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Paper Citation Record · LEDGER

Chained Recursive Language Models for Multi-Iteration Reasoning

As of 8 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2608.05124.

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

pith.paper-citation-record.v1
2608.05124 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:47:22.379825Z

measured 71 of 71 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

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 737f6840-d2ec-43dd-a857-a0ca3be9f53b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

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source=arxiv_source observed=2026-08-06T04:47:16.859775Z digest=sha256:dd11eae3a78f1b919d19c5ff3c49135bd71d98216a4106235754bcfc5ffc8d61

Observation 759eb8bb-33e0-4479-9228-5485f17e266b · outbound

This paper cites Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.

Chained Recursive Language Models for Multi-Iteration Reasoning Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Reference 2

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source=arxiv_source observed=2026-08-06T04:47:16.897740Z digest=sha256:0cb2deeaae914469dc84c0b57c9b36db1bb851c4846234d726b523a1fe98288d

Observation 0a70cbe9-9b52-4f1b-8916-9ca7f7c6f9b6 · outbound

This paper cites arXiv preprint arXiv:2503.06692 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2503.06692 , year=

Reference 3

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source=arxiv_source observed=2026-08-06T04:47:16.966657Z digest=sha256:eecdabdb62fa2450c7ba5ce1e683c01d8acb4159b6d9a74c736f0a4fbcd446a0

Observation 28cdc79b-ece3-4c8e-8b47-9b26625ce920 · outbound

This paper cites Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking.

Chained Recursive Language Models for Multi-Iteration Reasoning Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Reference 4

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source=arxiv_source observed=2026-08-06T04:47:17.027482Z digest=sha256:88fa6493745762b1d73e046462f2a3b399166d8cf3cf91b8362472aa9a942ad3

Observation a95fed0d-e460-44bb-847c-e416f22ac0de · outbound

This paper cites Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs.

Chained Recursive Language Models for Multi-Iteration Reasoning Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs

Reference 5

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source=arxiv_source observed=2026-08-06T04:47:17.211671Z digest=sha256:a4f4ee1b51e0bc71bf22c1f90f6f660fb9c5eb3eb6bc14ee58d24432d0f6c277

Observation f7674e92-eec6-4e79-b192-36a5a2754d15 · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

Chained Recursive Language Models for Multi-Iteration Reasoning Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 6

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source=arxiv_source observed=2026-08-06T04:47:17.289396Z digest=sha256:390136ffe7dceec3f416ca89be034d5b2a6a6ddd507ca5dcfbbb9a33c87e921c

Observation 5c8ab0b2-ed54-4b69-9ebc-236fc3a34f0b · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 7

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source=arxiv_source observed=2026-08-06T04:47:17.373551Z digest=sha256:18458a0f958ab7d77d0e7b10d77a09cbf9a75aa1d420d03eb052f1e5d53667ba

Observation 92709acd-b478-4318-8312-9c223723043e · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 8

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source=arxiv_source observed=2026-08-06T04:47:17.450986Z digest=sha256:f699b8fe362f1f68f8d943277640ad1a6374be1364251da3aaee8d05077f91cc

Observation fab47b99-eb06-4042-9a9f-a6d276321fa5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

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source=arxiv_source observed=2026-08-06T04:47:17.512584Z digest=sha256:674c8dbfee17ec863ad122bb4c1f7c719533bcccd8c3bbab90a8f645cfd736d6

Observation 18da242d-86aa-43ef-80fa-fbb19d1ce756 · outbound

This paper cites s1: Simple test-time scaling.

Chained Recursive Language Models for Multi-Iteration Reasoning s1: Simple test-time scaling

Reference 10

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source=arxiv_source observed=2026-08-06T04:47:17.688553Z digest=sha256:63a393e315dfdd50a6a309309b72da6e4d3b153cc20c95b3bd8f41a9908e6ef1

Observation 2861797a-ba91-4221-b39d-46f6ceeb66f0 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Chained Recursive Language Models for Multi-Iteration Reasoning Lost in the Middle: How Language Models Use Long Contexts

Reference 11

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source=arxiv_source observed=2026-08-06T04:47:17.770183Z digest=sha256:9b80fe9d407ea7e87318a2f70c36906b49cd73a4fb33504c6da7d423e6e07374

Observation 0369d74d-778a-4bfa-b08f-aa5751ee14a8 · outbound

This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.

Chained Recursive Language Models for Multi-Iteration Reasoning Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Reference 12

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source=arxiv_source observed=2026-08-06T04:47:17.867723Z digest=sha256:1e548ec16008de4f231e60a81bcfd97f9895cde96343053a4f8d096b42066a76

Observation 1c8edcd2-3a40-4889-88ca-9df843a60d1a · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 13

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source=arxiv_source observed=2026-08-06T04:47:17.941553Z digest=sha256:2aa8a35b8ca579673e000e09586092b091d8455d37ced0310997afe5ca82054c

Observation 6810cae0-d7d9-4b30-85f4-daa9daceb183 · outbound

This paper cites Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing.

Chained Recursive Language Models for Multi-Iteration Reasoning Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing

Reference 14

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source=arxiv_source observed=2026-08-06T04:47:18.046346Z digest=sha256:72184a98ff093b59a8469248ed277b7b40100c1409a04f9a25a64244586885ef

Observation 6d85d4cd-a76c-4f89-9272-a79fe5c647ec · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 15

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source=arxiv_source observed=2026-08-06T04:47:18.132635Z digest=sha256:620fc3c7a4c30e2f955a76d522614aa1f9d8140745cfe876b98a6bc6346b1e8f

Observation 0d5fba01-f539-49c5-bb77-0ff2e354f696 · outbound

This paper cites Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning

Reference 16

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source=arxiv_source observed=2026-08-06T04:47:18.195206Z digest=sha256:3a2e47c058c6f4a3c082e13dbc57db46b4f142f742688c53813680e93360c4ac

Observation 44d892b0-0fe0-41f5-bf3f-e4fbb8120606 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Chained Recursive Language Models for Multi-Iteration Reasoning Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 17

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source=arxiv_source observed=2026-08-06T04:47:18.267488Z digest=sha256:ad1e54664772aff932c8ee6e64d57ddf08d5cabc84af2e42ec0d98ea516ed3a7

Observation eb714716-de51-402f-a343-7b548a63a031 · outbound

This paper cites Distributed Mixture-of-Agents for Edge Inference with Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Distributed Mixture-of-Agents for Edge Inference with Large Language Models

Reference 18

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source=arxiv_source observed=2026-08-06T04:47:18.331277Z digest=sha256:12702c67657b61a2c17185627e6b3b4e15e811e3e675f8dc685166779cd55365

Observation 3a2e497b-4c72-45d3-bb6f-94f52bc52189 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Chained Recursive Language Models for Multi-Iteration Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 19

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source=arxiv_source observed=2026-08-06T04:47:18.417075Z digest=sha256:9954058e6bf73a37b37cd990862801bb9e44c86fc176ce01462843cf7e1b3592

Observation b937e26d-8a91-488b-83d5-95977cfe4475 · outbound

This paper cites OpenAI o1 System Card.

Chained Recursive Language Models for Multi-Iteration Reasoning OpenAI o1 System Card

Reference 20

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source=arxiv_source observed=2026-08-06T04:47:18.500327Z digest=sha256:c370e1fae8bc96e5b0035331c6718784ff46871b117eca7e0f71935c33e6c39e

Observation 25dc0c63-e083-4c0f-b457-a0fa57b5361b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 21

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source=arxiv_source observed=2026-08-06T04:47:18.632265Z digest=sha256:ca6f115c55e26f57fffec01290f96235a59f5fe1a9e21b4f81481d41fd29b71b

Observation a0c45d9e-a497-4f10-807c-d91dc0646151 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Chained Recursive Language Models for Multi-Iteration Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 22

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source=arxiv_source observed=2026-08-06T04:47:18.705390Z digest=sha256:c558f1d6555b3aa794d0c3903c4cd3411c4d28283625f8cd9f62d26a33093a0b

Observation fe2f7c69-da22-4228-be16-e09dc7f046a2 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning The Twelfth International Conference on Learning Representations , year=

Reference 23

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Observation cee319e6-05bf-4131-85cb-7b17922f6dcb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Chained Recursive Language Models for Multi-Iteration Reasoning Training Verifiers to Solve Math Word Problems

Reference 24

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source=arxiv_source observed=2026-08-06T04:47:18.847375Z digest=sha256:81a4c0a20d19446d80ab3e0d4d7044562943137a6dea3cc93879c146c396467e

Observation c0610019-3919-4019-bf98-73cd47d9ae28 · outbound

This paper cites an unresolved cited work.

Chained Recursive Language Models for Multi-Iteration Reasoning Unresolved cited work

Reference 25

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Observation be17cbfe-0683-41fe-8a38-43b442099c7f · outbound

This paper cites an unresolved cited work.

Chained Recursive Language Models for Multi-Iteration Reasoning Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-06T04:47:19.044435Z digest=sha256:f128a01371f5396b9b6f0f22eb3c2f0b6dc4941b2577f4311c8fc679d9fdca79

Observation 5b992752-2dba-45e9-8ecd-bafe48547af8 · outbound

This paper cites Hugging Face repository , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Hugging Face repository , volume=

Reference 27

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source=arxiv_source observed=2026-08-06T04:47:19.123734Z digest=sha256:60f3591ced0f9cc270e20fbb7305e24061241717b46925be5079308c4ed51145

Observation c883fa17-c793-4a86-b1cd-c2f04999ba07 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Chained Recursive Language Models for Multi-Iteration Reasoning Evaluating Large Language Models Trained on Code

Reference 28

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Observation 58f86984-bd6e-4545-8dff-73fa65ccf8df · outbound

This paper cites , author=.

Chained Recursive Language Models for Multi-Iteration Reasoning , author=

Reference 29

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source=arxiv_source observed=2026-08-06T04:47:19.291631Z digest=sha256:b1111247428c7783ed5a8829c7b029c7d285ce8049924a0bad3caa724293f6f8

Observation cfb6be75-6a08-4b86-8c6d-d723df06f34e · outbound

This paper cites SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.

Chained Recursive Language Models for Multi-Iteration Reasoning SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

Reference 30

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source=arxiv_source observed=2026-08-06T04:47:19.356870Z digest=sha256:b8a77521f827d57f4796e91f3473edb965bf19238849c3824634ecf7db5a45ff

Observation 41f6081d-1b0e-410a-a46f-139c9448904b · outbound

This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.

Chained Recursive Language Models for Multi-Iteration Reasoning Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Reference 31

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source=arxiv_source observed=2026-08-06T04:47:19.451802Z digest=sha256:57a4478607cab4d0fc9c9f847ecd24bff098961f15a35eded7a9ccb9cf33ede0

Observation 05837a97-f0f1-4876-babe-8883dd567618 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 32

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source=arxiv_source observed=2026-08-06T04:47:19.523559Z digest=sha256:5b3e54a07fbcf625d03d35f1a0005d751f48309c100209292098ac753fa8d166

Observation 5f3797c4-0073-47b3-a2f1-8f728bd24a82 · outbound

This paper cites DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models.

Chained Recursive Language Models for Multi-Iteration Reasoning DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models

Reference 33

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source=arxiv_source observed=2026-08-06T04:47:19.611123Z digest=sha256:c1e659c3f41d053cc2ecf78f41bf27cff16085bbd4fbfc3a3d2fbacbd67a6832

Observation 3422ee3e-68ac-4d9c-b896-90f5233bf2fa · outbound

This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Chained Recursive Language Models for Multi-Iteration Reasoning Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 34

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source=arxiv_source observed=2026-08-06T04:47:19.688690Z digest=sha256:694077e8b1e5b2285e2af31f156779c199b9a5f5a59de2cc403f6c273f7bae5b

Observation 2f8f701e-466f-4c1e-b808-9a79b09dd800 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Chained Recursive Language Models for Multi-Iteration Reasoning Distilling the Knowledge in a Neural Network

Reference 35

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source=arxiv_source observed=2026-08-06T04:47:19.757497Z digest=sha256:286dd5da5e64e9b2e444664e860359bb6d379a5388ef26f848f439c92a82058e

Observation 562486d0-4988-480a-bda5-1f9e297bc0a8 · outbound

This paper cites The twelfth international conference on learning representations , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning The twelfth international conference on learning representations , year=

Reference 36

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source=arxiv_source observed=2026-08-06T04:47:19.824735Z digest=sha256:899b6913c1b9adfece49e8e8e1d64e9f228a2e31b12141632134fc0f8306381a

Observation 447b0204-a018-4e1f-9ac3-92b602222fc4 · outbound

This paper cites Thinking Machines Lab: Connectionism , year =.

Chained Recursive Language Models for Multi-Iteration Reasoning Thinking Machines Lab: Connectionism , year =

Reference 37

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source=arxiv_source observed=2026-08-06T04:47:19.922473Z digest=sha256:c204b79a9b66edcfbc049e898b82c6afb3c7c13f856bebd051e41fc6ea17f34b

Observation e2df9918-b3f8-4574-ae63-7b42fac7114c · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

Chained Recursive Language Models for Multi-Iteration Reasoning Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 38

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source=arxiv_source observed=2026-08-06T04:47:19.997065Z digest=sha256:869d2b7e29249b7cd5a6989665c1bcebc2e4928343fe19e5bda417f3549e2792

Observation c881b837-ffcd-4ecb-906f-22d2e63314d0 · outbound

This paper cites Incomplete Ideas (blog) , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Incomplete Ideas (blog) , volume=

Reference 39

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source=arxiv_source observed=2026-08-06T04:47:20.070067Z digest=sha256:7c8a6b4b2ca4426aa6c02628842adbaf81ada179d2f296d0bb3863d5448cbada

Observation c6c1f179-9dd1-4189-8fe9-998b6f0c0655 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning A Cookbook of Self-Supervised Learning

Reference 40

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source=arxiv_source observed=2026-08-06T04:47:20.130080Z digest=sha256:6a00372d82f85e2a52eec46002ad9eaa4c7fc10b714e84345c040b74265c79c4

Observation 3c97eea0-6d7a-48ef-842c-4b6401064331 · outbound

This paper cites arXiv preprint arXiv:2509.14745 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2509.14745 , year=

Reference 41

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source=arxiv_source observed=2026-08-06T04:47:20.213574Z digest=sha256:31cc452712d53dc2668464fdcd8ec36ea463ed14233d06980267e7f288e05f5b

Observation af93f8de-f62a-4e6a-b048-9c42300c317c · outbound

This paper cites arXiv preprint arXiv:2510.12399 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2510.12399 , year=

Reference 42

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source=arxiv_source observed=2026-08-06T04:47:20.295745Z digest=sha256:93419765257261a1e624f0a13935d53d2e6fcb611297c6c3c45d34e534e9c38c

Observation 43a14b1e-8e5c-4982-ac3c-7aa5ebb0f01d · outbound

This paper cites arXiv preprint arXiv:2507.15855 , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2507.15855 , volume=

Reference 43

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source=arxiv_source observed=2026-08-06T04:47:20.393621Z digest=sha256:2b2c9b8b51abce23bb8a28181289cd0e1dfe15c87c1ab06c19603a3eaf292c44

Observation 9bfd5700-7d75-49d1-83e1-19e3eb557cc4 · outbound

This paper cites ARC Prize 2024: Technical Report.

Chained Recursive Language Models for Multi-Iteration Reasoning ARC Prize 2024: Technical Report

Reference 44

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source=arxiv_source observed=2026-08-06T04:47:20.468406Z digest=sha256:2522ac237782d3baab33bd3fde7520efb456e1bfb4f776529d6f89d940ece584

Observation e5c121c4-403c-477a-81cc-cedaf3a826d9 · outbound

This paper cites arXiv preprint arXiv:2511.16072 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.16072 , year=

Reference 45

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source=arxiv_source observed=2026-08-06T04:47:20.529038Z digest=sha256:9dfd4a15b2eeccd101a0aea0e4b18d61e2939cc37c051549f31d83e278ecf8a3

Observation c24fcda2-3087-4a75-8fcd-64aa785260a5 · outbound

This paper cites BioRxiv , pages=.

Chained Recursive Language Models for Multi-Iteration Reasoning BioRxiv , pages=

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-06T04:47:25.140401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.572563Z digest=sha256:0d48567bb611cffe97b26972b6008ad8a01c51310fdf51ae80d9ab3964725090

Observation e89af2a8-5056-4ae4-8256-5acda431faae · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Chained Recursive Language Models for Multi-Iteration Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 47

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source=arxiv_source observed=2026-08-06T04:47:20.628471Z digest=sha256:84d2f0f432f59e532374554e29d931ff98dcc043b3ad3797ef79c6c5f1ed269c

Observation d3b6823f-32bc-40d8-80c2-4e69cafdd890 · outbound

This paper cites 2nd AI for Math Workshop@ ICML 2025 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning 2nd AI for Math Workshop@ ICML 2025 , year=

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T04:47:25.128241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.696413Z digest=sha256:6d23a6088b2595252337a510f0a8d8feaa56ea45530fad85a9e0c841e5296b22

Observation ffb69299-3551-4af8-a453-35fbadc83bea · outbound

This paper cites Ieee Access , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Ieee Access , volume=

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T04:47:25.116679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.759091Z digest=sha256:ea1804196b131aeaeaee1f5537338af309c8ec5004d75fe69cbef9c31b9a31cb

Observation 9377a9aa-d07b-471f-9e3e-952bb34c2777 · outbound

This paper cites Nature , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Nature , volume=

Reference 50

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source=arxiv_source observed=2026-08-06T04:47:20.871888Z digest=sha256:c9fa89c49e0cf28aece28e5c36ebdc46394fd4978d6a5439db626e2c571965ae

Observation 14511f44-be93-4516-8f8f-3c63064c8600 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in Neural Information Processing Systems , volume=

Reference 51

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source=arxiv_source observed=2026-08-06T04:47:20.933434Z digest=sha256:75d6a98def4a1a9772bb8fad5658dd8383297434690d2452a37c9ec2235ca60b

Observation bcdd1b14-b89a-4391-8bf8-d0ac79661f03 · outbound

This paper cites Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models

Reference 52

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source=arxiv_source observed=2026-08-06T04:47:21.021997Z digest=sha256:d38a4512b6096dfa388ebb2dbfd65f17364c57b97dd5c210c8ea67d42423a75b

Observation b5f95e2e-9572-4071-91f2-a7db4c64e899 · outbound

This paper cites BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation.

Chained Recursive Language Models for Multi-Iteration Reasoning BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Reference 53

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source=arxiv_source observed=2026-08-06T04:47:21.087601Z digest=sha256:c08c5765de94aace6222953b3f4efd946496144f590fdc75369fc9efd98ec767

Observation a2382025-d0e8-4690-b833-67ae65a102e2 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Chained Recursive Language Models for Multi-Iteration Reasoning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 54

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source=arxiv_source observed=2026-08-06T04:47:21.166795Z digest=sha256:80d27f3e62be0d58ccec30f16a0e7a2949d7e94605432c4fd42e143bee96f24f

Observation f49cfc3c-6ee3-49c2-9065-81425ab28c50 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Chained Recursive Language Models for Multi-Iteration Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 55

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no resolver link, observed 2026-08-06T04:47:21.300563Z

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source=arxiv_source observed=2026-08-06T04:47:21.300563Z digest=sha256:07f14ebb8046ab45b60208266b3ffd15e940ee836b12ff7be7bce634a5b3c16a

Observation a978ae39-7bb4-4d6a-9c28-a05983773ecb · outbound

This paper cites Group Sequence Policy Optimization.

Chained Recursive Language Models for Multi-Iteration Reasoning Group Sequence Policy Optimization

Reference 56

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no resolver link, observed 2026-08-06T04:47:21.360346Z

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source=arxiv_source observed=2026-08-06T04:47:21.360346Z digest=sha256:40b3aa7abe1f13e14e180175c7ec5208b1d95c6955d1d463613aca21909363e0

Observation e46d6d04-e806-4a42-a0fc-2a21cdc96df1 · outbound

This paper cites arXiv preprint arXiv:2511.07919 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.07919 , year=

Reference 57

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source=arxiv_source observed=2026-08-06T04:47:21.430444Z digest=sha256:58418ecf96cedfcff8598a5632aec9cb61c82c556fdb95397605d2c33557d92d

Observation b3c28e03-cda6-45f5-a5ba-5e77a79c70df · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

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no resolver link, observed 2026-08-06T04:47:21.531113Z

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source=arxiv_source observed=2026-08-06T04:47:21.531113Z digest=sha256:5bae952f58b09e4bc373c2edfc6ac003a02fd9a34c70fb37515756f83f830ac3

Observation 4667ec5b-ddb0-495a-a7fd-76d35023bbd2 · outbound

This paper cites , author=.

Chained Recursive Language Models for Multi-Iteration Reasoning , author=

Reference 59

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no resolver link, observed 2026-08-06T04:47:21.581118Z

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source=arxiv_source observed=2026-08-06T04:47:21.581118Z digest=sha256:7e9988cb85917f2307894fdc5a3c3e32c4b4fdd374c2f4c9e802564af1e6c85a

Observation 1084bc54-4b21-4e03-92d0-0d1bf5765b62 · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 60

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no resolver link, observed 2026-08-06T04:47:21.646506Z

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source=arxiv_source observed=2026-08-06T04:47:21.646506Z digest=sha256:e483b94b56dcc3759053c1603b8899c871e89285cb2b243c296b6566836c1d85

Observation 72dfeccd-a820-4daf-aec8-875f72e602c1 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Chained Recursive Language Models for Multi-Iteration Reasoning DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 61

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source=arxiv_source observed=2026-08-06T04:47:21.779953Z digest=sha256:379d2537f58250685eca626cf95825dd8607312b7c271d7459929a891bb4b3a9

Observation e61245c9-5e4d-4c81-85c8-640af7acbf73 · outbound

This paper cites Recursive Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Recursive Language Models

Reference 62

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source=arxiv_source observed=2026-08-06T04:47:21.854499Z digest=sha256:d9c68ff2f99687b0925aeb04731efaf3211c2b45ef733504d7f640960d04933d

Observation 991464f3-e9ef-44c3-ba26-0b7d39387354 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Chained Recursive Language Models for Multi-Iteration Reasoning RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 63

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source=arxiv_source observed=2026-08-06T04:47:21.923173Z digest=sha256:5d064db2d07d568bb0899d4801ccdce8201350aee5db6a3df7dbb6213aecec4c

Observation caff3b17-5120-4619-90be-dc8cc12e006d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in Neural Information Processing Systems , volume=

Reference 64

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no resolver link, observed 2026-08-06T04:47:21.987337Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.987337Z digest=sha256:c0414a2dfaced27f9d163a86d0d4b916d0b9e51b3af548ef6e6c1f3fb5da934a

Observation eb86cb29-7e40-4ff4-93ed-857f4dfaa1cf · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Chained Recursive Language Models for Multi-Iteration Reasoning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 65

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source=arxiv_source observed=2026-08-06T04:47:22.051181Z digest=sha256:ccdb20dd1994037c52382469222bd4adf96321ef7d0959b746daa8a51cc3e757

Observation 4f7a7469-2ce4-483f-a550-d782e7c08f21 · outbound

This paper cites arXiv preprint arXiv:2511.02817 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.02817 , year=

Reference 66

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no resolver link, observed 2026-08-06T04:47:22.093928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:22.093928Z digest=sha256:4daaa2d73a23c44f60a49023d6bc2d9ae42d44b3218782b0ffb65a89e641d99a

Observation b4e1a789-1ebe-4abe-9804-0ec72c5e189c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 67

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no resolver link, observed 2026-08-06T04:47:22.157851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:22.157851Z digest=sha256:96a3ba2088c1df50eb4ab18512d794d63b99545ce11a469366241473408a8866

Observation 99e3ec50-91e5-46ff-841d-7a3016c32423 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Journal of Artificial Intelligence Research , volume=

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-06T04:47:25.066769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.216266Z digest=sha256:3c01ad126cfd4b1993856ab5a61717d72d41c0c3ec161f000029e2d3d4adaf7c

Observation 6f4aa34e-4943-4fd3-9cf1-3471fe8f1e56 · outbound

This paper cites URL https://research.

Chained Recursive Language Models for Multi-Iteration Reasoning URL https://research

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:47:25.046923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.257067Z digest=sha256:9dbc2c5d628ed9060527f743f7e100005c0716002ba587627b4bd5bf2afafdae

Observation 660acd40-3883-4f66-82d5-afc82927c2c3 · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 70

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no resolver link, observed 2026-08-06T04:47:22.314068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:22.314068Z digest=sha256:d505ac2f92e312774604360d93fef31ecda81eb9c2fc7e4ad34f430a080f9b98

Observation d352772c-2274-4886-beb5-86e42a898c80 · outbound

This paper cites an unresolved cited work.

Chained Recursive Language Models for Multi-Iteration Reasoning Unresolved cited work

Reference 71

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unresolved
raw_fallback, observed 2026-08-06T04:47:24.782527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.379825Z digest=sha256:34ffa16e54e52551a3185d2b2cf057da93b904b552eb073cf004bd9a91897d86

Pith citing papers

No inbound Pith citation observations are available.