-c27726785937 · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

INTELLECT-1 Technical Report OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 23

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no resolver link, observed 2026-08-12T04:44:26.441427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.441427Z digest=sha256:a4db0f549bede477dc00e5289cf507536ccd4e06cdfe61207aa6a38fdf5438bb

Observation 735c9f9d-7b71-4c48-8455-ab6433d1dda0 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

INTELLECT-1 Technical Report The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 24

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no resolver link, observed 2026-08-12T04:44:26.446448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.446448Z digest=sha256:80d4b87c932c19be0a291fb42906db6dd874d503b17d51d1099340eaf8d2cbce

Observation 2af48f03-ed1c-4ae2-9cf7-466733ee94f8 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

INTELLECT-1 Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 25

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no resolver link, observed 2026-08-12T04:44:26.450991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.450991Z digest=sha256:4f42a190deccf2f64a6e95f4299507ad6ec6446ad50fdc2a368a9195a5c6bb40

Observation 3b67e8ed-5c09-4195-8f03-bea6d4699be8 · outbound

This paper cites Towards crowdsourced training of large neural networks using decentralized mixture-of-experts.

INTELLECT-1 Technical Report Towards crowdsourced training of large neural networks using decentralized mixture-of-experts

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-12T04:44:27.189066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T04:44:26.455789Z digest=sha256:4a60da9c4b200e0a1f45d4cfd2f0e8fff2a6af579aad81b4deed17db7082c895

Observation 1024b99f-526d-4d9d-a3b8-f852da6cf834 · outbound

This paper cites H ivemind: D ecentralized D eep L earning in P y T orch, April 2020.

INTELLECT-1 Technical Report H ivemind: D ecentralized D eep L earning in P y T orch, April 2020

Reference 27

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no resolver link, observed 2026-08-12T04:44:26.580640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.580640Z digest=sha256:2345bf49c7a300582fe163f2e39ad7816c8a29011b681f1767ac8cab5a1e1e2b

Observation d3cd067d-6807-427c-a61e-e5a1da6e1bda · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

INTELLECT-1 Technical Report WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 28

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unresolved
no resolver link, observed 2026-08-12T04:44:26.585377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.585377Z digest=sha256:96edc9fe355e1deb3b3e6aac5f9a42a67641a1b5fae6daa55752f2b3a40e9b4f

Observation 2ceed525-f7b6-4d11-97b5-280580caa53c · outbound

This paper cites an unresolved cited work.

INTELLECT-1 Technical Report Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-12T04:44:26.590236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.590236Z digest=sha256:0121f9b2a4e1091a2ac5178c35dd72ef6ab1e271d93599c328b758470a124c59

Observation 4e2ee037-24a5-499c-8b7d-106542d005ee · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

INTELLECT-1 Technical Report Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 30

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no resolver link, observed 2026-08-12T04:44:26.595005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.595005Z digest=sha256:d2b56f6d90c7fbde5ac52fcdd435eb9499d5ebba1d593b0e19f0c46455cc47f5

Observation 363d1842-38a9-4004-9647-8c13b55b6c49 · outbound

This paper cites Introducing mpt-7b: A new standard for open-source, commercially usable llms, 2023.

INTELLECT-1 Technical Report Introducing mpt-7b: A new standard for open-source, commercially usable llms, 2023

Reference 31

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no resolver link, observed 2026-08-12T04:44:26.599360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.599360Z digest=sha256:5711c2ae6e4adcf3ae2e781db6625f293fdd4a431dd879954543a801a4fb5f67

Observation 4ddc1069-3507-4116-972d-6c6c254b6c1f · outbound

This paper cites Optimization of collective communication operations in mpich.

INTELLECT-1 Technical Report Optimization of collective communication operations in mpich

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-12T04:44:27.145140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-12T04:44:26.603439Z digest=sha256:7e49aebaf216a14e7a4f4111a9404f85689b94223fec84775cc62096e736cf9b

Observation 01a3b866-8dd3-49e0-8375-07000d047a1a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

INTELLECT-1 Technical Report LLaMA: Open and Efficient Foundation Language Models

Reference 33

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no resolver link, observed 2026-08-12T04:44:26.608777Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.608777Z digest=sha256:cb2a586c3e442c88c9eb0df7c9cc8c22d6702a4f0b4cd91e56ac4a3f77f9726b

Observation 22b20ed6-fada-404d-ad39-1b4fef084754 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

INTELLECT-1 Technical Report Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

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no resolver link, observed 2026-08-12T04:44:26.613582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.613582Z digest=sha256:7dabcbaf296bd6138c41e7f1a89813719cc65958c437087bc87c7957edec2953

Observation c41807a4-f241-4019-b65a-6495fde08ec4 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

INTELLECT-1 Technical Report Baichuan 2: Open Large-scale Language Models

Reference 35

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unresolved
no resolver link, observed 2026-08-12T04:44:26.618549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.618549Z digest=sha256:7258c12c2dfddd2d3c7c1e3a9068f7740b4a8ee89c0cc3e245bcdca640b70734

Observation cb2fa389-7193-4478-b565-ac6e2432cf12 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

INTELLECT-1 Technical Report HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 36

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unresolved
no resolver link, observed 2026-08-12T04:44:26.623266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.623266Z digest=sha256:1e1161683e2d34c8bc1dc7ee275b642d660c60b1ec398af5cfc8574af0c7828b

Observation 2cdc0a44-7b20-4474-9359-82c23df7e8c8 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

INTELLECT-1 Technical Report PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 37

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no resolver link, observed 2026-08-12T04:44:26.628082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.628082Z digest=sha256:205f2e0975cce5bbe738a50f0c000d455de996dfcf5ec61a6056c1597f9b6d1e

Observation b05237ab-3d5e-4f48-a5c1-23885805df73 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

INTELLECT-1 Technical Report Instruction-Following Evaluation for Large Language Models

Reference 38

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no resolver link, observed 2026-08-12T04:44:26.632495Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:26.632495Z digest=sha256:196a28d0187716ce907ad40a32e27222d020371d19d5a068c82f294d9197903d

Pith citing papers

Observation e17e634f-83da-4f55-89f2-c76d3ae07215 · inbound

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate cites this paper.

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate INTELLECT-1 Technical Report

Reference 59

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source=pdf_text observed=2026-08-10T12:29:48.050061Z digest=sha256:c132a193980216d454cfaee551cf0000ee443b9eb5eabeaff7c2d27edcd07143

Observation 5b58efab-50a0-4ed4-9dda-6b0bbddb1c07 · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch INTELLECT-1 Technical Report

Reference 18

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source=pdf_text observed=2026-08-09T23:17:19.760557Z digest=sha256:bdadd14ce7cf3fd1839c4d465701021a8326df04dec444bfa77050158592f16d

Observation faaed0ed-f10b-403d-8154-f9f5530ced33 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence INTELLECT-1 Technical Report

Reference 54

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arxiv_id, observed 2026-05-22T15:34:57.726613Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:5959f94e310f55b1cee9a6f776d465cc626f911267b3104e85e12c46582de214

Observation a6668398-4f49-4ea9-a6f7-572b6afab45a · inbound

Prime Collective Communications Library -- Technical Report cites this paper.

Prime Collective Communications Library -- Technical Report INTELLECT-1 Technical Report

Reference 5

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source=arxiv_source observed=2026-08-07T15:45:01.040578Z digest=sha256:b76a3ff1d9a23cb68163afcd10ace49ce4c510ea34675d6dcf789a10a2ff7309

Observation 00911ebd-df77-41b9-9f9b-f5f8253a9625 · inbound

Incentivizing Permissionless Distributed Learning of LLMs cites this paper.

Incentivizing Permissionless Distributed Learning of LLMs INTELLECT-1 Technical Report

Reference 6

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source=pdf_text observed=2026-08-07T13:30:19.364823Z digest=sha256:8aa761f49c70abf5898fd3b6be0fcf5b6904826a6046f484e00620c63a06046b

Observation 4b21ee67-4582-411c-addc-45a3bf24a7fe · inbound

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

MuLoCo: Muon is a practical inner optimizer for DiLoCo INTELLECT-1 Technical Report

Reference 19

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no resolver link, observed 2026-08-07T12:45:26.900794Z

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source=arxiv_source observed=2026-08-07T12:45:26.900794Z digest=sha256:42e9ff27174f9a7bc4496dea41cc32ee1e6004d11dcb348b244fdb921b87fd9f

Observation 3374d221-5816-47ef-83dd-ecb16684645c · inbound

NoLoCo: No-all-reduce Low Communication Training Method for Large Models cites this paper.

NoLoCo: No-all-reduce Low Communication Training Method for Large Models INTELLECT-1 Technical Report

Reference 12

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source=pdf_text observed=2026-08-07T04:20:02.210179Z digest=sha256:580b41317434fa6698b09878321efa72a0b497402153eb10afe1c5a5d32f6381

Observation 195eaabb-d4b2-442c-b067-97413a77223e · inbound

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning cites this paper.

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning INTELLECT-1 Technical Report

Reference 39

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arxiv_id, observed 2026-05-19T05:42:06.099167Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T05:39:53.088948Z digest=sha256:7bbf3497716807702756d6d829f0912ce03b84fdc8cc94ab3c1cb9b6efb33fce

Observation 07a44ee0-e93c-4d4c-9d71-4a30b70a4ca8 · inbound

DICE: Data Influence Cascade in Decentralized Learning cites this paper.

DICE: Data Influence Cascade in Decentralized Learning INTELLECT-1 Technical Report

Reference 18

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source=pdf_text observed=2026-08-06T19:00:01.481770Z digest=sha256:ced02b02b9d91c32842e51596832ef7f079601caf3cf91ce81ac88d990e0ce1f

Observation 7a71f022-6493-413d-b924-f86804f953bc · inbound

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape cites this paper.

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape INTELLECT-1 Technical Report

Reference 16

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source=arxiv_source observed=2026-08-06T18:37:46.302248Z digest=sha256:7358e6b174eaf0af89dad877a37a8232918c5a5f4531031c7e93b228efbdfe8d

Observation 6fd544a5-b38c-48c9-acec-fb8161a9432c · inbound

Compute Requirements for Algorithmic Innovation in Frontier AI Models cites this paper.

Compute Requirements for Algorithmic Innovation in Frontier AI Models INTELLECT-1 Technical Report

Reference 25

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source=arxiv_source observed=2026-08-06T17:52:50.376961Z digest=sha256:fc690cbf79ee28cdb96222164b634479f8443742c0418a304d944eed658ed9e0

Observation 63df926d-8e53-4189-88e7-22d9e4ffa8e5 · inbound

Overcoming the Communication-Performance Tradeoff in LLM Pretraining cites this paper.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report

Reference 8

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source=pdf_text observed=2026-08-05T17:50:42.768010Z digest=sha256:9189f81cfd0fb4a608683921f0553bdad8c9c9a35e3d11d4520b7ad8899b881f

Observation e163af05-5ad3-4b11-9034-c2322da03950 · inbound

Overcoming the Communication-Performance Tradeoff in LLM Pretraining cites this paper.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report

Reference 2022

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source=pdf_text observed=2026-08-05T17:50:42.668228Z digest=sha256:e944ea67d2f20a571d6b3f79307819aaaa6f9406e15b2ff8222669e1cea7eee3

Observation 647c8c9a-07b9-4908-a2a5-e37755e586de · inbound

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models cites this paper.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models INTELLECT-1 Technical Report

Reference 11

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source=pdf_text observed=2026-08-04T22:56:05.180826Z digest=sha256:36b223d6d31a41d37f7859b13e91869db854d16aa6ee68d737c08ac5f8df45e0

Observation 34e76acd-4b2f-4c0b-a9d1-b1c781910ed1 · inbound

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning cites this paper.

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning INTELLECT-1 Technical Report

Reference 5

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arxiv_id, observed 2026-07-01T21:16:14.065730Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T17:22:36.503465Z digest=sha256:5ac1f50dac020c3c715322ac3dc101dd5e3e074d569d194e4d1a8357ad22b197

Observation 985c4fc3-02a0-44e9-997a-8e30db86c681 · inbound

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models cites this paper.

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models INTELLECT-1 Technical Report

Reference 44

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arxiv_id, observed 2026-07-03T11:28:04.431492Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T09:34:02.484344Z digest=sha256:1889df00d3c3d6acc42e4a477a53dea10b9580dbdadfc45102d635888317ee7e

Observation ab925268-e317-4233-a56e-ee827934545f · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain INTELLECT-1 Technical Report

Reference 90

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arxiv_id, observed 2026-07-04T17:40:00.417773Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-25T23:32:43.585170Z digest=sha256:f3c63289779c0868823db9c7b3436124338788a9fa42d9cb10940feb0aa28c61

Observation 2d469e1d-4c0b-4743-8b6e-15df9c522b53 · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain INTELLECT-1 Technical Report

Reference 25

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source=arxiv_source observed=2026-07-12T12:29:35.403453Z digest=sha256:e0462ad198b5442fd554b2fa50cc96ee815b3f02abb380e250dc2b7f66a273a5

Observation 037c166a-20dd-4130-a804-44adab04a24a · inbound

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing cites this paper.

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing INTELLECT-1 Technical Report

Reference 12

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arxiv_id, observed 2026-07-02T19:07:17.225982Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T19:05:59.651008Z digest=sha256:28cd4ad3d7b032e8230cd59e1441fae79e7e2e24a55c9cb41639e85e06685b04

Observation bf4ff253-9c99-413e-92ae-c7b20e10f294 · inbound

Can Model Merging Improve Aggregation in DiLoCo? cites this paper.

Can Model Merging Improve Aggregation in DiLoCo? INTELLECT-1 Technical Report

Reference 14

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source=pdf_text observed=2026-07-12T05:28:12.811678Z digest=sha256:466ec5b326eca98b658abbb5e9bd980625d98e217374de9c7020686c7b602d59

Observation 7aedcfdd-a57b-4403-afd6-fa849777268f · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers INTELLECT-1 Technical Report

Reference 22

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source=arxiv_source observed=2026-07-11T13:03:39.236118Z digest=sha256:4155a73218032ae71e11aba2bdc8a1bd8084b76da9fd23e75122d628260051e1

Observation b32fbf9f-afa9-4c10-916d-278015236b0d · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers INTELLECT-1 Technical Report

Reference 22

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no resolver link, observed 2026-07-14T16:21:05.570023Z

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fc34a13da81a43fc493013e47cdfc448ab62c3572922d6af4747a05102d8c91b