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Paper Citation Record · LEDGER

Large-Scale Diverse Synthesis for Mid-Training

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2508.01326.

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

pith.paper-citation-record.v1
2508.01326 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:43:18.024397Z

measured 41 of 41 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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79f74fa5-0bab-43ff-89a0-0a7ae353169f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Large-Scale Diverse Synthesis for Mid-Training , " * write output.state after.block = add.period write newline

Reference 1

Resolution
verified fuzzy
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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 238770c2-8263-473a-8bba-c26e5679cf65 · outbound

This paper cites write newline.

Large-Scale Diverse Synthesis for Mid-Training write newline

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.422442Z digest=sha256:1a0dc42eb6b5d5188294eb061ffb87e0449c048e30dd054c8c3fe299b8033544

Observation 9e5bab42-a23e-44bf-944f-50ce343cc649 · outbound

This paper cites N.; Prabhumoye, S.; Kamalu, J.; Satheesh, S.; Nyberg, E.; Patwary, M.; Shoeybi, M.; and Catanzaro, B.

Large-Scale Diverse Synthesis for Mid-Training N.; Prabhumoye, S.; Kamalu, J.; Satheesh, S.; Nyberg, E.; Patwary, M.; Shoeybi, M.; and Catanzaro, B

Reference 3

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verified fuzzy
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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 29e46cb3-a30b-4891-9524-db88a30b211b · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-06T05:43:18.586528Z

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=arxiv_source observed=2026-08-06T05:43:17.579043Z digest=sha256:c6281304ea7fd167bbac29685babfd6e68aee1940612dc48da75160f5c158660

Observation 8d97e217-668a-438d-a088-235ffe50bccf · outbound

This paper cites RedStone: Curating General, Code, Math, and QA Data for Large Language Models.

Large-Scale Diverse Synthesis for Mid-Training RedStone: Curating General, Code, Math, and QA Data for Large Language Models

Reference 5

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no resolver link, observed 2026-08-06T05:43:17.640566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.640566Z digest=sha256:5c3dd4ee32711609a91399f012dd40811c816fef4e45b6a8db301428b7b12674

Observation 2a0e962a-676b-4797-9264-0dcfbf07fd6e · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

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 2f91434f-8a57-4d9c-83fd-41f878210c2b · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-06T05:43:18.559055Z

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 d7b96382-4e1a-441c-aa44-526c7f023338 · outbound

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

Large-Scale Diverse Synthesis for Mid-Training Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.823503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.823503Z digest=sha256:bcc03183fb6f532c8cde0dc09baf630f7bc72bd21ca72c450f72bfbb2de2edb0

Observation 2eb8152f-108e-4392-a0dc-b5be12bc7bca · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Large-Scale Diverse Synthesis for Mid-Training Training Verifiers to Solve Math Word Problems

Reference 9

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no resolver link, observed 2026-08-06T05:43:17.888607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.888607Z digest=sha256:f7cb25abcc4ead5119dda4aafc2ac2bc77e9283c6536949db5e9fddad33d8c20

Observation 94130791-ad55-4b46-8fc3-11f79e64938c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large-Scale Diverse Synthesis for Mid-Training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.893589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 798ad934-d7c9-4064-9149-9b34d17a4d4a · outbound

This paper cites DeepSeek-V3 Technical Report.

Large-Scale Diverse Synthesis for Mid-Training DeepSeek-V3 Technical Report

Reference 11

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unresolved
no resolver link, observed 2026-08-06T05:43:17.898223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b88cce04-2a42-44bf-bdce-c69ae18453a2 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 12

Resolution
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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 3954e2c4-4191-4b82-b739-10bedbcb7dd1 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.530087Z

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 4b4f2355-7925-436a-9b2f-f3a8c24f7e6c · outbound

This paper cites The Llama 3 Herd of Models.

Large-Scale Diverse Synthesis for Mid-Training The Llama 3 Herd of Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.910572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.910572Z digest=sha256:3bee9cfbf1fabb05fa1335e181f4561781f59206403d66b83717935d6b6c38bd

Observation f511d552-bd24-4782-9a4a-b08555bb82c5 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Large-Scale Diverse Synthesis for Mid-Training The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 15

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unresolved
no resolver link, observed 2026-08-06T05:43:17.914725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.914725Z digest=sha256:d6aa7d2cda7ef60e113ed8d46d25fd888c3a363c366ca01b15ffe4c4dff5ec79

Observation d00723b9-be49-4940-8242-d058bb237439 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T05:43:18.516510Z

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=arxiv_source observed=2026-08-06T05:43:17.918721Z digest=sha256:9f07025809de421d5f07e102112ba6652c36e61cf12ab3408ad15af7ff6e404f

Observation 575892e0-359d-40dd-b333-bcc903e1e1d8 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Large-Scale Diverse Synthesis for Mid-Training Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 17

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unresolved
no resolver link, observed 2026-08-06T05:43:17.922492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.922492Z digest=sha256:c246be7efa745bc8a29ed4293c957d3c1d062a229cff2dd0d4581981f757d1c2

Observation 7828b917-7e2f-4526-a1ee-06409f66c56c · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.502761Z

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 882d6aa5-b514-4ff6-916e-25259a582ed1 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.489195Z

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 9bd46dfb-6d4d-4465-a2cc-448b5e8ec37a · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.935176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d03ad7b-ffcd-471e-bb32-83a0a7d0b5ba · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T05:43:18.466401Z

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 bf66800d-414c-4af9-84df-1344cc3aa1a7 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.453309Z

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 d51bbd73-88a5-4dfb-a563-9ffe0b73e5ce · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 23

Resolution
unresolved
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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=arxiv_source observed=2026-08-06T05:43:17.948408Z digest=sha256:86c43a43a6b30479ae09aac0fb2ebbc22fdaecc5a32667cf3c200c9f44180ae2

Observation eac285e1-0e6a-4f85-b88a-864c4d52ffd5 · outbound

This paper cites Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering.

Large-Scale Diverse Synthesis for Mid-Training Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering

Reference 24

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unresolved
no resolver link, observed 2026-08-06T05:43:17.952226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bd068ed-e8d0-4e4d-a3a4-0dcafb48e84c · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.426274Z

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 3bfe9d6a-1785-4ad3-b534-3ecadf902b39 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.412569Z

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 a28123b8-e427-4432-b22d-cd957093d1eb · outbound

This paper cites 2 OLMo 2 Furious.

Large-Scale Diverse Synthesis for Mid-Training 2 OLMo 2 Furious

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.964372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d71aaed-b70c-4a6c-aaeb-70cc9479450e · outbound

This paper cites Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models.

Large-Scale Diverse Synthesis for Mid-Training Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.970063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.970063Z digest=sha256:299529390ea25ba8ad958ca092d450a60cd3995feefdf7e350dd002699aeb9ed

Observation e4b6e2b6-38f2-47de-8da8-0f683a3a5134 · outbound

This paper cites B.; Lozhkov, A.; Mitchell, M.; Raffel, C.; Werra, L.

Large-Scale Diverse Synthesis for Mid-Training B.; Lozhkov, A.; Mitchell, M.; Raffel, C.; Werra, L

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:43:18.398730Z

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=arxiv_source observed=2026-08-06T05:43:17.974303Z digest=sha256:75aa4a542750850723dbc05a89345ec147e23109d7ee21ddc654f9f0aacf24a1

Observation 720d3af0-3d1e-44c5-ab21-cbe5cbceb286 · outbound

This paper cites Qwen2.5 Technical Report.

Large-Scale Diverse Synthesis for Mid-Training Qwen2.5 Technical Report

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.978339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.978339Z digest=sha256:f71eca627c8815f0813c537649a84315aa903bed6feb595fb0e5a634215e601e

Observation a9ac494f-86dc-4e8a-a95b-453d4b15543d · outbound

This paper cites L.; Bhagavatula, C.; and Choi, Y.

Large-Scale Diverse Synthesis for Mid-Training L.; Bhagavatula, C.; and Choi, Y

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:43:18.384264Z

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=arxiv_source observed=2026-08-06T05:43:17.982796Z digest=sha256:3a1e1cc67104fc3eed06c642c3a26befd7d8e53beee1f23512d7119656fb8157

Observation 013bde94-6e2a-44fc-b76e-ac1784dccc79 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Large-Scale Diverse Synthesis for Mid-Training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:17.986876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:17.986876Z digest=sha256:44ae42d197d3160e763f9ac5fef2afef7c3668a290dc35dfd7c1b80a34f8cf68

Observation f81ddd4f-f546-4d01-a1af-0bbfc0ea46af · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 33

Resolution
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raw_fallback, observed 2026-08-06T05:43:18.368512Z

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 ce633c39-22b8-4fb6-af8e-6e92ac03464a · outbound

This paper cites W.; Chowdhery, A.; Le, Q.; Chi, E.; Zhou, D.; and Wei, J.

Large-Scale Diverse Synthesis for Mid-Training W.; Chowdhery, A.; Le, Q.; Chi, E.; Zhou, D.; and Wei, J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:43:18.353426Z

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=arxiv_source observed=2026-08-06T05:43:17.995256Z digest=sha256:b0e20f37f553b69478c4429d2a2b904d5a78affa0e82f5cb95a5e9a4f533af4a

Observation 3a423114-7fff-40da-b277-1841b106b7a9 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 35

Resolution
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raw_fallback, observed 2026-08-06T05:43:18.340107Z

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 b8317bc3-54de-4590-a75c-37df5c60a5d1 · outbound

This paper cites OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling.

Large-Scale Diverse Synthesis for Mid-Training OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:18.003368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c50b4ce-6913-49bb-bd78-272b1bea094a · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.326735Z

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 425bb079-e8d5-4c07-9ed9-92cf4d07d082 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.313760Z

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=arxiv_source observed=2026-08-06T05:43:18.011444Z digest=sha256:da005e81d67ff791199eb24bcaf65485c49405419beba8aeba6b77b48e203d42

Observation e920973b-26f2-43ad-99d9-a0c335afcac7 · outbound

This paper cites MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Large-Scale Diverse Synthesis for Mid-Training MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:18.015462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:18.015462Z digest=sha256:7566b835c802451225351b53a4c30f208cc00f250bb79294e2e7eba041527fbd

Observation 0463f911-4d86-4bbf-a55b-5f8430854840 · outbound

This paper cites MegaMath: Pushing the Limits of Open Math Corpora.

Large-Scale Diverse Synthesis for Mid-Training MegaMath: Pushing the Limits of Open Math Corpora

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T05:43:18.020122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:43:18.020122Z digest=sha256:5d1de1c61684efdbe1c862a667b1f03733e57c2853a124800297d091270333ee

Observation 0f9da73d-cd69-40b9-a3a1-12fb1fe31b38 · outbound

This paper cites an unresolved cited work.

Large-Scale Diverse Synthesis for Mid-Training Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:43:18.299584Z

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=arxiv_source observed=2026-08-06T05:43:18.024397Z digest=sha256:2c9641ff8541f11d241e6946aff0cc79a7d67bcd7c925b5e0115119edbe96f3f

Pith citing papers

No inbound Pith citation observations are available.