Paper Citation Record · LEDGER

MegaMath: Pushing the Limits of Open Math Corpora

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2504.02807.

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

pith.paper-citation-record.v1
2504.02807 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:26.990631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:19.755056Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae8240d8-0d89-450b-876c-8366c45afb75 · 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 MegaMath: Pushing the Limits of Open Math Corpora

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:31:04.809020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3e8cdb0-944d-4456-8938-2f707aa09ed7 · inbound

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining cites this paper.

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining MegaMath: Pushing the Limits of Open Math Corpora

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T22:17:26.990631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd8c1fb-4044-4c16-ad19-8d19fcb7255b · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data MegaMath: Pushing the Limits of Open Math Corpora

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:48.198898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5362a314-eefa-40b4-be62-a8ef38279548 · inbound

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling cites this paper.

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling MegaMath: Pushing the Limits of Open Math Corpora

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:05.518110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3dbeb14-602c-4d70-8146-647992783c2b · inbound

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models cites this paper.

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models MegaMath: Pushing the Limits of Open Math Corpora

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T14:11:53.839697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c31fc7ee-cb1a-4ff3-9d2d-56d5cfbfcc24 · inbound

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment cites this paper.

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment MegaMath: Pushing the Limits of Open Math Corpora

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T13:09:56.610980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fec6ccc-7901-46e4-bde8-044071c19981 · inbound

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points cites this paper.

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points MegaMath: Pushing the Limits of Open Math Corpora

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T05:48:28.931061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0463f911-4d86-4bbf-a55b-5f8430854840 · inbound

Large-Scale Diverse Synthesis for Mid-Training cites this paper.

Large-Scale Diverse Synthesis for Mid-Training MegaMath: Pushing the Limits of Open Math Corpora

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:18.020122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb87b5fe-d310-4f5a-af58-ca3f21acf98a · inbound

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels cites this paper.

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels MegaMath: Pushing the Limits of Open Math Corpora

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:41:08.385978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa55aeea-d813-4721-b0a0-f54de166d265 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models MegaMath: Pushing the Limits of Open Math Corpora

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:43:11.900754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c519137d-8acc-439e-8aae-d8059fb67dd6 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models MegaMath: Pushing the Limits of Open Math Corpora

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T07:31:32.246668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb4dce3-1f12-4166-aedb-7dbdc61ce178 · inbound

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed cites this paper.

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed MegaMath: Pushing the Limits of Open Math Corpora

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:31:19.353758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 920035c9-ef37-49dd-828b-c824dacd4ab9 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence MegaMath: Pushing the Limits of Open Math Corpora

Reference 117

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:40:42.588491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cf21938-6d7c-40af-9c31-44290f068b6c · inbound

Attention Editing: A Versatile Framework for Cross-Architecture Attention Conversion cites this paper.

Attention Editing: A Versatile Framework for Cross-Architecture Attention Conversion MegaMath: Pushing the Limits of Open Math Corpora

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:51.690662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 863957c5-600b-4ccb-8719-4faa51e1a0be · inbound

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? cites this paper.

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? MegaMath: Pushing the Limits of Open Math Corpora

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.631847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b0c20e5-000b-4970-a554-4417eb13a451 · inbound

Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs cites this paper.

Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs MegaMath: Pushing the Limits of Open Math Corpora

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.560275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49691499-9901-4955-a08f-fa2d8ef49915 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale MegaMath: Pushing the Limits of Open Math Corpora

Reference 159

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:17:25.660218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8cf01ed-0b31-4c08-af7a-0b74010af2dc · inbound

Sumi: Open Uniform Diffusion Language Model from Scratch cites this paper.

Sumi: Open Uniform Diffusion Language Model from Scratch MegaMath: Pushing the Limits of Open Math Corpora

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.756409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d01093d-1049-4caf-8613-982f95d96780 · inbound

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data cites this paper.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data MegaMath: Pushing the Limits of Open Math Corpora

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T07:01:45.800728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.