Paper Citation Record · LEDGER

Distilling System 2 into System 1

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2407.06023.

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

pith.paper-citation-record.v1
2407.06023 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 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 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.785874Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d0296b31-9ea9-4277-953f-9c5fa11840f0 · inbound

Training Large Language Models to Reason in a Continuous Latent Space cites this paper.

Training Large Language Models to Reason in a Continuous Latent Space Distilling System 2 into System 1

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:29:05.880354Z

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.

Observation b0cc14af-663c-4330-857c-bded216db48f · inbound

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria cites this paper.

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria Distilling System 2 into System 1

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.785874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2347b3-bfd8-496f-a423-cc42d8bec334 · inbound

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking cites this paper.

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking Distilling System 2 into System 1

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:49.086742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9d285f-a993-48d1-99f8-40abf99fe9a7 · inbound

Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling cites this paper.

Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling Distilling System 2 into System 1

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:37:28.031565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571742c2-1501-486e-abb1-1df06d46e972 · inbound

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning cites this paper.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Distilling System 2 into System 1

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T05:22:33.519990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ce8382-113c-4c68-bdf3-562c82292451 · inbound

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs cites this paper.

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs Distilling System 2 into System 1

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T00:40:42.654194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41055a6c-f42a-4147-ae5f-31763f762d3b · inbound

Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.

Generating Symbolic World Models via Test-time Scaling of Large Language Models Distilling System 2 into System 1

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T21:45:45.489671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549a592e-5b9d-4877-890b-469fe03712f6 · inbound

LLM Pretraining with Continuous Concepts cites this paper.

LLM Pretraining with Continuous Concepts Distilling System 2 into System 1

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:39.389971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f317e0ba-ef77-4862-842e-a1745c4b7ee3 · inbound

CoT-Valve: Length-Compressible Chain-of-Thought Tuning cites this paper.

CoT-Valve: Length-Compressible Chain-of-Thought Tuning Distilling System 2 into System 1

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T20:57:42.151798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b38c22c-8819-4640-af25-987a46cb3dd8 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Distilling System 2 into System 1

Reference 219

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:57.288356Z

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.

Observation fe40850a-91f5-4aae-a544-28358b2e109e · inbound

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? cites this paper.

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? Distilling System 2 into System 1

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:54.608108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d9b461-877f-440b-b121-35c986759125 · inbound

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling cites this paper.

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling Distilling System 2 into System 1

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:39.276955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d19e77e3-b165-4f9c-935d-a732ad3f57ad · inbound

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Distilling System 2 into System 1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:13.808759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62de50e9-0453-41e0-a8c4-02ca38158211 · inbound

TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation cites this paper.

TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation Distilling System 2 into System 1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:14.018366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526186fb-c4d5-4067-ba39-13d1810f9399 · inbound

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts cites this paper.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Distilling System 2 into System 1

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:40.768478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ed8408-4f5a-411a-bc92-c88d7f54a7f1 · inbound

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning cites this paper.

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning Distilling System 2 into System 1

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:28.144052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8a18ce-6d25-460e-9e8c-44180ee4edb5 · inbound

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition cites this paper.

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition Distilling System 2 into System 1

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:16:17.920572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5fa618f-c3e6-485a-a7ff-a31966b3128f · inbound

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering cites this paper.

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering Distilling System 2 into System 1

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:50.103706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd60d37c-3213-4e06-b499-7b1b6659cc6e · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Distilling System 2 into System 1

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:18.741862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3def0778-7059-489c-b93e-13253303564e · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Distilling System 2 into System 1

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:40.051297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc454bb5-6bd7-4bab-991f-a9323952bf34 · inbound

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models cites this paper.

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models Distilling System 2 into System 1

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:32:32.730908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acec992-b6e4-455d-aea0-946386f837f9 · inbound

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency cites this paper.

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency Distilling System 2 into System 1

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:19.780072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39688aed-efff-45b7-ad48-e0800b7fd641 · inbound

Optimizing Length Compression in Large Reasoning Models cites this paper.

Optimizing Length Compression in Large Reasoning Models Distilling System 2 into System 1

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:40.762333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70b2234-1390-42a5-bbde-9a331c05bdb6 · inbound

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model cites this paper.

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model Distilling System 2 into System 1

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:11.449407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dbe3125-988b-4e6a-bd9f-40f3ae4d189f · inbound

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks cites this paper.

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks Distilling System 2 into System 1

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:26.226686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39542602-6445-4595-8bf8-8aea9305df13 · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Distilling System 2 into System 1

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:10.962760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a07db6-59ba-46b2-bdf6-68f091aca571 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Distilling System 2 into System 1

Reference 231

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:18.017105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7834192-50b9-4a2c-a1b0-fab71059e897 · inbound

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts cites this paper.

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts Distilling System 2 into System 1

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:23:54.147498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e062bc-429b-40ba-8370-a5ac53c265a7 · inbound

Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners Distilling System 2 into System 1

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:31:44.655448Z

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.

Observation f927999e-026d-4937-b922-99776b2db7c9 · inbound

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains Distilling System 2 into System 1

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T00:04:02.808372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48385763-2175-4e14-9323-4497471d0130 · inbound

Are Large Reasoning Models Interruptible? cites this paper.

Are Large Reasoning Models Interruptible? Distilling System 2 into System 1

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:07:53.199815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02432e68-6d9a-4954-bab6-47cd1fb8144e · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Distilling System 2 into System 1

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T15:22:55.850040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f82664c5-fca8-432c-947b-5c835aa8432d · inbound

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models cites this paper.

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models Distilling System 2 into System 1

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:22:55.281813Z

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.

Observation 8771343a-b51e-48b9-bf6f-2306090d5c72 · inbound

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents cites this paper.

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents Distilling System 2 into System 1

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:00.972000Z

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.

Observation 0f87114f-ac6a-4a33-93e6-f8b1b7e76baa · inbound

Efficient Test-Time Scaling via Temporal Reasoning Aggregation cites this paper.

Efficient Test-Time Scaling via Temporal Reasoning Aggregation Distilling System 2 into System 1

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:21:27.016232Z

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.

Observation 112b5da3-44b5-47f0-92a4-62539fbbfc51 · inbound

Knowledge Distillation Must Account for What It Loses cites this paper.

Knowledge Distillation Must Account for What It Loses Distilling System 2 into System 1

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:17.952686Z

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.

Observation f97df7be-c3d1-44a1-8a30-0992a92516cb · inbound

Knowledge Distillation Must Account for What It Loses cites this paper.

Knowledge Distillation Must Account for What It Loses Distilling System 2 into System 1

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:13.573826Z

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.

Observation 7275a523-2417-4956-a186-1d60a37da73d · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Distilling System 2 into System 1

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.050599Z

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.

Observation 9e0e68b6-7c2d-4948-b2d6-26165f8fe510 · inbound

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning cites this paper.

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning Distilling System 2 into System 1

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:41:24.454079Z

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.

Observation 465725f1-26d7-4222-91bd-8585078bb725 · inbound

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning cites this paper.

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning Distilling System 2 into System 1

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:28.717125Z

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.

Observation b962f982-3edd-4d66-9356-c796f94b344b · inbound

Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models cites this paper.

Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models Distilling System 2 into System 1

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-27T01:20:20.448324Z

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.

Observation d8861a76-bd92-477a-9b73-36a72700a02d · inbound

E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation cites this paper.

E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation Distilling System 2 into System 1

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:59:51.744502Z

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.

Observation 168b237d-252b-4408-a5a0-94405db34aa0 · inbound

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think cites this paper.

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think Distilling System 2 into System 1

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:21.037500Z

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.

Observation 5cf5d0e1-aba5-4bf6-8dc3-69080df4f225 · inbound

CritiqueDriveVLM: From Verifier-Guided Reinforcement Learning to Latent Thought Distillation for Autonomous Driving cites this paper.

CritiqueDriveVLM: From Verifier-Guided Reinforcement Learning to Latent Thought Distillation for Autonomous Driving Distilling System 2 into System 1

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-11T21:09:01.431209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.