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Paper Citation Record · LEDGER

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.063518Z digest=sha256:5bf4a216b726d30a2347484084c8fc42a2ecee9bc756d45c96a49f5204515e97

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.124824Z digest=sha256:62bf443a4f5aca4fff936883f44a32d59efbc1e688e9c507edaed63a0c31a5c9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.225071Z digest=sha256:c38eae40971a7bf307849df6d6b26bf66c64b90e78b3cff35deb8aac74fcf4f0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.348552Z digest=sha256:fb945f9b90d6841cbc46d91076b263787a58921c28d8e0fc1e4d81464d5861ae

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.444174Z digest=sha256:4bc79d530560ad4e1258b0a16e66111f384d4d286ecdd07440dd122a461a8ac3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.554662Z digest=sha256:2835cd025be611cb1935af64b23396d7a0d0f6fcb6a4dcbfc2e828e240a3ebc7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.638287Z digest=sha256:3611b8e7c33bb43371ccc635fd6a4ba232c0db9853f0d0598b9e314f1da1787a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.707946Z digest=sha256:f955ad135e24febd352567c536b99d01b04dc18e04cc8563bcb90185fce048c8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.799875Z digest=sha256:5a99e4977497a6dd4c199d967edd9eaeb7dda843de26cedaf1d98b6fed2a7c1e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.868364Z digest=sha256:9711017b5e56892ed96c882e5139c1c55f625b6b338c229e6afa8efb145bdc92

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:23.939694Z digest=sha256:827f94f60e07eb957038e9c14771eb66820e53948470a0155ee6cac13e74d563

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.035924Z digest=sha256:b87028ef66ce53565ff7ec75c60d59193c98eadef78b0d87759252ae43ea1584

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.153231Z digest=sha256:b1b777ac42132447fa80c91d5a99e34b8c0e90dfe92258b24b46092bc1f2b839

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.246804Z digest=sha256:4f458e882c1d6468a7bec4edb35b7eada68f87c8a8d5d0fb863131863dd7bf2e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.333714Z digest=sha256:1542f6cd56f729e7e580e623f9b38edb76ec6c132ac04953fd460cea8d1fdde2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.416557Z digest=sha256:d269f05913c0156abe99c88b0bc342c1a9e59e041e348b014e6486a2f240bc34

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.482572Z digest=sha256:ea42e1ac64c120daabc21cdb6bb79d3ccdddc2ff43bcc8932dde3409ec38f70d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.575466Z digest=sha256:094ac4dbc0faa73de11965f0e235efad2e8460d5abddaa0014a0276f43437ac2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.647902Z digest=sha256:9e0f4d625f2d5416db256351816999ceff42273be6d5a7c0ed33055fe6d75d13

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.716170Z digest=sha256:6ca99953b0e7f0301b0d3fd04efabc92f9409febdc78870c48881cc1263c0147

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.765098Z digest=sha256:32d58a8a0b2fa7fc948e1adfe53e286f0190745155051e6a31322046751f3450

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.812599Z digest=sha256:34ccbdb47920903efb3f8083136be135e81b4c6a1677d363ca3a8235b0796c26

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.871622Z digest=sha256:c741103466fffed6f0953c05271e29b17459c0a816b6bbb5bdc5bfb9d07a0256

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:24.929301Z digest=sha256:ee39b90347a1afd533fe17e7a844241fc96674efb4a598a631d6d4fb6d208598

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.009705Z digest=sha256:88d38343fee251dd1fdeb8fe19f55c634cd2f928858964c7ec3f0cc56b28fe32

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.073295Z digest=sha256:31832e1fe5f35de62ea75b87b131937394db5b6904eaf62e0222e78eb5b9ba92

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.135139Z digest=sha256:44fea6c04f8f93a0a3e0a940aacadff41266e78ed0baa666bb6a30c6a44b34c6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.203938Z digest=sha256:7c98a3ebac2e7656ba80f12afbadce63e31b06e8f0205376c2d0811694d6292d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.266044Z digest=sha256:ba7dfbb187b3f3e3bf42c7441eb284ed0f80365217d903696142c9ed118179fb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.333730Z digest=sha256:a4a77da6ee3224d9a2ed3de245e70e51ef05b1e2946622331f281146b3f15b39

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.401749Z digest=sha256:c27c46fd8a05848b8bbe7615ce25ed5462150157aacbf74ff69674511f9c9235

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.456412Z digest=sha256:dc0af62e6555cf2a85a40a9ca378486f413c7560e4b0d1154a2b786b37ab65c4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.524755Z digest=sha256:6f167334482dae2d0451f72eaae86057303c6eff0c3d2f39101776a019f2474e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.606273Z digest=sha256:9551088d9bf78bfad1c4ea76b35353a18ca847969cfed8a926f90e85c04a5fa0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.662566Z digest=sha256:faa64a24f51e02bccf79dca730d6b6c4ac4c1d3edbabf50618d0b7b2028d0288

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.699373Z digest=sha256:7e218630a9a26951dc69d5ae827c3293e938e5f802079c7741c79473abab4908

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:25.820591Z digest=sha256:efdc960c1e6b8f56fc9cc2e05f3d74dba1b98fde958512eda54aa2357d22c130

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:26.001759Z digest=sha256:2519eeb5e74b70e4a0e0d17b221774ea2f651ae8b2e586c159e1d2dd014e0efd

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
raw_fallback, observed 2026-08-06T22:10:26.990546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:26.152345Z digest=sha256:16d6b90f8f6d948b140d5bdcfd4ac14a15ef992caa0e4509f83a99eb5e44332f

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
raw_fallback, observed 2026-08-06T22:10:26.661850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:10:26.307678Z digest=sha256:b36610c77a53141c24a6ab39f12b1bda2ee2eba1001916c7a1d630362a844ba9

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
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-20T18:58:11.197587Z digest=sha256:2be2938a94ffe1a47958d4252d666ad53434f4518afe4c05400fe16370d1bf6a

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
arxiv_id, observed 2026-06-27T09:40:47.000467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+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
metadata mismatch
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T13:11:39.591538Z digest=sha256:3bd60d12446252327aa2715667f88b7812b3ca1d4c83d0ae38c98df1d1923b9d

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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