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Paper Citation Record · LEDGER

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.063518Z digest=sha256:e27c8d78e7437a902ef8ee1df1a5fc8cfa57200f9fecd9c6cfd45fc5dd194e7a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.124824Z digest=sha256:d13af3f169a5e74273f28a52e67288358fe48b6d8fb1b93af1b0c1c3447a8c49

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.225071Z digest=sha256:3ac7c06277698709376041c1c4aba1cd357d02787a01c11fdaf870fcb2a17e60

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.348552Z digest=sha256:6fa3c514ac33a8f0482fe8c20fba2188823b7902edefdc8ae4504773d915e8d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.444174Z digest=sha256:7a59904eb941d98cd95ac6beac9f8bcbd11e7107a800d76c290ef4e8aaf59b8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.554662Z digest=sha256:727bbb814f4d353536654a2ee3b27dc6aac858859fc785d4ff3a48e71cd82aca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.638287Z digest=sha256:b5c03dc825a0d32ba27099670848defa9e5cb12deb48a82916ff42fa276b4192

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.707946Z digest=sha256:66b8660fb10c4d3e96e2a12ff595a90d9ead916bfece400a9e9c98ba2a1f5455

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.799875Z digest=sha256:5a095423e174e5d419c2f4af8e965c4378cad6626715905beb4e39d58aaefd57

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.868364Z digest=sha256:26ca85c3b9772ddaf7985ef25d7adce8ea7bd0a2ce6da43517cb8f8e4ead2f2f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:23.939694Z digest=sha256:04aff4eed37ec7d817a915eea4251ac3a16d58b59eced0a5d692f7d2a70d503b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.035924Z digest=sha256:ed3ee90293555ed963833ede3d7a293516956481690c5a6bd19ee6b6c7dc73c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.153231Z digest=sha256:940fc2f4a20f00bad6f887b001263d148b7ed2641ef06394cf506e2bb06daa51

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.246804Z digest=sha256:410826f0ce639c49ee2cdc11d1e6c9be363391f693c6c9227c638811fcd79e4e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.333714Z digest=sha256:f2ecfde372cc9b47a1ed956992d7e0b4d0ec4422259b43748c5b0dd7ab700008

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.416557Z digest=sha256:6d40dc31b8615f916300214d8a7a676b57f89c4de704da46eb1e9ae0db3a8651

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.482572Z digest=sha256:1646e5d76903cc0aeffc479aa7902ec11c5e2283280004d25af406c7c14c070a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.575466Z digest=sha256:15a5651b982a7c4e0cd70e26882eb8c5fbc75b24a5be41b35ad9a3a48ad3d1a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.647902Z digest=sha256:bf679d4459b99fd2578656f58ef98339233deef6b06a2491e9c29264897728d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.716170Z digest=sha256:fc35477b414e9e3b3fce448965ff75824902481b53acddaaf0f98d495552f80a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.765098Z digest=sha256:bd1923e09c84125dd4942f943e4830a6635914025e148b98d988f7f5df23e117

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.812599Z digest=sha256:d33b387848935a4add754cfd9e45d3009951d50fc28aa0ca17f033f2386806e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.871622Z digest=sha256:7f00a69f9e775171dd47c8e5eeb4d696ad4af06058283a782801f078068c7295

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:24.929301Z digest=sha256:ef756871e51b940691a6364dae97787f66a351b25feffc926c8cc43c573f60b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.009705Z digest=sha256:744b57b6c877cefd49ed998a2be38199e6a258472b853eb7c3556f4393c3a533

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.073295Z digest=sha256:fbd4ac2c0a120e7ae326d518ef6594cc7da43491f52e94876f31d0e8dffc36b3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.135139Z digest=sha256:ccaa00c044f50bb620802503836cad0d20b238874fe73e662fa35e205f443de9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.203938Z digest=sha256:566e9d84bb5ed496edd3f9f4907c3e2ea0a34fc6c30f2ad39d2ee07a6ba67537

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.266044Z digest=sha256:c363f77f073fcfda96f6c724e6b14fa885f31944981a9590dca060605fe3a35f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.333730Z digest=sha256:3788dd780cdfcda0d1e69bcbaf6254c25f0be8e35ec3e62ccc226a940eb5ed73

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.401749Z digest=sha256:7d3a0cf775a89024b43245cc8d4e8dd627ec62407889793c9ccf83fdf81ee3a4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.456412Z digest=sha256:5e71d02ec36d578f30b7588d5b7822f6e577b12c5ebb573ed1dc3971569a5a27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.524755Z digest=sha256:7a05dc78bbeefa743b83161945e139dd69578447f04862ecfbdcef6f1a8b4064

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.606273Z digest=sha256:73baf7a042f8b72cc4cbc77ce66a38a0d33afe4f211e9d6e89cba75fed52e416

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.662566Z digest=sha256:67dc549391d51da678f191130136086c9bf0c5d4258fde6df2f82d2f655ef19b

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:25.820591Z digest=sha256:06805b38902ef1c7956159a4f95ad1ee64d0542dbecf2eda73f065728cb8a45d

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 2026-08-07T06:34:17.273281+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
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 2026-08-07T06:34:17.273281+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
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:10:26.307678Z digest=sha256:72c21402661859cd004dd21205ef55aa62892cb80c57f1889c74cb8096fda57e

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 2026-08-07T06:34:17.273281+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
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
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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