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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.699967Z digest=sha256:0c74481776391780f5721175678e8d32f3a781fb4c5df4c3e6960117740f13b4

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:b077882758c62b12fd8c3ac6c044fd415570966e942ea5081d94cb3548481c88

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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source=arxiv_source observed=2026-08-07T10:54:07.719579Z digest=sha256:231f24c84a1cd649c9a40159343b57f57daa81dc97213e7f7e8235f3444356e7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.724870Z digest=sha256:94e44fc95720f30d5bd9b5538872241802df69ca3f926650017c6b943e12b69b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.730340Z digest=sha256:a32fab3f6bd5bbf1a29d282d05377252bfaa74909d2bc84b0395e34a67127489

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=sha256:790151a507aaae21f8d7dfaee058871b934973866f81e73ba6381404ddb78853

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.739222Z digest=sha256:6d4aedecb25a2e252ff39c79560e2706a7aca1849ea347d6d82a76d1dff8f6f9

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:e5e31326a0dccd8e2ab29de5dca5b653a7ca9dbebbcaaea44a49bb469b192131

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=sha256:12d75ea1675707c0ace01e55f36e0ba4f50ac5f56639a9f0e171d20803e26a11

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.752474Z digest=sha256:f1c675af3e6bb45dd0d9c89abe8e5c05273a98482b4b790acd8da9610df34973

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.763721Z digest=sha256:8bb3b62baafce17bd94f2b5c503ef5e6c2971a73881499eb1447121b58f1335a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.769258Z digest=sha256:10f727c43bf5dd145782dc4ac40668184d3266565b0e4ff82e557bd2cb16f8a6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.774895Z digest=sha256:e52f05501a44b0be33f05039243f45f0489d5683cbf560613a6cc24dbc69f761

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.779682Z digest=sha256:ddcbb31194d5595e9d646483a17a4f2b636618595223642efd2b34b337178d3e

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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source=arxiv_source observed=2026-08-07T10:54:07.784925Z digest=sha256:ba9de641ccfa1ad5875f254d51263214ad9ee5c73b604fc4eb527cf72c0093de

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=sha256:66cc015b09298899e3e16a79fbe6667547f31e852114378e689974d15521fa3e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.795586Z digest=sha256:1f5bd9c4d78d84aba09186b2bee0d0d5d3369adc92b814b3adf34cca4eebfda2

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:fea08c0a00affc7c9eea6743f3c06cf99cb22ba41998d8b40444c2dc40923d92

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=sha256:868b2ef3d83fb493b97a0ff7a4274b531dd557d213d684a77de85fa6a2683b51

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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source=arxiv_source observed=2026-08-07T10:54:07.810740Z digest=sha256:e7ed03b94714cd56f2adcfb3773db3d763d867ce853a9309626430752733f83f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.814913Z digest=sha256:987295dc58dacb9faeb1382fc2252c5b7b2641db56ef7fb30fe2cdea0d6eae4a

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=sha256:7249c130ba7adabf88b2bc2fc54d65a63c03709739cad2a60b4a9f9a93db4887

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

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

source=arxiv_source observed=2026-08-07T10:54:07.824395Z digest=sha256:fcee7ca5e663d968d3ac2004335c69615348e3026adca2dad4e3b1e8b466cdaa

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=sha256:782545bb68aa4be2aa966a41896d7cb9406c06ee1a1612f2e3de75983a21aad9

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=sha256:573e3f6c9aab43b714bd61a98c8ca881e6597b0cb5b5d8a6c242497a9ef54977

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.838570Z digest=sha256:71b8ca2c53987b6b2c1d9f7d1759406126c85d9a46e5e15cc14e91d1db8d7b65

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.843023Z digest=sha256:4cdcc13130ab9c94db663f7087c03d53df03e214eb4655c288ef5a347f223132

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.847431Z digest=sha256:05b018bd9d686491830dd06e516d98cc1525ac2c9f973436469e9908dc181445

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:d0678ba583fc22cfec94f230741861f470661c919669d295e431ad1ad78a4847

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.857196Z digest=sha256:adebea9e892273c391323efc7e69a96760d96534dbf7e15619e1c78142c2e9ef

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.862253Z digest=sha256:57770250cf5f00c0f33b7e3bc5b6046e78600c1e3b399a18a806ed2621bbcd2e

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=sha256:69709e0bf5dd2760b721e2e8e1ac0b1e785f26462d97babca2d9a0e805a9fb24

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.870856Z digest=sha256:b2011e51eb88ca03984d4aeee6d03100487dfeab41c7f646c9184fce0853829a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.875213Z digest=sha256:48887c51f10952a8299b8aae1e0f02beeb24c5b4a3a7bbcdba44480fa1249f99

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:07.879920Z digest=sha256:15cb7e6650f9504e8f0e3594fa6de329c74b692ce9bd7de464d805cc962bb228

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=sha256:7ede6d44dd8b78bcffbf5c0e587a5180a4ec08659f3a8bbd5c014f704ef0daf0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:54:07.892013Z digest=sha256:b1f7391eb001bc995c92562aef6aff9d93d1d623bcb8859d58fedc468f5e0796

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=sha256:58e4b38161091c6b92531b016a4210f86d12d727aa77e24b7bdffac7e07e3620

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

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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:d68470224516404eb413d5b3b6e196c5d1bcfa9bd0d7fbb1a8331364ba4d554c

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:d3b8b817d72026f1063101e2615813e9826a21a8611c9400ebeb8ce5288a6303

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=sha256:4492c7d21760242054435d0317925ddb13c9571fae9d11e1a11652fcfecaa911

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=sha256:987634b79d42e2473c1b7b614b882d56729751644dd0c973a8e0021c8aac5d56

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:41:37.207910Z digest=sha256:1b8dbeee3544809b8cac22489ce981bb1ce149f083fbb05e8bc2d2dd423923c2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T06:21:59.735341Z digest=sha256:3957a54fccb4584a09fefa72e0ae6243331af42f5cfc9abb0d040b52ce4696ca

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=sha256:5660a4acde47e82da5233761ad8775974a9976df3b6eb66d000cbe138c2aa1a2