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Paper Citation Record · LEDGER

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling

As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2605.27030.

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

pith.paper-citation-record.v1
2605.27030 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:24:19.375500Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd1a06d3-afcd-4c97-9bbe-c101e2ee558b · outbound

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

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:33:51.107720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:5d3811e97549c5498432558a211e97e827eff8b32d3386ac175a54f39d9fcaf4

Observation 5e19dcc1-6c9b-46f4-b7ac-31fdba4cdb61 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:33:51.115824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:926ae26d91f9d871227fde616f38d6a6a676270478d7201c33abb22da009c408

Observation b74c2d78-fc98-4654-888f-7d534c0e6003 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:33:51.103145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:3a28142604e7e405c8976bc618b83563d5c9130ee818098a1f28ab121c8be90d

Observation 50fad4a5-553f-4400-99e8-a8807f3d0316 · outbound

This paper cites Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:33:51.105366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:8173039dc85de54bd5012c5973b43bc0ed44aa895ad8be51fb2feee77b39f209

Observation 36f32368-d1e0-44a0-9465-6ec04d9e217b · outbound

This paper cites InInternational Conference on Machine Learning (ICML), volume 235, pages 49890–49920.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling InInternational Conference on Machine Learning (ICML), volume 235, pages 49890–49920

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:51.110501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:bc171723dee3641306dfeb4289c50dfb822ddceb34923049ac10d9284f958877

Observation 42aadb2a-f61b-467d-83a3-c564be5b5066 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:33:51.112926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:a1a30a4c7face1234c38862c8ec010de92c7cf0d2d2b99a573844c7d176476ff

Observation 662280be-2348-4cf2-ab12-f57a32cefeff · outbound

This paper cites It may help you adjust direction, notice useful relations, or avoid repeated mistakes, but it should never replace your own reasoning from the problem statement.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling It may help you adjust direction, notice useful relations, or avoid repeated mistakes, but it should never replace your own reasoning from the problem statement

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T18:24:19.375500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:0d95a88b8ca376d82f05fee218a6797df00aa003dd32e1cb1e0f3e5cee135370

Observation 1f36bd7d-c989-466e-a891-e138b1150b79 · outbound

This paper cites Treat insights as structural hypotheses rather than proven facts, and use them only after checking their conditions against the problem statement and your own derivation.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Treat insights as structural hypotheses rather than proven facts, and use them only after checking their conditions against the problem statement and your own derivation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T18:24:19.375500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:4b300104d05c1a20c8405f9f3fbf4f88ca1452fd343b5a79c49bc7267d2701a3

Observation 604869fc-ebe4-4da8-8ed0-f90badeea630 · outbound

This paper cites Do not rely on such content unless you independently derive it.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Do not rely on such content unless you independently derive it

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T18:24:19.375500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:03bb0f2108b97a10cfc96524e29db47558c2af1ba78f2df5ece87a6fa65e252c

Observation b78937a4-f4e0-4015-ad64-3f6c8598dbe7 · outbound

This paper cites an unresolved cited work.

Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T18:24:19.375500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T18:24:19.375500Z digest=sha256:5c48a9292f24833cc0218d2d0a59f6ba2a8d0984533a1b8949f544204861e426

Pith citing papers

No inbound Pith citation observations are available.