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Paper Citation Record · LEDGER

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration

As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2412.17061.

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

pith.paper-citation-record.v1
2412.17061 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:53:01.372087Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:53.732435Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:07:40.766129Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d79bcbe-a84d-43f2-8989-5b1fe1ef372c · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:02.081469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.174521Z digest=sha256:04b0f8bc2b113720fbff8fbd5cd179e02a8bb28904a2041b99f8f67db421ac85

Observation e18261ac-3f13-49a7-9d98-af0719aaea4f · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:02.068433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.179298Z digest=sha256:dfb9e2f4279974ada5c236fd838b79bed58fc925efc2e642bfb569c5496a082c

Observation d341c9a4-f131-455e-948d-ea125ba96dfa · outbound

This paper cites Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.183153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.183153Z digest=sha256:df5d2bcac7944771b69736b46278e661179461b97e48bf5ffb0a202970d80fee

Observation 1acafc10-c12b-4ab3-9562-c18ef53710f0 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.187721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.187721Z digest=sha256:886417ed4b6a46088357723d4aaca1baf35519471f0662cab831d901daec8bba

Observation fb437937-1a2a-4f8e-bacb-10843fa39a59 · outbound

This paper cites Lucas, Peter I.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Lucas, Peter I

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.191766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.191766Z digest=sha256:28e4a6b99f4ffb8c3b11b3bf89783807cee358f3215a34aad12bc777030d318e

Observation 2fd4b479-e584-4329-ae7d-0c371d03a59d · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.195600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.195600Z digest=sha256:31e8d2292d0d84599bac82f163e28c5055553798b34add0d4f3a780345d82a84

Observation efd9f185-ba02-47b4-8453-d2bff6a42040 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.199840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.199840Z digest=sha256:dce99dbdeb151b3a05733447aef3c5b884345b1dcadf51e5a2d819a86b42c5f1

Observation 23a7728f-fef7-457c-bef6-fef0a4c21d96 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:02.053952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.203507Z digest=sha256:02e76dd5b197cac21884619e47560e8209cdfdb23bcc3dc588aeda39ada35c98

Observation 13b0bb9a-0228-4b80-9fc8-c9c7024a7aab · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:02.040295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.207204Z digest=sha256:bf9e1b5ab3544d166b6e6349a28435918e6659d40597b586aa9f19d0b1f1abcb

Observation 3f00391f-d2d5-4584-af41-66db889b27dd · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:02.025677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.210785Z digest=sha256:00e275f356d923c0a0b87ac9f06ebf05fa97e3cca0bc39dee0c1caaee94680db

Observation c846ec06-7993-4155-9d84-dd9b8da0f945 · outbound

This paper cites Tenenbaum, and Igor Mordatch.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Tenenbaum, and Igor Mordatch

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:53:02.010521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.215263Z digest=sha256:d3e9d5c578aae5d7072a8e97b7fbf7fade72e48a740a408e558fc94b2f91a623

Observation 0478bc54-0f3e-4510-93a5-8923ab76fee6 · outbound

This paper cites The Llama 3 Herd of Models.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.218930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.218930Z digest=sha256:44a015889d7c3d3ba3670e1d6b7945607f2afb2e5e60a935b299e2d4759e8f8c

Observation d257c9f7-a878-4c21-a51a-78b41ac53ae6 · outbound

This paper cites Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.223423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.223423Z digest=sha256:657752d8c7590d27db49de418b2c0c447deb57030f1b09edd4208b833dc2f351

Observation 310a15e6-70fe-415e-b541-24636bb92490 · outbound

This paper cites Donoho, and Sanmi Koyejo.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Donoho, and Sanmi Koyejo

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:53:01.996476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.227362Z digest=sha256:899eecf3a356cbf4a4e036c2bfc07dd406cbdad6925b732970adb500bcad9ef2

Observation 84ff5a0b-26a7-4c8a-9a94-6312db62b4c2 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Reinforced Self-Training (ReST) for Language Modeling

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.231697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.231697Z digest=sha256:6d8c72c3823a495c62b4f94ccc182d4e1d8777e68b0e32ca4f54fab5d4f34d38

Observation 1ca6244d-47f8-4882-9faa-daef283588a9 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.235678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.235678Z digest=sha256:15d8c58386fcddfb2cb24f9c59e9982a754f95e809521359db6762dd6f547f40

Observation 1bbab484-66c3-46ec-abb1-94508853e7e1 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.239371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.239371Z digest=sha256:4272bc8a911367fb712356d8f1dc8a7cce3bc156ab21887476784fc8857b4df3

Observation b6502860-c5ad-4015-a68a-040af6bbeaaf · outbound

This paper cites Training Compute-Optimal Large Language Models.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Training Compute-Optimal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.243071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.243071Z digest=sha256:b601f7bbe9041b41a2c769e618bbca72cbcc80d23ba82672219f2c6f5260de53

Observation 2cbfb98e-0ed8-4419-8fd0-e4a48994dfc8 · outbound

This paper cites Mistral 7B.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Mistral 7B

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.246999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.246999Z digest=sha256:d08e6560f8447cdf36e8470b6dccba1c710cf35898d83e318a5b1cf6cbfd3e16

Observation 95ea2f9b-3d92-497c-bf3a-bcef21d9fcf1 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.250822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.250822Z digest=sha256:3441f5a1c16fb5a6e0910cf577f355bf7ef2d625740ef202c8e5c5848b735ad7

Observation 05c54a2a-f180-435f-add8-d888f40b8055 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:01.974067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.254284Z digest=sha256:8388c656d077456e43adcc4046c87e8ed695fbcc959e17dff286f98ddbf59260

Observation 94ebcfe0-288d-4fe1-9dea-55a0246b89a2 · outbound

This paper cites Scaling Laws for Neural Language Models.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Scaling Laws for Neural Language Models

Reference 22

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unresolved
no resolver link, observed 2026-08-11T05:53:01.257792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.257792Z digest=sha256:af7dc547abf57467fa66e43c8c56bae4760e7f9837dda474acab7d7490240dda

Observation da430ee3-cdc5-4a63-a152-5463225c7e96 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration RewardBench: Evaluating Reward Models for Language Modeling

Reference 23

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unresolved
no resolver link, observed 2026-08-11T05:53:01.262391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.262391Z digest=sha256:0688267b39c80f06a7601559cdf7d7f91b06b7616975dfc56f374a52363d850f

Observation 03be8058-e6bc-4961-ad5b-d983b06289e0 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:01.960622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.266364Z digest=sha256:6deedb713307de16b850a94d1f04269d2c2a348075b9d041bf61d04bfbefc354

Observation 39a467e1-8691-4f92-8a55-faf22622d597 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.269907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.269907Z digest=sha256:2199be3fd313ba3d0c9c8b77542db7c8706140c6d22d3499dc72ac6346a7ee78

Observation 04c31fff-33d1-492f-ac16-272941dae174 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.273657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.273657Z digest=sha256:49682c4aa1826dc857b9d2bb01ac6bf75fba1a941fe44ca9bc7da12b33460ec7

Observation 148a8333-ee24-4848-bdf8-c75f700495dc · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:01.937996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.277035Z digest=sha256:e1e2015ab2ffdc19d136d2d383574b6cc5e2432962df51fa8b689d6dc866e240

Observation 68a8d08d-15e3-44a7-8b82-30f81d1485ea · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:01.925854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.280697Z digest=sha256:c6998bf3b741a0da1ac05fc72718f542596bb9a1192fb7262856cf839f516de6

Observation d4026e4e-c776-4cf1-85d3-6f4f12a49b3a · outbound

This paper cites Liu, and Jialu Liu.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Liu, and Jialu Liu

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:53:01.913543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.284530Z digest=sha256:cb56b928c0958955c39c1e18e38dad89b5bd6d767435679b03077cfb3562e4f9

Observation 617c2467-29b1-4e2e-bc58-9e7d66b19c50 · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.288181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.288181Z digest=sha256:50494f311055ee7183b30be6e73cd723fb5b2cfef7c3598f5a15784a2cd99f0e

Observation 508c7d96-0f41-46db-b76b-b2a50a6d357f · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.292274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.292274Z digest=sha256:ad18e9fe31bf99acb2f4a84812d8d4b6e66cb4f4ccd86f8aaf93959facc4fd84

Observation 3a723306-1b30-4c7f-974d-17348997ff7b · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:53:01.902035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.295938Z digest=sha256:c9acae4cfd23c2b2d7b368ff82943bf9f96a70d0ebdc653b2714c699ae8c0f54

Observation 1395c49a-5a41-4d11-bc37-eb62a3e543cd · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.299517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.299517Z digest=sha256:7b018342ac9f4993e7d246a1bd7835a0a1d1fc4835ac9e89039ffbcb959e1b05

Observation 88591fed-6103-4923-a175-83861ffb1c9f · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Manning, Stefano Ermon, and Chelsea Finn

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:53:01.890641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.303388Z digest=sha256:a2a6a8f007b23d4064959fa666d7a301356c654b353280e0e9e9e5007a89444f

Observation d9cb5fbb-7f7f-42e3-89bc-6d3e52359ad9 · outbound

This paper cites Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:53:01.877944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.307393Z digest=sha256:9c5cf80fee8c1cb1cc0439f9239e48ab8d5b7c629415f89ca0af979d51d97f9d

Observation 32d2c49e-d409-44a7-8394-d31acb167e55 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:53:01.311501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.311501Z digest=sha256:dba2493194ab68213fa03df47419057bfbf9f1cf7b754cd95d8b0179aed3e05e

Observation e2ed132b-b9d1-4921-995d-e51d97b9eb69 · outbound

This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 37

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source=arxiv_source observed=2026-08-11T05:53:01.316198Z digest=sha256:d6d05d585d8eb7e1527170c4072c51bb20899e7431587592e52769830e2880ab

Observation 4c148f46-2b1a-48c1-8405-b68c84f23e6a · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.320120Z digest=sha256:6520a738b0d203e6981cd6049dfeacb1675944de8f56f13bc370627f6a560201

Observation b6ce0b4c-4577-460b-8e0b-043a57861c24 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-11T05:53:01.852391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.323847Z digest=sha256:46dc50cc725220ac4d83a5c45705b6f3ef05a8a6b8bc2c75665ac96c04fae0e9

Observation ae0b20cb-0552-4ff0-bb67-205e121b07a2 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 40

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no resolver link, observed 2026-08-11T05:53:01.327562Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.327562Z digest=sha256:691333fad5464bf0a9ac9ee1627d42979ddb8eb2a7593cef071b918409a03832

Observation 855eab0a-7fe6-476d-8366-6ed748ae9620 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 41

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source=arxiv_source observed=2026-08-11T05:53:01.331325Z digest=sha256:ede9c1f03c42346b82ec26936a2872def1c2010f4ea8babd5d82edbced4b3388

Observation e22e6257-821a-471c-adad-94d5e433121f · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-11T05:53:01.335731Z

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source=arxiv_source observed=2026-08-11T05:53:01.335731Z digest=sha256:ab9a698c017997ab217045e382d161607c2e0d29df994b8e8dd576d832679bf8

Observation 5f7e8a9f-52cf-44b1-b270-bf3ce3e50291 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 43

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raw_fallback, observed 2026-08-11T05:53:01.840113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.339785Z digest=sha256:663f149ad1090c7d33e9f33b6afa4118e0ed6df1c1788833972f2bb972fd25cc

Observation f26f6031-6151-4f5f-83fb-1dc7be544e0d · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 44

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raw_fallback, observed 2026-08-11T05:53:01.828247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.343522Z digest=sha256:f539be6153c1b2b20b12399df3d5f41195c8be932b5c56c173ad8c7f97a45bdf

Observation 8cbb8599-0c67-4a8b-9d9d-0d95fcbe19c5 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 45

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no resolver link, observed 2026-08-11T05:53:01.347603Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.347603Z digest=sha256:07e72f9bade6708aa5168aa5afa5333ab040c593c0a0ef74fa0540d91f78eb7e

Observation 4090b54d-4754-4b50-b2f2-30606a0144fc · outbound

This paper cites Qwen2 Technical Report.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Qwen2 Technical Report

Reference 46

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no resolver link, observed 2026-08-11T05:53:01.351375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.351375Z digest=sha256:c29d305d307560a5163ce92cda820d66ab62d6efc2eae61d6fa8ec73c473fd53

Observation 501b3f7a-ba27-442f-91df-8605d023b894 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 47

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no resolver link, observed 2026-08-11T05:53:01.355387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.355387Z digest=sha256:241759e329cf8d9bf3f89d3d0d61f39771aaecdb77a09ca77f34517bbb855a5b

Observation 089a776b-df17-4cd5-bfa3-940304a559e2 · outbound

This paper cites an unresolved cited work.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Unresolved cited work

Reference 48

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raw_fallback, observed 2026-08-11T05:53:01.815832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T05:53:01.359301Z digest=sha256:9d2f99d09dcd57838e8c639d1926b2021ace64f4385843a8260a3e2153acbe48

Observation 713939e7-c264-44f9-b588-f9a6e567304c · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Yi: Open Foundation Models by 01.AI

Reference 49

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source=arxiv_source observed=2026-08-11T05:53:01.362978Z digest=sha256:15f6969f4ec4851bf7c21517d4f9bb5a0e773e7338f548675e6f2e3f60908e85

Observation 082c75d5-7f80-4c75-add1-fae9d946d2b2 · outbound

This paper cites URL: " 'urlintro :=.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration URL: " 'urlintro :=

Reference 50

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no resolver link, observed 2026-08-11T05:53:01.366843Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.366843Z digest=sha256:6c12d6942840387de4aa55b44ed738ea20aa154c8d82eaa1e35dd944d3c77901

Observation ce94a2b3-f990-4b03-8c5d-d4dfe28e7493 · outbound

This paper cites write newline.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration write newline

Reference 51

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no resolver link, observed 2026-08-11T05:53:01.372087Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T05:53:01.372087Z digest=sha256:c145a1ba8a1e1cb97a4daa754c2a3f39373ced798aa4af6e99380aa01d8a94c9

Pith citing papers

Observation 4f65a6c4-9afb-4015-bc5e-e9ee4d45d6ba · inbound

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy cites this paper.

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration

Reference 38

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no resolver link, observed 2026-08-07T15:17:53.732435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:17:53.732435Z digest=sha256:29051d93fa2dadc3a782a3de774f7813888c644002f01540086b41e22bca4abf

Observation 16a1f6d0-504b-4935-a542-908b4ef904e5 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration

Reference 193

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:07:40.771087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:07:40.300446Z digest=sha256:0f7faaa09af23e0e8d93681f435d05fcc0e62177c715cb356f849a95eb6ab7c7