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Paper Citation Record · LEDGER

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy

As of 6 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2607.03126.

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

pith.paper-citation-record.v1
2607.03126 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:43:45.592808Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

73 of 73 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved73
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3052aea-30c8-4319-b6b0-26d7461f2cad · outbound

This paper cites Trust Region Policy Optimization.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Trust Region Policy Optimization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8ebf36526d0fb3cf6d6284e9b67e57b6a14b3a8bcbade712625d74156cd3638a

Observation 947c6400-98be-42c0-b218-f585eafd3dcc · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:b4ca4d40d3d1c10c93d6a7510155d4597a417541bdc88428c93f860a35931761

Observation 737e21f0-dc9a-4a05-8ffb-369bf2b87791 · outbound

This paper cites Soft Adaptive Policy Optimization.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Soft Adaptive Policy Optimization

Reference 3

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:1fd8e3edf9972e79913fa905a42efed671c1d453808de59db6fff4700d264c53

Observation f057cd68-3b1a-49aa-a41b-0ce3ad0c47eb · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 4

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:5d3041997e3fd38782a15d3055448a712ec0b8e17ff61aca17d3dff796eea7db

Observation d6b1045a-4fbf-4446-937c-26eb9d5d696f · outbound

This paper cites Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR

Reference 5

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:f740aefbfda1f657e18f52c4d47ba061fa5767141a38cc142c5099a761c1c218

Observation f96f6cb7-628f-4332-b8f9-c724631727a4 · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:1cbc6b3bd477f821ecf64be1c31ecb32911894272353feb1ae37e89a93945371

Observation cebbacb8-3fa8-4211-b1ef-c1ea3ca49bae · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:0c61c63de7e85c00ec10f00cc8d0173ae87c2b157ddb6edf49732bc31a9bb028

Observation 41de0120-ff82-421f-8cb5-7a89f7d4653a · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:35249c5e57d542ee0f0c77424fd47618ca6cecc7a5268265bad7df80429c175c

Observation 764de9a8-9774-4576-a722-076b72e92254 · outbound

This paper cites 2025 , eprint=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy 2025 , eprint=

Reference 9

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:cc0d200c10f807d2a49ee499319a4c394c55dfca309c5f1ef90b42830ab724b4

Observation 1e43b077-4e75-4865-9294-ec36dcf53544 · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 10

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:989657f72caf38a77b907ee206db5411a64de54a00ca38880a5963f3694d5f8d

Observation de7998a5-366e-478b-842e-3e61672b6024 · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8827e9691cf9dfe9e64786d27c0cd618cc18c47129c8395ee5666a33ad261261

Observation b11d8f47-e326-4edd-afa1-2dbc28b1b72d · outbound

This paper cites arXiv preprint arXiv:2512.00499 , year=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy arXiv preprint arXiv:2512.00499 , year=

Reference 12

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:b7c8468c6df88473855c7d1f0031ff3fb845402869907845af3e9464402b6c6b

Observation 678d2cd0-e4e9-4bd3-8b66-73ad7b8bb7ad · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 13

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:86c2f89d5bcc7167fe98384959cb107444c235539e359a6724b4931b6cbfa75d

Observation 4e61ab1e-c568-4a6d-9cbf-62b4391d7674 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:a53d783cd00f22454e0c46da08f8f83b07d731532e153b45ec7362097280d6b7

Observation aab26ffb-5446-4974-920c-0f907189a081 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy The Curious Case of Neural Text Degeneration

Reference 15

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:571305d930cfd6dd0eeb85a6a5765babcb62845df94a7ee832d84c57e716e7d8

Observation 7a04e0bd-647d-47c6-9af7-af3ae83c004d · outbound

This paper cites Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

Reference 16

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:e8c5655e3c3b50b02169d7bf7a7f19867c3c1896f5e68403d8c49f2d9768d17e

Observation e7d16614-bf15-4e42-886f-c89b57f4f571 · outbound

This paper cites How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Reference 17

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:c53bc8e2117792b7688e530783729f6197e757cd2b0ec8a5e193ccee9e311518

Observation cae054db-03a2-4552-9a83-beed53d4c70f · outbound

This paper cites arXiv preprint arXiv:2508.03772 , year=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy arXiv preprint arXiv:2508.03772 , year=

Reference 18

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:d461d99b44fbee0dad25b8e85d6cc434bf088b9bc11321cc196f88ce49e29c27

Observation ea6e9c6f-dfb7-43da-a2cf-eb2c5fa6dfeb · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 19

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:82d3a0b15ad7b1edd336f863c91ba9b42a43b4295667c46e6ec15c22bdf2678d

Observation 26ffa2b8-ba11-4ddb-abd5-3d29f82196aa · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning , journal =

Reference 20

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ff7e18ec7d0a1f50d5fc778b84d1ddec91406ea1926ccc5b2f0657861aaeb1b8

Observation 7146b0e1-3ab0-42c0-96df-eb6cbff48f31 · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ea2fdb180d60c40de93ef1995684ee8fcf1cb4e9ef455d5b1865770cf5ad1e7b

Observation 222d8d89-46cd-4e62-9fa2-d7b13393daa0 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 22

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:344141f0135bb2e4a9d9a8df204d512dde3704120fff3298d7595a2f7e90374d

Observation 07868e43-ee4f-4f92-9cfe-2b9aa976a6ae · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 23

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:0b678d9b1dc0802acf44ca1ec915d337c10923ab44cdc778832e690ad6441074

Observation 375c0cfb-aa83-4821-aa2c-029937ed8b36 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 24

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8569d3b02321e4a380c43bb8cda37ad8de93d0d72931c2c5d86683c82903e988

Observation 99d00fa8-36ff-4602-8be3-76173c628c09 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 25

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ee6d82dd67b22d6585c10424b36c35614bada482afb68b7aa0dea9ae146a477e

Observation b2f9c852-e189-4737-8824-7b68a37fa9f5 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 26

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:2a80f227395db03c23a200348af3031f7801d4eb280f27e7ac884e14e834740d

Observation 73954a07-3f46-4764-963c-33deab1883f8 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 27

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:cc68f8e642cc1734b1d28db4c19ef6ff55f63c70201e9d97da744c6c544fa6ac

Observation 5eaea446-5a00-49b0-a45f-397042a2293f · outbound

This paper cites Group Sequence Policy Optimization , journal =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Group Sequence Policy Optimization , journal =

Reference 28

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:4123a47525912e99e541e52990697768206ab10f26b7bead3c0cf35321fa7302

Observation 5c453e6e-abde-494a-b0e8-170f02863938 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 29

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:b7d5039afc365898320f18f55415ccb6dee1fe0ac9cb4286aebfe8cbd62e15a0

Observation 9258d580-ada7-4887-8e75-b2204878adcb · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 30

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:7b6baa801db8a0fc28f80ae411898e2b7d2373c523056509e49fe00bdb9dc6b1

Observation a04275be-bbd1-4ce3-99ac-aff0f9b32438 · outbound

This paper cites The Surprising Effectiveness of Negative Reinforcement in.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy The Surprising Effectiveness of Negative Reinforcement in

Reference 31

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:055d2c922f1c18f7e7c7f6d7d4af16addbdb2ec5a4ad2b59feddb4d8b76b84da

Observation cc950ee1-3c0d-4136-b533-2236d70fc596 · outbound

This paper cites 2025 , eprint=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy 2025 , eprint=

Reference 32

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ffbba81e38592b1d3048344efd86e42723cf3a41b4d209c05ffc84662fa1a7a8

Observation 064e3653-0e29-49a9-880a-f40c6fe8a71f · outbound

This paper cites 2025 , eprint=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy 2025 , eprint=

Reference 33

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:d0a10c34cd475a30d2547363466c828f9cc8508335ac5831eed5c2f88ba8573d

Observation 796110b0-12cb-41e3-839e-3c31ec514fda · outbound

This paper cites 2025 , eprint=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy 2025 , eprint=

Reference 34

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:7a3c1b3990f91468885c4018ec4a3e5db027ecbfa744dc523936f7b95c014da6

Observation b9ca9c34-01f3-4be6-a64f-e4885c206d3c · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 35

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:7670fa40d0df48e5cc65e77fc1f7cebe5e084e0251831b88dfd200af3dbec236

Observation 1305588a-aba4-49ea-b803-3ec40888bba9 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 36

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:fa5d99110c70bb522788dee8ce5dfeb4b7e8a7cbc793eec411cc6eadc3322ec3

Observation 417ffbcc-e5aa-4c92-9003-ab27def07efa · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 37

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:27ff4fd2a544e2b0ae6fdaaa1360e5567f550f81d4a029dd86625b261df7c273

Observation 19c04beb-8f8e-4581-a21e-e507618b2789 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 38

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:6d161e6adef9df0835ecb3299ea3ff30a0f098e7cb2b9411ff15530e21cc342c

Observation ea38b194-d501-441f-b48b-71ee8b14f0bf · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 39

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:fb49eb7465e99c80f801571b1d889e3307b666c62d37b38a64e1581c20ce7d9f

Observation bf2e7bb4-0908-46ee-b9fe-3a53bdfab326 · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 40

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ecfb93c1bc38d91d11929ecc9ac95b3b64a80bad878f862fb18a6064a91d5886

Observation 574e847d-d5ca-456a-b8f2-56059625704e · outbound

This paper cites CoRR , volume =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy CoRR , volume =

Reference 41

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:d4dc98746f62a84f90d611189cfcd7b5040a97d93c3ca21af51c324adb714011

Observation 9ced3c37-7082-4028-a5e8-ebad0bc14c30 · outbound

This paper cites EuroSys , pages =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy EuroSys , pages =

Reference 42

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:47c6f446a5d9522128e40c4dabfa2e2b61f5660967aa40014f56e9c86c086320

Observation 2e5e5e17-12b9-474e-9725-8ba659ae4d64 · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:932449fab2d174612ee9047c72dcd88ee6ef9ce2fd0a425451f0c22a3d27b222

Observation c65049ba-6464-4af6-8cbe-6c186b2279d0 · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:9ba910b626a3406f5da7d072c11a95c6d50a182203047a369287d6276bcbc4a8

Observation 03288198-c143-47ca-9a60-de488a8ef9ec · outbound

This paper cites an unresolved cited work.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8d479f135ff1bfb695797e7b7ea51a27270ba1efad87f263649b2843d2ee9100

Observation 346455b6-6575-478d-a63b-f52c6a2eb607 · outbound

This paper cites NeurIPS Datasets and Benchmarks , year =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy NeurIPS Datasets and Benchmarks , year =

Reference 46

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:ed9d2f65fa8fff0d0a5abbdfc4108ddcd8df7578b49d7567f12e37265730f7fb

Observation 120ce18e-0019-4ab7-bc26-65718f97dfba · outbound

This paper cites Bowman , title =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Bowman , title =

Reference 47

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:29b4cf91241f2929f43b16ed40ef662ef6711f684b32e400a63145bff1d06bac

Observation 8a65fa13-ce6f-4355-86ab-11cadc521da3 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code , booktitle =.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code , booktitle =

Reference 48

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:1275c33c2f2d8bb575ffa0c4d6ea0703ea3b925a7dbae6a2593fd9db965fc4e2

Observation 30bd001a-7007-4d6f-a195-3487a0aa98a6 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 49

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:d798ba93fdfd8fab930413205c4133dfce455a4fe4e9d7915cb11c540977d015

Observation edf5678b-0755-4282-af06-5fa35cbbfff2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Evaluating Large Language Models Trained on Code

Reference 50

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:a0aeb0c9f32a36b4abf4f160a3b3ec00fbf154e23e89891dc9a83b3898ae3cbc

Observation c3be849d-22eb-4fa8-a489-501ae2273f88 · outbound

This paper cites GPT-4 Technical Report.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy GPT-4 Technical Report

Reference 51

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:78254a3453fdb0a4231cb3433106aa37f25778475bce14efb1a3942a77633aec

Observation 34d8eb3a-0c8d-400b-9f9b-d957ecabc9bb · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 52

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:9ec219b2b630ead10670b7fb2b90ae8c80817ea3d503c77c8ced1709ed8f443d

Observation 9d487959-c269-476d-9ddb-ee785076d2d2 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy ORPO: Monolithic Preference Optimization without Reference Model

Reference 53

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:4bb4b79ffd0d2e41df179f302c43227461213a05e187de1396af6d27851d9f07

Observation 66eea0af-7452-413b-b4a9-020538f53763 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 54

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:399822b84677321198c00c15dfa52da512f42d1379b58258951db757bef6fefd

Observation d16b1e3f-95a5-4bc6-9e19-ded4e05dd677 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Gemma: Open Models Based on Gemini Research and Technology

Reference 55

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:917c2792c31958c98e00bbb6601c6be7b8c6413c8768586c76c48d8e122ee474

Observation 0c51f0fc-7d4b-4740-9e2f-39cd06934ce9 · outbound

This paper cites Mistral 7B.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Mistral 7B

Reference 56

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:68832a48eda0d534fc657147ecbeeed38f2b2774992c0178336f910f99642af5

Observation 1121d046-ff11-485a-a0de-521e8a4e01ad · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 57

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:f0792be5a54cc92a1f3e946db6fdcd8d3e23279f2d8158c08553f1feabb7849f

Observation b5b2c717-996b-4d72-98a6-5ec32397123f · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Yi: Open Foundation Models by 01.AI

Reference 58

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:c0e7c143636502bd8953213a72d565409dd0cf2b1dcaacb51b8eba9b5328b16f

Observation 4838cbaa-9d4e-44dc-99f8-298070cbdf59 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Code Llama: Open Foundation Models for Code

Reference 59

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:19520643cedc8e18e207d93ce334c40dda2dd3248b3a48c2b63699019b8ba026

Observation bbee1ddd-f728-437b-b356-eaf20d3e6718 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Proximal Policy Optimization Algorithms

Reference 60

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8866d9e4d3cf6ac6116aace29aca1656df845877d9552a5d8181dd47e80a723f

Observation f8480593-5aca-42d0-b729-89a2d2005206 · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 61

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:284a257d8e575c0cdb616f105b59cb58e0b5ec503d87a23a9e51e644ca87b1b7

Observation 9d4adb8b-5686-4258-94e5-667ad64b4065 · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Advances in Neural Information Processing Systems , volume=

Reference 62

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:76dd44ca2715dd47d36e563c05b4963282ff7dda054eaf99fb0accc46641b84a

Observation 47741ddd-2dfb-4650-91be-2f6fe70dd2f9 · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Advances in Neural Information Processing Systems , volume=

Reference 63

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:9254c827e846c33af8c64513ed727620b37a61b0a6ad0d1fb01a06746123c6d9

Observation f1460f2a-aeee-4764-90c4-0617bbf30f06 · outbound

This paper cites The Llama 3 Herd of Models.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy The Llama 3 Herd of Models

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:02514eb87a0b15d9c95010a9c7aa889f9b0e711d586c29f5e5cc1098fa7e1646

Observation 71610023-6284-43ba-b148-7a8f9110418d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Training Verifiers to Solve Math Word Problems

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:170fe676044968a5e2ebcdff17c545e7b4e602ab179c17f89c69ca8760ebb237

Observation b63488fb-5771-4dac-9475-d9994d1aaaaf · outbound

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

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Advances in Neural Information Processing Systems , volume=

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8cae342125b95f76ee8dc722d3e20381ab509e1ed61cc2294f6c1eee8cf9c47c

Observation a5e8bc7a-5eba-4e50-a3b7-20421d5bdd65 · outbound

This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:8730a0a67fec72a8b47b0125e88e1333773538dec138a8b54e79e91b6820a794

Observation 1847f053-70c2-4582-8f94-d80693041965 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy KTO: Model Alignment as Prospect Theoretic Optimization

Reference 68

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:c137a64f3cea1636ced13e53fc043d24a2a52ef1f408c79a8f3720c6c82cf8c2

Observation cb0a7af7-e5b4-443f-8cb8-ee74261f805f · outbound

This paper cites Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems

Reference 69

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:dff24de7bf51f293a1c27e1fbb1e975ea5e2234278735eebfe27f08d3830dfa1

Observation acb144af-b2d6-4fe3-b2a2-19e4510fc399 · outbound

This paper cites Let's Verify Step by Step.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Let's Verify Step by Step

Reference 70

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source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:3ebcceec576d5beb980c031a20ca1c13d218ad28c9460e87cbd7e1d384284e64

Observation ea0cc37f-5245-4527-85db-be47bd744205 · outbound

This paper cites arXiv preprint arXiv:2512.21625 , year=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy arXiv preprint arXiv:2512.21625 , year=

Reference 71

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:719ab0fb092a33b31ab4e79f82bc4c2fe833c3de77f2b22252a29e1b83942995

Observation 9e3c6695-b408-4083-a1cc-6c9803c17d38 · outbound

This paper cites HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:085b425f6339c3aacc48a8a08cd12e8af05f0ee121bfbc78b5ec37c21bce2f6c

Observation 05a46d29-782d-4768-adcb-ac5f2e2847ee · outbound

This paper cites International Conference on Machine Learning (ICML) , pages=.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy International Conference on Machine Learning (ICML) , pages=

Reference 73

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:84494754df364a344e49b996754d9f9c4ebd637075c39f696ff471df09f41796

Pith citing papers

No inbound Pith citation observations are available.