Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T04:42:23.297389Z
Paper Citation Record · LEDGER
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
As of 4 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 100 inbound Pith citation observations for arXiv:2407.21787.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:26:48.727277Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
72 of 72 outbound references displayed
- verified exact31
- verified fuzzy27
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch13
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 27233742-e9e2-4cfa-98d0-c81cce0eeaab · outbound
This paper cites URL https://aide.dev/.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling URL https://aide.dev/
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.871398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1f44d38-59ef-4b16-9ccd-5d47cf4bf556 · outbound
This paper cites URL https://openai.com/index/hello-gpt-4o/.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling URL https://openai.com/index/hello-gpt-4o/
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.708148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08fec5c2-02c0-4ecc-a838-540fbfea8aa2 · outbound
This paper cites URL https://llama.meta.com/llama3/.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling URL https://llama.meta.com/llama3/
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.722600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7325199c-bc25-4002-9ff2-35249ebed8a2 · outbound
This paper cites URL https://www.anthropic.com/news/claude-3-5-sonnet.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling URL https://www.anthropic.com/news/claude-3-5-sonnet
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.727549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d7cd5e0-b5fc-4d58-ae8b-f33972ac3ed9 · outbound
This paper cites URL https://www.voyageai.com/.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling URL https://www.voyageai.com/
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.736137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c8c871b-8641-46e0-85a3-6b05dc617ffa · outbound
This paper cites Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.420509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8a696795-29ca-43b9-90df-6f4f604664e2 · outbound
This paper cites Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.746504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f134d4fa-c9fa-47d6-85ad-9b4e1d10a85a · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Graph of thoughts: Solving elaborate problems with large language models
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-12T04:42:23.375350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da70201d-24aa-4715-8de9-378e10adaadd · outbound
This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:45:18.440424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4c5aef6-61ef-4bff-b197-96d5c293eb73 · outbound
This paper cites Combining deep reinforcement learning and search for imperfect-information games.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Combining deep reinforcement learning and search for imperfect-information games
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.751010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 582ab912-b458-467e-ad4c-96140659d62d · outbound
This paper cites Language Models are Few-Shot Learners.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Language Models are Few-Shot Learners
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.444167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34bb5a55-519a-43c5-96e2-cc5d5b084b7b · outbound
This paper cites Joseph Hoane, and Feng-hsiung Hsu.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Joseph Hoane, and Feng-hsiung Hsu
Reference 12
- Resolution
- verified exact
- doi, observed 2026-05-12T04:42:23.367091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c4267d61-6e44-4fc7-94a5-1df37d6e5ae4 · outbound
This paper cites Alphamath almost zero: process supervision without process.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Alphamath almost zero: process supervision without process
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.755974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b029715-fff4-48f2-87ca-856b43c04d58 · outbound
This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.543515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 619aa561-5dc1-42cf-a232-beee1f382ec0 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Evaluating Large Language Models Trained on Code
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.548883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9af9498-2482-48a3-8745-11939eec7125 · outbound
This paper cites On the Measure of Intelligence.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling On the Measure of Intelligence
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T13:05:34.620543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 990b57c7-234f-4dd3-9fa1-83cf929dd8ae · outbound
This paper cites Deep reinforcement learning from human preferences.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Deep reinforcement learning from human preferences
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T08:39:30.882444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7c8b051-b78e-4d45-9ec6-ba2ffe1cbbbc · outbound
This paper cites Training verifiers to solve math word problems.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Training verifiers to solve math word problems
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.760891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c5e77a22-8b4c-46c3-a73f-8ee1be81ca7b · outbound
This paper cites Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.628892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb955237-bea3-4771-8cdc-eb959617063a · outbound
This paper cites Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.765990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 005f53ae-eaf7-4265-a08f-0735f7ea5834 · outbound
This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.429350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c84654f-d75a-47cd-8aa2-cb568f4b4995 · outbound
This paper cites The efficiency misnomer.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling The efficiency misnomer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.770477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40c98204-705a-43f8-b35d-3da9cbc0ab7a · outbound
This paper cites The Efficiency Misnomer.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling The Efficiency Misnomer
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.474874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08bf5002-f9a5-4eed-9e4b-db0f62825fcf · outbound
This paper cites Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, and Asaf Yehudai.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, and Asaf Yehudai
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.491752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a413215-68ef-4e6d-b353-b6e4cc1108be · outbound
This paper cites Geting 50 https://www.lesswrong.com/posts/Rdwui3wHxCeKb7feK/ getting-50-sota-on-arc-agi-with-gpt-4o.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Geting 50 https://www.lesswrong.com/posts/Rdwui3wHxCeKb7feK/ getting-50-sota-on-arc-agi-with-gpt-4o
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.775094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89b2fca0-f944-4b4e-86d9-7e9ac1e4e989 · outbound
This paper cites The Larger the Better? Improved LLM Code-Generation via Budget Reallocation.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling The Larger the Better? Improved LLM Code-Generation via Budget Reallocation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.537684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd01a28a-301b-406c-a835-3454908d0eab · outbound
This paper cites Measuring coding challenge competence with apps.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Measuring coding challenge competence with apps
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.780136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f82f70ab-9b4d-49dd-9ff7-939374f92038 · outbound
This paper cites Measuring mathematical problem solving with the math dataset.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Measuring mathematical problem solving with the math dataset
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.784276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3873cbdb-4939-4500-aae7-480e71fe766b · outbound
This paper cites Mostofa Ali Patwary, Yang Yang, and Yanqi Zhou.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Mostofa Ali Patwary, Yang Yang, and Yanqi Zhou
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.788962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78da744d-cec9-4b0f-b7c1-f004df70c50c · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Deep Learning Scaling is Predictable, Empirically
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.557841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c9edd13-1fe8-477a-ba4c-7433b7a29ae9 · outbound
This paper cites Training Compute-Optimal Large Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Training Compute-Optimal Large Language Models
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:42:23.571168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6dd5db9-7e0c-4dad-97a9-4de650848cb4 · outbound
This paper cites V-star: Training verifiers for self-taught reasoners.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling V-star: Training verifiers for self-taught reasoners
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.793110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fcb9b52d-5477-42a5-a5db-c6ed9ff68ddb · outbound
This paper cites Rewarding Chatbots for Real-World Engagement with Millions of Users.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Rewarding Chatbots for Real-World Engagement with Millions of Users
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.587540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 906c4d2c-0195-49fb-8b93-d3d0fdb74bd5 · outbound
This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.593082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c791fc3-0823-42ca-8d3b-bd9275cecf11 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:42:23.600970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dc063724-65c3-4aab-a2e4-22e068acc4e7 · outbound
This paper cites Scaling Scaling Laws with Board Games.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Scaling Scaling Laws with Board Games
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.606185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7378c09-19ef-4bdd-99d8-7d21e8faacae · outbound
This paper cites Hydragen: High-Throughput LLM Inference with Shared Prefixes.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Hydragen: High-Throughput LLM Inference with Shared Prefixes
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.616982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4708dbdc-8bcd-46ee-90a5-8d546fdd66ea · outbound
This paper cites MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.622981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 418720fa-9fb0-403c-8026-c22c0f5a026a · outbound
This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.798207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b23daed-7a9f-4d1d-b18e-e7a63b1848e5 · outbound
This paper cites Scaling Laws for Neural Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Scaling Laws for Neural Language Models
Reference 40
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:42:23.635204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f57cd5a6-0851-4c65-8114-dfe3b94d10b8 · outbound
This paper cites SPoC: Search-based Pseudocode to Code.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling SPoC: Search-based Pseudocode to Code
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.641199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e18d30e-ca71-4006-9aee-08aee0e67ace · outbound
This paper cites Smith, and Hannaneh Hajishirzi.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Smith, and Hannaneh Hajishirzi
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.801833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ee246bc-cae0-441f-ae14-6643ce1e4bee · outbound
This paper cites Solving Quantitative Reasoning Problems with Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Solving Quantitative Reasoning Problems with Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T22:43:59.458883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7fd96d8-6b0c-4925-9d60-385f6149c8da · outbound
This paper cites Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-12T04:42:23.397341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 396392a0-64e1-42a3-bc51-24bf37865744 · outbound
This paper cites Let’s verify step by step.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Let’s verify step by step
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.812195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5bcdb42-3fa1-489a-a787-e5ced658c044 · outbound
This paper cites Self-Refine: Iterative Refinement with Self-Feedback.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Self-Refine: Iterative Refinement with Self-Feedback
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.662757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec3f0d04-9d96-4e9c-9107-db6685cfe820 · outbound
This paper cites When is the consistent prediction likely to be a correct prediction?.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling When is the consistent prediction likely to be a correct prediction?
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.669724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2401578f-0e00-4b1b-a4a8-f8a50b94b024 · outbound
This paper cites RouteLLM: Learning to Route LLMs with Preference Data.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling RouteLLM: Learning to Route LLMs with Preference Data
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:42:23.676472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0cfef5dc-e60d-426e-aee2-612ee72c6aec · outbound
This paper cites GPT-4 Technical Report.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling GPT-4 Technical Report
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.684418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f4d05e1-8a63-44f4-800e-1d4e2bf0024e · outbound
This paper cites Language models are unsupervised multitask learners.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Language models are unsupervised multitask learners
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.818408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c2eea49-a0c9-4b0b-9e79-1e7156325b7c · outbound
This paper cites Code llama: Open foundation models for code.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Code llama: Open foundation models for code
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.826458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46de6551-32f9-4611-8465-4fe5e5c7fd8d · outbound
This paper cites Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.438171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22427f68-1841-4011-b528-f736c187ac8f · outbound
This paper cites Mastering chess and shogi by self-play with a general reinforcement learning algorithm.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Mastering chess and shogi by self-play with a general reinforcement learning algorithm
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.831559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77c12347-f8b1-4204-aee5-3b194378bfd0 · outbound
This paper cites The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.449917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7aaba7c9-ef36-45fa-a898-5fffde48efb4 · outbound
This paper cites Gemma: Open Models Based on Gemini Research and Technology.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Gemma: Open Models Based on Gemini Research and Technology
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.454784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6411e33-2113-43d8-80a9-6fa6f905d9d9 · outbound
This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.462705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea476788-27b4-4f39-a17d-9b3ffb843222 · outbound
This paper cites Trinh, Yuhuai Wu, Quoc V.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Trinh, Yuhuai Wu, Quoc V
Reference 57
- Resolution
- verified exact
- doi, observed 2026-05-12T04:42:23.361347Z
Source-reported events for the cited work
correction dated 2024-02-23. Source: crossref record 10.1038/s41586-024-07115-7->10.1038/s41586-023-06747-5:correction, observed 2026-07-11T03:09:49.232535+00:00. This notice travels one citation hop only.
Observation 8105cc0c-ad39-4461-ab4d-ddfc277f6e07 · outbound
This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J
Reference 58
- Resolution
- verified exact
- doi, observed 2026-05-12T04:42:23.354126Z
Source-reported events for the cited work
correction dated 2020-03-04. Source: crossref record 10.1038/s41592-020-0772-5->10.1038/s41592-019-0686-2:correction, observed 2026-07-11T03:08:19.430942+00:00. This notice travels one citation hop only.
Observation e2c54041-1b64-4c12-a1db-edcbf0ae80ea · outbound
This paper cites Knowledge Fusion of Large Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Knowledge Fusion of Large Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.469399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63ebb482-6473-41ce-9756-7a13dd0c6761 · outbound
This paper cites Interpretable preferences via multi-objective reward modeling and mixture-of-experts.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Interpretable preferences via multi-objective reward modeling and mixture-of-experts
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.839355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8cc6bb3d-74c1-4984-8a86-23c4236730fb · outbound
This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Mixture-of-Agents Enhances Large Language Model Capabilities
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:29:34.516338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 547f3617-3513-4e83-80f6-0519d104b7b0 · outbound
This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:34:16.071337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc68a623-0d48-4664-a54f-44b9cc843aa4 · outbound
This paper cites Self-consistency improves chain of thought reasoning in language models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Self-consistency improves chain of thought reasoning in language models
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.844463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 408a4309-6ebc-4d16-96a1-a62ee6373ff4 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Chain-of-thought prompting elicits reasoning in large language models
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.854457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 87ff9e92-0c87-4170-8373-b0949ac41250 · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling ReAct: Synergizing Reasoning and Acting in Language Models
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:42:23.497100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f5d7f8f-e551-4568-b5bf-0ca358eb6a81 · outbound
This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 66
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:42:23.503564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2c7a2eb-02f6-4831-97d2-5c9bbb2f5cfd · outbound
This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:45:05.263509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77d8e953-1827-493a-b3c5-c86f53b0cfd3 · outbound
This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:03:04.481585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2611a68e-8f2e-4ccf-8031-76d4f7472c8f · outbound
This paper cites SGLang: Efficient Execution of Structured Language Model Programs.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling SGLang: Efficient Execution of Structured Language Model Programs
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:20:01.305558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a046ff29-7186-4fc4-ab29-08baf5fc3eeb · outbound
This paper cites Moatless tools.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Moatless tools
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.859295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d97f8be6-bc12-468c-b3aa-16b8b33a5822 · outbound
This paper cites an unresolved cited work.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T04:42:23.866228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e742818e-88de-4de9-b141-87ad08f6e89a · outbound
This paper cites In order to avoid leaking information about how to solve the theorem from its name, we replace the name of the theorem with theorem_i.
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling In order to avoid leaking information about how to solve the theorem from its name, we replace the name of the theorem with theorem_i
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T04:42:23.700716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 38ac9a5b-c39f-47c9-9dea-bd142309e795 · inbound
CHESS: Contextual Harnessing for Efficient SQL Synthesis cites this paper.
CHESS: Contextual Harnessing for Efficient SQL Synthesis Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T11:24:22.871939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78ccfddf-94c0-4904-86b4-29391ecc23a4 · inbound
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents cites this paper.
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T09:42:04.438573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a1c049f-1c98-44dc-bebb-8b9b14308e8b · inbound
Test-Time Alignment via Hypothesis Reweighting cites this paper.
Test-Time Alignment via Hypothesis Reweighting Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T06:57:40.521764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e02fa68a-bea8-412d-ae82-21615863d09c · inbound
Training Software Engineering Agents and Verifiers with SWE-Gym cites this paper.
Training Software Engineering Agents and Verifiers with SWE-Gym Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
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- local_arxiv, observed 2026-05-18T05:20:40.547823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation afdf5663-32e6-4087-a5a3-52335bf41784 · inbound
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.284994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c855f7d-bda9-4723-81ba-38eea980c9b5 · inbound
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps cites this paper.
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:45:17.534131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95c0549f-7c96-4e10-b2c0-9317dc870a4d · inbound
LIMO: Less is More for Reasoning cites this paper.
LIMO: Less is More for Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 300
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:11:37.433307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45b2a91c-5c90-4986-9026-190a6e4c4f2c · inbound
KernelBench: Can LLMs Write Efficient GPU Kernels? cites this paper.
KernelBench: Can LLMs Write Efficient GPU Kernels? Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T16:55:02.056758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9e0604b-7a8f-4299-bb0e-f76cd839d51c · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:40:41.231662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8806c47c-1293-408d-aeb7-56ed79f389bf · inbound
A Survey of Scaling in Large Language Model Reasoning cites this paper.
A Survey of Scaling in Large Language Model Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:22:09.405178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0df56234-770f-4480-a32b-20e782abdcbc · inbound
Reinforcement Learning from Human Feedback cites this paper.
Reinforcement Learning from Human Feedback Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 158
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T19:32:00.997065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47a895d9-b95b-4eca-88bf-993bbd877579 · inbound
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:01:38.259150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a0120f73-d4ed-493e-ac01-4e36f8328191 · inbound
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T23:30:46.154852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf8b2405-ace2-4d95-b09a-5b51c72c19b4 · inbound
MUR: Momentum Uncertainty guided Reasoning for Large Language Models cites this paper.
MUR: Momentum Uncertainty guided Reasoning for Large Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T03:37:01.282526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29dc9182-7726-4091-a3d3-27e7ffb53b99 · inbound
Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs cites this paper.
Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T21:16:50.917612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e511bb59-7b58-467d-9946-63fc080edb5c · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:02:24.990480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d076c677-f83b-4c5c-881a-3780e57bf923 · inbound
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models cites this paper.
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T17:56:42.118255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b0abb2a-cf8e-409f-b150-3c045c92995f · inbound
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T13:58:58.785856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6fd22b96-fc10-4b38-99a6-3e155764ca5c · inbound
Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.
Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T14:26:28.250453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 10f8765e-cbc9-49be-a9ae-60a4f5158b05 · inbound
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling cites this paper.
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:26:48.727277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd5b6225-4158-4808-8cb7-a59f9e2faa64 · inbound
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity cites this paper.
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:23:15.338387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6448d16-2513-4886-a021-2069f652941f · inbound
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:06:13.935739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4467aa03-d89a-4cbe-a786-a69d2ce13618 · inbound
Verifier-free Test-Time Sampling for Vision-Language-Action Models cites this paper.
Verifier-free Test-Time Sampling for Vision-Language-Action Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:20:11.793665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56deccb5-b120-4d26-b2fb-e935d48405da · inbound
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models cites this paper.
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:20:58.247638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f60fb71-058a-46b4-b824-08f01e08b757 · inbound
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling cites this paper.
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T06:30:59.534435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 62879cc6-03b5-4ef5-a491-8335c944821a · inbound
Online In-Context Distillation for Low-Resource Vision Language Models cites this paper.
Online In-Context Distillation for Low-Resource Vision Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:40:55.938579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3155b484-d3d6-4f13-9fd1-b30a2f9a2bf6 · inbound
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cites this paper.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:30:55.104414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56393672-9b42-44c7-b541-9d79aa696f0c · inbound
Test-time reward-guided alignment of language models by importance sampling on pre-logit space cites this paper.
Test-time reward-guided alignment of language models by importance sampling on pre-logit space Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:23:56.355587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 608ec409-2c5b-440b-9db0-3c0dca7e880f · inbound
Boosting Reasoning in Large Multimodal Models via Activation Replay cites this paper.
Boosting Reasoning in Large Multimodal Models via Activation Replay Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T05:09:04.022004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a959d8dc-371b-4eaf-9045-0cc92350fdd8 · inbound
When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers cites this paper.
When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T03:08:56.609424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c5669f28-ac3e-47bc-b2dc-143aec6542e0 · inbound
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) cites this paper.
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:05:16.719942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27410b20-48b6-40ac-be67-0e610e3bf4a4 · inbound
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T10:40:51.380692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 07d9e39a-6b7a-4190-b771-e3ae3af75e56 · inbound
Quantum Circuit Generation via test-time learning with large language models cites this paper.
Quantum Circuit Generation via test-time learning with large language models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:02:37.808045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0680ac6b-997a-4865-b503-12e2880a56b0 · inbound
UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching cites this paper.
UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:44:07.199803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57b51591-3107-47f4-aa48-85ae14a2c6fa · inbound
Learning Self-Correction in Vision-Language Models via Rollout Augmentation cites this paper.
Learning Self-Correction in Vision-Language Models via Rollout Augmentation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:21:13.836456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dccd669-0ad9-4187-a9b4-839631256ee6 · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1952
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:04:43.301388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28f36b6c-47a4-484a-8758-80322b7c40bb · inbound
Efficient Reasoning on the Edge cites this paper.
Efficient Reasoning on the Edge Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:28:12.790404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17b97f1c-07b8-469b-bcc1-a98c7385023b · inbound
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood cites this paper.
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:39:08.710653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf7f79f-f1aa-4665-b6f0-3b8b17d30b3f · inbound
Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3 cites this paper.
Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3 Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T21:43:00.817493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77c1b623-db83-4944-9705-b465edb63b7f · inbound
Beyond Resolution Rates: Behavioral Drivers of Coding Agent Success and Failure cites this paper.
Beyond Resolution Rates: Behavioral Drivers of Coding Agent Success and Failure Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:33:16.470385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 308d31df-aaf2-4d81-b378-3aaff320362c · inbound
User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation cites this paper.
User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T17:28:02.579228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99aef33a-29e5-46fb-bc67-74f8f8ce572e · inbound
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation cites this paper.
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T12:00:02.401705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b67500c-1941-4499-9f6e-e181e8525835 · inbound
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation cites this paper.
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T19:54:08.600196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31a637e0-9c57-4c8c-9a87-bda3dcdae844 · inbound
NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures cites this paper.
NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T10:38:11.981408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32fc1e19-a630-478d-a197-0f7b082d88bc · inbound
Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows cites this paper.
Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T12:30:00.219955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc4ff782-9677-4f31-9994-3891ebe39212 · inbound
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1ce9458f-11f1-4b7f-8686-07c95446b432 · inbound
Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization cites this paper.
Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 605c0a8e-af7a-4ca1-8687-b52306e85234 · inbound
Does RL Expand the Capability Boundary of LLM Agents? A PASS@(k,T) Analysis cites this paper.
Does RL Expand the Capability Boundary of LLM Agents? A PASS@(k,T) Analysis Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 64097ce3-b95d-4556-bbb3-488369b1428f · inbound
Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.
Generalization in LLM Problem Solving: The Case of the Shortest Path Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be582e88-0179-447b-bd2d-8ff2c2af6939 · inbound
Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.
Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8ff64d7-89c7-4291-92ef-27bdd8c13dac · inbound
Characterizing Model-Native Skills cites this paper.
Characterizing Model-Native Skills Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 92
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98968f63-ff56-4606-9d98-e810c0cc8a2b · inbound
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08c59f07-4256-4cff-9239-6b413d11ccf7 · inbound
Evaluation-driven Scaling for Scientific Discovery cites this paper.
Evaluation-driven Scaling for Scientific Discovery Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a22f4059-571a-400f-a5cc-14fff9ec0f5f · inbound
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations cites this paper.
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b20ff34-b072-465c-9406-9b0a593dfc88 · inbound
Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data cites this paper.
Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7265e842-3b1d-4b8f-a11a-805e35a62da3 · inbound
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T07:27:29.030185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 410ec51e-f73f-4e76-95af-182fdd31f0bd · inbound
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:05:36.312186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8023d7c5-623e-4bd9-8c1a-cec06b5bb72e · inbound
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling cites this paper.
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90dc27af-41c8-4635-ae12-27e362ea1df1 · inbound
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling cites this paper.
The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T02:17:06.617272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0a01fca9-3de4-479d-9c90-19662e9c06e3 · inbound
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 138
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8d89a0db-29e9-447b-acf6-4dc613ddc45c · inbound
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T00:05:09.681731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3f937544-49b7-4511-9e97-22064581c88c · inbound
Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference cites this paper.
Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a98ca04-b7f7-4d6b-962a-19d0daea27ca · inbound
Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference cites this paper.
Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a7ed87e-f42a-4b0c-b924-fa369785ad70 · inbound
Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals cites this paper.
Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7c8e287-d759-4007-915a-610a8a642a3a · inbound
Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals cites this paper.
Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T06:45:10.867621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4470974a-34f7-43ee-b112-b21e7bfb9516 · inbound
StoryAlign: Evaluating and Training Reward Models for Story Generation cites this paper.
StoryAlign: Evaluating and Training Reward Models for Story Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e7b6905-c191-49dc-b33a-6a8a3182f230 · inbound
When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation cites this paper.
When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac33e29e-38dd-4316-8955-6eb77df12aee · inbound
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning cites this paper.
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83cdb0f9-6b8b-40a4-968a-6688b1af6000 · inbound
Joint Consistency: A Unified Test-Time Aggregation Framework via Energy Minimization cites this paper.
Joint Consistency: A Unified Test-Time Aggregation Framework via Energy Minimization Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01909d98-c5ca-4570-afc6-53eec91621db · inbound
Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport cites this paper.
Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0b1e979-cc0b-482d-a8c3-f43957aeee39 · inbound
Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport cites this paper.
Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:27:24.214659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be1583af-297c-4b0d-9f0b-5ecbbfd9dd07 · inbound
Regulating Branch Parallelism in LLM Serving cites this paper.
Regulating Branch Parallelism in LLM Serving Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56b8109c-f7b8-4b43-a603-84147d0dc06c · inbound
Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR cites this paper.
Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 498b651c-f698-4253-9efa-859bb5a00bad · inbound
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs cites this paper.
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81c61eb8-d208-4717-a669-e6e4db75ad66 · inbound
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling cites this paper.
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56d1064f-5ad0-4b0d-94eb-30a0301b30c9 · inbound
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling cites this paper.
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T07:12:28.305517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fa1cc8bb-f814-45f7-888d-077838fbb441 · inbound
When Independent Sampling Outperforms Agentic Reasoning cites this paper.
When Independent Sampling Outperforms Agentic Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:31:24.608406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5542b9dc-a293-4adb-83d3-d37f6e8533e7 · inbound
Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.
Structured Recurrent Mixers for Massively Parallelized Sequence Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:56:29.253728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 740d9112-b9d4-40b5-8547-8feacd4ecfb3 · inbound
Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.
Structured Recurrent Mixers for Massively Parallelized Sequence Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T23:29:12.997662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 833a4051-0639-489f-a83a-63af4d89618b · inbound
Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.
Structured Recurrent Mixers for Massively Parallelized Sequence Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T23:35:07.279844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09bb1549-59fb-41a6-9da0-3f1e049d0fdd · inbound
Structured Recurrent Mixers for Massively Parallelized Sequence Generation cites this paper.
Structured Recurrent Mixers for Massively Parallelized Sequence Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:19:06.275508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfa4ad9c-d8b9-46e6-aec3-895d39bdf0fa · inbound
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models cites this paper.
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:41:47.162344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f55b6dca-5240-45b9-a146-e56ae2f682e0 · inbound
APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation cites this paper.
APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T05:26:25.219380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 659d6fac-1e03-489c-827e-d9816e8b83dd · inbound
expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling cites this paper.
expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51baad98-4fc4-479d-b33f-1817ed166cf3 · inbound
Unsupervised Process Reward Models cites this paper.
Unsupervised Process Reward Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:42:23.872588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0cac4af2-53b2-42e6-81af-74a5919b52d1 · inbound
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:51:29.961691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d10d4a83-28b0-4825-8144-e42c2d7e8fd7 · inbound
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:15:03.419678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 315298f3-639e-4e68-a6f8-a20da24afd34 · inbound
What should post-training optimize? A test-time scaling law perspective cites this paper.
What should post-training optimize? A test-time scaling law perspective Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:21:23.941431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae2415c4-0c83-46c4-ac21-3bc1103c3937 · inbound
Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.
Test-Time Compute for Frozen Embedding Models through Agentic Program Search Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T02:32:06.495769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30d887a1-ba57-4c3e-962b-1727ea9ea960 · inbound
Test-Time Compute for Frozen Embedding Models through Agentic Program Search cites this paper.
Test-Time Compute for Frozen Embedding Models through Agentic Program Search Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T14:15:46.599329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36e51ee8-8b40-49e7-a6fa-05904a49d936 · inbound
fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum cites this paper.
fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T03:07:08.619458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36533d42-fb33-4c90-a69a-d2e0c8ec4e82 · inbound
Engagement Process: Rethinking the Temporal Interface of Action and Observation cites this paper.
Engagement Process: Rethinking the Temporal Interface of Action and Observation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:42:04.027252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5adff99d-2f60-4714-a043-13558a4711a1 · inbound
Engagement Process: Rethinking the Temporal Interface of Action and Observation cites this paper.
Engagement Process: Rethinking the Temporal Interface of Action and Observation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T13:45:46.520551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f05ebe1-9692-46b4-8a01-1b02a03589cf · inbound
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:32:02.691302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95ab02fb-9168-41e1-881d-4e5ab2938e0e · inbound
Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents cites this paper.
Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:19:28.912168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4661eb8-8f09-4b6e-a894-492cadb26f56 · inbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling cites this paper.
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:22:14.631615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a0c60c8-c71d-46f1-90a1-8e0a44e06a0f · inbound
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation cites this paper.
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T03:08:58.386020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8927fb4c-180b-402c-9873-a9e0816d3a21 · inbound
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation cites this paper.
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:53:43.615016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4eeb0a46-cbde-4f77-99dd-cbf06aae68a2 · inbound
CAPS: Cascaded Adaptive Pairwise Selection for Efficient Parallel Reasoning cites this paper.
CAPS: Cascaded Adaptive Pairwise Selection for Efficient Parallel Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T15:42:38.368488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ebf38e6-2d56-4a42-971d-62af108d29e8 · inbound
Process Rewards with Learned Reliability cites this paper.
Process Rewards with Learned Reliability Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T14:53:06.892556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.