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Paper Citation Record · LEDGER

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.28642.

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

pith.paper-citation-record.v1
2607.28642 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:54:36.781167Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03dc780e-e236-412b-bd8a-286ba9037311 · outbound

This paper cites Back to basics: Revisiting REINFORCE -style optimization for learning from human feedback in LLM s.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Back to basics: Revisiting REINFORCE -style optimization for learning from human feedback in LLM s

Reference 1

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source=arxiv_source observed=2026-08-03T00:54:34.038562Z digest=sha256:e0bdde93516f620896961656baef2580625d0b0ff2ed7e753d733a2b946dfdf3

Observation 10316036-2c34-47af-ada2-66e47362a549 · outbound

This paper cites Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens

Reference 2

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source=arxiv_source observed=2026-08-03T00:54:34.171109Z digest=sha256:8ddad5279b98249d5ee44df432278fa236e10d6723d90eee63b2eb45ef382ddc

Observation c0aa9549-106a-463c-a451-03aed54c2de5 · outbound

This paper cites Metacognitive reuse: Turning recurring llm reasoning into concise behaviors, 2025.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Metacognitive reuse: Turning recurring llm reasoning into concise behaviors, 2025

Reference 3

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source=arxiv_source observed=2026-08-03T00:54:34.296280Z digest=sha256:ea212328b495a152d2e2cc2e726fdb552e05dcf85cd716e2f52ada8365864de3

Observation 2379015d-86fa-4d31-993c-816577d76caa · outbound

This paper cites an unresolved cited work.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:54:34.426687Z digest=sha256:4b192c3a56213b8f5fbd7f9902e4f8c7a2022a4c8d03c183ec6307102fc66df7

Observation d04fba53-d0de-4ee1-8f34-15885be6d5fd · outbound

This paper cites Training large language models to reason in a continuous latent space.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Training large language models to reason in a continuous latent space

Reference 5

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source=arxiv_source observed=2026-08-03T00:54:34.573067Z digest=sha256:8497158af6dee728235622373adc64e88dccb82ac83e978f8310cfbbea359b3d

Observation b63273ff-1c3c-404e-80a4-b52983f59eaf · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 6

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source=arxiv_source observed=2026-08-03T00:54:34.691461Z digest=sha256:8378d4755289f01202f19510f5745254b4f681249fcb8b6eab05a802709e8d00

Observation 222a9514-c6b7-493a-b8f4-d86c4bc13499 · outbound

This paper cites Thinkprune: Pruning long chain-of-thought of LLM s via reinforcement learning.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Thinkprune: Pruning long chain-of-thought of LLM s via reinforcement learning

Reference 7

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source=arxiv_source observed=2026-08-03T00:54:34.836341Z digest=sha256:50d51f9346a7fbb4f76ed215ad83da8f58fa36f1d99a26eba8ae18f5ce198556

Observation 5d670870-4d9e-4881-8b10-4be882116280 · outbound

This paper cites Making slow thinking faster: Compressing LLM chain-of-thought via step entropy.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Making slow thinking faster: Compressing LLM chain-of-thought via step entropy

Reference 8

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source=arxiv_source observed=2026-08-03T00:54:34.954795Z digest=sha256:8e72ceba308e675beca94a627afef8bf8bf2a5b3d2c81e53c55c4564c523da03

Observation 54cdfd08-8c83-4a5d-81b3-b97fb537589a · outbound

This paper cites Limited reasoning space: The cage of long-horizon reasoning in llms, 2026 b.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Limited reasoning space: The cage of long-horizon reasoning in llms, 2026 b

Reference 9

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source=arxiv_source observed=2026-08-03T00:54:35.058703Z digest=sha256:359ad3549f78c1ade43309ab7ab50c98dbdcecaff9aeaed0381853a353548623

Observation 9b094ba2-9872-471c-82af-2dc5fc957789 · outbound

This paper cites The pensieve paradigm: Stateful language models mastering their own context.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning The pensieve paradigm: Stateful language models mastering their own context

Reference 10

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source=arxiv_source observed=2026-08-03T00:54:35.180835Z digest=sha256:68d17a0219c63ec6409ee5678f41089526ce7c6ce8c14facd15dac56ace67315

Observation f7eb6962-e7f4-42f5-a504-45952de2e739 · outbound

This paper cites Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning

Reference 11

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source=arxiv_source observed=2026-08-03T00:54:35.243227Z digest=sha256:8816b490bf54b816a1f279d4f453060114e4a2ca23c5ba7cf6cd6a09f013a157

Observation a6a40208-683c-44d9-a3b1-7b854ea97506 · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 12

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source=arxiv_source observed=2026-08-03T00:54:35.342893Z digest=sha256:8da7f3d0b91d51a16f899c55da60f4671caf92cbe538589e5d500def42e69874

Observation a50c6acb-98f1-45c3-978b-1f1543710b35 · outbound

This paper cites Vicky Zhao, Lili Qiu, and Dongmei Zhang.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Vicky Zhao, Lili Qiu, and Dongmei Zhang

Reference 13

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source=arxiv_source observed=2026-08-03T00:54:35.427684Z digest=sha256:7b48002ee68a18a37bb7a30fd588854138ac07848afb0c2388c5d9e80b93fe7b

Observation ca742d19-6659-4319-a491-64f91325fc6d · outbound

This paper cites A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond, 2025.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond, 2025

Reference 14

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source=arxiv_source observed=2026-08-03T00:54:35.589183Z digest=sha256:02857d5e709c375a11707145296053cc629891c850140105033f70135a99b9c9

Observation 1894a0fb-e855-4349-8f9a-ca0dcfd063ff · outbound

This paper cites Stop overthinking: A survey on efficient reasoning for large language models.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Stop overthinking: A survey on efficient reasoning for large language models

Reference 15

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source=arxiv_source observed=2026-08-03T00:54:35.692527Z digest=sha256:ce281b94ef903025f77f92112715135fdd4c1651fd0925c51a8610474f9e0bdf

Observation d2508c0b-71fe-4433-bb17-62e94544a1eb · outbound

This paper cites Think silently, think fast: Dynamic latent compression of llm reasoning chains.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Think silently, think fast: Dynamic latent compression of llm reasoning chains

Reference 16

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source=arxiv_source observed=2026-08-03T00:54:35.792626Z digest=sha256:3ca22775d101a00a92f01d74866e846b177ce5627eeb4fe5d6f7169d8448e5f3

Observation e88854b1-0ecd-4d8f-9c0a-2b69aa6a0591 · outbound

This paper cites Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression

Reference 17

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source=arxiv_source observed=2026-08-03T00:54:35.872755Z digest=sha256:cc67db4fbaebd637f26ad51962b1a0e4c5801d8606033290ab2bab1c4a1b6ade

Observation edc44dc9-4acf-4d8a-9412-5f2ba3a51a06 · outbound

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

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 18

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source=arxiv_source observed=2026-08-03T00:54:35.975769Z digest=sha256:9feae31619d44b85d26b2d1ef125f03fb67b56341d1bf43e2a602322bf52a28d

Observation 43108605-3ca5-4d74-80cf-e1a82bf3f729 · outbound

This paper cites Compass: Enhancing agent long-horizon reasoning with evolving context, 2025.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Compass: Enhancing agent long-horizon reasoning with evolving context, 2025

Reference 19

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source=arxiv_source observed=2026-08-03T00:54:36.087729Z digest=sha256:a1714feed86df6feb04634ec9aa1826ebc9a6ebe731b74f086e2f829a509e708

Observation ee4b7102-c660-47a7-8f42-8e6f71ab4bd8 · outbound

This paper cites R1-compress: Long chain-of-thought compression via chunk compression and search.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning R1-compress: Long chain-of-thought compression via chunk compression and search

Reference 20

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source=arxiv_source observed=2026-08-03T00:54:36.191094Z digest=sha256:d2d43fc512746bf42063030228f30bb482f593f29754b71ff6840d2608a7865e

Observation 4f9dbefa-1bf0-4772-a3e3-378039878a0a · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Chain-of-thought prompting elicits reasoning in large language models

Reference 21

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source=arxiv_source observed=2026-08-03T00:54:36.297263Z digest=sha256:4f9c112917518ea285507879543a36d89d7ccb018e7d18d43a14540be7b3ce13

Observation ef43399d-ced8-415a-9ae1-514b1be5ee92 · outbound

This paper cites Resum: Unlocking long-horizon search intelligence via context summarization, 2026.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Resum: Unlocking long-horizon search intelligence via context summarization, 2026

Reference 22

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source=arxiv_source observed=2026-08-03T00:54:36.393811Z digest=sha256:50d5fd973533530e9d23ecff456828ee43dc80b4923f1768297a1fc0ff8ca2d2

Observation b1449786-bf4f-4ec4-bd56-6abe5cc9e53a · outbound

This paper cites T oken S kip: Controllable chain-of-thought compression in LLM s.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning T oken S kip: Controllable chain-of-thought compression in LLM s

Reference 23

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source=arxiv_source observed=2026-08-03T00:54:36.438847Z digest=sha256:49da9ba3fe17a2c653ebfe40f70ab4e3ce054265c98e00d722617d6f1730b355

Observation d26165c8-644d-4936-a44f-9a005c189fa0 · outbound

This paper cites Qwen3 Technical Report.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Qwen3 Technical Report

Reference 24

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source=arxiv_source observed=2026-08-03T00:54:36.480304Z digest=sha256:5cd2a6a810e06f34478b5ad48229eb0bfd596986768adea1a8d0a0cc2a9233d1

Observation 26335da8-1a53-423b-b465-060fd718c3ac · outbound

This paper cites Recursive Models for Long-Horizon Reasoning.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Recursive Models for Long-Horizon Reasoning

Reference 25

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source=arxiv_source observed=2026-08-03T00:54:36.674121Z digest=sha256:928a4167c9d2ff692c432ae31cb6bbad5226f5b1193c3052fb087e2fbe2f50cb

Observation 077fef9d-a71b-45d0-b5f6-ca59b3569407 · outbound

This paper cites L ight T hinker: Thinking step-by-step compression.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning L ight T hinker: Thinking step-by-step compression

Reference 26

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source=arxiv_source observed=2026-08-03T00:54:36.781167Z digest=sha256:78b8d1c9e1c7f49db540905a32574c0468b4430ddd930e8691aae7e16fe29d75

Pith citing papers

No inbound Pith citation observations are available.