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Paper Citation Record · LEDGER

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.063518Z digest=sha256:a430a24b547c73afd9a88eed5d1beefd6d287eb8ecead6b1c7e1ff609284ad3f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.124824Z digest=sha256:4f76eb7918bd6bdf40c12432854076579af8dc1ec64231e2c17281933c847d97

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.225071Z digest=sha256:ac85473cb2f0674369e63193829745eca03b9fadd05495a5085e5d07256f3ec3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.348552Z digest=sha256:205994470917d6226374133b0a4e345f39ec6ded045a1149e04cd28898678df8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.444174Z digest=sha256:5f2c77ca8cd4f798fc0d9ff01510896b7bae51ac374668441096dd60f55a1cc9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.554662Z digest=sha256:be3872a44b8da5b9c680fb5f90c3dfd26750f83b99425108ba4d3acef78cb8fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.638287Z digest=sha256:18e33706cbeeea0904ab533c08bc20ed7a5d6e8c66a35df769b6364165dd7d2f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.707946Z digest=sha256:291fb079db312982533323293b56d6ca7cde6e78e65fd213c45f93dc768cf85a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.799875Z digest=sha256:257c2110b7a5840d917db6f536e8fe5f1f5bca2a6cf241c07511b72f5c9601e8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.868364Z digest=sha256:d8869253dd949c735eff50b02d0ad8b318546335fbaff6a7e8d2c6cdd6212071

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:23.939694Z digest=sha256:0069815a7146a4bd459ceb7291bbe30feffdbfeaa0d518e0c312772dc928bab9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.035924Z digest=sha256:c12e28904a427bc0c82c775d75482e21df4846637fb78246aec8b83150b15ac4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.153231Z digest=sha256:5789792786a638f7162d2fcff4e1ed67b49385654441fcd97b5e17a9c5f0caca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.246804Z digest=sha256:d2f229166ecb3d9463a3b3742ce92e6c2455f2fff6ce90028d1a67aaa6f83a95

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.333714Z digest=sha256:8e973f501c62c161d2f55bb5b096d3a5336ebaa82dc66ed9e3ef0d4c99441bff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.416557Z digest=sha256:3b34771f6df37a8cd04932ad37d5f918cd4626944a275af3ce7c667394b2bb35

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.482572Z digest=sha256:eceb1b5be09d30d35dac61a47775569897bcc773a8b6060acefcbbee55392f53

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:eebff4e80d6d7ff471ffac4c3abbf8aabde5c32296c7d7be4e79de268498d0be

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.575466Z digest=sha256:c96e219b2ce2a17b6c16147c4de42a97f0e180b7343856893de552098af2ef7f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.647902Z digest=sha256:5580b252743156e3b632285956b313eb2935be032df9e2584114692c67f03a36

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.716170Z digest=sha256:ce1e1e21a4bcc8cb3e56c96d87c731eb4deac40f18c9239d1b26b77cc6f13249

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.765098Z digest=sha256:d0a0eda526a40011fc18096184efa5f5bd4e8706391834faa3e2c7bfb9428f62

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.812599Z digest=sha256:275bf562e51e5ceb339b513abf0412bc171ba5374d439ae16a631c1f3fbcfe91

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.871622Z digest=sha256:3fd719b75bdaa62a1c53990971ab176343d6c166e84e0ed0fc63b0a78a982b07

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:24.929301Z digest=sha256:9a5530ca4ae73bdeaab2f2b6a7976caf2c16a8449dc91f3921f4e45186a81d4f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.009705Z digest=sha256:4f3f55271eb1be280e397d9e4c3687533a9c61bcb96667e08626e61671136c12

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.073295Z digest=sha256:7e4c28909a0c6a64f4ea7db2546caaffcde6dd4ebd0e925f09818f130e234e9b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.135139Z digest=sha256:dc4711146557592ed4e55c4e9f15233e1c5ca09eb85530eceeb2a8a497b23ebd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.203938Z digest=sha256:cd3fe6ee070636291a4587973bf8a9bc96cfead2e8957616ec98599fa9e4e6ee

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.266044Z digest=sha256:da8c7e36fa9755ae10fffc4fdbaadacaa45553618f91bab9a09e545fc2c3b574

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.333730Z digest=sha256:d94a017679a9d5cdd2772911ffe9f5230961e3a35770d2ff5b5f9b6bd7684b92

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.401749Z digest=sha256:0636f9cc9b9faa97d4da99bda8b46104768f71554e3cf2848891a633aa4daf31

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.456412Z digest=sha256:263163aa5428c81d9ecc8fc042052ac356d03ea2c62d13a431b402b495d37a82

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:10:25.524755Z digest=sha256:3d45145d4777a8848495fafd236e00230dfa29808fcc1ca9c536e19049c42c19

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 2026-08-20T06:33:59.587034+00:00.

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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
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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.

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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
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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.

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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
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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.

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
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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.

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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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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.

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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
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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.

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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 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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