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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:54:34.038562Z digest=sha256:2712aff6dd66570ead6fd559fc4cd8ef549df337988f952167414122decbb6ba

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=sha256:112515bab7fe247cf70cc306b700bb58447504629a1bd9a85afe09d42dc3c670

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=sha256:6a79736f49d3140ddc7c5c8065e765cf7f0d2cf8443e65a49ca537648e478ff7

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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source=arxiv_source observed=2026-08-03T00:54:34.426687Z digest=sha256:50abb06e6ce759466844d795dd428be2e6d3ecf209f372c588d700dbdebf8183

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:f1a88f8f4c49a04525cadf25ee85957ca662e740c32e7560bc765abcdbd8f392

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:54:34.691461Z digest=sha256:6105697fda0c709619d12195351a5c5451791b63628ce4fa43eb636a44e7844a

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:cf3aa522e3be71570d9d33d257f6325bf2f60b3fa2fb1a393f8c845b2a25521f

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:b28ff7dafb8707c55600c8c31dc92bc1682f5274253301da13cb611853774598

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=sha256:97dfcd12f360204c9562e06fe7ea3504e7a17936bc1cd7f055c9643a5042b86f

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=sha256:8a059f69ff8f42bb518b9ebb575e551e697622d6acb5234178729bb134397d7b

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=sha256:1209875a7f5502791c939dfaa9d65299e1f469650e72e3180a86733898559b78

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=sha256:449a7b365b874e84feec4d3573a7d42adbbb3906e8c1fc5f638983a8a901372f

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=sha256:86d4fc5adca7930b3d20d2e68f37a2983f80b57106bad6e99df16338ed48f950

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=sha256:29b7d89cf3355370f8726df253dbe456c3be6f60be32c0243eb2a08686c757ab

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=sha256:19687e39cf7de1df8a45b5aea7be16c017b6128af8a90d3c722c06efe6b450f9

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=sha256:0402ecc5ac0a1d725d735d1f115936c4776b060c5ca2a59d117f15708888f931

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:c60f356fd437bc8eba224a6a35c8d55338147066992810cc6fdfd72946c9dd87

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=sha256:282efc9ce6de2dabc5033774c7b5f8ff4d4407e0b80ffb4b80324975e81300a4

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:e7604d96cae8033059192478c10e75c02e320e73bf0d9cdf0844760ded56e834

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=sha256:8d74ac1436e656c3bd46053c5f18d9e25cc07f66873ba0606a155bb5813cda48

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=sha256:58c92f8adf26f8f4396038548e0b0b138b43aebe0937c1c429357cf0d64d0545

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=sha256:8520a307b779e99bb333229d746da907dfc7a38d64fe75d395073acb01b19db2

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=sha256:104ef938bcb8624c1adc3195c19d33f0633dc4f2779b9ce4a9907d3574516125

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=sha256:465068bc4ecfa1b4623ede27f1d4eb102f2363c6b0a741c71b174747ceba2c35

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=sha256:3c6023bfee7c0b724cb9a9be726a97dab4a142521cb8ccbf1db442c6e9d6510a

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:ef9f6ddf1d4aeb250f7a0130dc51463233f3fbcd1ddb8c79bff4322ff865078f

Pith citing papers

No inbound Pith citation observations are available.