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Paper Citation Record · LEDGER

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2404.12253.

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

pith.paper-citation-record.v1
2404.12253 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:14.632334Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 20fefdd6-74e8-4181-b6ff-763d8ab36617 · inbound

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

Improve Mathematical Reasoning in Language Models by Automated Process Supervision Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 19

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verified exact
arxiv_id, observed 2026-05-13T20:53:45.961596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T20:53:45.878221Z digest=sha256:3311d3f2c3cd7f71f73d23640bff5a600463763986299f201eee0b4ee7b6e423

Observation c6411e33-2113-43d8-80a9-6fa6f905d9d9 · inbound

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

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:42:23.297389Z digest=sha256:b18020fa01bf4bf480a785323a7ffae1d687b68714410da0f8bec59bc327fe59

Observation 9bf0d1da-e5ec-4971-8d03-d054db731fe6 · inbound

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision cites this paper.

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 44

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no resolver link, observed 2026-08-12T13:02:57.230261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:57.230261Z digest=sha256:d48a0b9e2569413c80e654880cc653ca88f7582c02d354bca186326eb1c0ec43

Observation 31783586-ec4b-4108-871a-e5d375beebc1 · inbound

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS cites this paper.

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 69

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no resolver link, observed 2026-08-12T11:13:42.719617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:13:42.719617Z digest=sha256:265d08cc3d5b5722619ba74d10b617097d09c2f165cd5b1b666eedab7b121cac

Observation 077bf181-5d88-4144-b949-f52e337039b2 · inbound

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models cites this paper.

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T23:08:16.094767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:08:16.094767Z digest=sha256:dcfd3fd5770aece94fd98788c6b3e6371bf9301e36a4c02da4e116eac21c5d53

Observation d960ee26-1d9c-4fe0-b841-2c8005ec89b1 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 188

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no resolver link, observed 2026-08-11T22:57:02.016944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:02.016944Z digest=sha256:ef6e1bcdf7452ca8f6236130877d10bc0bb70cb9b2d9accf700988ff5e44f6a6

Observation b40c4073-d9d6-41ce-b7dc-b47703ac6c4f · inbound

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension cites this paper.

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 47

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no resolver link, observed 2026-08-11T22:18:01.597210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:01.597210Z digest=sha256:2beb06c3ba0d3c94fc69a591d5969b07df0ad07f972870ec79cd1c8366a45aa4

Observation 52457f07-81fa-430e-9472-b5e542fd6608 · inbound

Progressive Multimodal Reasoning via Active Retrieval cites this paper.

Progressive Multimodal Reasoning via Active Retrieval Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 102

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no resolver link, observed 2026-08-11T11:55:10.543361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:55:10.543361Z digest=sha256:6a802f58965a94df6cc78b6aca42392f1dca629ed80a54e0c55397bd40a14d8e

Observation 1984b41d-d237-4ffe-9ef8-0cc92945c2f8 · inbound

Teaching LLMs to Refine with Tools cites this paper.

Teaching LLMs to Refine with Tools Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 14

Resolution
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no resolver link, observed 2026-08-11T06:05:31.207636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:05:31.207636Z digest=sha256:b83345298bc728153e4763860a90cdfe81a24ce71bce6e810a99d573e4d10e8b

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

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

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

Resolution
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no resolver link, observed 2026-08-11T05:53:01.316198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.316198Z digest=sha256:d2bc19393aaba3e9212bba011ced87fc63d090b3c50f483398cd0cc99e180872

Observation 465919d2-e45a-4066-bbdd-598cbccd2b77 · inbound

Large Language Model Safety: A Holistic Survey cites this paper.

Large Language Model Safety: A Holistic Survey Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 39

Resolution
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no resolver link, observed 2026-08-11T05:19:34.527572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:19:34.527572Z digest=sha256:d481fd372144cfd7d5c35a8fe5365d73bcab11a184b8d60f16d47db9eebae72a

Observation bc4504ed-2426-490d-bac0-788cc9702230 · 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 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:51:29.496507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T15:51:29.022336Z digest=sha256:48d4be5ccd001e19e4fd8a0eb6582c0d472d360d7e11031b7286fcb8aed0bb49

Observation c5f33746-c561-443d-820b-d1dac2d91379 · inbound

Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning cites this paper.

Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T19:40:23.123889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:40:23.123889Z digest=sha256:3046b66f479c1fe2e24429dc13d303d4fae3df149b3a943c1a7f082cbaa65ff4

Observation 62c49919-b6e4-4eb7-89de-d9c4aa683776 · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 35

Resolution
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no resolver link, observed 2026-08-09T13:25:52.076293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:25:52.076293Z digest=sha256:cdf9663b6b4c2e5d093ea798ff5681e074f7912f515adbca884bd980e7602741

Observation 400e6bbb-f577-4f4a-91de-f675b930a8bf · inbound

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition cites this paper.

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 67

Resolution
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no resolver link, observed 2026-08-08T14:25:53.550735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:25:53.550735Z digest=sha256:01a0ae970f74faf0cb2906d6c95596ce622d09ba70819d55da2aa47aa4595037

Observation 5e2757f4-1766-416d-8c6f-3bf8f7f6bdfc · inbound

Bag of Tricks for Inference-time Computation of LLM Reasoning cites this paper.

Bag of Tricks for Inference-time Computation of LLM Reasoning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 15

Resolution
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no resolver link, observed 2026-08-08T13:35:24.557180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:35:24.557180Z digest=sha256:e1f206c63b9dc8f5a366ebb0c066a416880292f6304dd63d1267cae067e0bf45

Observation ac1f8437-b4dc-4094-9155-267366176814 · inbound

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning cites this paper.

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:14.632334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:14.632334Z digest=sha256:1bf1a7ee51b1b62ceeac80b3d170a4f348fcacd05af6856cb1b007c571cf54c9

Observation 7d7e7a39-7a9c-44dc-bc1f-c26cab310eaf · inbound

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models cites this paper.

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.485099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.485099Z digest=sha256:9c5ede5344105040a724eedb70675c69a1ba54151d3e9001672bc14cd8d4c660

Observation d1842d38-4d20-4eaf-b30f-ad7df9642cbf · inbound

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning cites this paper.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 25

Resolution
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no resolver link, observed 2026-08-07T05:36:38.526625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.526625Z digest=sha256:0dcd0fb6737b913cecdb92c445f72f9214e1b68b0df482b8e5b853f49fd5f2b6

Observation 27a21eb2-fe1d-4337-a4d5-9ce439a5ab1c · inbound

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition cites this paper.

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 14

Resolution
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no resolver link, observed 2026-08-07T05:38:33.299806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:38:33.299806Z digest=sha256:46a3e7b7894cdebf43474ce9ae37e5a09849c954b2519d1d11a00324e355d2ec

Observation 780b2f58-8832-4486-844d-86d6bf3a3b8b · inbound

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios cites this paper.

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 38

Resolution
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no resolver link, observed 2026-08-07T04:44:04.423186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:44:04.423186Z digest=sha256:95e8b5d77336ddaef0dbdfd174c1197b70ea4fe80a2b69e7eb437c45c775996f

Observation 775a8845-ebc0-4eff-818c-9e53b93e8c2e · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 28

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no resolver link, observed 2026-08-06T21:13:13.009844Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:13:13.009844Z digest=sha256:9cbb38f8e0bf02888f08b100d71b13ee383332c06aa1119ba8dfc944effd91e0

Observation 2c27f36c-6b43-464e-93d1-8c4bf7c1001d · inbound

Hell or High Water: Evaluating Agentic Recovery from External Failures cites this paper.

Hell or High Water: Evaluating Agentic Recovery from External Failures Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 29

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no resolver link, observed 2026-08-15T17:35:04.735848Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:35:04.735848Z digest=sha256:356ba030f458ca216a754401da646e4dfdc18ad1fdc222b91b10b2242a475fac

Observation 31044c9b-c5f4-4420-a51a-5e7b59f8bb1e · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 42

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no resolver link, observed 2026-08-15T16:26:28.250013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:28.250013Z digest=sha256:d13693e254ac49b8a4398f4b4617b9b534c2fa051596818d8f8abbe2f8c88e96

Observation c9d988df-0aa4-4bf0-9e27-63c647ed1388 · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:29.251592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:7c01b8865dcffbe0240395dbcc96b4a346842b16765e1fdb5d54bf14904e1e96

Observation 9b1eae1b-1ae6-45ce-baea-9167fa4a120a · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 234

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:57:41.650075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:847f99b7f51a670f55b91f455d464d8bfad899cbb7ad27c56a815c40716671db

Observation a8d8d45b-d57b-4936-ad1d-e84a32ad4dce · inbound

Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning cites this paper.

Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 18

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local_arxiv, observed 2026-07-09T09:26:08.777500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-09T09:20:08.212837Z digest=sha256:3ac768770331c08369e944093b40beb5cf3e5c3cca6f3fe7ac2b45309467b76a