Pith. sign in

Paper Citation Record · LEDGER

Chained Recursive Language Models for Multi-Iteration Reasoning

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:16.859775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:16.859775Z digest=sha256:3cda8f77d3b691c53d37244c671149132390c45e8d6d2c0d27db829dfedefaaa

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:16.897740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:16.897740Z digest=sha256:f70317266150aa00154b930a9a6dbec01727045a5cc750ee7d117aa83d1ee033

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:16.966657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:16.966657Z digest=sha256:a70dcb4930780aa4f477e5eedcd150bea6fa41edada1937fadf76839fd0c9d46

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.027482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.027482Z digest=sha256:8400fb1ce73776bea36c90e0608cbc7d183e9686b04708f352f55cfa1f386d1d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.211671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.211671Z digest=sha256:c09ba5c9de492075d3ecb22b71a9ce8eda9c713b122ff5ff7fa9b518217c8e4c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.289396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.289396Z digest=sha256:958211c99bef26a958d780ca3ec151288587b55a887f792d9017dbe18da7ca1c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.373551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.373551Z digest=sha256:1f3e6fc3af40a7e36efd4e8a106a432e10361e946f26d52e09308e5b9825697f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.450986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.450986Z digest=sha256:a909ed15114d24c787d396dab4ca3c3594b2028a7d5d425583021b89b4d650bd

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.512584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.512584Z digest=sha256:1dd2e4b01c48efb3dda3eaf68e2efdc66a8de027499d14b2c60200c68a32f778

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.688553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.688553Z digest=sha256:f15fac08d69ac69c9904f495730bfab158a7093695d11db12743560de1c45ed6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.770183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.770183Z digest=sha256:ca7f56f8ac736a2e1f96619643b2c5a2e258556bddb3143bca2530951986f239

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.867723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.867723Z digest=sha256:2e6e51dab6bdbaa823a23ddc9c794319d7615e1431745ef1944d1ebc89653f32

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:17.941553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:17.941553Z digest=sha256:ed6ff0010bd640285a4ce6a4a36a386522f32bd2d97f2e9a18db4cfffba31d34

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T04:47:24.139617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:18.046346Z digest=sha256:376b65479d1934626d1064059a308e86315e038a66ed40560dd2baa187262021

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.132635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.132635Z digest=sha256:c84727b3477d6b1a248e605210a1f703fbc46d8b3452d83f194c176ab0ec1334

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.195206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.195206Z digest=sha256:a3ca1009af0b5a6f6cf05bb498c6d339c908f82f83577d5b3c25725ece214e21

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.267488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.267488Z digest=sha256:56c51ec8edee07212e3d3ee3b8a8b7e9b16cebb24306c57e65b21613d3fc600d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.331277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.331277Z digest=sha256:99fe6677b5145b6bde101d00806602804381d6c22901db27e98028cf42e0e9e1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.417075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.417075Z digest=sha256:c5f0ca1ea8f51125c40d456026f77b73bd1541e7aa6ab9795f0247ce36400e76

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.500327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.500327Z digest=sha256:e519d100cd01f648168203f039ae4bf003686c799ce92e130dd4955dfbb9da6d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.632265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.632265Z digest=sha256:68e6ca1ab64c4a0ed4a475a28bd392f1eefbb5475c82949366b5c0e7f0d836c7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.705390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.705390Z digest=sha256:f7262a83c10bcd6d73422c55f9093fde0c6e0488e4d5085bca16eb815a85e348

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.792215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.792215Z digest=sha256:4636bfa7ecd44d1887a015e68f49c2222ee1056ffa7083740ac7e6a17992855a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:18.847375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:18.847375Z digest=sha256:d03013dc9e6ed0fed19af7a0eea9f7c10d9c43ebae356dba6c5ef34ec9d68004

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:47:25.200082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:18.937577Z digest=sha256:1b72c21fe130782dd986b3a27cc73c13c300e9ca8cc1f68c2128a79785fa3cc7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.044435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.044435Z digest=sha256:ea1ccd824123fdd19ca5a33d768ef457f000ec46357475158c7bc6af4c737408

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.123734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.123734Z digest=sha256:7e60fcbe97a082f4c24d3a5767cdb15ec54eb37245035d895e3e949037f16793

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.205972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.205972Z digest=sha256:618d5c8ad74df15f8ecac66d6968dd8574fe88bb65bd74857e55f41b045fef03

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

This paper cites , author=.

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

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.291631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.291631Z digest=sha256:02d5e9935f3ef8a6a54acaa07b9db7f5a7bc596b18e1ea6525c4accb9cf4060e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.356870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.356870Z digest=sha256:5a2393dd313a9f1298ffb295d4ae833d0e581801d3151fd27d7b62748b73cbe6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.451802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.451802Z digest=sha256:4e8e6eb88f2383ee22a71151cf091e480421c30ae6e56fdcc7aa0eeb41ba8544

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.523559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.523559Z digest=sha256:da8a1856200a4949655fc887c2a96f0c0314cc1c47888f9da4e5e7972c45db8d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.611123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.611123Z digest=sha256:5a4e9570b84c48dfb6db6c5d6afee127f709165fd7f8af0bfd943181a15bf8c4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.688690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.688690Z digest=sha256:f6e3f31fcb6257b08c6060c6f312e64918df3e66c3ceb0d2c5ee6e2b062c260c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.757497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.757497Z digest=sha256:fe6275a571ecc423cb4e8d63c9929cbc1227eed09e8785c76ad7d710a007b8f9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.824735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.824735Z digest=sha256:81ae317a4959936e802588d5950539dff8cef51cfb902463824c7ba37cebb3c6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.922473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.922473Z digest=sha256:859fcb8f9cd0f981fd7b02c2874973cccc78209542c0d32f87ab7d7932472941

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:19.997065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:19.997065Z digest=sha256:6d612415e405c3b048ae26d8b2ef6a2fc2be8b99c3758f8b2aae2cad520bc66a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.070067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.070067Z digest=sha256:6b3b98e49b9b4b4642f1bc403a780e39c29458501d8a0e65e26b8adb7a19ace7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.130080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.130080Z digest=sha256:5808f810b46af750e26338585085b75e25bbd48ca65ce777040b31d38a79c991

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.213574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.213574Z digest=sha256:4e8c69cd2ce91ef7921506300539e724660fa77303dbbe43b382f370f74e477b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.295745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.295745Z digest=sha256:a32b9dd5308c9e008e91888ccb26cd9ebbc61fdc76d31adb3a9481cd875788b3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.393621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.393621Z digest=sha256:52f340b8e79d369278b65091386363262e72ae6a3e4a6a3adcd6180a6d38fab4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.468406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.468406Z digest=sha256:4a3bbdd6fa4bb15a333ebfa1b6ecb897078afe0ea020dffed5f30dfcefe441f7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.529038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.529038Z digest=sha256:b9fabbf442a989fd004b896e0c9a894ff0065ca788415c0aa2c9336f1d4858f0

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

This paper cites BioRxiv , pages=.

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

Reference 46

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.572563Z digest=sha256:cf829ccc5a5cf6f15b69a3d113bbbfb8f60d288e38a9c4c9e84aa87380932349

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.628471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.628471Z digest=sha256:dd3068dd70e4553ea9c15c8db2edb992eb085bc1fc14a0f109a1c70eadbfd911

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.696413Z digest=sha256:59aea6301b008d72869abf0ca2c090fdfb530f686580c891db0ff659c7e827d0

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:20.759091Z digest=sha256:80b3538ad5df32a80194e524ae6dca6a4a20b89fa5248ff0c52dc7b9ddd74303

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

This paper cites Nature , volume=.

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

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.871888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.871888Z digest=sha256:93561ae5f9d57d6ea14e23618e73f50b92a532baa15dd105e37259db93f836b4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:20.933434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:20.933434Z digest=sha256:59e91b151b39e95259d151fa16f5dc90afae4557e69d79be606d22ecd9dc787a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.021997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.021997Z digest=sha256:a57d9aac4c99570c6262c40d69d4c8d27df3abc904a2f70a138e31e02d052083

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.087601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.087601Z digest=sha256:75b9238b64623062e06d04830f740cbee98a79ccdeb023c81c7de9c4d2f54c2e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.166795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.166795Z digest=sha256:8895f5d6e76453109c1b0eff7512334906cf04261ad835aaf11ebf45d600cc03

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.300563Z digest=sha256:002c1ddb88620611285fa10ffd5133d47b9bc2bcd9761c2f3ff6c03a360c49ea

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.360346Z digest=sha256:2db623cd17780cee46e975b4c4b0e606fe051b2e3810891fc3dac3e0f970350e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.430444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.430444Z digest=sha256:f5cecb291ec12f5a1d6d917733c45bf99b2a31dd689b11d30daedf506b157420

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.531113Z digest=sha256:676be357a63067dcaee772aeee798162b9d6d7f2022564d92aa5c03f56cf3e9c

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

This paper cites , author=.

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

Reference 59

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.581118Z digest=sha256:46621090574bc4ee207433742317ab9a6a8fd2feae112362503725182242767f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.646506Z digest=sha256:7dd6ffdd962eda858c2ff858079182bc756a0d453d8d675671171021fd096004

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.779953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.779953Z digest=sha256:ecdd1f309ded74d607d4ed4a47960d513c4fdcb4fa261e9a0890e47077048575

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.854499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.854499Z digest=sha256:52f8b7849a229ce1bd0df4748390832bfaec679dba0c844342e5994dfd8f0a1d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:21.923173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.923173Z digest=sha256:44b09a5557a8d53fcadcd39671e58bada27b8cfb3f5d2ff6fee6c84d1c0322bf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:21.987337Z digest=sha256:3956f26a35a6c02dff96dfa5dbe0b9011c4f46a47459e142cbfcb2ad160f6646

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:22.051181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:22.051181Z digest=sha256:740df142c0791523c8c472d325831887f4045a96af74388bdfb164b92c0310bc

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

Resolution
unresolved
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:b6af350a98c51313ca33aa00744e2f1c54af7ba5875e82a9fdce2216bc39ea9d

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

Resolution
unresolved
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=sha256:52d36ae14456fe300901da5cf69a86776404f5cb695eda9aee6f272b4db7fd2a

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.216266Z digest=sha256:3d05d8e88241d141cf8a6b2a3827ed181f4645dae9cb34a565a4a4777f429116

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.257067Z digest=sha256:035206279e0699891aeb48420cdbfd29063a3284b1133dec40abb05c0e5193e1

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

Resolution
unresolved
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=sha256:090bc4d28db352fac74e661d886341272043daf92fc1e762a15b21bd6aa3a480

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T04:47:22.379825Z digest=sha256:ca7bbc67f816117b9b2eccfc034a809279c475b8ddcafdd632afbba6c08f9e20

Pith citing papers

No inbound Pith citation observations are available.