Paper Citation Record · LEDGER

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2604.16995.

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

pith.paper-citation-record.v1
2604.16995 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T06:57:03.100519Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:20:30.920209Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T00:20:31.411452Z

Reference resolution

50 of 50 outbound references displayed

verified exact26
verified fuzzy4
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ec81a05-1c77-4b03-9511-0a94af6757e6 · outbound

This paper cites online" 'onlinestring :=.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models online" 'onlinestring :=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:55:15.525804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77497899-a400-4eed-af00-ff405fc54f83 · outbound

This paper cites write newline.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models write newline

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:55:15.530524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0975fb6a-f936-43a8-a3fd-b0305a165f23 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.532366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d36710cd-2d66-45b6-858c-68a541f2b5d7 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.536500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ffb3f9a7-bae6-4387-a39d-f03a74925aa4 · outbound

This paper cites Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.470700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1771139-640d-4c79-b493-af854a62b4c7 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:31:34.026635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33ffb170-3324-48bc-a311-c6d1a2b3b52a · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.561608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a1f5723-2969-4d0b-af72-950b586f1e0c · outbound

This paper cites From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.475714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 566cc16d-5202-4ecb-8586-b45f49c7df01 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.563452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0c42ba5-f993-4ce8-a57f-e8ff472c2653 · outbound

This paper cites Mathematical exploration and discovery at scale.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Mathematical exploration and discovery at scale

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.446323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15d98f44-dae8-4feb-9b38-332a03a75865 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Measuring Massive Multitask Language Understanding

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:43:44.770948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8241e895-015b-4158-968c-e2b2c8c22082 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.528293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e810b50-e00e-4419-a74e-2208df121415 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.534403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 828fdfcf-0e14-4045-a842-0079075aadc5 · outbound

This paper cites Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.441454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9f4dcbc-5880-46cb-8691-fba541979f9c · outbound

This paper cites CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:01:49.478225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7b109b5-68e7-43ee-b788-bbfdb906e21b · outbound

This paper cites Gonzalez, Haotong Zhang, and Ion Stoica.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Gonzalez, Haotong Zhang, and Ion Stoica

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:55:15.569301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 084d5fc7-7dfe-47e3-8c35-eb9ec42f3423 · outbound

This paper cites S*: Test Time Scaling for Code Generation.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models S*: Test Time Scaling for Code Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.460726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7513236-bdc9-4733-933c-919b15a33438 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.542991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3bd4f56d-4dc1-463d-9567-a72a04affa89 · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:52:33.970587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50f8c7e8-bcf7-4ffe-8582-1721a190e9a4 · outbound

This paper cites Liu, and Jialu Liu.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Liu, and Jialu Liu

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:55:15.555714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 267c52bd-43f3-40d2-b00e-ee636677471a · outbound

This paper cites Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.455674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b07e0c8-3e02-4f7a-82c4-bd952e3ac418 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.574693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f35a81de-7c7a-4c00-8068-85bb814299a7 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.576846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ec9e707-fc55-4dcd-a479-7aa308443d9f · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:34.729655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc835128-3a56-42a2-86bb-8a2e16499593 · outbound

This paper cites Learning Dynamics of LLM Finetuning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Learning Dynamics of LLM Finetuning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.448711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57b873b7-101f-45e4-9ad2-c2024e6d23f1 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Proximal Policy Optimization Algorithms

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:01:49.450983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa85f6be-7ebd-4018-b803-58e7402a18b6 · outbound

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

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:01:49.453306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e97a95ed-936f-4b32-b3c7-02c611786cd1 · outbound

This paper cites Learning to summarize from human feedback.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Learning to summarize from human feedback

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:46:18.838660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c8f68e1-facc-4105-b947-2b61dfe24128 · outbound

This paper cites Supervised Fine-Tuning as Inverse Reinforcement Learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Supervised Fine-Tuning as Inverse Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.443854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 338164bb-6721-4a23-909a-40b141775f2c · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.567485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8296079b-4ebf-40a0-8935-3c49212b7bd7 · outbound

This paper cites Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.500518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aca2a5bf-65e9-4038-9db7-09d3e536cd12 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.540840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1e9508d-5c33-4d73-9f4e-e8843132a5be · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.559671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83ffb24a-c66c-4536-969b-f4492e885316 · outbound

This paper cites Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, and Xian Li.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, and Xian Li

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.483237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2abed577-c436-4d51-afd6-15a186e90882 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.571089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d8f7b00-749d-4690-87b3-5fd3a02809e1 · outbound

This paper cites Msrl: Scaling generative multimodal reward modeling via multi-stage reinforcement learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Msrl: Scaling generative multimodal reward modeling via multi-stage reinforcement learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.485580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8af3911-7863-44ad-87a0-472bec56d515 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.545253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 987896e9-8a23-4fba-9a5d-b302312a374a · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.551479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a05add80-9231-4bbe-8eed-f59ba42e59cc · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.538844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 964beff2-08cf-4683-916e-3735a1a8ba7c · outbound

This paper cites It Takes Two: Your GRPO Is Secretly DPO.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models It Takes Two: Your GRPO Is Secretly DPO

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:43:11.007781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a79a9c6-e7c4-4681-a0d7-92eb0ac8bdeb · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:57:51.136140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64027dc7-37f5-4b37-9f66-ed52fc03ee4e · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Learning to Reason under Off-Policy Guidance

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:17:03.075876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 224994c8-493a-40c4-a9a2-cfe69a5746ac · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:15:55.036587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8363d4e-eee7-401f-bc58-e1865fd4cee3 · outbound

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

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-10T07:01:49.495394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd8b9091-2d6c-4354-941c-51ef0de7d0bc · outbound

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

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.487917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24495761-22ec-45de-8521-e71f187b863a · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.565324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dde4905d-5d91-48c2-8471-467b3586a07f · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.572846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e13566b5-4de1-4557-8884-d490fc1d1882 · outbound

This paper cites an unresolved cited work.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-05-21T14:55:15.557760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 844d362b-ca1a-40d3-85d7-cffa359a81c5 · outbound

This paper cites Group Sequence Policy Optimization.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Group Sequence Policy Optimization

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:22:54.227899Z

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SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Unresolved cited work

Reference 50

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Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning cites this paper.

Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T00:20:31.418525Z

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