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Paper Citation Record · LEDGER

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.20278.

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

pith.paper-citation-record.v1
2507.20278 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:47:19.009023Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0693d9bb-7535-4743-a1e9-db1a9e2e2bf2 · outbound

This paper cites URL: " 'urlintro :=.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning URL: " 'urlintro :=

Reference 1

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Observation 9ffdf14f-519f-4311-a55b-75290a6777b6 · outbound

This paper cites write newline.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning write newline

Reference 2

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Observation 066c2064-0d4e-4501-9ad1-e50613e71f3b · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0f069ede-a7de-49d4-b5fb-427fc811058d · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8f281f62-c071-42f5-bcbb-b289ceb2afa5 · outbound

This paper cites MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 2da7f41e-84a5-4415-be20-a486a0b395e1 · outbound

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

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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Unavailable: canonical work link unavailable.

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Observation c79c93b9-1cdc-4931-aad3-e464c5235105 · outbound

This paper cites World Models.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning World Models

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 815d9b93-face-4edf-bd57-58b1dd0e18d0 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-06T13:47:17.126195Z

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Unavailable: canonical work link unavailable.

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Observation f98b9b23-1e3b-4476-9609-2e8e37d643bb · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 50fb0e33-59b8-4389-a8b8-66942a112ea1 · outbound

This paper cites LLM should think and action as a human.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning LLM should think and action as a human

Reference 10

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Source-reported events for the cited work

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Observation c28c95dd-4608-47cd-b1d6-490e0949b6c6 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f64e141-df01-4280-bf3f-c8b942165c43 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c831b04b-7b57-4379-bd0e-a0bbed71af0e · outbound

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

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 13

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Unavailable: canonical work link unavailable.

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MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 14

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Observation 2303e65f-0930-43da-99bd-898829ed3068 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df60be77-c238-4ef4-a8f9-eed61e6d415a · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 0a222f7a-5762-4ab8-8e26-1f7cfb505e34 · outbound

This paper cites From Reasoning to Code: GRPO Optimization for Underrepresented Languages.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning From Reasoning to Code: GRPO Optimization for Underrepresented Languages

Reference 17

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Observation 8798e34f-f634-4143-8257-e1e0226f52e4 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2da14eca-c6c7-4137-b67c-e94300460a3f · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 19

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Unavailable: canonical work link unavailable.

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Observation cbed0c18-78f6-41bd-99ea-b57a7484d031 · outbound

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

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 20

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Observation c24bd2d1-f8eb-4245-b69f-d02b6de6f95c · outbound

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MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 69a73b2e-382c-42bf-9032-3e7befdd2458 · outbound

This paper cites Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Reference 22

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Observation bc44f17c-4c38-4ce7-a2d2-827bcc847373 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 77ac5092-3130-408b-a97f-adea6ac67ea2 · outbound

This paper cites an unresolved cited work.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 2e84709b-0b1c-46b6-9a3c-556d72dbafde · outbound

This paper cites Qwen3 Technical Report.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Qwen3 Technical Report

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 890f6533-5d3c-4937-8e75-fd63a407581d · outbound

This paper cites Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback.

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback

Reference 26

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no resolver link, observed 2026-08-06T13:47:19.009023Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.