Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T09:09:14.884516Z
Paper Citation Record · LEDGER
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
As of 11 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 79 inbound Pith citation observations for arXiv:2410.07985.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:22:29.920179Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
77 of 77 outbound references displayed
- verified exact19
- verified fuzzy48
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch8
External citation measurements
3
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 111cc7e6-2451-4361-aa0d-ca88ac5a2b0e · outbound
This paper cites 2021 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2021 , eprint=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.117310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e9aeaf62-f410-429f-9999-35287294270d · outbound
This paper cites 2021 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2021 , eprint=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.150144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3af6d83b-34fc-4a7a-85f1-b2e1da473f04 · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.152511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 505469b3-8300-4c43-842f-44e6e7ce5d39 · outbound
This paper cites 2022 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2022 , eprint=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.154937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 589dd251-4d28-460a-a33e-6d168d24bb01 · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.157422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c6d9f78e-e229-40f4-896a-0c92ffbe1de5 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.159911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7b13af36-1990-4106-9565-642bbbdbed9d · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.162210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9e155c53-2963-40f3-94ab-6a628b2580f0 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.164666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3c47b969-6e11-404f-b692-08b0e7f5e12c · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.167404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 12844f27-7b36-4e0f-a029-e27d43e9de05 · outbound
This paper cites 2022 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2022 , eprint=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.169670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 642ec3fe-198c-440f-b011-7be415e9772f · outbound
This paper cites Nature , volume=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Nature , volume=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.173492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 50dc1e93-050b-4592-bd36-586791f598f7 · outbound
This paper cites Hugging Face repository , howpublished =.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Hugging Face repository , howpublished =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.176750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d485c82f-a1ce-4ae3-b53c-af0ba529e8ff · outbound
This paper cites 2024 , journal=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , journal=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.179645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e3d42753-0873-4f37-bad3-b09685b7b503 · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.182379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f52c174f-8e6a-4658-9266-560fa96a752f · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.185389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 754cb1f7-23a0-479e-93f7-77da931dd116 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.188878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 366d2d5f-a2f8-4c43-a123-f5d006708522 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.191825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6ea17305-02fe-442e-b22d-4cd4e769fd1a · outbound
This paper cites Journal of the American statistical Association , volume=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Journal of the American statistical Association , volume=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.194968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f5c263ef-df71-4895-b674-4f1e1af72780 · outbound
This paper cites 2023 , url=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , url=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.197398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation adddf800-f79b-437f-94f4-5494c36538ea · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.199781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a3a10510-fd94-4695-a29b-e60e04daffcc · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.202197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 706739d1-378b-48fe-9511-b442ee8857c0 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.204467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bf6928b8-9e69-447e-9d7a-06c97cde6188 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.206638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 57804fda-d753-418c-8e5b-7738767212dc · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.208772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0a304a85-e77f-4e5f-b010-f4b0c4fe4440 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.211792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5af3e1bf-e4e6-44db-a025-42db2db54a46 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.213928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 43125d1c-8e83-489a-95e5-c2b4f1dd63b5 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.215972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6d6e929d-b0dd-47b2-98d3-d2aad9758169 · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.094323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 249eeee5-f771-4c02-9941-a345786ecd45 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.096947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 93c1207e-74cc-44d3-a4ae-0b2981a7c2a5 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.099259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f3cf1fc6-0ed7-4a76-877b-80afac2210a7 · outbound
This paper cites 2023 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2023 , eprint=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.101389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8d83c05e-14f3-4525-ae54-d39510b7ac8d · outbound
This paper cites An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT , volume=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT , volume=
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:14.981330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9fa867a5-85c0-4392-8a3f-bd22735b11e9 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.103601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 09c0cc3f-75bd-41ab-aa35-54d484f05674 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.105832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7a97d095-6e60-46b8-8736-271fc0467445 · outbound
This paper cites an unresolved cited work.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T09:09:15.108004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ad6e1c53-3095-41f6-965e-f75d0ed9d5e1 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.110403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 756c2935-d152-4b32-9643-c94dc7c26072 · outbound
This paper cites an unresolved cited work.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T09:09:15.112558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 02aa4479-120f-4bd4-9a46-c054b88a38a9 · outbound
This paper cites 2017 , publisher=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2017 , publisher=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.115053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4e1d2122-6d4f-44de-b677-8d883edf776c · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.147956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c09868b-e5cb-401f-8cff-d0ebf2cb2936 · outbound
This paper cites 2024 , eprint=.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , eprint=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.119504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0af20043-a3a2-47ad-833c-293a8b067571 · outbound
This paper cites 2024 , howpublished =.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , howpublished =
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.121912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a776d289-69a4-4f03-ba6a-fe9c4860b581 · outbound
This paper cites 2024 , howpublished =.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 2024 , howpublished =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.124416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c9de084d-101d-42eb-bbe8-1a268c138f4f · outbound
This paper cites The Llama 3 Herd of Models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models The Llama 3 Herd of Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.020097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c6123048-fa25-469c-8661-199bd963979f · outbound
This paper cites Mathstral.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Mathstral
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.126660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6c182db5-ea1b-4417-be5b-c356e81147b9 · outbound
This paper cites Claude 3.5.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Claude 3.5
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.129028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dcdd4251-351b-4034-a861-a2f72e6272b3 · outbound
This paper cites Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.030511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 718c13df-d833-4de6-92f7-37674a21ecbe · outbound
This paper cites ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.036018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 38fd9800-16e8-4cc8-bc16-d25f807c602d · outbound
This paper cites Llemma: An Open Language Model For Mathematics.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Llemma: An Open Language Model For Mathematics
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T08:17:47.048289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 345a8872-941e-40c6-a086-813961ca63e8 · outbound
This paper cites Distribution of residual autocorrelations in autoregressive-integrated moving average time series models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Distribution of residual autocorrelations in autoregressive-integrated moving average time series models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.131469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 200f367c-3777-429e-bee8-0ac5ee91faeb · outbound
This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T09:09:15.078017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 41b902db-e93b-49dc-95fa-b5941b896d78 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Training Verifiers to Solve Math Word Problems
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.084609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 55910282-9409-4c43-9999-233ff335fcb5 · outbound
This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T01:06:07.964742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9ca48e62-59a7-42c7-a127-2ce6a7806efe · outbound
This paper cites Problem-Solving Strategies.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Problem-Solving Strategies
Reference 55
- Resolution
- verified exact
- doi, observed 2026-05-15T09:09:14.975632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ed9b2a01-ae68-458c-8954-79d7f91a31ce · outbound
This paper cites MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:14.987082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 174bd1a2-1c24-4758-98fe-7cd4aa632bd7 · outbound
This paper cites LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:14.991946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 36ffdc63-201c-4d1f-88d0-2d8df8affe94 · outbound
This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:14.996702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 089a28c4-3dbf-4bf2-ba7f-979b43201aa9 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.001647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e1fe4b74-821d-4190-b2de-d826281acc9a · outbound
This paper cites OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.006579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 02d4b553-6a98-4c4a-9895-575d3465edef · outbound
This paper cites Qwen2.5-Coder Technical Report.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Qwen2.5-Coder Technical Report
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.011138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b936ff09-3887-48b4-9ff5-c3e429fdd334 · outbound
This paper cites Solving Quantitative Reasoning Problems with Language Models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Solving Quantitative Reasoning Problems with Language Models
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.015382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f606ce41-2851-4a0d-a558-cd6fd85cf1f8 · outbound
This paper cites Numinamath.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Numinamath
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.133576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dffef66e-f120-4612-9347-99c579b7279a · outbound
This paper cites CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.024469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e9627305-6f7f-45f6-9fe3-6b5438bff278 · outbound
This paper cites Gpt-4 technical report.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Gpt-4 technical report
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.136344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 67f2e29f-5fbb-41e7-a92b-897233ffd297 · outbound
This paper cites Learning to reason with llms.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Learning to reason with llms
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.138543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cc2dce73-a10a-48bd-ade3-79fe29458d89 · outbound
This paper cites Code Llama: Open Foundation Models for Code.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Code Llama: Open Foundation Models for Code
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.045633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 372f2faa-7aed-4b5f-8ab0-6b23354cbcab · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.049967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8a75b2ab-cca7-4914-ac35-87d091de9a1e · outbound
This paper cites Solving olympiad geometry without human demonstrations.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Solving olympiad geometry without human demonstrations
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.141280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 817fd360-ae84-4c74-a0cf-b7d6cf23ac86 · outbound
This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.058502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5500fd44-6682-4a2d-8452-5aca098e8a37 · outbound
This paper cites Preserving in-context learning ability in large language model fine-tuning.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Preserving in-context learning ability in large language model fine-tuning
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.143700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 35845f36-317b-421a-94c2-f2807d182c79 · outbound
This paper cites Benchmarking Benchmark Leakage in Large Language Models.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Benchmarking Benchmark Leakage in Large Language Models
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.062242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 136e4829-a1bb-4adb-b945-fd2378d31e71 · outbound
This paper cites Qwen2 Technical Report.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Qwen2 Technical Report
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.065363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4c88fc30-871c-45d3-a12d-950f9e21c535 · outbound
This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:09:15.068275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f8baea53-1534-4f46-8b4d-0b2b7d06328e · outbound
This paper cites Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.071639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ee60e291-cb29-4f52-9319-9e737ce448b5 · outbound
This paper cites InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.075148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3e027ceb-a0f1-4b9e-8ad4-8990c7b47dd4 · outbound
This paper cites The art and craft of problem solving.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models The art and craft of problem solving
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:09:15.145821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 25abb680-ff6a-40a1-8d0d-78b693ab81ef · outbound
This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:29:30.364997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 218aff1b-80eb-48ba-8f6f-138e2144ab7d · outbound
This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:03:04.481585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation 15afcf64-1beb-4bcd-9a12-3cb633a8a7d3 · inbound
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs cites this paper.
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:22:29.920179Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30800675-fe33-4030-8767-e9e2aca13a71 · inbound
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings cites this paper.
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 1978
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:37:58.412771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bb0e081-ff39-4c5d-9db7-e4aa955c24ef · inbound
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach cites this paper.
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:36:40.255920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6f7cb30-a856-48c3-b2c4-36aabad2993d · inbound
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling cites this paper.
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:05:42.995015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e914fe3-e237-4b2a-9699-84239dbf0294 · inbound
Humanity's Last Exam cites this paper.
Humanity's Last Exam Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 12a7c8d0-1ed8-4fc8-82b8-03ae4d6ffb86 · inbound
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models cites this paper.
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:27:46.645948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 906baf4e-c8d2-41ed-9100-66a0d22d47f7 · inbound
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning cites this paper.
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:19:22.206556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1a6b304e-0c60-4719-85e4-d978156008d5 · inbound
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL cites this paper.
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T15:15:46.382972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b94038d3-60fe-489f-aee2-ede6b1573753 · inbound
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:57:13.232377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 91278f42-2e3b-46c9-a8e9-461d97f33d26 · inbound
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models cites this paper.
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T22:15:11.196939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 85cff00c-7d90-46d5-a7ff-42656da1cbae · inbound
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning cites this paper.
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T10:31:04.794480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2e341750-2138-46c8-9ec1-da57a5347267 · inbound
Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.
Reinforcement Learning for Reasoning in Large Language Models with One Training Example Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:51:05.052431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3a56fac1-4f09-493f-ad1f-d88b1ad02e51 · inbound
The Hallucination Tax of Reinforcement Finetuning cites this paper.
The Hallucination Tax of Reinforcement Finetuning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:44:30.864841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f67a7076-9d68-40a0-920b-580c6667ec10 · inbound
SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation cites this paper.
SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:16.630641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae6bea58-246b-4a2f-afdb-9148b5a5af40 · inbound
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning cites this paper.
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:58.842174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 887e1314-3873-42ed-9526-052b06796094 · inbound
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning cites this paper.
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:35.322184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31ca3bd3-192a-4723-a0f4-dd4082dc77b7 · inbound
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs cites this paper.
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:58:42.014658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ee06ac6-e9c8-4669-a56a-d1e83aa8f32b · inbound
Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards cites this paper.
Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:01.324509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c3b15ba-1857-43f8-b4b8-5ab6c984caad · inbound
Formally Solving Answer-Construction Problems in Lean cites this paper.
Formally Solving Answer-Construction Problems in Lean Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:07.262018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb9f2095-3250-48b0-8e20-4e991cea372b · inbound
CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.
CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:18:17.780680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8570983-096a-48d2-96c9-cb11b5ddd572 · inbound
Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning cites this paper.
Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:41:29.732447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69415067-5e5a-4773-98af-3df7ece59e28 · inbound
Decomposing Elements of Problem Solving: What "Math" Does RL Teach? cites this paper.
Decomposing Elements of Problem Solving: What "Math" Does RL Teach? Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:05:25.427253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07659698-598a-4887-90eb-6701309475c2 · inbound
MathArena: Evaluating LLMs on Uncontaminated Math Competitions cites this paper.
MathArena: Evaluating LLMs on Uncontaminated Math Competitions Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 35e7b365-250a-4634-b96e-a7e534e7b8db · inbound
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:42:38.944246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e711829c-0ac3-47de-a042-751ba8441949 · inbound
Reinforcement Pre-Training cites this paper.
Reinforcement Pre-Training Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:26:22.086147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7d0511f-bc7d-4b3f-9910-c310f4ad58b5 · inbound
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search cites this paper.
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:08:20.862537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c5f84c5-589f-4ffe-9226-2f2ca8fa44f7 · inbound
SciDA: Scientific Dynamic Assessor of LLMs cites this paper.
SciDA: Scientific Dynamic Assessor of LLMs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:17.637897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62e2253e-bac5-43a5-9fd5-69693d221042 · inbound
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:14.957669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa384924-2e54-4492-a8df-de4af4faa6ab · inbound
One Token to Fool LLM-as-a-Judge cites this paper.
One Token to Fool LLM-as-a-Judge Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:15:37.080727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32029885-2627-44ca-a02e-fa8a0510044d · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:53:47.832078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06093aef-6291-4c7e-aa5b-3a6027b33ad1 · inbound
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:35:31.417001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4b594e-f0a2-43cc-8651-0f6f4b6a0a1d · inbound
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) cites this paper.
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved) Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:44:49.647176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 400cd132-617b-436b-a6b7-43a1cc4c6d71 · inbound
Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems cites this paper.
Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:11:53.696502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46efc729-4bcc-469c-9444-c125fa14dbf2 · inbound
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:55:07.854608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3ec06ee-2212-451f-a16d-175cb0800d5e · inbound
Throttling Web Agents Using Reasoning Gates cites this paper.
Throttling Web Agents Using Reasoning Gates Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:28:03.943989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98543ed1-8fd0-45c8-9acf-285ac669280c · inbound
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting cites this paper.
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:12:10.137275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aca38e9-be89-4ee7-a789-2e9140c49eef · inbound
RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning cites this paper.
RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:54:48.183408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c49559d-194a-47fc-bfaf-fecdf23671ac · inbound
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:52.348384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfd12c5a-cb70-4bee-8fb7-e4975cf227cf · inbound
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T15:11:32.661126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c4988a27-d134-48c3-8ddb-236d8af9ec9e · inbound
StatEval: A Comprehensive Benchmark for Large Language Models in Statistics cites this paper.
StatEval: A Comprehensive Benchmark for Large Language Models in Statistics Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:36:23.280848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06dfca44-1c00-4d8c-8ece-9b7bb9ab5c00 · inbound
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:55:58.581084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17d1b9ca-423f-438e-a586-6552ca628b97 · inbound
LLaDA2.0: Scaling Up Diffusion Language Models to 100B cites this paper.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7b1cd48c-cbdb-468f-9303-5e6e6d6268d3 · inbound
The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning cites this paper.
The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:42:45.214512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e0d579c9-2615-42c2-8439-a081d552c22b · inbound
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning cites this paper.
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:32:42.552709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dd39d68-61f9-42c5-a67e-6b7a1480586d · inbound
LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics cites this paper.
LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:05:56.217637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab5b8ce9-1ab1-4587-93b8-4af6cc0e48a2 · inbound
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence cites this paper.
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T21:00:05.911327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db0b71ae-c859-4823-9861-72ff92aa634a · inbound
Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents cites this paper.
Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T19:59:59.030585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a524c0e0-bb4c-4317-bf1a-13eaff005a87 · inbound
Riemann-Bench: A Benchmark for Moonshot Mathematics cites this paper.
Riemann-Bench: A Benchmark for Moonshot Mathematics Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 282951e6-a92a-4ea0-b2db-4fbf7f691e22 · inbound
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 98
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 93bd2711-d30d-48f5-afb6-351a5c074111 · inbound
MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval cites this paper.
MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 838ade7f-4b5b-4def-8cd6-70bb4f0a10e2 · inbound
OLLM: Options-based Large Language Models cites this paper.
OLLM: Options-based Large Language Models Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f1c004be-7c19-4585-9da1-f9a2e6d475f6 · inbound
Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving cites this paper.
Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4cd45cc3-8a0d-497b-a96f-578296a69bb5 · inbound
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving cites this paper.
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ca08261e-a418-411e-ba16-d09ca7c1cfa7 · inbound
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity cites this paper.
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 282031cd-6c11-4d82-b87c-0e9cc8b09057 · inbound
Uniform-Correct Policy Optimization: Breaking RLVR's Indifference to Diversity cites this paper.
Uniform-Correct Policy Optimization: Breaking RLVR's Indifference to Diversity Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation df0b4dbe-0944-4a03-9b9b-33ac3c1ab829 · inbound
Verifiable Counterfactual Supervision for Process Reward Models cites this paper.
Verifiable Counterfactual Supervision for Process Reward Models Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9bc3e4fd-85be-4e4a-a740-1c965bd41702 · inbound
You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.
You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cb507dec-0fa6-4004-94fb-048b23aa4fc6 · inbound
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning cites this paper.
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 53ef6107-7bd0-4e64-a5f9-2b8924308ecf · inbound
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs cites this paper.
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fdf3d0ef-00a8-4fef-aa75-ada9cc889f2b · inbound
Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning cites this paper.
Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation af13ff09-c550-4d0e-98ec-439e0bb4be80 · inbound
TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning cites this paper.
TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cc48f11c-e718-463d-919b-7b742f5c0ecd · inbound
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e12b708f-6244-40cb-8a63-c6f760dcef65 · inbound
Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism cites this paper.
Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 103
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T09:09:15.216863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 362cf041-0fe3-45e8-93cd-7629f955998b · inbound
RMA: an Agentic System for Research-Level Mathematical Problems cites this paper.
RMA: an Agentic System for Research-Level Mathematical Problems Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:10:24.176711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4b75cfb3-a1ca-458a-bf81-03c02e72d9f7 · inbound
SkillOpt: Executive Strategy for Self-Evolving Agent Skills cites this paper.
SkillOpt: Executive Strategy for Self-Evolving Agent Skills Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T03:55:21.082658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f66cc439-9b5f-4175-9773-67ea13d92506 · inbound
SkillOpt: Executive Strategy for Self-Evolving Agent Skills cites this paper.
SkillOpt: Executive Strategy for Self-Evolving Agent Skills Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.863669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 90451569-2903-46be-946b-89165f4f4bdc · inbound
RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data cites this paper.
RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T19:43:55.098336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 17200321-6e33-417a-8953-6feca06a231d · inbound
Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information cites this paper.
Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T12:43:25.795466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 377fb678-6ebb-41f5-a322-7c1f5ba8d447 · inbound
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 219
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:47:26.006683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 38de89c2-d281-47f0-ae08-e4f395a9ff85 · inbound
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 221
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:05:18.284698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79c3b2ca-0396-4c14-ae59-cdf5706853f7 · inbound
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty cites this paper.
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T13:10:55.958616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2aecc018-1a2a-4a5e-8c03-b6b612e973a6 · inbound
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction cites this paper.
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T17:15:51.636611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b4d53ea3-6e0a-436d-82fe-6f0fc22e85eb · inbound
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction cites this paper.
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T17:12:24.565155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 604b69a1-63f9-41af-9cbd-e914229b0396 · inbound
Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization cites this paper.
Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T13:15:45.420152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 54ae2a75-170f-4185-8607-c99e59f0dca6 · inbound
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping cites this paper.
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:09:11.486851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96536195-28b5-464e-870e-60c9d5909ec8 · inbound
AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification cites this paper.
AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T02:43:21.225324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f3ef200-f229-4067-a7f3-498e6f885606 · inbound
Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning cites this paper.
Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:34:06.382219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95d6c613-43c4-4846-8694-4ff07d2545a9 · inbound
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information cites this paper.
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:54:32.701608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4263efc-e780-4a88-91e7-e55119155782 · inbound
When RLVR Shrinks the Reasoning Boundary: Diagnosing Pass@k Inversion cites this paper.
When RLVR Shrinks the Reasoning Boundary: Diagnosing Pass@k Inversion Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:14:52.979212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.