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Paper Citation Record · LEDGER

Distilling System 2 into System 1

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:23:54.147498Z

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
  • parse uncertain0
  • 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T10:29:05.384381Z digest=sha256:5acc3e6e9665674719a0788d8d8134a1a39f5285bc1753d049f5b2f1649e317a

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:063feea6966e1ce4c3f4177a2499bf6b5db573782b727a4ed40e416493db53ff

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.

source=pdf_text observed=2026-08-05T15:23:54.147498Z digest=sha256:fd3e3a05d6c8eac6f11b7e9c87394e92e57bfc09364064ccf0c2cfef9c65f353

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T18:27:23.076544Z digest=sha256:af4291074440e19c67cb5c4aac463b2dcee8fd3bf913c04648066df41e22b343

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.

source=pdf_text observed=2026-08-05T00:04:02.808372Z digest=sha256:7eaf2b17568f835de27f793701ee01741ecda3682605770cbb5eef5ff206e96e

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.

source=arxiv_source observed=2026-08-04T10:07:53.199815Z digest=sha256:2b8e52e5cfbd1e6878bcda33972738b97ebba3a3eb89b93bdd6e90bc98aeec08

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.

source=pdf_text observed=2026-08-03T15:22:55.850040Z digest=sha256:41c1e6d4c30136e706fc5d56f1beaabbd9f99744050911fedbea4462161cc1c9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T13:21:36.606855Z digest=sha256:5eea6bf1090a510cdea3dea2b1ae09fc501618a4a399e3297a82af2ca6ed5077

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T15:28:07.981488Z digest=sha256:84b6f68960828baf5ed75ea8a2085a85a5a80e5f684defc2f0909f657cb3d3f5

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T06:17:17.129840Z digest=sha256:6e9e88651d0330380eae3d85151b5fc3eb13a0bbecd7235b92732ff42ef00110

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:58:41.449172Z digest=sha256:b0cb289dd75272054b4b86a608700d94f1de8fe47ad07159b171f2f1f5d9b27b

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T03:31:56.787201Z digest=sha256:2dfb7425d6df48113a4856235b6c51c540de8c557236be27899e48062f3b2daf

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:31bd35a19d200048c4fd8050093dc02523d45a32969b8e11becfc478cd9f1452

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T00:51:40.815981Z digest=sha256:9c0de56ccd63d0547c3e651493688af336899a72dd5b0acc8b86398d06081d4b

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T10:07:16.700499Z digest=sha256:48de473783b33c97b31d90d5366daa654106c21417236df36af1f856b3286ba2

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T01:19:55.164835Z digest=sha256:f0f1033f58b6b7ce9b5ac941757df9fbbb5b63b60000b170fdd8160b31e8ba94

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T04:48:28.868562Z digest=sha256:c5cffde1699fd6a9040098f786daad081afe9a7a5934e9be50a00a5d485aada9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T13:56:13.827493Z digest=sha256:8af682fcd9432d35be133a331ce7ffa2d7dce06bddb003b5a3501bdc83d155dc

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.

source=pdf_text observed=2026-07-11T21:09:01.431209Z digest=sha256:c80ad36adad4b85ea9d308cf0ea5bdae0ec3a92bac0d2dd5736fde1c16f06d39