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Paper Citation Record · LEDGER

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2505.16022.

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

pith.paper-citation-record.v1
2505.16022 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:39.079082Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:07:11.998516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:13.682832Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e38655e2-22ec-4dcc-bbf9-2bf991fae332 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.734158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7363fb43-c1b8-4ae4-8e84-d32a07263637 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.717008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4503dbf5-7d1b-4a31-b2e0-305228f4a265 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.700356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f92c90c3-6cc8-42ec-b56c-cfffb030fcce · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.863910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.863910Z digest=sha256:26e85e44cf2ce4617183368d47919434904fa5e539e28008fcf314002fdcc4c6

Observation 18c85eae-aea0-4baf-ae9a-2631d6fd5228 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.399693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e6ab8871-9e4d-4091-9412-14b014c82a74 · outbound

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

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.876065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.876065Z digest=sha256:15ca26c52da3e79c5722903dc99bb86f40fe4f6497e1c67570dfb9a265c24435

Observation 6e800ae2-3680-4a3a-a4ea-a5e031d68bc5 · outbound

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

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.888451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.888451Z digest=sha256:7da2c72cc3a89704e1e8fd9f6855d53030d6b0c88c08a18ed9890e6b63857834

Observation 474c2c7b-1cc0-44be-99c4-f81dfbc43091 · outbound

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

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.902088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6bdabf17-656e-4ce4-ba84-0151ccf6f802 · outbound

This paper cites Final Deci- sion: Yes.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Final Deci- sion: Yes

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 85b9d61a-596b-490d-9b92-d4eae2430890 · outbound

This paper cites She" ...... Step 2: Translate each component individually. Subject:.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning She" ...... Step 2: Translate each component individually. Subject:

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.682197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.938402Z digest=sha256:507fe82c2b08e2bccdeab926339cbbf6c9f289d7ef7dc02be0f018d41d01e172

Observation df2f5239-f871-4cc1-b004-ffb767967b66 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T15:11:39.663841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e9be971b-6687-4911-81d9-e81a98818249 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.647672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 398a2f4a-1df3-4ab1-a688-47199a1aa3ed · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.629822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.957374Z digest=sha256:a23b726afff31d681b18a8dfd8331d022b681cbdf80c6453943858b112968dfa

Observation 3614f761-ebd6-4031-833f-ab2e138f88e0 · outbound

This paper cites Here’s the step-by-step translation process:.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Here’s the step-by-step translation process:

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.613081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.962807Z digest=sha256:661b1d6cdd21828c560eecddde197b7e97dbfc4939014c28d5f1eeccf21d7140

Observation 1066f1eb-434c-40bc-a8b9-be62f6c81bdd · outbound

This paper cites she" ...... - Additional descriptive elements:.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning she" ...... - Additional descriptive elements:

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.596642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.967448Z digest=sha256:3633e81569ff728eed037f07027253c5dcc9373747b824d7ff8837cfeba26d1e

Observation 2479437b-f0fc-478b-9be3-ec7613afe9d9 · outbound

This paper cites she" ->.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning she" ->

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.579980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.972545Z digest=sha256:fad23fd9476847d419ccabaa2f6aab374d6409c5a42d9760d5a357176a826656

Observation 188533bb-a108-4798-af76-92e923884dc3 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.562792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 01f3cf25-4470-42d4-b5b1-5a54290af2a5 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.545244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 64681c72-08ff-4dc7-a930-dee0e7243922 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.527429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cb9bb14f-2b9c-4b60-b051-e408adee9371 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.509707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b0cc18c3-31cd-4d8b-a3ab-1cf8f5b27c09 · outbound

This paper cites B is unaware of.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning B is unaware of

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9c2a3398-34fb-4dec-afbc-a17b1bc72f5b · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.468422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 922df4c7-0479-43da-bdf8-d58cca003acd · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.449748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 709c78c5-4951-4a44-8d94-4806cdf97381 · outbound

This paper cites B): When describing negative behaviors, the Social Story should never employ the first- person perspective to safeguard the dignity and esteem of the audience.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning B): When describing negative behaviors, the Social Story should never employ the first- person perspective to safeguard the dignity and esteem of the audience

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.431452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.020438Z digest=sha256:694ca307353961be4b40d4accb75329859ab7278ae82b26a2feca45f300d8ed2

Observation 06efe856-2da4-4707-9f98-3ad12552af26 · outbound

This paper cites an unresolved cited work.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:39.415626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.027388Z digest=sha256:c3d4d26fefc617470925770d73220c6c9412809cd3830d72536a521dbfe1862e

Observation 4c1d0899-4796-4e24-9ded-bc208de13d13 · outbound

This paper cites shouldn’t.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning shouldn’t

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.382599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c793ea06-90c4-4516-8e31-ab0f25a66408 · outbound

This paper cites This pattern involves stating information from memory as-is.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pattern involves stating information from memory as-is

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.363830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.045977Z digest=sha256:d33503608db10ca6e39c3328dad393018c569c1b9b937012c409b5f04c3c49a0

Observation 18867395-3e6c-4db0-87e1-9583912fde36 · outbound

This paper cites This pattern involves creating a structured approach to solving com- plex problems.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pattern involves creating a structured approach to solving com- plex problems

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.341318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.053748Z digest=sha256:c49cb688e4cce4f72e9338b0b0179b7a05067f9e7e67de1bc25f3dc232171d9d

Observation 0b3f6fbe-84fc-4d8c-b650-254ba82b22f2 · outbound

This paper cites This pattern involves comprehen- sively covering various aspects or potential scenarios.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pattern involves comprehen- sively covering various aspects or potential scenarios

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.321981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.060729Z digest=sha256:1c541b52f200cd2d19e36550583568cd4812c00633ebe3b325e9ee102d8f02fd

Observation 83490bf5-e812-483a-8ec4-8f51e88c9b2c · outbound

This paper cites This pattern in- volves reflecting on one’s own reasoning and making adjustments based on further consid- eration.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pattern in- volves reflecting on one’s own reasoning and making adjustments based on further consid- eration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.306510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.066869Z digest=sha256:0811ad568b257152a56df1cf2737c0bb56e2ab0151d8b56a6b7e0e3a929dd1d5

Observation 11d5c80e-a868-4546-b1ea-09e81183e6c9 · outbound

This paper cites This pat- tern involves making conditional statements to explore potential scenarios or outcomes.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pat- tern involves making conditional statements to explore potential scenarios or outcomes

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.289591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.074253Z digest=sha256:876d768d58e933894eb9f59a625c6d4973a036872f4c7d9fc8be131e383274d8

Observation 02578f35-6bb9-47e0-84a8-2e28189cc994 · outbound

This paper cites This pattern involves explaining how one factor leads to or influences another.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning This pattern involves explaining how one factor leads to or influences another

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.259225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:39.079082Z digest=sha256:307079a6f12fc068a1fd979ad9564906f8bf395f2908704242ac4ede0abb6122

Observation 10c68ddc-efde-4d5c-9278-21415404f4f0 · outbound

This paper cites Concrete Problems in AI Safety.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Concrete Problems in AI Safety

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.842207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.842207Z digest=sha256:e3c2a025f6b95dff3ffb84293c46e333f52ce156b66a7ca42dcab0aa9e1c1a02

Observation 457d0f23-d4d2-48ae-a0c4-3e99f7a1d3a5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.857258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.857258Z digest=sha256:6671f2cbad6527d37412a0bc602963f5b2a43c345ad18b10a203d13171fdc974

Observation 520afe94-1318-48e1-bbd3-57f840ce1af8 · outbound

This paper cites In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Sin- gapore, December 6-10, 2023, pages 14397–14413.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Sin- gapore, December 6-10, 2023, pages 14397–14413

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.769140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.881872Z digest=sha256:e6ba6c4f69a50bfaad5c273977562e5e5790ca277fbd326fe251f9bf9afb98ad

Observation 8f0eb2ec-d169-4b86-b4fa-e434a3be0dab · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.851629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.851629Z digest=sha256:760bfdfedb46fc1b831dedb7f5d2bf42d12502251818a870e7a4d2e762128ffa

Observation 90067c4b-4a14-4235-801b-33d924d99e97 · outbound

This paper cites In The Thirteenth International Con- ference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning In The Thirteenth International Con- ference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:39.787142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T15:11:38.870524Z digest=sha256:ea62506b7ec5af9711727fcbe270e614684632a236d3f7d0c95e7d24ba80a9c0

Observation b9c282d7-bfff-49f3-8a96-bee8c219855f · outbound

This paper cites Proximal Policy Optimization Algorithms.

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 3824

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:38.895169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:38.895169Z digest=sha256:ed8a460e8eb675164530654a365fb33eb028da03d4a7e9be85e44031b7d89ba9

Pith citing papers

Observation f6ec994d-fc65-44a1-98f4-65bdf44d49dc · inbound

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction cites this paper.

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T23:07:11.998516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:07:11.998516Z digest=sha256:1cee513d06bd25bd8a94b56d73eccef1b9e721480fd5c15469b93bafc89c43e6

Observation 4469da8b-6e88-44a5-9adf-d0538b71c63f · inbound

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction cites this paper.

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:26:41.681208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T07:26:35.767179Z digest=sha256:4ddf4d8da8b4dba39a9618681d818d9176eec2d9da6808310be7da10281cef1c

Observation 6ffb21a2-1c49-4a22-8db3-3f318b929b7a · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning

Reference 167

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:56:13.684119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:8ffb6f92a58695cc05b56006f259f67b6631382c65c1a534e1ef6457afc70817