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Paper Citation Record · LEDGER

Training Language Models to Cooperate with Inference-Time Controllers

As of 4 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.23771.

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

pith.paper-citation-record.v1
2607.23771 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:09:01.611455Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 6c78d2e7-e099-4f19-8172-b1b0231f336c · outbound

This paper cites ICLR , year=.

Training Language Models to Cooperate with Inference-Time Controllers ICLR , year=

Reference 1

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source=arxiv_source observed=2026-07-30T13:09:01.140351Z digest=sha256:639edb11a9095f1ab8df32dfa8a22cbbcd9d88901ade988f820681837ec0420f

Observation ca84f8fd-c60f-428b-904f-f3f75915a05d · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

Training Language Models to Cooperate with Inference-Time Controllers Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 2

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Observation 7b93cefa-50e9-48a4-b98e-a0a6c280c32a · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in neural information processing systems , volume=

Reference 3

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Observation b5123d1d-8630-4702-a6f6-7991a5ca647d · outbound

This paper cites Journal of Machine Learning Research , volume=.

Training Language Models to Cooperate with Inference-Time Controllers Journal of Machine Learning Research , volume=

Reference 4

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Observation 3a19ecd9-eabf-40da-825e-a3e54afba3ac · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Training Language Models to Cooperate with Inference-Time Controllers LLaMA: Open and Efficient Foundation Language Models

Reference 5

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Observation 1e738410-959f-4b10-8d74-431f0c3b483c · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in neural information processing systems , volume=

Reference 6

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Observation c7f48261-a220-4f5c-9c2b-5383278f5d11 · outbound

This paper cites ICLR , year=.

Training Language Models to Cooperate with Inference-Time Controllers ICLR , year=

Reference 7

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Observation 20596af4-e8e8-4094-8d98-e778e0574280 · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in neural information processing systems , volume=

Reference 8

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Observation 4debd1c6-de6d-4732-8f2b-35f435005107 · outbound

This paper cites Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.

Training Language Models to Cooperate with Inference-Time Controllers Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 9

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Observation 94b5318e-ccc8-4604-a9cd-82c8a86ec17d · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , volume=

Reference 10

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Observation be22f277-4529-4844-83ea-270d04bc0b0a · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , volume=

Reference 11

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Observation b70bd16d-a3e8-419c-956f-3601aea614a4 · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation 2660c7b4-92ae-498e-b3a6-fe0d8bc9df4b · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers The eleventh international conference on learning representations , year=

Reference 13

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Observation 68d856c6-c55f-4b66-9448-2dd1df925d1e · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Training Language Models to Cooperate with Inference-Time Controllers Forty-first International Conference on Machine Learning , year=

Reference 14

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Observation 14a34fbc-0f7c-49b1-9655-fe6319ec4eb1 · outbound

This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.

Training Language Models to Cooperate with Inference-Time Controllers Proceedings of the 36th annual acm symposium on user interface software and technology , pages=

Reference 15

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Observation 6eb1e7a9-2c5e-46c7-80e3-e753fe283e30 · outbound

This paper cites Frontiers of Computer Science , volume=.

Training Language Models to Cooperate with Inference-Time Controllers Frontiers of Computer Science , volume=

Reference 16

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Observation f976b26c-9037-46d2-97e2-ef68fc8ab99f · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers The Thirteenth International Conference on Learning Representations , year=

Reference 17

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Observation 9132fb83-fa0d-4019-ae13-4465faf03e7a · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

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Observation 0c24fb04-ec27-4636-b78b-8b505f780e2a · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Training Language Models to Cooperate with Inference-Time Controllers REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 19

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Observation cf496511-afe6-448c-aa03-daec8daf50ec · outbound

This paper cites ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning.

Training Language Models to Cooperate with Inference-Time Controllers ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

Reference 20

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Observation 887ac30f-d76b-4c8e-b766-fa3ca5e62038 · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

Training Language Models to Cooperate with Inference-Time Controllers RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 21

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Observation 891041d3-db42-44b2-a955-5a82bae94216 · outbound

This paper cites OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.

Training Language Models to Cooperate with Inference-Time Controllers OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 22

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This paper cites First Workshop on Multi-Turn Interactions in Large Language Models , year=.

Training Language Models to Cooperate with Inference-Time Controllers First Workshop on Multi-Turn Interactions in Large Language Models , year=

Reference 23

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , year=

Reference 24

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Observation c8881e43-04e8-491d-a9c1-28dfc9ebd689 · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , year=

Reference 25

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Observation e5d95851-17fd-4f6a-9d1c-af4be63cb3ef · outbound

This paper cites arXiv preprint arXiv:1707.0183 , year=.

Training Language Models to Cooperate with Inference-Time Controllers arXiv preprint arXiv:1707.0183 , year=

Reference 26

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Machine Learning , year=

Reference 27

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Machine Learning , year=

Reference 28

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Observation 66d5b022-2b53-4c36-8ab8-490b05e51b79 · outbound

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Training Language Models to Cooperate with Inference-Time Controllers International conference on machine learning , pages=

Reference 29

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Training Language Models to Cooperate with Inference-Time Controllers Machine Learning , volume =

Reference 30

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Observation cf1bd968-fa94-4ad5-9a3d-c23b2a840a57 · outbound

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Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , volume =

Reference 31

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Observation b1c610ad-18ec-4865-8024-9c44eb76b87a · outbound

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Training Language Models to Cooperate with Inference-Time Controllers Advances in Neural Information Processing Systems , volume =

Reference 32

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Observation a78c7e02-9092-4f58-b351-577f590a141b · outbound

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Machine Learning , pages =

Reference 33

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Machine Learning , pages =

Reference 34

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Training Language Models to Cooperate with Inference-Time Controllers 2017 IEEE international conference on robotics and automation (ICRA) , pages=

Reference 35

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Training Language Models to Cooperate with Inference-Time Controllers International conference on machine learning , pages=

Reference 36

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Learning Representations , year =

Reference 37

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Observation 7c91183d-5383-41de-972e-d01c05f9adce · outbound

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Training Language Models to Cooperate with Inference-Time Controllers International Conference on Machine Learning , pages=

Reference 38

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Observation 07db6699-02c4-4e52-8028-774128613a01 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Training Language Models to Cooperate with Inference-Time Controllers Training Verifiers to Solve Math Word Problems

Reference 39

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Observation 82690ad4-d66d-438c-a4ea-726c517bac68 · outbound

This paper cites The Llama 3 Herd of Models.

Training Language Models to Cooperate with Inference-Time Controllers The Llama 3 Herd of Models

Reference 40

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no resolver link, observed 2026-07-30T13:09:01.579004Z

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source=arxiv_source observed=2026-07-30T13:09:01.579004Z digest=sha256:1176996e9ff6af7b1ad559491ff436b31a721febac94d3a50d9d30cf6b6aed64

Observation e451daaa-79de-436f-8b79-58ea83e3dcf3 · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers Measuring Mathematical Problem Solving With the MATH Dataset

Reference 41

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no resolver link, observed 2026-07-30T13:09:01.584422Z

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Observation 02aa038c-b899-4fd5-a8f6-b89c730b4a6d · outbound

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

Training Language Models to Cooperate with Inference-Time Controllers The twelfth international conference on learning representations , year=

Reference 42

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no resolver link, observed 2026-07-30T13:09:01.590286Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-30T13:09:01.590286Z digest=sha256:789859c365c961e86ce291b6f664af4f720b7f5dec738d06293b1488eb76073a

Observation f8831cb2-63d6-43ef-9b71-890012c20cd7 · outbound

This paper cites 2024 , howpublished =.

Training Language Models to Cooperate with Inference-Time Controllers 2024 , howpublished =

Reference 43

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no resolver link, observed 2026-07-30T13:09:01.601707Z

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source=arxiv_source observed=2026-07-30T13:09:01.601707Z digest=sha256:dccec3d84cc59b604c7ce2316fbefa067d798755db11c4c1acee0a077a332488

Observation c3fb2c9f-a007-4c47-b90b-bf38db6d8961 · outbound

This paper cites 2024 , journal =.

Training Language Models to Cooperate with Inference-Time Controllers 2024 , journal =

Reference 44

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no resolver link, observed 2026-07-30T13:09:01.606330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T13:09:01.606330Z digest=sha256:d97f0c38fd150cf6c614dd0a206b81ceb2cc20685dc27d2f2c25b8d606afcb4f

Observation 87764391-feb3-4980-91b2-315e5cc4c3ad · outbound

This paper cites International conference on machine learning , pages=.

Training Language Models to Cooperate with Inference-Time Controllers International conference on machine learning , pages=

Reference 45

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no resolver link, observed 2026-07-30T13:09:01.611455Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-30T13:09:01.611455Z digest=sha256:02c6c0971103be7a0c04d527f97bf134237e4b0a6604b5db84048cca80bf659e

Pith citing papers

No inbound Pith citation observations are available.