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Paper Citation Record · LEDGER

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 4 inbound Pith citation observations for arXiv:2506.22419.

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

pith.paper-citation-record.v1
2506.22419 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:26.307678Z

measured 45 of 45 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:25:39.816721Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ef68c330-fbe1-4189-b150-d0946711f4bd · outbound

This paper cites Consider both creative and practical ideas.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Consider both creative and practical ideas

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:34.889822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.063518Z digest=sha256:2575d5649b46cc46fa0a4fd6d631ad95eaa519d1a29392012f557f69ad29bbd8

Observation 2c7c01d1-46e5-47ec-a432-1dbb696342cb · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:34.712611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.124824Z digest=sha256:c2a177eb8b6abeee5513355606addebb20e56861fa5c94caba8ed63f0c4fb32b

Observation a1fb0bfb-74f4-4604-9cc4-f973a53cd9b3 · outbound

This paper cites I trust you to make good decisions, so do not ask me for permission to make any code changes.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements I trust you to make good decisions, so do not ask me for permission to make any code changes

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:34.538667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.225071Z digest=sha256:95454a7d711fff9f910e5dc8bfe7b329e4fe50817e35b7b403e8fea09071d109

Observation 6c765828-05a7-4d17-ac35-0d43d6834c6e · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:34.361362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.348552Z digest=sha256:b84aa6f88ce8b4d27806b6c24841346c2e8fcc0b7c169bf85fb8c4a439da841b

Observation d2324944-ac71-4e75-aada-031cde08df6b · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:34.187901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.444174Z digest=sha256:6464acd51f337ed0b1b6bd1a1006a0c07da4ba073213a86008b05e3a43d024c6

Observation b892da07-2db9-428d-8177-5bd9424e6f99 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:34.000463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.554662Z digest=sha256:99eb6e094854f8b4b2a9e79675668771a136373bf0f091f7237d895dc1519243

Observation e782e554-c209-498f-b713-37bb24870c37 · outbound

This paper cites Level 2 hint generation prompt Given the current code, changelog, and next code, provide a detailed natural language description of the improvements made.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Level 2 hint generation prompt Given the current code, changelog, and next code, provide a detailed natural language description of the improvements made

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:33.841269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.638287Z digest=sha256:38c885506367b23da6764a33abb85f1a32b4b8104264149282650341efa0044d

Observation 32f2cc76-80f2-452a-9c34-ea7c93a87345 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:33.704241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.707946Z digest=sha256:18aa27df96969c8b01210dc303e93391b117bc8e65243017b52361b4e7586cdd

Observation 3556d527-1f0e-4610-ac21-bdc09c6d8833 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:33.543350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.799875Z digest=sha256:e82950d5bc644d22661ae849f2b1687b97e5c982b32a571b60e8d5b8b291d660

Observation ae756bd9-ebdd-4462-84f0-7b9bff672b4c · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:33.371554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.868364Z digest=sha256:7f57dde96319330afa36cbcd223dc551b843ca520fe2b13ec0764e84cb5ab0dd

Observation b7fe7217-5b1f-4061-8126-8ef6849b3eb7 · outbound

This paper cites 30 Level 3 hint generation prompt Given the current code, changelog, and next code, pseudo codes and text description, generate a formal paper-like summary of the improvements.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements 30 Level 3 hint generation prompt Given the current code, changelog, and next code, pseudo codes and text description, generate a formal paper-like summary of the improvements

Reference 11

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:10:33.221483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:23.939694Z digest=sha256:cb834abb8a8338a077648a751c82d7f5bb2a1f71766cfb618ec6b31ce10d99ff

Observation 2fa41f00-31ff-49ca-957e-80392d0894fe · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:33.055489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.035924Z digest=sha256:d2a0bd0c34d60071966781b9adc9270308848930932aea96a9b782cacfeb999a

Observation 151860b4-907d-43ba-9d31-21d4c3b70495 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:32.910378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.153231Z digest=sha256:08548ebcbd88e183da56a287554edb6b647020cdd618145b7430d82612ee8dce

Observation 91e75e7a-d784-41b8-8f6e-327736d1bad3 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:32.782074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.246804Z digest=sha256:2c0be27f0b800378f96366e279b6ad2aa855e4771c8001c81493afee2aa65d52

Observation 21be2c77-2edf-40f9-ae1f-8bd16ba8ff7d · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:32.491176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.333714Z digest=sha256:8f5600283b00036744df9ca9957f75754c58a704aa1f87f1598663e51d8487de

Observation 9aa45e5a-402b-4164-95f2-06995d76a5e4 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:32.193860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.416557Z digest=sha256:2b129097ae98c6efe804f434299aace0e3698af8f6dbf6ca04cb8114c9543e3d

Observation 6e88f953-cad3-447c-a653-ff0c4bc2614b · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:31.915006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.482572Z digest=sha256:c57a7883525decd03472e5b62438c096627c5db7165cda8152902bc511f7e74b

Observation a237938b-8a27-45c8-befd-83775802303a · outbound

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

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T22:10:24.529827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:10:24.529827Z digest=sha256:6d156df2807024f422b7abd38cc88d373a76f24bf1bda322f3bf8963c79208d2

Observation 25c851ca-c5d4-42c5-ad15-3679634a9c07 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:31.681070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.575466Z digest=sha256:d7b68ad479f26b24dc5cbc9b87d44899db01c0352c052d25afa399b83c16a28a

Observation 315768e0-fbeb-4014-9203-9f6616875f59 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:31.395471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.647902Z digest=sha256:a74e6d63ec32baadbe4807156b5dbe80b06de8676785ee5e26186ab1d53da81e

Observation 9f91ae06-fb0a-42d0-b261-b554a9374b5f · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:31.120828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.716170Z digest=sha256:18cc44b083eb0a8434e6dbaeef1f761a6383af1049c2c8627366911e5342ef15

Observation fc0c13b8-4460-4817-b6de-ed8deb37f729 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:30.859780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.765098Z digest=sha256:c07ead0670ea3f80be9dce3feaac0db7062398855cba2d281b8e7f7de8f70f79

Observation f27d5909-21f8-4f2f-8c07-778296c23348 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:30.642869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.812599Z digest=sha256:a774b578e1f30a8d3974bc1bc4a8373ae50e7a266afd6419429d7597cd1f86e1

Observation 3b603881-dd62-4278-a572-be9b3c5211b7 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:30.347248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.871622Z digest=sha256:95e8ec4f1443ef5b069fd933a9953f797661e34f6aa1f8a0a745bd24089a8fbc

Observation fde11861-4108-4507-86ef-170b1c3023b5 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:30.186562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:24.929301Z digest=sha256:1391affe7b70c9b1ac6dd10f950f922b5eb8555b23b06098b642f0a7af4f0751

Observation f056e03f-b582-4a61-811f-e5ad4ab12370 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:30.034753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.009705Z digest=sha256:8bec9cf403f97b71a1cbfd9c63259ce6ad17e7c26e6e2e1f99c5386e199d9c87

Observation cb7c10cf-d0fe-43a2-a77b-8faa70c680c6 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:29.876777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.073295Z digest=sha256:880496e9b62c820b70167ef06045f040093f6187459b293864caa06734c058e2

Observation 62a7fe16-7511-4013-84eb-a1309e22ca61 · outbound

This paper cites Our modifications require minimal code changes while achieving 5B token convergence equivalent to baseline 10B token performance.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Our modifications require minimal code changes while achieving 5B token convergence equivalent to baseline 10B token performance

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:29.706265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.135139Z digest=sha256:94393282bac86879263a416f6f8dd015bbe58f20a720260216e412c58ae64f3d

Observation 298434f6-7134-4192-b735-3ff5bb172fa1 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:29.525019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.203938Z digest=sha256:639b2b757173e4bbd4b2a898ff660f3b65cba039e77019d72f8431f0604e3603

Observation dd1c972f-40ef-4cc7-b924-ef7423c9b06a · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:29.345309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.266044Z digest=sha256:83e25af18f863922ff6976605ce901916ac22d114eb7a04bc9a09f274dbd6535

Observation 44d3e601-a9e0-4887-946c-00a585f6d88a · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:29.210616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.333730Z digest=sha256:88f674290b6acf351a4aa8f9f4a8155b87e586a6d70954c3ea52cf73e84af46e

Observation 4ba32774-b25e-4009-8cd9-c79c045b2d43 · outbound

This paper cites Methodology ### 2.1 Rotary Position Encoding Traditional approaches concatenate positional embeddings to token embeddings.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Methodology ### 2.1 Rotary Position Encoding Traditional approaches concatenate positional embeddings to token embeddings

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:29.042061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.401749Z digest=sha256:850de626a39893d6a7b72b869fd7347ce615a8df38f1cd6f7ce57d69cde1cacf

Observation 9b678762-30e0-4749-8c62-feeaa5dac082 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:28.888127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.456412Z digest=sha256:27b38ee17d6ad4947948f8a828653278c8ced1038da138b0bf9d4e17c3c468bd

Observation f642248e-d235-4a01-8b43-60df2d159a95 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:28.721285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.524755Z digest=sha256:5b375f7b1b98b3e5427be94aec3bed40f9f2e7d75a231fdcd05527ca28d678bb

Observation bafc83e6-e025-4fbc-a70c-811a29da37d1 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:28.464178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:10:25.606273Z digest=sha256:81924caaa7ad63c14d61d9c493b52ea8f26b084419f6cd627f64b2d232992e28

Observation 60238ea6-2b29-4cbc-8d5d-2fb39044bffd · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:28.129955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb2cc67e-74a8-4869-afb2-2d33397b5baa · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:27.797722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a4f8d59d-d266-4186-98e6-c5d6ad28eb69 · outbound

This paper cites Implementation Details ### 4.1 Critical Code Changes Core modifications from baseline implementation: ‘‘‘python # Additions class Rotary(nn.Module):.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Implementation Details ### 4.1 Critical Code Changes Core modifications from baseline implementation: ‘‘‘python # Additions class Rotary(nn.Module):

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:10:27.481307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6b8896be-035c-4d01-a816-b744074fc905 · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:10:27.259542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 33a996bd-f716-4e77-87f7-76a70e1a794c · outbound

This paper cites an unresolved cited work.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Unresolved cited work

Reference 40

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9f2036b4-70af-4710-a98f-d5b7d972d12a · outbound

This paper cites Our results suggest that careful component co-design remains crucial for efficient large model training.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Our results suggest that careful component co-design remains crucial for efficient large model training

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

Observation 42d1ed8e-193b-4050-adaf-b11dc069e03c · inbound

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design cites this paper.

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

Reference 37

Resolution
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arxiv_id, observed 2026-05-20T18:58:53.838508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b8357966-cb94-4292-b8d8-44847eae559c · inbound

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement cites this paper.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

Reference 169

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b2e2449-9181-457e-8d5a-a561f9258e10 · inbound

A-Evolve-Training: Autonomous Post-Training of a 30B Model cites this paper.

A-Evolve-Training: Autonomous Post-Training of a 30B Model The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

Reference 2

Resolution
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arxiv_id, observed 2026-07-03T05:27:40.447908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:11:39.591538Z digest=sha256:2ea9990e34229b07f8e4bf0a62d4eb97cef429e22ee549f40db29258e9579b57

Observation 5ad5ec6b-29f7-425c-b6e3-044dbecd29ae · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:39.816721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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