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Paper Citation Record · LEDGER

Making Large Language Models Better Reasoners with Step-Aware Verifier

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2206.02336.

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

pith.paper-citation-record.v1
2206.02336 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:12.260340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T11:14:23.109198Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5be6e154-1117-4f23-a852-7028ae0ddadc · inbound

CodeT: Code Generation with Generated Tests cites this paper.

CodeT: Code Generation with Generated Tests Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-15T23:55:14.808489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T23:55:14.711111Z digest=sha256:df25b3900eb597133c5556527ce97215273384f94c46df1dfacfc5bb733b08ed

Observation 4b1ba2fe-294d-417d-89ea-e4648efad14b · inbound

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 16

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arxiv_id, observed 2026-05-11T07:15:23.855070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T07:15:23.725397Z digest=sha256:e35741ff588f3bcf2b458bfdc5fef19e77b90f9639b7ebdeaaa09b6b7c7aba6c

Observation cd81734d-0fde-477a-82d8-e014088e4c8c · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 25

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verified exact
arxiv_id, observed 2026-05-24T11:14:23.111945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T11:10:40.864420Z digest=sha256:9807ac55817175fc0aaa94790e0df2b5e9092b4719b8b1b5563b630e3061d89e

Observation 0fb9d7f0-8e94-4370-a83c-3715e78ae4a6 · inbound

Multimodal Chain-of-Thought Reasoning in Language Models cites this paper.

Multimodal Chain-of-Thought Reasoning in Language Models Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T18:12:27.511336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T18:12:27.396607Z digest=sha256:2fb13f5a9cbf45892484f23c16aff2c4f81a2757b9f69962b0f5ee8cd84ce5b8

Observation 1476ecc6-6e32-4c42-8333-57e013e0445d · inbound

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models cites this paper.

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-16T08:43:46.902207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T08:43:46.877782Z digest=sha256:4035abd8bbfae6f3a2b314ffda7b9b96a01fddc5a0e5d50b584ed26cb6cc8621

Observation cf23eb3f-4f4b-48a5-bb46-77cf95e3d1df · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 267

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:59:27.051995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T11:59:25.813128Z digest=sha256:3fb2cd0dfbbc66fd4ec1460da4e3fd31978cef5e1cc5ece07acfc41785e40992

Observation f4039142-dc1c-48b7-bdfc-e032fd73a34d · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 116

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arxiv_id, observed 2026-05-17T01:49:28.898106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-17T01:49:28.796581Z digest=sha256:831820333726d48583472c08cece3f6140e5600888947f093c20e9adfb5742a1

Observation 30a89cfa-1fa9-4141-a1d4-940a0ad07cbb · inbound

Let's Verify Step by Step cites this paper.

Let's Verify Step by Step Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 10

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verified exact
arxiv_id, observed 2026-05-10T15:37:21.375177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:37:21.295749Z digest=sha256:ce89aa8ffccc8afe5dadfc31780b989edaa67800a258720a3589ebe63da080fb

Observation 8b10d4ab-538a-475c-aa70-2bf1f41cd8a7 · inbound

Improve Mathematical Reasoning in Language Models by Automated Process Supervision cites this paper.

Improve Mathematical Reasoning in Language Models by Automated Process Supervision Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 10

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verified exact
arxiv_id, observed 2026-05-13T20:53:45.929108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T20:53:45.878221Z digest=sha256:e5c362d6d8ff33f1a4e1100d2704d01c223a4db785d5db76e3a12371cdac53a5

Observation ddcb5505-9dee-4c11-89fd-2df2410edbb7 · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 11

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verified exact
arxiv_id, observed 2026-05-23T18:48:20.422977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:943f5174b2d5c240bf1e9850702ff495118ca1861bf0046817fa7edbcaa8b747

Observation 71a2c00d-b5c0-405a-b7ca-4b598b2ab2be · inbound

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination cites this paper.

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 15

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no resolver link, observed 2026-08-12T19:35:45.088222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:35:45.088222Z digest=sha256:f821dfee416e888cd252af53808aa19d45b9c4e73a8298ae61d2825454f5de8e

Observation 7ebf23aa-7318-41e2-8901-da65faefeca4 · inbound

Preference Optimization for Reasoning with Pseudo Feedback cites this paper.

Preference Optimization for Reasoning with Pseudo Feedback Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 21

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no resolver link, observed 2026-08-12T13:21:05.617722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:21:05.617722Z digest=sha256:92f29b4a06abbe697bfaaa8eddc2a638f336d281aa1118fc7692b703447dcd22

Observation 62626659-c487-4d49-a835-979d4507486f · inbound

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners cites this paper.

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 17

Resolution
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no resolver link, observed 2026-08-11T05:45:00.398974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:45:00.398974Z digest=sha256:b1850d184f14a6ceae215c9e835a2d4a459949f874c3c20ae6ed80c5d23919d3

Observation 7370b5f1-3f6e-4e04-9f0e-361db27e4329 · inbound

DIVE: Diversified Iterative Self-Improvement cites this paper.

DIVE: Diversified Iterative Self-Improvement Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 18

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unresolved
no resolver link, observed 2026-08-10T22:49:13.424423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:49:13.424423Z digest=sha256:9a6c7c74d374a1eff4633b6b8a839f023d5da328dd4addb5f7ecf1cf6bcf9b40

Observation eca45b1d-c928-44b5-be5d-8522a66e2480 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 233

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no resolver link, observed 2026-08-10T22:17:56.282829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:56.282829Z digest=sha256:ebd6db8122e091117fe83aa25e91d99a0f219acc633f286c393a0f5deef4fe0f

Observation 28b78448-60bd-44e5-aa9d-954dca77322d · inbound

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning cites this paper.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 8

Resolution
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no resolver link, observed 2026-08-10T17:27:43.085859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.085859Z digest=sha256:026d3d842642242b663138079df87addf55d164e1461c8660c53b6398183f25c

Observation c7ff898d-718f-439d-ab05-dd5b082f5231 · inbound

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 18

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no resolver link, observed 2026-08-09T17:09:15.320000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:09:15.320000Z digest=sha256:ef99137b08c41cb0318387d68a7d1459bbf2b284fbfd6b89cdd3870f8dd18969

Observation a7a4f68f-c5a3-4949-8a30-851b1778ecb2 · inbound

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers cites this paper.

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T01:05:23.059557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:05:23.059557Z digest=sha256:5d267fdc1f30a96e6297735bbbee3ad70766719057d5e3882392a25ce4b540a9

Observation 21b815ba-c8f6-44df-9d01-5be7782e0d5a · inbound

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models cites this paper.

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 6

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no resolver link, observed 2026-08-09T00:27:17.642878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:27:17.642878Z digest=sha256:d6353bedf317aa3734ac445fe2560701cb5085084d8221741015968afaeadac1

Observation b629c2ea-858f-4963-acf6-9b26600e017b · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 36

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no resolver link, observed 2026-08-09T11:20:31.828323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:20:31.828323Z digest=sha256:aa5aa666e4a7454f61a1a21bd7b1a2cfe255f2e826dcef77eb00ee7e7203c627

Observation afeeb844-56dc-47cb-ab43-bff6497684cf · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 161

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metadata mismatch
arxiv_id, observed 2026-05-13T01:36:24.171084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:1b8ec2caebdb366c3491c094df0507fc814020c1910172138ce89ea15069ffc1

Observation fb01f054-36a1-4c11-87cf-b60ceed8ae70 · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 85

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no resolver link, observed 2026-08-15T23:31:12.260340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:12.260340Z digest=sha256:53eac971a824ee49cb3a0d5e506ad30c0248b9dbb37c80c1abaa2b2bf686ca10

Observation c20b3a41-74cf-4ac3-9b10-63f3b9255117 · inbound

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision cites this paper.

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 38

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no resolver link, observed 2026-08-15T20:17:23.329574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:17:23.329574Z digest=sha256:4b321bfd9380e1cfb6f7b0c107dfdd07f15ee9122331414ad59a4c51eedb2e87

Observation 37612b5a-76f8-4b62-9784-90f726004da5 · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 32

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no resolver link, observed 2026-08-07T15:44:33.398334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:33.398334Z digest=sha256:bbbb99a8e7cca3e1ef3cf20b052958e726cfd43dc7f74fc05a76d5f2bdf91d2f

Observation eb929e99-d3ad-4b0c-a971-a10a344d65d1 · inbound

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning cites this paper.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 42

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unresolved
no resolver link, observed 2026-08-07T13:35:55.915561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.915561Z digest=sha256:b6d2bbb4dd25b5241326dae59dd82910965adeaf9d0dd19c3b9f47c907d60719

Observation 1352d2a4-96dc-40f8-b34c-4790bfb18015 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 85

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unresolved
no resolver link, observed 2026-08-06T17:47:40.214785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:40.214785Z digest=sha256:20f31d3d59da7a4741a1dde5fd2cce8c05d51404ab3a1ebde6bacb706a3fbb17

Observation 2a6129bf-0290-4a04-9954-d602daf3482b · inbound

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question cites this paper.

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:25:45.157002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T23:25:31.174513Z digest=sha256:720108f6374d49c7051ceff827b72f5807a1405377af8354973ebc377e364dd9

Observation 4948ee73-d9f1-4600-ad61-c5b9e7ad9249 · inbound

Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate cites this paper.

Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-13T18:53:08.278483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T18:52:00.129650Z digest=sha256:9e9d524f9882f8f9c5e811ca2a1507a3200943bdf7735e9582d8a547b95effbd