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Paper Citation Record · LEDGER

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

As of 4 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 19 inbound Pith citation observations for arXiv:2605.26494.

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

pith.paper-citation-record.v1
2605.26494 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:10:20.456135Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:38:30.265209Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:57:07.070944Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a92c811-73eb-46d8-b43b-75288e783cba · outbound

This paper cites GQA: Training generalized multi-query transformer models from multi-head checkpoints.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence GQA: Training generalized multi-query transformer models from multi-head checkpoints

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T13:10:19.731765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:19.731765Z digest=sha256:09f543d12af5207ec9a25898356453980c8c3a71514f0af67726a30eaf790806

Observation 30435a4e-c681-4105-8555-c04f669fdae7 · outbound

This paper cites American invitational mathematics examination 2025.https: //www.maa.org/math-competitions/aime,.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence American invitational mathematics examination 2025.https: //www.maa.org/math-competitions/aime,

Reference 4

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unresolved
no resolver link, observed 2026-08-02T13:10:20.129935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:20.129935Z digest=sha256:6f6bb2578c9b4a08f112ccef4a7965867460ac10aa1964ed3b99e5183a483b1a

Observation 0b1d7a23-6941-4050-a417-8a69e51c95a0 · outbound

This paper cites American invitational mathematics examination 2026.https: //www.maa.org/math-competitions/aime,.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence American invitational mathematics examination 2026.https: //www.maa.org/math-competitions/aime,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T13:10:20.286670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:20.286670Z digest=sha256:5b2e6776ab51381806c456146a1d71cec8dee8727bf9a877dee0edd01f81e2d7

Observation c19612f9-097d-406c-9640-cb71bb619ac5 · outbound

This paper cites Wide Search: Benchmarking long-horizon multi-source web research, 2025a.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence Wide Search: Benchmarking long-horizon multi-source web research, 2025a

Reference 2023

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unresolved
no resolver link, observed 2026-08-02T13:10:20.008563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:20.008563Z digest=sha256:4c21fc00b79f2494474e9ffdf9463696e51ecbedaeb4f4c8bbfe9ed47be01ff1

Observation 0f42c610-7ba1-4f74-808d-c39a1bc297d0 · outbound

This paper cites Le, Ed H.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence Le, Ed H

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T13:10:20.456135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:20.456135Z digest=sha256:3fbe1eb80dbc181ddddc35d621a39fdc6a5805fdbd5cbe65392e7a07a100c472

Observation 736873a4-0873-46d0-8260-67f7716fb788 · outbound

This paper cites Dive: Scalingdiversityinagentictasksynthesisforgeneralizable tool use.arXiv preprint arXiv:2603.11076,.

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence Dive: Scalingdiversityinagentictasksynthesisforgeneralizable tool use.arXiv preprint arXiv:2603.11076,

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T13:10:19.860287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:10:19.860287Z digest=sha256:3c0a1fc024c1e1155d373adff122689d90a4cdf4f1c31726833cc4a427238168

Pith citing papers

Observation 6de01c2b-910e-475c-8523-985dab72257b · inbound

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models cites this paper.

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:06:21.105338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T14:38:40.017263Z digest=sha256:f6dd2a3b68cce852e0c296e281a392803e94cddbbca36a89b0f316682169575a

Observation 7cfb61e7-0ec3-4a77-87d8-adc780232bc2 · inbound

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents cites this paper.

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:36:59.490369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T01:07:14.691347Z digest=sha256:378bb36c2029de951398948ed9b64d15899ea3b7acd2b1d3d5dd8afd1cd94016

Observation d5972ae3-0910-4849-88b7-6cb0de1f05cf · inbound

OCELOT: Inference-Leakage Budgets for Privacy-Preserving LLM Agents cites this paper.

OCELOT: Inference-Leakage Budgets for Privacy-Preserving LLM Agents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-03T11:58:06.904405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T09:11:42.204778Z digest=sha256:8f792e7bc1d2a370700df574888ff05795e56c18c76b3230bd36c7fc3330509f

Observation 983a1e56-8f13-4b9e-b5da-9e15c657a09d · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-04T05:09:36.884347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:6a80955cd97d0cfc8d5e39b83f38f9aff3adf00ee2fde48fbcfc3242668279f5

Observation 28e88532-8b0d-4dfb-98ae-1692befcf0fa · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:02.690693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:02.690693Z digest=sha256:6c414d9f64f5775d79f1b5c8026b56f189deea0abbe5963f70c4e4e69f98a3fc

Observation f7db96de-d7ab-44b4-8d4a-c571289b0eae · inbound

CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents cites this paper.

CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:39:44.814892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T08:42:30.418127Z digest=sha256:c5f799bf1907aa8f1f75942345cc3b95ff4b1f46d6f30d2cc5b8cda47158e0cc

Observation 503164c9-3234-4cc9-b0cb-6c0b5de6bf36 · inbound

INCARBench: A Benchmark for Scientific Configuration in VASP INCAR by Large Language Models cites this paper.

INCARBench: A Benchmark for Scientific Configuration in VASP INCAR by Large Language Models The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:19:49.112184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T07:07:50.640269Z digest=sha256:8b03472c5abd5a1577b97a56730e91af9b46632ed68f1eed43aa4edc28279d45

Observation f8ab29d3-b49a-4d5c-8c2a-f4af4bfa4af8 · inbound

Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems cites this paper.

Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T13:57:07.072526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-10T13:47:37.248017Z digest=sha256:457b8aea5eeeb63257e7d84920b50f2ce8146f857e564a5d859769a82ca4ad39

Observation 6af5bdb8-9200-4dc6-b476-6123b0ba3cd7 · inbound

When the Judge Changes, So Does the Measurement: Auditing LLM-as-Judge Reliability cites this paper.

When the Judge Changes, So Does the Measurement: Auditing LLM-as-Judge Reliability The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-10T05:56:50.514836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-10T05:47:32.670216Z digest=sha256:175af9fb5089f0d251025af1a6c1a1bb2b8b4448a37c6d6c8a2864ea25057492

Observation f7d69252-47d5-43e1-a32c-361f9031b298 · inbound

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection cites this paper.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-01T18:14:39.947220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:14:39.947220Z digest=sha256:9294c4d9ad219fddaaf302f54add2c3828fdf8d3b15ad9e8b63fb2278301332b

Observation a3857960-05af-4d4d-9f43-65e1d59ceeba · inbound

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders cites this paper.

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T08:11:26.622369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:11:26.622369Z digest=sha256:9594f13528868b6592cb634bd03a128568e092738ee6b5d2bd78f7ae5ded5f7b

Observation 1a63bafd-7342-4889-abcf-deb3614d4e54 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:54.047136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:54.047136Z digest=sha256:c3e4cc93d4ba3b57f7cbaa54f4f9ad866ff54231d861f27ea187d2ebb1d73fad

Observation 334e3c4e-31eb-41a9-af80-015a5ce95cda · inbound

Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents cites this paper.

Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T18:50:51.326411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:50:51.326411Z digest=sha256:210dc099bb37339b2b5621e2c67af77e7d25b4385e767595e75ffe2f42245660

Observation 71d29c48-fd02-4568-80ea-8db2a3562d85 · inbound

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification cites this paper.

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T00:25:12.123904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:25:12.123904Z digest=sha256:39d0c8046d0d4cbae024259419c0af4117b2fa51e1b1fb87477d9e9d0d12fb5f

Observation a410feff-cd3e-4a6e-93f1-ddb03dec35a5 · inbound

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness cites this paper.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T19:54:08.495514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.495514Z digest=sha256:061f5b19d21bdef18e5fe083e19d99af6d634f06d2e5e13e48e0dbb7489acfb7

Observation 01ff39f7-4134-4fe8-a093-fd46a1324a0c · inbound

Beyond a Single Judge: The Evidence-Grounded, Social-Weighted Persona Panel for Generative UI Evaluation cites this paper.

Beyond a Single Judge: The Evidence-Grounded, Social-Weighted Persona Panel for Generative UI Evaluation The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T07:20:10.826590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T07:20:10.826590Z digest=sha256:3ec95de4051119d25fb1a252db13fa02ca4984d2ba7f0878320cea2cf2939cb0

Observation 77ce4a6a-8f19-4448-b5da-6b341055f233 · inbound

Beyond a Single Judge: The Evidence-Grounded, Social-Weighted Persona Panel for Generative UI Evaluation cites this paper.

Beyond a Single Judge: The Evidence-Grounded, Social-Weighted Persona Panel for Generative UI Evaluation The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T01:25:29.985791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:25:29.985791Z digest=sha256:c6b1d2e99195adc50fe335395d8ceff3f9d5ae9c8aaa348bfc578eee1c054548

Observation b5139b2e-c09d-4c62-b2eb-07db4cafe6c8 · inbound

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning cites this paper.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-07-31T06:09:53.789633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:09:53.789633Z digest=sha256:03ebbe523a6269c3e56c720e3f16a0b3cce7ee613f8d6269d361ca505ba32cf9

Observation 1396abb0-8f61-40f0-a41a-88a3d5fec0c8 · inbound

MMShopBench: A Real-Log Benchmark for Multimodal, Multi-Turn Shopping Agents cites this paper.

MMShopBench: A Real-Log Benchmark for Multimodal, Multi-Turn Shopping Agents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T15:38:30.265209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:38:30.265209Z digest=sha256:745e125e6d79569967edcd1cd03610cae1c28467fc1f0ac090bd8390ff1ee595