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Paper Citation Record · LEDGER

Mixtral of Experts

As of 4 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 100 inbound Pith citation observations for arXiv:2401.04088.

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

pith.paper-citation-record.v1
2401.04088 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:09:15.921778Z

measured 135 of 135 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 461 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:51:28.288709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:47.028679Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact26
  • verified fuzzy8
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b9a2fcb-96ba-45bf-87ad-1ccbd7ab2cbf · outbound

This paper cites Program Synthesis with Large Language Models.

Mixtral of Experts Program Synthesis with Large Language Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.810831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:240294ce7103b9f1d6402067d75a410f3d5e31c949344d7db0bc80df925c5c20

Observation 3f9de284-299a-489f-87cc-557c924beed1 · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Mixtral of Experts Llemma: An Open Language Model For Mathematics

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.744860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:6bfe554cfcdee9c8f5236990c61f7ec7d5be9bf798b6f4cb4459eea424bf0ccd

Observation 3aa607f2-91a1-4b1c-8aa8-218fb0ec71f8 · outbound

This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.

Mixtral of Experts Piqa: Reasoning about phys- ical commonsense in natural language

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.234850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:4e467ef4e6b12bca7b2e44f263d0d641d0a1940ddd3d77d2498cd1e220bdc3d0

Observation 8837baa4-7275-4218-9361-69eb425cd406 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Mixtral of Experts Evaluating Large Language Models Trained on Code

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.749937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:4c547c5fb48bd35c36e870e39156c0f0977931603521f6c8b3492d33f2643607

Observation 779f510a-51b4-4c3c-a906-19deb0466515 · outbound

This paper cites QuAC : Question Answering in Context.

Mixtral of Experts QuAC : Question Answering in Context

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.790776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:6534468c8083ed1ba20625f00bccf10e6227ae1ee68ef7336594c006c9c01464

Observation 4da2f066-d3d6-4ea7-ad51-24500aa207a2 · outbound

This paper cites Unified scaling laws for routed language models.

Mixtral of Experts Unified scaling laws for routed language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.227339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:845a7c5e411f5b9f9f1bd8748c9252cae1b52b99f8644fbce3376c2eb9655d5e

Observation d476afc5-7bef-4317-8cf5-96da97e480ad · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Mixtral of Experts BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.862210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:126b07862d2f379e030d077dcc2c1a841ff175d8104d3298afc234bef52e7ab4

Observation ebd52f3d-6daf-489e-9896-f5f4f7243334 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Mixtral of Experts Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.857063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:831fae09526d0d67c48b2a4fe97e1667096dbe819cba204213b5749f2061d5d9

Observation 34da021c-27d3-430b-a922-acfd9da61881 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mixtral of Experts Training Verifiers to Solve Math Word Problems

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.868476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:0f26dfb54b4994f6082c0e989f557d6b66a7080f545d8c02b5c5cf3a93173e41

Observation f36656ff-d0dd-4284-8018-030edc227223 · outbound

This paper cites Bold: Dataset and metrics for measuring biases in open-ended language generation.

Mixtral of Experts Bold: Dataset and metrics for measuring biases in open-ended language generation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.223445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:5269450d047988df80cd8347a0e667abec05dd5dc0808481fc016246e7e97e05

Observation b7b9dc76-8433-4408-b2b3-edbc5d6a2998 · outbound

This paper cites Fast Inference of Mixture-of-Experts Language Models with Offloading.

Mixtral of Experts Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-24T04:13:53.768565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:950846421106a19bda09e7df42a6d97d6ae506a12e8c976ab485b10f58a45360

Observation 2753fb62-ed43-4c9e-aef8-5244b97c4a18 · outbound

This paper cites A Review of Sparse Expert Models in Deep Learning.

Mixtral of Experts A Review of Sparse Expert Models in Deep Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:53.783980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:4ff4a95b0566a63e97908b227c45b2f362193ce0cf8afd0fe49c26f3daf6a168

Observation 405b044b-1f8b-4e02-ab51-dfb4f02a968f · outbound

This paper cites MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.

Mixtral of Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:53.846793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:7920e70e350c1a452258d287b6573f671d39dbf6ee5d985822d4ff78224abbc4

Observation e2116fbd-2c71-4731-8180-0e932276cdea · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Mixtral of Experts The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.773949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:29116c900cf8befcdef3206c95bc44a8a04a2cd8447d75463bdd55aaa983469c

Observation 986cb400-498d-49a3-8ec2-7b941d3e47d8 · outbound

This paper cites Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning.

Mixtral of Experts Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.219068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:9ce1dcb09a5da33fc4738d80956a35fd899b2eead5f9a8cf7f66937834e64cc7

Observation 24e32a79-ead7-4bf8-9984-76e720d70354 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Mixtral of Experts Measuring Massive Multitask Language Understanding

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.778486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:2d0163d8ec8093b77e83387377213e88d0fd3ec579cdb2f6e3df4d7cd636145a

Observation a9accd30-1292-455c-bf10-ffbfa84e069b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Mixtral of Experts Measuring Mathematical Problem Solving With the MATH Dataset

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.829710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:6f85b99d9702e321d16e7f98df7cbdd66fe4ee8dff4a1a26bb53eddae590b7dc

Observation 33fd6da0-93de-4202-9ec3-75a32e41f1da · outbound

This paper cites Mistral 7B.

Mixtral of Experts Mistral 7B

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.851374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:90ae684448756dda534d5fa0f948ffbdaa0aaebcefb53ac7ae2031ca14786791

Observation 17a3179b-18e2-4674-9127-57a526599cb5 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Mixtral of Experts TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.835210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:b201819794f2d6d3aaf1948d37270a9c8b1ef6bee940ec273e687d4a981153e5

Observation e09ed9b8-221e-4a7b-bace-86b236a383c4 · outbound

This paper cites Natural questions: a benchmark for question answering research.

Mixtral of Experts Natural questions: a benchmark for question answering research

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.231044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:afbf66b0035515143a1fd80d8699701eafce381f89b0613ef4f62c6f135ef621

Observation ff7b3578-3569-41fe-8cc8-55e035fc4aa7 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Mixtral of Experts GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.895361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:552b2985790e9be68e68628cfc6de12b58f43fe973bfba46e6e8bf445f3a7e6e

Observation b6a19a1a-79d8-4929-bd00-a9aef1e40b1d · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Mixtral of Experts Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.761949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:5adeb58396f775e32bee15ea8ed96d0ffc61b9058097257b4e4605c5f176fd88

Observation 67e0ee0c-4165-47d1-ab67-f7f3cc89b151 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

Mixtral of Experts Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:53.818560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:e89c899d0a3439195d30113d502101db68264577f5c1e43c2ee56d98b4697190

Observation a4768c18-1387-446d-8d25-53e827410568 · outbound

This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

Mixtral of Experts BBQ: A Hand-Built Bias Benchmark for Question Answering

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.805175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:8da4f64c22dd71444478a73bb5baf1acd8a99941cbb8fbc291a2ba9da5f6bea3

Observation 69582b61-1ccf-4df7-adf1-7d5255b778af · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Mixtral of Experts Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.799393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:6795a7316cff11deb9f5382d0fa43bd623d78d3662e1689b072cbb91c749b957

Observation 3196a46a-4d59-4864-8ffa-500734d4c9ba · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Mixtral of Experts Winogrande: An adversarial winograd schema challenge at scale

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.214575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:28b8db2b4245db19041ede4fb5c08b1a5d2f95cfe09b9e97c8ec18837f7db7ac

Observation 48c314fa-b46b-424d-bc7f-7f8eb0a01606 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Mixtral of Experts SocialIQA: Commonsense Reasoning about Social Interactions

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.881746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:47f5d6161920e17b6c4a0b622982635c40b8036aca21e8aff101bbeea0f7fe12

Observation 791a3e8b-b1b3-4f19-9f7e-90729ad8dc24 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Mixtral of Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.824217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:5f6e901dbc3b223e21556037f75298c56f8c604e7ab3c99cfdb63c78db653665

Observation e9d23976-1bd5-4960-8377-340f7f31e2bf · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Mixtral of Experts Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.877887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:d9865ce7c6236d8aa1e32573c46d00210ec9692fb3e1ffe2db8afe895bbcf66a

Observation c27d3538-2b88-4a67-a3d2-face73cf6f8a · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Mixtral of Experts CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.757097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:deb1a221a38bdeb34c7c827ebe127c559351e2960b86082c186441f06d775d97

Observation 3f3d4383-9bdd-482c-a5fc-8bb725328700 · outbound

This paper cites Attention is all you need.

Mixtral of Experts Attention is all you need

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.210342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:3282e30a0cd23ddd271b708f114e33b5a86fd858ac7babc3b418d685f1b7cb6e

Observation 0e2e1151-378f-41d2-94f3-3ce700f9f533 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Mixtral of Experts HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.873071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:ae53738f5c3b6b780f1e3c6bdf73ea40768b03755644fc5c14bb5b074856ecac

Observation f2032401-9541-4524-aaa3-25603ee12505 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Mixtral of Experts Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.885898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:ad90a25ca158d689913c9bbfb703d416c9adedb955cfc8424750164ad51e7d60

Observation 321e39c8-7012-4f44-9288-52993abeb961 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Mixtral of Experts AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.841009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:428ef09835b7e8b0f799ebb49d2929fabbaface074b18dbf5ea0585011878d04

Observation 4a8feeda-0600-413c-93c2-e6c60279abd7 · outbound

This paper cites Either choice.

Mixtral of Experts Either choice

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T05:58:59.202785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:05fb78be06bfc53d62fecaade2a725630ab82d949c566c52d37b6e2d7cca9838

Pith citing papers

Observation 05c45949-bf43-4c14-b603-62a84025968d · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Mixtral of Experts

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:46:39.613501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:e3f11172bbf1ed32b39e24a8b7af104bccb50a0095da7b3b43fefecd2661d687

Observation 6544a83d-4c87-4ce2-86e7-2b3948f15467 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Mixtral of Experts

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:56:42.541781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:af036b5a9be1b9b45f739d17bcf58281da707418c768d73892b516313c8f2f78

Observation e88c493e-4ea4-44f2-a79e-04395ba29cc6 · inbound

SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs Mixtral of Experts

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-12T08:20:01.149376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T08:20:01.011625Z digest=sha256:e4a599f178336f9727c21097c55abe54807d83e52fa5e743c577e6ad14ff0de2

Observation d492cb37-ada8-4dd5-a034-22393f97a75a · inbound

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty cites this paper.

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Mixtral of Experts

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T00:15:49.427862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T00:15:49.303458Z digest=sha256:517ceb8b8a66ab457e361b78599105a8788abde341f9e8629e6adcf89a5e61da

Observation a71e7aa4-5717-4722-a9ef-e779bae83a89 · inbound

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries cites this paper.

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries Mixtral of Experts

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:54:19.692546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T13:54:19.264893Z digest=sha256:c66a2a6874ca2c774186830404a9ffd0b130119edba3b19511025a7ec2228762

Observation badac65a-90cf-4887-9d43-cc27a2a2f413 · inbound

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model cites this paper.

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model Mixtral of Experts

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:30:27.788417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T05:30:27.667126Z digest=sha256:a982d61b444f7b97f472fde603f692b24e4aef02a67c7626c27968cc6589e738

Observation f0deb5c6-4b27-4891-ad86-c9d316c459e7 · inbound

OLMo: Accelerating the Science of Language Models cites this paper.

OLMo: Accelerating the Science of Language Models Mixtral of Experts

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:00:15.752514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T23:00:15.714611Z digest=sha256:c3bfe36774a8c2a0c203f3a276f7c49a5ccef9cde2a68c2ec25a0664a3d7804e

Observation 0e590271-7b73-4576-916b-c3fc531a948e · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Mixtral of Experts

Reference 128

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T07:02:54.011218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:edf4219863f4692ef67710e6e54dec40a4ad1bf4591c7f4edbc0732bdff5b252

Observation 19b78b11-fcbc-4741-aa0c-5fd71602dc4d · inbound

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? cites this paper.

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Mixtral of Experts

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:29:30.171982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T01:29:30.032408Z digest=sha256:ff640fef444472aefe29aa092badfcab726bdbba90fa5e85c571b3f65c0c8a97

Observation 82088e0a-07f8-41ff-b6ae-c037d032c588 · inbound

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models cites this paper.

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models Mixtral of Experts

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-17T07:44:47.517197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T07:44:47.355960Z digest=sha256:b968854051e6faafc694e85f4fd55a63ae4f74deb4c9216b771b52df53c37e30

Observation 2285201c-dedf-4bda-991a-792f5a904794 · inbound

Jamba: A Hybrid Transformer-Mamba Language Model cites this paper.

Jamba: A Hybrid Transformer-Mamba Language Model Mixtral of Experts

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-13T14:11:27.190938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T14:11:27.156350Z digest=sha256:9a9f16a2e4eb3718c95d8d783784e5542a5a49e83078f4ca54065f0eab1ff11e

Observation 0ce13ce2-dd3b-4867-a899-3e60ced8f50c · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-12T19:41:44.512729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T19:41:44.263663Z digest=sha256:99e8df17ac67a028fdc01fc13bfa0dae3274e3bdfd623d1ab29668447c4b63b0

Observation 31ddbe07-947e-412c-b49b-1f4779586d60 · inbound

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Mixtral of Experts

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:08:05.617244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T06:08:05.386345Z digest=sha256:05111bcd0b85cf91caa9785db46c6e36478c934a15e56b139244000854bf1942

Observation 49d4e094-3781-408e-afac-9381e65c4538 · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:55:20.638569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:f8e2072a330a20d833a17948edb90ad904642c14d88b44498b8f9ef68c75ef1f

Observation 0b1d778c-6d22-4137-8a89-1f50763bdee9 · inbound

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments cites this paper.

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-13T01:19:32.541679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T01:19:32.406859Z digest=sha256:a2cfebc80ecc1e840593790d210572f77c1b501671954717c4e5fbac77ee1336

Observation d423ca37-2a13-450f-9119-3fcba041c889 · inbound

LLM Agents can Autonomously Exploit One-day Vulnerabilities cites this paper.

LLM Agents can Autonomously Exploit One-day Vulnerabilities Mixtral of Experts

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:18:27.697411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:18:27.597704Z digest=sha256:39f80a3e04095c1b8bb90d007654dc4e1e17ebe0dc1284bdd7cfae2059882e7f

Observation 84e98205-35e4-4a7d-bf1a-9dcb14765998 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Mixtral of Experts

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:39:33.188981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:9931b315a28003fc1140d9a4385d346de4577ba6747aecce49e76bc94f89d4f1

Observation 286dbef0-b747-4ee9-ae99-23537db66163 · inbound

Argumentative Large Language Models for Explainable and Contestable Claim Verification cites this paper.

Argumentative Large Language Models for Explainable and Contestable Claim Verification Mixtral of Experts

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T01:18:42.192039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-24T01:17:26.111194Z digest=sha256:8b5cf00e8d9cb4597cbfa8db72609c581255fccf6b990cd903b570ac0ce0d3a8

Observation a8f57823-7301-466c-a507-7294f23e310a · inbound

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments cites this paper.

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments Mixtral of Experts

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:53:19.636244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:53:19.535482Z digest=sha256:2584334e1f8ef97eec813f6313eaf2fde317db1795fd33861fc3eab1623d9dfa

Observation da13cef1-18aa-40e9-954a-d252d055728e · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Mixtral of Experts

Reference 258

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T06:03:56.669852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T06:03:56.328012Z digest=sha256:c358d09f4cba6ac82e0b0f8da8e856bed2be126b1ef4ea35897520030e170613

Observation 8cddb8dc-2c4f-461e-a27e-4e14bac63fc8 · inbound

Chameleon: Mixed-Modal Early-Fusion Foundation Models cites this paper.

Chameleon: Mixed-Modal Early-Fusion Foundation Models Mixtral of Experts

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:03:28.086155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T10:03:27.919346Z digest=sha256:20da888cff9911c0df54fba2b2545f29be62e2a26575baf4694281d2f2e5ca85

Observation cc3eb58a-ed94-42c8-a088-2ca4bbe6a028 · inbound

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:51:08.257362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:e9b072724f27cea7e5940d2ba17fd8f9db4a33eb80072fd4ba0e1938d7c23d3a

Observation d0471058-9e78-4fe2-bcbb-2485aca6fb68 · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Mixtral of Experts

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T19:29:34.452842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T19:29:34.379712Z digest=sha256:d72de8144e1159f58b5ab1b058b48f64a707a64e36e10a1d457a9aa0d83d1cde

Observation b25ff4f1-f1b0-4916-9687-7e3bc9d4296e · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Mixtral of Experts

Reference 13

Resolution
malformed identifier
local_arxiv, observed 2026-05-16T19:29:34.408134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T19:29:34.379712Z digest=sha256:4efc462bbe3cfd23597407e7d5b223cadbfac57f96e32c0133d3a9cc0a0363fa

Observation 88b6f2f8-84fe-46ba-a5ad-713f26a3cd77 · inbound

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-11T02:44:53.461578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:44:53.284345Z digest=sha256:8f737e1794c69ae9892b5db9089955684a1fed869b64d801664d7b572bff8b0e

Observation e8aee621-e421-4d9d-9b3d-21a17aa36deb · inbound

LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports cites this paper.

LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T00:13:39.316726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-24T00:11:19.069346Z digest=sha256:ae208c1d6a29bdcdf14f2df6069b908a7ba8d42d9a4e5bc05910a326ebe241bf

Observation cc0d1455-ba3a-4cca-a103-da5f481af7be · inbound

RouteLLM: Learning to Route LLMs with Preference Data cites this paper.

RouteLLM: Learning to Route LLMs with Preference Data Mixtral of Experts

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:27:40.579357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T23:27:40.397360Z digest=sha256:d2da84260be14239ea34e5d6f59388144d627733b5bc8d03d71d3bf8acb7a95d

Observation a2aab544-b0ac-4743-8681-c60f46abf618 · inbound

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction cites this paper.

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction Mixtral of Experts

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T22:53:33.134498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T22:51:08.753650Z digest=sha256:b7257f16c5e284c3dea183ba994942e25325eff6507813d0b1e42c566f9f501a

Observation 0f8afd6b-254a-4d18-9580-e3c088830993 · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Mixtral of Experts

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:42:32.171343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T04:42:31.555355Z digest=sha256:36d05066c82d6d72e0ca933fff0fd079c8982280b7b8af706b00b029a424f62a

Observation cf0dee9d-2e75-4086-a509-ee10aca7b6b4 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Mixtral of Experts

Reference 99

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:16:04.705634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:2afe394faa6f5d39afc2537fb49502741edf9e7f654c9b0c7dde9d6bf565e8ba

Observation 1ea3205b-eb4a-44b1-a3fc-7551f73b3955 · inbound

HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware cites this paper.

HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware Mixtral of Experts

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-23T21:23:27.596845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T21:21:03.598124Z digest=sha256:6d9e678116e8668c615a020cc05c83497fe26972dae69032057d433c410097f8

Observation ba464aab-872f-478f-ab4d-e1c951cd6b9b · inbound

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation cites this paper.

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation Mixtral of Experts

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-16T00:26:21.409820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T00:26:21.313005Z digest=sha256:f3448bd44b14e0b483be76bfc94e500df6bddba5903c11cc9209257d3953f8df

Observation 98f74d82-578d-4bb2-a54b-df80e4f273dc · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Mixtral of Experts

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-05-12T13:36:57.135277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:98cc2236d99450c91abcd137320f8fc9cf8ccde877dc613be2d06c868f230bdc

Observation 25acb769-7def-4656-9661-87d97ef7760c · inbound

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark cites this paper.

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:05:47.735676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T20:03:38.336841Z digest=sha256:96be619279a0340747ee51a562b1f9969f7b665c0aacf9e7ca3bf2b26e229370

Observation dcb9724c-d194-4c5d-ba44-49c09d63edd9 · inbound

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding cites this paper.

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding Mixtral of Experts

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-16T13:53:33.654938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T13:53:33.585035Z digest=sha256:ca567714635e5f31db85ecd283276f0266d89fdf04a339f33b69950b5debd50a

Observation 5f5fd21c-964f-42b7-a9e3-60e3a31b544a · inbound

Entry-level guide to the use of large language models for medical research cites this paper.

Entry-level guide to the use of large language models for medical research Mixtral of Experts

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-23T19:28:21.493232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T19:26:48.548573Z digest=sha256:6a58945291c698252b6e9f19ced9933f873d59c4a221914e60c6638983d79ca3

Observation 804c9a66-d2a1-4607-a7c3-3aa96f985d55 · inbound

Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models cites this paper.

Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models Mixtral of Experts

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:05:44.648557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:03:19.212619Z digest=sha256:46bbd11f532414640608356334caddba6a4880d47d4f3b1dec4ea4da26c3c59c

Observation 59a1864b-60f5-43a0-a646-26d23e532356 · inbound

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Mixtral of Experts

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:48:45.011604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T02:48:44.900467Z digest=sha256:46af6851823c85b774899c9191f963225d1bb01b85b1c60995188fd9fc711a36

Observation 66441e8b-60c8-4e42-b98d-ef2aa49ffd08 · inbound

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection cites this paper.

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection Mixtral of Experts

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T17:05:42.953505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T17:04:13.905401Z digest=sha256:034607678b500b2944086bbea0301e748dc04893438fdd45347ddb01a2db690f

Observation 409468ee-fd0e-4376-99ff-1b0b81110a8c · inbound

Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning cites this paper.

Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning Mixtral of Experts

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-23T17:13:14.071380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T17:10:06.053994Z digest=sha256:4cdec1b239248515b4d97bbf2d7faf5a1e2b07292c2a5bd7a90afc5b1bdf9460

Observation fbb3cc3a-d0ab-4cef-a67c-380e45f70718 · inbound

Test-Time Alignment via Hypothesis Reweighting cites this paper.

Test-Time Alignment via Hypothesis Reweighting Mixtral of Experts

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:57:40.412540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T06:55:54.051821Z digest=sha256:bd8463a7a5b7909a23941cb0b20ae383b27b0e2d7fe4bb15bbbddebbb92af898

Observation 0d383314-cae5-4786-b2d6-2f4217f93651 · inbound

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding Mixtral of Experts

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:02:37.437454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T06:01:00.775721Z digest=sha256:bfff3e14ce277669283d96e5983af937048f9434cf21b1bb4e5ff10d424e4676

Observation 67cae25d-d667-45ce-84e7-1d0a8b397413 · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) Mixtral of Experts

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T05:52:37.299862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:e46c62faecc9cd524ee03ac26174e8dedea757d7567bd848e711019e1dc72a95

Observation 86a8ea74-376f-424d-b945-2055f40b1371 · inbound

Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments cites this paper.

Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments Mixtral of Experts

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:45:21.653586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T03:43:50.056703Z digest=sha256:d342ce90820eaee1543c97e10e7aa1d94e6cda80e0d60eeb8313bd858ea20797

Observation a7065cb0-ee8e-4c06-90fc-be1979895568 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Mixtral of Experts

Reference 251

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:35:02.358130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:5af6dd30f050bf597e6f5918767741d6cef9acb533f707cb08287aa4bdd86d7c

Observation b69276e4-6176-468e-9b9c-f8b422f65132 · inbound

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations cites this paper.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Mixtral of Experts

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.827299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:ce9cd6301d93c3c8662bb6928ed4fa15904fecc082c5484010d2ef614a694b28

Observation 9a09bed2-4509-4da9-9fcb-18464ce79505 · inbound

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting cites this paper.

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting Mixtral of Experts

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:57:26.393196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T02:55:50.650423Z digest=sha256:ce1bd35e299380c26011ee89dd06893b9eae9f9973bc01426ebbfb8e3e5a0331

Observation 4d2acb81-5654-4c15-8ef6-ebec9aeb94dc · inbound

LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection cites this paper.

LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-23T01:17:20.025500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:17:15.697707Z digest=sha256:1e0190d8847a893e44a00076ca292d60c13d7c0a87d08c4a551e0b9a5271fd88

Observation c7d6a2a7-4a56-41b6-90f5-a85bfe321802 · inbound

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts cites this paper.

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Mixtral of Experts

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:42:18.951172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T00:41:06.928901Z digest=sha256:64fe6e1a0a920cfb3fb98c515ad8cb92473ee12113aafa331b06a0ff80852aba

Observation 20ad89a6-851d-4711-ab21-82ed2f9cb8ca · 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 Mixtral of Experts

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:57:13.226815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T22:55:34.238427Z digest=sha256:b89ed263d92a7cfbe82b456d28962c106d29b2c9bf4eaa0fa9b5906d93357a27

Observation 1b73431b-7e85-4cc1-b36e-59da297d3adb · inbound

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training cites this paper.

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training Mixtral of Experts

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:15:09.600364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T21:12:22.201810Z digest=sha256:04cfdc27d6a98aefe3e6e2b8cb458ea4f340653f3bb05f8b704be52576178b7c

Observation 18288060-96dc-49f3-a281-a6ba5d1671cb · inbound

Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project cites this paper.

Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project Mixtral of Experts

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:05:09.638980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T21:04:11.859563Z digest=sha256:1866fb2a5da6d29980e2a44e7c216bae66dddef867b4a7fd0285bb4dd68b4e99

Observation 952001ba-5ec6-4a63-80d3-129aedef6f24 · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Mixtral of Experts

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-05-22T18:36:58.727928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:cd3af70a49db111ee3a3b2d85a252cb5998c93c0598eda7e6b3b51c26456f8d5

Observation 9e10c80f-587a-4df2-9566-111728c1315f · inbound

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer cites this paper.

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Mixtral of Experts

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-16T16:07:53.110782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T16:07:53.054355Z digest=sha256:52bbfcea4af24d40cc50839fdcedf06de9384e6ac6281309679a20ccaa720874

Observation 0bb2c045-d324-4ff1-b800-1c7ded88e576 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Mixtral of Experts

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-05-22T15:34:57.640033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T15:32:15.293888Z digest=sha256:78e0a39ffb9f41a01a28db38cd114210c3bfdb49612621a6a5edee736ddff924

Observation aaa2aadb-5625-4e41-996f-a93a0e579c6a · inbound

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving cites this paper.

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving Mixtral of Experts

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:31:40.697212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T14:30:47.787654Z digest=sha256:4a944197ac7f0394a0d74c4d66289b92cb40794a51542dbdfee3c1ffd42a6af8

Observation 2ec6e68f-6cd0-464e-8277-3865de5820a0 · inbound

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs cites this paper.

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs Mixtral of Experts

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T14:12:22.036507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T14:11:52.011626Z digest=sha256:6977643195cc34be500bc159ea064ba26f9d6170013e1cf2afbe30525cd4283b

Observation 4cf1b953-0fe9-4a51-a300-ee245d1a6019 · inbound

Large Language Models for Combinatorial Optimization of Design Structure Matrix cites this paper.

Large Language Models for Combinatorial Optimization of Design Structure Matrix Mixtral of Experts

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:17:16.248600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T10:14:23.020105Z digest=sha256:fe721ac24b14432983563f1e8972104152498ac7a4a587d246efba913db780b4

Observation 7e2ae28e-cb49-4ff8-be1c-6643b83d5d7d · inbound

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource Mixtral of Experts

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-22T00:05:47.677472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T00:05:08.916339Z digest=sha256:6904240f8eaf9795499e195fbbbe3b389b98b93a13e179a7ee32f6900925b6ba

Observation d7eaaf15-1290-473e-8015-e0b3806d0a53 · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Mixtral of Experts

Reference 296

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T01:01:10.480216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T01:01:09.840919Z digest=sha256:e9574e4bb9867389cb9844699f2b3ec61a0bc61b6c9855e743b4203a1b8b5e60

Observation 3d939d8d-a68a-4c58-8dcc-460db1498950 · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective Mixtral of Experts

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-17T14:08:35.221671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T14:08:34.893876Z digest=sha256:271aae9241724ce0187d8475eafbc45e4a2850900de3972521e2e19916f85e43

Observation 0d4d6a84-d4ec-481c-b059-5359c1ede241 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Mixtral of Experts

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-19T05:52:07.670038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:c859ffc1b612f8b5418b54cd52344d2950f06b5543c44180ae1dd583c0e55cdd

Observation a90d41dc-57da-40a5-8551-eeee145a75e1 · inbound

Soft Head Selection for Injecting ICL-Derived Task Embeddings cites this paper.

Soft Head Selection for Injecting ICL-Derived Task Embeddings Mixtral of Experts

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:41:59.787262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:41:52.906516Z digest=sha256:6372801aa1e5abaf5130c83c233f8355a2dd20f226c0be03342774490a7cc876

Observation 61c8758c-05f3-44df-86c9-bb92fc155461 · inbound

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making cites this paper.

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making Mixtral of Experts

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:12:56.603447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T03:12:23.075137Z digest=sha256:c5592bbe6bfd184457b64506c7e289e69bf6f166c88e920919f31f94e3b797a0

Observation 8a8fe777-9707-46ed-be2b-ef942a467eba · inbound

Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents cites this paper.

Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents Mixtral of Experts

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-19T00:21:56.464172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T00:18:07.968897Z digest=sha256:9851fec2dd7e4aa3e56a7cdafd6526565118b9181414f9c551cd7d7254593400

Observation ffb83953-4f93-4a85-a497-492972fba66f · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-19T00:12:54.102535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T00:12:39.834892Z digest=sha256:eda9b70b2de2e070152a699c8d48b1dceb42c2f20320d7ae6833581c2b3bc6cf

Observation d215f00f-8135-43fd-9310-90a1a52e2fdf · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:05:30.733989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T08:02:15.950975Z digest=sha256:859ff6cba10d226525965fa0d757eb49c28054e6c972ffe7178ad08bb1878268

Observation 2fe82305-ce79-476c-9449-a1d97e164431 · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:20:42.168776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T22:16:00.668338Z digest=sha256:13a9a2932ee97c677ca3254470dad3baaaedbdc1b15e1127b2a0257bcb954cf7

Observation a6ac1169-e033-4f5e-834d-4c4f1e47a149 · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-25T07:36:41.931107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T07:35:27.894693Z digest=sha256:edc14b4860d6b46a950231fee312826a91a69ec6fa3ad7139c08e16c7eaf9469

Observation a87e8e74-f757-4436-a62d-6ad928348af8 · inbound

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement cites this paper.

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement Mixtral of Experts

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:52:51.955108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T22:52:39.416575Z digest=sha256:2bbf45fecd93ed63f6950ae0102562b60fd0b336e430a246e7ac83d146304483

Observation c7894b0e-61ad-4f1c-b31a-30657ca9fd59 · inbound

SpikingBrain: Spiking Brain-inspired Large Models cites this paper.

SpikingBrain: Spiking Brain-inspired Large Models Mixtral of Experts

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:51:45.715651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T18:51:06.243305Z digest=sha256:548c1a5f4e09f0afe5afb80411ad5863fb00b8716c38a783f8ec79e7ed22b34a

Observation 27aed086-66cd-4fbd-b3ce-a924b94e4f93 · inbound

Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models cites this paper.

Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models Mixtral of Experts

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-25T07:45:29.699727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T07:42:03.704563Z digest=sha256:2d3d9d5174cc20c0f62bef5eca8bf684866fbb57c0907b0a8002b61dd676655d

Observation 5d14eced-5acf-4e2b-afee-f71d1c00ebdb · inbound

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance cites this paper.

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance Mixtral of Experts

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:36:44.251159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T18:33:55.795906Z digest=sha256:1d71a4774522fcf316416b17febeb4bba4bb876f51c6bba3a0fcd8c33f1f6515

Observation 39b9fbbc-bc6d-4ecd-bd22-e2be10938a03 · inbound

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition cites this paper.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Mixtral of Experts

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:11:42.891629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T18:07:34.965356Z digest=sha256:0bfbfda178d526f4d3dda74edece03f876b7629a3d3ee45e85b4d0b333991db1

Observation 7143c0b9-f123-442a-9280-6a9d32046e70 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Mixtral of Experts

Reference 236

Resolution
verified exact
local_arxiv, observed 2026-05-18T00:02:24.539662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:18a4d20427d00f4034e486b3d73f9c7c87ded26bbb03caa33059ff41e7c532d3

Observation 83d1e3f0-79d1-40ed-b12d-5e18f4dddd8c · inbound

Similarity-Distance-Magnitude Activations cites this paper.

Similarity-Distance-Magnitude Activations Mixtral of Experts

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-18T16:06:35.118902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T16:03:51.555760Z digest=sha256:1d35181ba40c742444796996bdd67dea4a842055f8025670f239dc8d7b5e7a01

Observation c10c4d21-63c0-4fec-b551-28ee3cc77bde · 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 Mixtral of Experts

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:11:32.594158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T15:08:03.793304Z digest=sha256:25f9dd7c9ffd8ce3f3de451d92e50427ba60e4ea753e584170fbc7f5b339e5f9

Observation 5beaf9f9-9575-42a6-aa94-653726e7886e · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Mixtral of Experts

Reference 222

Resolution
verified exact
local_arxiv, observed 2026-05-16T13:58:59.003376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:c2abc9a21f72658c7bcc6409fda48588d5849d8458204341133d577512944d0c

Observation 3b778f6e-d81d-41f6-8c1d-3829b05f5f47 · inbound

LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers cites this paper.

LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers Mixtral of Experts

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:41:22.777476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T12:38:31.783807Z digest=sha256:a4688da56a9cbcc117dec11544ca5c66e8213cda08fb02a52d0118e822d766f6

Observation 59d25381-2277-4576-974a-0bd9dc211fc1 · inbound

A Greedy PDE Router for Blending Neural Operators and Classical Methods cites this paper.

A Greedy PDE Router for Blending Neural Operators and Classical Methods Mixtral of Experts

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:32:36.144939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T12:32:13.577474Z digest=sha256:3736042bcd6bbf4db15e9683a0f44264fded1182c9b941427d99c3df438be030

Observation 27e78752-1d0f-4cd4-b188-41e8ec7300a0 · inbound

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference cites this paper.

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference Mixtral of Experts

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-18T09:56:13.330998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T09:52:48.027958Z digest=sha256:259253c79e0d35f7c7a9c77cd0f47abf2d1c13dc12b5a207ded800cef1c83e94

Observation 461989cf-029c-4d61-9b92-48d82f5eee21 · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Mixtral of Experts

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-21T20:40:36.516017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T20:36:22.974054Z digest=sha256:1592471c41397dbc9aec0f21437c8db5fdb510703bf44ae2e9c2532b3689d6cb

Observation 305b4435-767c-4679-b2b7-757d90ed13e7 · inbound

Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility cites this paper.

Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility Mixtral of Experts

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-04T10:51:28.288709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:51:28.288709Z digest=sha256:0cc9a7655fcc8ffbca3800ef015ef78ddf22e9fad3dcc3df12c50980798d677a

Observation 7ec7d4ea-8cf1-4fec-9f23-f7fd088bce28 · inbound

When and Why Does Multi-Agent Debate Fail and Does It Really Underperform? cites this paper.

When and Why Does Multi-Agent Debate Fail and Does It Really Underperform? Mixtral of Experts

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T08:25:11.202346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:25:11.202346Z digest=sha256:6b803784d0f2d28ba164fcab43e55f4f0dd0ecf67d94fa4f15e2e855c449a415

Observation 14d08f43-505c-4909-a12a-b481bc21b15e · inbound

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation cites this paper.

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation Mixtral of Experts

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:30:53.727271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:26:15.232765Z digest=sha256:9b988076ae86f57b79f5f788f56b92c34dc3a23667358c172f35bea356c82c48

Observation db59be2c-1e07-4f56-9109-6f31064cae1c · inbound

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation cites this paper.

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation Mixtral of Experts

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T08:21:30.576474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:21:30.576474Z digest=sha256:77aafe8cfd37c32f5810154ce43e6988dc0664eeca7b6c829f7958043f2ca02e

Observation e100a9df-ae79-4bba-866d-bb46ba32ab23 · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism Mixtral of Experts

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T03:05:48.069389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T03:05:06.069642Z digest=sha256:2358fbe85b19b2024c2cc531ab9a618d4071a7ff057a07514aea1610ce4c7efc

Observation 790d73f7-3d53-4d4d-8eb6-83bdfad4a369 · inbound

Remembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists cites this paper.

Remembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists Mixtral of Experts

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:50:38.099376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T01:48:49.289059Z digest=sha256:f4bb6e14d8e1369146f7765002ee11b1193fac1839e528ab57e2a49c2aa5a099

Observation 8e882683-fb00-4a0c-89ae-1531de0dc81e · inbound

FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management cites this paper.

FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management Mixtral of Experts

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:50:37.840878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T01:49:42.405693Z digest=sha256:5bd4c1f590b74f6b6cf21f9e671949e4c6025925a386c8ae92a912e01bafff3b

Observation 9ca93892-cceb-4536-a2cb-23743e9981af · inbound

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference cites this paper.

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference Mixtral of Experts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T23:41:52.874759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:41:52.874759Z digest=sha256:42ae6be506f7ac265a9ac6d8bd8e799d59ad36b87d5406e7321b373d6b85daf5

Observation f3165641-71eb-4d9b-9899-0e80128bb9f0 · inbound

Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs cites this paper.

Lit Silicon: A Case Where Thermal Imbalance Couples Concurrent Execution in Multiple GPUs Mixtral of Experts

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:12:11.902684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:11:11.543271Z digest=sha256:a621a7106eb30baeb05ae5293238e6daf910631ae10e4b7d27c496249b448b55

Observation 920d2d2d-0e83-4006-8cfb-3f816f80bab7 · inbound

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs cites this paper.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mixtral of Experts

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T22:28:46.081239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:28:46.081239Z digest=sha256:cf5ce2e99cf1bb8c2197e591953c649b39e8b1d17d8779b2936b77310ad09a56

Observation e7d63fe1-2c3f-4864-8312-38967d74bb22 · inbound

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study cites this paper.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Mixtral of Experts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T21:55:38.411364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:55:38.411364Z digest=sha256:95715ebffa51c11e75ee349c38fadb3adf07e908230f8115cddd49fa2a9fa089

Observation 25a73da2-530c-4daa-ab37-c870c76670f1 · inbound

The Impact of Off-Policy Training Data on Probe Generalisation cites this paper.

The Impact of Off-Policy Training Data on Probe Generalisation Mixtral of Experts

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:30:11.696061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T20:26:37.914522Z digest=sha256:46ddbd26150fa843d630e3eec9d0733d057a7bc5e35632cae3280d797c94835e

Observation 5a922699-97f1-4d77-a71c-fc28d577450a · inbound

Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.

Continually Evolving Skill Knowledge in Vision Language Action Model Mixtral of Experts

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-17T06:04:09.173388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T06:02:31.638120Z digest=sha256:106960220b98948de63acde72333d2b7f1cb674293a8bc1a2c193b272820d31f

Observation 89279f8d-e3e9-4d23-9637-544f25000c9c · inbound

A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models cites this paper.

A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models Mixtral of Experts

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:18:52.603460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T02:16:48.422647Z digest=sha256:6aa01aeb5de7272f62c68cbb23664a46d7bc40e15c5ec204d04585077d8d6ab3

Observation dd51c416-29b7-44c5-985f-da686e4fc045 · inbound

Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap cites this paper.

Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap Mixtral of Experts

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T17:17:30.019371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:17:30.019371Z digest=sha256:3574c30043bd94f4109527ab2d8f5b660c136f5bfb36050249704734322ad6e6

Observation 7fbec27d-7c1e-4d1a-81d9-b2c3b4469448 · inbound

MIDUS: Memory-Infused Depth Up-Scaling cites this paper.

MIDUS: Memory-Infused Depth Up-Scaling Mixtral of Experts

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:03:36.067063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T22:02:42.297041Z digest=sha256:499acba42c3cc961271bb723bcc9de8c3178fd7ac2468d3fd6389a120d28553a

Observation 3e0bda51-317d-4696-952c-6d2e6c7651f1 · inbound

In-Context Probing for Membership Inference in Fine-Tuned Language Models cites this paper.

In-Context Probing for Membership Inference in Fine-Tuned Language Models Mixtral of Experts

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-03T15:38:45.053283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:38:45.053283Z digest=sha256:7adac96ce98cbfb0b6a927f4972337c499c1113fbb5fde47eec8d747ff0e3ecd

Observation ef27d3ab-4dd0-48d4-92e4-1b298d562442 · inbound

RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress cites this paper.

RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress Mixtral of Experts

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T13:34:27.699809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:34:27.699809Z digest=sha256:eb02cb6f171c7bca75bd30c4552973c0ae17958b24185c1c788d1ff592432e77