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Paper Citation Record · LEDGER

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 4 inbound Pith citation observations for arXiv:2506.04065.

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

pith.paper-citation-record.v1
2506.04065 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:07.910480Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:01:38.397239Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:21:00.320358Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4d47b2b-dbce-47d3-8ac5-0f08af884214 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-07T10:54:08.889317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.699967Z digest=sha256:365e97a3062c856a0f8279f33015f05af4214f6aba44b1ed40798ffa0112540d

Observation b4dfd18e-d471-446f-a037-45001cb2e212 · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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no resolver link, observed 2026-08-07T10:54:07.714001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.714001Z digest=sha256:49a3fef3f6c7a8221ec85c198de61ee994786b678f25884d67b646229f9def68

Observation 94980938-e7ef-45cd-afb0-5e77c8156dbc · outbound

This paper cites Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling

Reference 3

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no resolver link, observed 2026-08-07T10:54:07.719579Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.719579Z digest=sha256:f2b619317853eece398d8a6a83f1522f8e3eb7df63bfd28250e7c21e3faab534

Observation b6e0db35-2428-4b7f-874d-f040a033b798 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-07T10:54:08.867769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.724870Z digest=sha256:b24b64ce526336c51e2bfe63a5efc3439e1a9a200dcd8e94a409e5547a4d15f5

Observation 64fd09d7-69b3-4703-9d9d-2ffd53b4716a · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-07T10:54:08.846616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.730340Z digest=sha256:526b65c166d9ded0919b3b21013d90b8333288712753a044dc77c4d39548bd9d

Observation 57bd6d9a-f618-492c-ab14-d9f387452cb8 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 6

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no resolver link, observed 2026-08-07T10:54:07.734463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.734463Z digest=sha256:2517acd1db3faff1ea569d6bf9b24edaef1fb76b04a46cacf971596deb844fe4

Observation 60ac9d92-ebf1-4b98-b918-a56ee74e33e1 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-07T10:54:08.830747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.739222Z digest=sha256:0579837ffe56464c2763d546e67b457e66139deb1740bb04036a4330d754919b

Observation 3d4d7f9c-aab6-4395-a53b-fa746fb32954 · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

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no resolver link, observed 2026-08-07T10:54:07.743097Z

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source=arxiv_source observed=2026-08-07T10:54:07.743097Z digest=sha256:b6d08356b5463456371fe37897abb42618363aff7359cecc4404f13321f05d94

Observation 13d40178-d806-4263-b0ee-c05ca2782d71 · outbound

This paper cites RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning

Reference 9

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no resolver link, observed 2026-08-07T10:54:07.747188Z

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source=arxiv_source observed=2026-08-07T10:54:07.747188Z digest=sha256:bf6329b5641e16d0f4bfe4240b3e49e79422cf27c95b684e6ac2fdcdd3207c66

Observation 74d58c1d-7baf-4877-af6e-ab1bdd01c8a1 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-07T10:54:08.804901Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.752474Z digest=sha256:0a63c233f2c9a54e05ecea5e0de3e40be15ff40e1cbc1a7a04522643ef262152

Observation 4cef89bb-8a64-41c6-be99-b561e748fe25 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-07T10:54:08.786454Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.763721Z digest=sha256:fb4ee6841c7261e0d10f6a48b7f4a41d9f3f74a07be4d0ae0801c16840bb8b66

Observation 4306c172-a457-4628-8f33-bf8d079f2aa1 · outbound

This paper cites Lee and Yeong-Tae Song.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Lee and Yeong-Tae Song

Reference 12

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verified exact
raw_fallback, observed 2026-08-07T10:54:08.571370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.769258Z digest=sha256:8de1255b66a6c20ce2105005281b2332670a280172bc7e1aef8c7ae562dcf91c

Observation 6af3ac2c-237a-4e9b-b519-5de7d147b83d · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 13

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no resolver link, observed 2026-08-07T10:54:07.774895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.774895Z digest=sha256:bfc2c98ede0df21490df09598c47f27730b1d0999327508220e3c78ee5917a91

Observation 55772574-9803-43b6-9db5-5ea74697f207 · outbound

This paper cites Let's Verify Step by Step.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Let's Verify Step by Step

Reference 14

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no resolver link, observed 2026-08-07T10:54:07.779682Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.779682Z digest=sha256:872c0922a1acb2fa5634e4af58a5a1c6ea0eed4856bf977c9a02a2997726ee67

Observation a30d1f0d-5a41-4737-a093-def780a85f8b · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 15

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no resolver link, observed 2026-08-07T10:54:07.784925Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.784925Z digest=sha256:e4841000c513862d51764c8f828cb06df13583e4d906661f3be5962f0392f4b0

Observation b2cb4f65-b5b7-41c3-ab44-f1004e6de99a · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning ReFT: Reasoning with Reinforced Fine-Tuning

Reference 16

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no resolver link, observed 2026-08-07T10:54:07.790412Z

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source=arxiv_source observed=2026-08-07T10:54:07.790412Z digest=sha256:399ac842f8a3ab0c1ea912057b5f6a77fe99766b450d92f9ca65ac3af67405ae

Observation 1d65934a-13c2-4695-8d3f-7e4726f1ae05 · outbound

This paper cites Plug-and-Play Training Framework for Preference Optimization.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Plug-and-Play Training Framework for Preference Optimization

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:54:08.303337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.795586Z digest=sha256:78b13b6ef7460c259dd99dcaf4ae1885827bfa778e495b9e9bf482cba4aa8ed2

Observation d83b587f-3b76-417d-b266-9117209a0ca3 · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 18

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source=arxiv_source observed=2026-08-07T10:54:07.800218Z digest=sha256:8c79edc8debcb0a103a890ef2b29c76696231a2393e73623ac78d21a27617455

Observation c750866f-3dbf-4f8d-8ed4-41e17fa0ed10 · outbound

This paper cites OpenAI o1 System Card.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning OpenAI o1 System Card

Reference 19

Resolution
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no resolver link, observed 2026-08-07T10:54:07.805616Z

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source=arxiv_source observed=2026-08-07T10:54:07.805616Z digest=sha256:087c48d3b951ba58b7ab098b00610dd0ec243fa0e0b192342d69bf2a146c2b2d

Observation 73aeee38-8e63-4653-9407-46fd7b04b0d7 · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.810740Z digest=sha256:c6825bd225c89220541f124f6b074fabaaa0a7ded2c566766fd1e0196eb5b9f2

Observation 63cfe6f4-87a0-4c22-8372-d9b700c52ad2 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-07T10:54:08.769759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.814913Z digest=sha256:ac65f34a6f66ca9b84dae92423cd92dbe1ad956e2d112cc7c87fa3e00cbb1deb

Observation 8ac3d09e-17c3-43d5-bf9b-1db0b93313b1 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 22

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source=arxiv_source observed=2026-08-07T10:54:07.819528Z digest=sha256:9a6eacf4ed5a0b05427a2bbeda2f8ddad577836f72c0db34dd0562bd30686ca1

Observation 3ff857b0-6838-4345-b9e2-6e7207a51f05 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-07T10:54:08.753082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.824395Z digest=sha256:0385c6287b7c3d8c6cdfc39eb2bb3c9952abbf65aeb8204910a61c0cf95f298d

Observation aacff9fa-281f-4129-b24e-fa6d75107340 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 24

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no resolver link, observed 2026-08-07T10:54:07.829698Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.829698Z digest=sha256:ac91f599c360be098d3b48b3668ae461c74180fdc102b37ac48a35489ca9e2da

Observation d510c042-75f5-4d2f-bb83-43014fe6bb88 · outbound

This paper cites SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning

Reference 25

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no resolver link, observed 2026-08-07T10:54:07.834463Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.834463Z digest=sha256:502e3ddbed87e22f08da46910195f24a4ba57d0ff5850586d0c9b9f13e1388e2

Observation 235ad0e0-a4d8-4234-93ea-98d1f2f340ca · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 26

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no resolver link, observed 2026-08-07T10:54:07.838570Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.838570Z digest=sha256:1c2ecd391d62ac5541f0f138f0bf2254a8568348ebfe89360349457e39decd32

Observation 53f0a6f1-bd5d-47fc-89c6-ce564c769a52 · outbound

This paper cites Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Reference 27

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no resolver link, observed 2026-08-07T10:54:07.843023Z

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source=arxiv_source observed=2026-08-07T10:54:07.843023Z digest=sha256:4f196ddb01c338e91292db665d9078ee695375cd8b98cdb9646f982cbbc4e06c

Observation a9baad6e-f494-4251-8682-220fd50f1103 · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 28

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no resolver link, observed 2026-08-07T10:54:07.847431Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.847431Z digest=sha256:da170c03bd69ddedcc8607a3af2b723244416619f6d3715ca85f1ea8995033c6

Observation cd8061c8-b4d9-4a81-9402-0c1d02f90f34 · outbound

This paper cites Grade Like a Human: Rethinking Automated Assessment with Large Language Models.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Grade Like a Human: Rethinking Automated Assessment with Large Language Models

Reference 29

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no resolver link, observed 2026-08-07T10:54:07.852261Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.852261Z digest=sha256:4b9df692d99d016ce0533b6adfe6d49824bca366c5bd121008aaf89a26718171

Observation ec6a4f29-4cf3-4aca-8b67-e87c9bb972fb · outbound

This paper cites DAST: Difficulty-Aware Self-Training on Large Language Models.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DAST: Difficulty-Aware Self-Training on Large Language Models

Reference 30

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verified exact
local_arxiv, observed 2026-08-07T10:54:08.085093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.857196Z digest=sha256:8c8cd31a557cd6623e5744cd01145042434065778ece1fac571e18b4fd72a236

Observation bb3f13a7-a343-46bc-a136-b48ea4869363 · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 31

Resolution
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raw_fallback, observed 2026-08-07T10:54:08.738979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.862253Z digest=sha256:d695574d7499794735cd9c90f50790620d2d6dfa94f057fcbeda9b06b32deef1

Observation 264cb7f0-62f8-4438-a000-9ff252d273e9 · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 32

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no resolver link, observed 2026-08-07T10:54:07.866475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.866475Z digest=sha256:99b708c1636f25d1dc1941cf26889a3c509f616e4e92455f5d133bf3ffd58db8

Observation ae02c8c2-824d-4188-926e-b4aa1678da7f · outbound

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

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 33

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no resolver link, observed 2026-08-07T10:54:07.870856Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.870856Z digest=sha256:96af3c50abdb4c69f5f1c23c5f782a6b4901dca7112138ebfea2785d2bb9d6d5

Observation 43fc11a3-37d9-4aed-a4af-3d44e94031d9 · outbound

This paper cites Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Reference 34

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no resolver link, observed 2026-08-07T10:54:07.875213Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.875213Z digest=sha256:259366345f6991f9ee7aceb54d438d07bdc9a761fb52e868a7c8af789933c880

Observation cc8061b9-0501-46c6-91d5-3c98e6d708ca · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 35

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no resolver link, observed 2026-08-07T10:54:07.879920Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.879920Z digest=sha256:f700e9bc58a7d3cf0c7704429abe7118a9b243aede7bb5508b049f23d64e7eae

Observation 34ba4b75-b359-412c-bb61-014dd1a99edf · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:07.887430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.887430Z digest=sha256:f6e0fd4ca26e3fb39e00ffd5a5c6f22c720b83eab123ca88e723a9491ab3056f

Observation 6f3f3c50-b686-4368-bd91-48783924fb3f · outbound

This paper cites an unresolved cited work.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:54:08.724379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.892013Z digest=sha256:1c3f18712754153d661278afd1f664f3ce2c5a89a846908c9e39b03e2c2a1a48

Observation adb25552-0bec-4721-b02f-1efce9c2f2a1 · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:07.896309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.896309Z digest=sha256:801dec70ece8cd4d9cb3f1c8964b2d0ff722058da0a65505bce282811176b692

Observation 212f991b-dd69-43b5-86b1-6e994d96212a · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:07.901334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.901334Z digest=sha256:8034abe9965ca2d49c34da948dc7b4b4560534ba162f8089ff9ef87f4ef32918

Observation fe7da2af-03c0-4d6c-b27d-9b90d4a8bfc6 · outbound

This paper cites online" 'onlinestring :=.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:07.905619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.905619Z digest=sha256:15b961e49f8cd614105e38ab4d73eccad966dff20dc38d28fec020332f55db5e

Observation ab274380-7471-4f9d-baa4-7b4a5312b99c · outbound

This paper cites write newline.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:07.910480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.910480Z digest=sha256:01b48f78098cc2c5e721e470aad7dac318be55a63dd2b3e261fce0d06a50fc92

Pith citing papers

Observation 3e547cae-2550-4984-986d-a92f03a72226 · inbound

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching cites this paper.

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T12:01:38.397239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:01:38.397239Z digest=sha256:27ed5bab17ed292394e7222f304e817b5dc82e66ab34da285721ada1b1c4cecc

Observation 57a0f97b-2db0-4ee6-89e8-fb0b5f630d28 · inbound

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models cites this paper.

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:21:00.326165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:41:37.207910Z digest=sha256:71c095a74241ae29dfaa8ac86c56c35ad147becddd5938a2462d21280c75fec3

Observation 70ff3f18-7b2b-4eb0-b3ea-5908889f7d41 · inbound

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization cites this paper.

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.704112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T06:21:59.735341Z digest=sha256:a9833ab1bad799602d625f54fd8b2ea4815bddb7b0a7d383e97fe59f2553eb25

Observation 49f7204f-3d94-4c12-bf6b-fbaa660f5708 · inbound

Multi-Granularity Reasoning for Natural Language Inference cites this paper.

Multi-Granularity Reasoning for Natural Language Inference Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-12T19:07:54.710156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:07:54.710156Z digest=sha256:0e09469729daabc97c06cbd95b2eeab721365c04ce2f53cb89ae0c91c337488b