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Paper Citation Record · LEDGER

Verifier-Backed Hard Problem Generation for Mathematical Reasoning

As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.06660.

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

pith.paper-citation-record.v1
2605.06660 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:59:44.850797Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:45:55.487805Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact9
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98e715b7-64f8-417d-8e7b-fcb5940a7704 · outbound

This paper cites Self-play fine-tuning converts weak language models to strong language models.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Self-play fine-tuning converts weak language models to strong language models

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.345502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:bd496012ce68d933286f3b31bb7fd84999648c2a8d7f93edd484776b495795de

Observation f04d1bed-4659-43ee-a3e7-8e10cfb6bec6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Training Verifiers to Solve Math Word Problems

Reference 2

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local_arxiv, observed 2026-05-11T19:26:08.937588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:50a09723a3e1ab1608408d5ddad0342a43f133d78acada89ec757008463166d8

Observation a7312a1f-5a06-4df0-b856-e7ea32700563 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.335489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:a8e5117ac9324eae2d38cdcf33641020845962e20b13f79a57f1fd9b9f7ce8da

Observation 56b63b2b-1f5e-42c7-a2c6-83502a8e5e49 · outbound

This paper cites Prompt curriculum learning for efficient LLM post-training.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Prompt curriculum learning for efficient LLM post-training

Reference 4

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raw_fallback, observed 2026-05-26T13:47:25.337837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:543d17f28e2039fc7071352c7d5785ef3d9d80e711268551fea930f7e4ed01e7

Observation 966b55bf-c798-4291-8595-9054aad647e2 · outbound

This paper cites ToRA: A tool-integrated reasoning agent for mathematical problem solving.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning ToRA: A tool-integrated reasoning agent for mathematical problem solving

Reference 5

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raw_fallback, observed 2026-05-26T13:47:25.332567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:83d0816fa844673f3b16e872c298c05c2628154082011328fd53fcf2ae9f5655

Observation 434b7723-f726-4c0c-8f43-de62e8441b12 · outbound

This paper cites LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:26:08.928001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:887827dfab283e90160bded9527fe55327628885bdda7c2f9957c14c5197f864

Observation e09c6a29-30e9-40df-a57d-f937c37cd982 · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Measuring mathematical problem solving with the MATH dataset

Reference 7

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raw_fallback, observed 2026-05-26T13:47:25.340191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:83b2219efa75a8f85e05cb7fb18281d4d675a01a3e40e2db1b3bcc2ee0fe9219

Observation af500a72-97f9-44c7-a7a8-5fdd93e5f68e · outbound

This paper cites R-Zero: Self-evolving reasoning LLM from zero data.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning R-Zero: Self-evolving reasoning LLM from zero data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.342643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:7e871cbad06ffeaa64cb6604a7989f635183864082a10c0b9a066d618fd5b72f

Observation 4d777bcc-92b5-462b-9889-b1b9c3cfc1e5 · outbound

This paper cites Key-point-driven data synthesis with its enhancement on mathematical reasoning.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Key-point-driven data synthesis with its enhancement on mathematical reasoning

Reference 9

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raw_fallback, observed 2026-05-26T13:47:25.348078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:fc09995f35faa6e174e4ed1f1f1acd0c180addf51939db33e9fd3e365fa2ebe8

Observation 23893d57-5230-49ff-a9e0-f20cc185d087 · outbound

This paper cites URL https://ojs.aaai.org/index.php/AAAI/ article/view/34593.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning URL https://ojs.aaai.org/index.php/AAAI/ article/view/34593

Reference 10

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verified exact
doi, observed 2026-05-08T21:44:16.671159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:d8b4efac5657cf91b08a2f16181fd36cce9492997e315d9fdd6c7cc3fee44d54

Observation d4a409d2-2232-46c3-84b7-b43ade65d11d · outbound

This paper cites Olympiad-level formal mathemati- cal reasoning with reinforcement learning.Nature, 651:607–613.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Olympiad-level formal mathemati- cal reasoning with reinforcement learning.Nature, 651:607–613

Reference 11

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raw_fallback, observed 2026-05-26T13:47:25.353381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:443c510f84d018cfdc019d1a6837ff9611fe413379385dbee41e8f52c4ebcd54

Observation 9fc6954e-708c-4cf8-8213-cc64a0de9f41 · outbound

This paper cites Inference-time reward hacking in large language models.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Inference-time reward hacking in large language models

Reference 12

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raw_fallback, observed 2026-05-26T13:47:25.329944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:d9b0db1a6301627b19e064bfd15b20a02498da79994ebe032322ceb35e13482e

Observation 2749e0b3-7010-4c7c-be4b-9ce168270af4 · outbound

This paper cites Synthesizing verified mathematical problems.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Synthesizing verified mathematical problems

Reference 13

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raw_fallback, observed 2026-05-26T13:47:25.322643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:fde8f8822750d6973ae545986f968db870f7c651fddea3929a0b9be6e66a214d

Observation 4ba36993-ea32-41b0-af5f-beff2d865e4b · outbound

This paper cites Sws: Self-aware weakness-driven problem synthesis in reinforcement learning for llm reasoning.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Sws: Self-aware weakness-driven problem synthesis in reinforcement learning for llm reasoning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.312784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:7964ad804ddedaadd3aff84b71b12865c9a927e334348148715aeae141560777

Observation f57f514b-f99b-4d15-b6fb-5aba05582b81 · outbound

This paper cites Beyond pass@1: Self-play with variational problem synthesis sustains rlvr.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Beyond pass@1: Self-play with variational problem synthesis sustains rlvr

Reference 15

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raw_fallback, observed 2026-05-26T13:47:25.315241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:a33b7c7fde4fec8f5e56a44647b0b8a6c53b1d5dd9b00a56b6ec430bc4f21268

Observation e421bca8-d106-4201-831e-e33086a0f95b · outbound

This paper cites Wizardmath: Empowering mathematical reasoning for large language models via reinforced evol-instruct.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Wizardmath: Empowering mathematical reasoning for large language models via reinforced evol-instruct

Reference 16

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raw_fallback, observed 2026-05-26T13:47:25.320283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:f95f97c6cd6caa7850e23f2a800cfe5e70ca4141d0d662679397bc3129a43f8a

Observation b301eeeb-82a4-4fa9-9552-03902c10c1eb · outbound

This paper cites Sand-math: Using llms to generate novel, difficult and useful mathematics questions and answers.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Sand-math: Using llms to generate novel, difficult and useful mathematics questions and answers

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T19:26:08.960579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:b433d4cd7d93f4d04d5f44b04df7cc6e866c756fb9b60ebb5474ee8797e5eb39

Observation 458a45dd-d082-4a11-b67d-83bb5a5d5e2a · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 18

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arxiv_id, observed 2026-05-11T19:26:08.942219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:a50e72660262d1d27065aeb4c9e08acc8b8e72ac11b9b81001f7fdeefdeeeb60

Observation fe511015-c75e-47e9-a993-4be0bee7ab25 · outbound

This paper cites Learning to reason with LLMs.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Learning to reason with LLMs

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.310177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:084c33ff49be8c93dc9c5feb6077b0fa173d7f9d8d729b3ee85a6a9b6ee7b082

Observation 3ef4a995-e352-4d31-a5a4-f141693f3372 · outbound

This paper cites How to get your LLM to generate challenging problems for evaluation.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning How to get your LLM to generate challenging problems for evaluation

Reference 20

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raw_fallback, observed 2026-05-26T13:47:25.317850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:8ae2e03ad376974dc22bda25409825a0d47e5633fa17bdbfaf0b57d919985541

Observation aeb25f53-c3a2-4ec1-9622-430ce0d471ce · outbound

This paper cites MathFusion: Enhancing mathematical problem-solving of LLM through instruction fusion.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning MathFusion: Enhancing mathematical problem-solving of LLM through instruction fusion

Reference 21

Resolution
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raw_fallback, observed 2026-05-26T13:47:25.325111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:7c78ce403780bbda22beb6ae299d7f3b7403f41b81bba6650a6fb546544d4491

Observation f2949b5b-c35e-4031-997c-8ca6da2a9029 · outbound

This paper cites doi: 10.18653/v1/2025.acl-long.367.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning doi: 10.18653/v1/2025.acl-long.367

Reference 22

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doi, observed 2026-05-08T21:44:16.684821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:99a65fa79be0b6b7810beb64166f9c360672ccbafa3234e485a77e6dff8659d6

Observation 1dc17467-84b1-4bf5-bf39-2a858fde74b2 · outbound

This paper cites an unresolved cited work.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:9e531e60c432c6fb6a1d03487c390bf8f865b7aa46de6e7f55986f91d06a9a7e

Observation d266514e-7af1-4913-82b8-028f4c2fe04a · outbound

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

Verifier-Backed Hard Problem Generation for Mathematical Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:26:08.956343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:0c86e6e8b7f669108b2fbf66f8fc100b10c7b302538e859e3c7eef4b6002b9ff

Observation e1054559-b20a-443f-8ea7-863c490f7ede · outbound

This paper cites MathScale: Scaling instruction tuning for mathematical reasoning.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning MathScale: Scaling instruction tuning for mathematical reasoning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.350607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:4791bbc8664e532d35fd0c59d6d1ca0e26c61f8c46c1c22148c97ca5a9dfcf9c

Observation 5241ff84-76de-46bc-b2a9-31fc08455295 · outbound

This paper cites Openmathinstruct-2: Accelerating ai for math with massive open-source instruction data.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Openmathinstruct-2: Accelerating ai for math with massive open-source instruction data

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.302107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:dfe4e902e44032b91ad0c332fc012c6578f32f419b6e79e5bf9600d06d56c389

Observation 73e9beee-66bb-4d51-aeae-433a1b0a3567 · outbound

This paper cites Trinh, Yuhuai Wu, Quoc V.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Trinh, Yuhuai Wu, Quoc V

Reference 27

Resolution
malformed identifier
raw_fallback, observed 2026-05-26T13:47:25.299187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:3a9d77691a6c70e47c14a0263403dfd3130466088c46ca3265cbfd864d69d762

Observation a48c0be4-6b0c-4213-8155-262274143fc4 · outbound

This paper cites SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:08.915509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:33628fb375142c233d71952cf0731caa61982803dbeafb39ef3830d13dcdf9e9

Observation 6ef1b244-08fd-4772-98fb-22ec89ec715f · outbound

This paper cites Metamath: Bootstrap your own mathematical questions for large language models.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Metamath: Bootstrap your own mathematical questions for large language models

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.304551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:f94129e61507f64471b993ae36b6699c946efafcc1862ef85873b79f28bcda43

Observation 2f392c3e-38bd-46d4-a8b7-255a9bff01e1 · outbound

This paper cites an unresolved cited work.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-05-26T13:47:25.296850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:520e32f8c42ef198438d7814450160f57978e566dc55595fe996b063c0a5f605

Observation c4ea1b7a-6c88-4b7c-96be-bdcce6ee22d5 · outbound

This paper cites Mathsmith: Towards extremely hard mathematical reasoning by forging synthetic problems with a reinforced policy.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Mathsmith: Towards extremely hard mathematical reasoning by forging synthetic problems with a reinforced policy

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:08.922934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:b612007a8824b02d535002ac6d4d585469b1b5e64d0da0de4e8ef3db096dff0e

Observation 685742c1-9dab-4de8-96a7-63976d3c8795 · outbound

This paper cites Absolute zero: Reinforced self-play reasoning with zero data.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Absolute zero: Reinforced self-play reasoning with zero data

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:47:25.307085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:42c1486d86d9590d6e21da146e9226c4d80c38e5748c17a7a508a24413fe8779

Observation 822090db-b270-4bf7-afa5-72385c2babad · outbound

This paper cites Accepted.

Verifier-Backed Hard Problem Generation for Mathematical Reasoning Accepted

Reference 33

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verified exact
doi, observed 2026-05-08T21:44:16.689371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:59:44.850797Z digest=sha256:6b4f80701554f18990960f88cac3e225248c1179a82849e4fed74d81f23ffccb

Pith citing papers

Observation a8b23a72-c239-4015-8200-ca2bc726971b · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Verifier-Backed Hard Problem Generation for Mathematical Reasoning

Reference 124

Resolution
verified exact
local_arxiv, observed 2026-07-09T03:45:55.489138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T03:36:57.168246Z digest=sha256:64836db674dd03766c82777f1de15645a47206f51c51a515b4760b45963f357c