Paper Citation Record · LEDGER

Massive Activations in Large Language Models

As of 24 August 2026, this Paper Citation Record lists 100 of 159 outbound references and 100 inbound Pith citation observations for arXiv:2402.17762.

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

pith.paper-citation-record.v1
2402.17762 v2

Coverage vector

measured 100 of 159 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T07:02:53.740597Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 100 of 102 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:06:57.523801Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 159 outbound references displayed

verified exact30
verified fuzzy57
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch11

External citation measurements

8
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bf7665b4-72b0-475b-945a-bff163c79dc9 · outbound

This paper cites Exploring Length Generalization in Large Language Models.

Massive Activations in Large Language Models Exploring Length Generalization in Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.818893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37f480b5-0480-42a1-b37a-6e38239fffa5 · outbound

This paper cites Computational complexity: a modern approach.

Massive Activations in Large Language Models Computational complexity: a modern approach

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.081423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03c6b057-00e2-4fc8-9c27-4221672679bc · outbound

This paper cites End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking.

Massive Activations in Large Language Models End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.822887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2aaa1d0a-f51b-4518-b377-c470626ae7eb · outbound

This paper cites Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit.

Massive Activations in Large Language Models Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.826534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f19f603-6130-40d2-99df-198aea02f32b · outbound

This paper cites Mix Barrington.

Massive Activations in Large Language Models Mix Barrington

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.087857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a93deff3-640e-4f57-b521-d1f692cdba26 · outbound

This paper cites Mix Barrington and Denis Thérien.

Massive Activations in Large Language Models Mix Barrington and Denis Thérien

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.089754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 283eca06-15f0-40e0-8499-fda607fdc194 · outbound

This paper cites On the ability and limitations of transformers to recognize formal languages.

Massive Activations in Large Language Models On the ability and limitations of transformers to recognize formal languages

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.091861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c657333-c417-484d-ac96-250f846e1ef2 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Massive Activations in Large Language Models Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.829983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c55341c7-b0cc-47f5-8a5d-7ef88b3854bb · outbound

This paper cites Unbounded fan-in circuits and associative functions.

Massive Activations in Large Language Models Unbounded fan-in circuits and associative functions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.096303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfcd1834-5c72-4e04-a434-ce9dd23258e6 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Massive Activations in Large Language Models Decision transformer: Reinforcement learning via sequence modeling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.098393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa7b790d-53b2-4273-8abe-1a9e95f6fe11 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Massive Activations in Large Language Models Evaluating Large Language Models Trained on Code

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.833214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8f06064-a61b-424e-a186-62fbc5164034 · outbound

This paper cites Finite-automaton aperiodicity is PSPACE -complete.

Massive Activations in Large Language Models Finite-automaton aperiodicity is PSPACE -complete

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.102743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e437545-8606-4bf4-9adc-1faa13903d5d · outbound

This paper cites The algebraic theory of context-free languages.

Massive Activations in Large Language Models The algebraic theory of context-free languages

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.104694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20bf5ead-4004-41af-b2ca-25e534e3039a · outbound

This paper cites Conditional Positional Encodings for Vision Transformers.

Massive Activations in Large Language Models Conditional Positional Encodings for Vision Transformers

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.836536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f851dedd-900e-4e83-a2a1-709204939889 · outbound

This paper cites an unresolved cited work.

Massive Activations in Large Language Models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-16T07:02:54.108357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24cac180-9e4e-4bee-ac4b-61df7b3946d3 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Massive Activations in Large Language Models Approximation by superpositions of a sigmoidal function

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.110385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12758b5f-19f0-4843-bbc3-47b592a800ec · outbound

This paper cites Depth separation for neural networks.

Massive Activations in Large Language Models Depth separation for neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.112303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5760ebfe-4b0f-4557-8a55-fee9a6865c21 · outbound

This paper cites Learning parities with neural networks.

Massive Activations in Large Language Models Learning parities with neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.114180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dd2a47f-bb65-4b1e-80b2-0a91578c0491 · outbound

This paper cites Universal transformers.

Massive Activations in Large Language Models Universal transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.115941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9587bdfb-4457-41ac-a217-9877c405cf5a · outbound

This paper cites Neural Networks and the Chomsky Hierarchy.

Massive Activations in Large Language Models Neural Networks and the Chomsky Hierarchy

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.839680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1438c5d8-e3cb-47f3-9666-1f75af0df165 · outbound

This paper cites Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, and Gilbert Strang.

Massive Activations in Large Language Models Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, and Gilbert Strang

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.119816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a92effb4-23f9-4782-9fba-952d5d7acee8 · outbound

This paper cites How can self-attention networks recognize D yck-n languages? In Findings of the Association for Computational Linguistics: EMNLP.

Massive Activations in Large Language Models How can self-attention networks recognize D yck-n languages? In Findings of the Association for Computational Linguistics: EMNLP

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.121875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9d71054-971f-43cd-8c8e-c8e76299aaca · outbound

This paper cites Inductive biases and variable creation in self-attention mechanisms.

Massive Activations in Large Language Models Inductive biases and variable creation in self-attention mechanisms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.123803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 585d67d4-f497-4b16-9b8e-0013a444403c · outbound

This paper cites Computational Holonomy Decomposition of Transformation Semigroups.

Massive Activations in Large Language Models Computational Holonomy Decomposition of Transformation Semigroups

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.842805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b054a14d-3746-4d23-a476-43ba27cb5b7e · outbound

This paper cites Automata, languages, and machines.

Massive Activations in Large Language Models Automata, languages, and machines

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.127815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c77fa33-cbbf-43de-9e27-e19eb874af7a · outbound

This paper cites The power of depth for feedforward neural networks.

Massive Activations in Large Language Models The power of depth for feedforward neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.130003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f9d7f47e-4285-43e0-b52e-33b1c7728c0e · outbound

This paper cites A mathematical framework for transformer circuits.

Massive Activations in Large Language Models A mathematical framework for transformer circuits

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.132652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a053446c-b77f-4ea0-ad7e-7a608e4877e8 · outbound

This paper cites Saxe, and Michael Sipser.

Massive Activations in Large Language Models Saxe, and Michael Sipser

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.134628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 233d2411-6057-4706-b4b1-bc989a61be87 · outbound

This paper cites Shortcut learning in deep neural networks.

Massive Activations in Large Language Models Shortcut learning in deep neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.137666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e81aff0e-10ba-4a11-a325-4f2807ad109b · outbound

This paper cites Looped Transformers as Programmable Computers.

Massive Activations in Large Language Models Looped Transformers as Programmable Computers

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.846090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c302ae6d-b427-43a3-af3c-1aadcee5c87f · outbound

This paper cites Reliably learning the R e LU in polynomial time.

Massive Activations in Large Language Models Reliably learning the R e LU in polynomial time

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.146224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c69106f-3e51-4e1c-ae02-abd60c37a366 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Massive Activations in Large Language Models Adaptive Computation Time for Recurrent Neural Networks

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.849372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf40a2ef-ccda-41ad-a4f0-50d4fc44a1c9 · outbound

This paper cites Neural Turing Machines.

Massive Activations in Large Language Models Neural Turing Machines

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.852409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68d22231-dbe0-49a6-89f7-56ece1c3ee35 · outbound

This paper cites Non-Autoregressive Neural Machine Translation.

Massive Activations in Large Language Models Non-Autoregressive Neural Machine Translation

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T07:02:53.855519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 127c3f46-08d3-411f-8224-66699687de2f · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Massive Activations in Large Language Models Dream to Control: Learning Behaviors by Latent Imagination

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.858762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a56b030-39cc-4fea-ab80-80276c58a064 · outbound

This paper cites Theoretical limitations of self-attention in neural sequence models.

Massive Activations in Large Language Models Theoretical limitations of self-attention in neural sequence models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.158633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 653efb2c-3ef8-4d44-b276-5311aa9a4380 · outbound

This paper cites Transformer Language Models without Positional Encodings Still Learn Positional Information.

Massive Activations in Large Language Models Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.862054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74df9dd5-5ddd-4e7d-8d12-57ef312aad7a · outbound

This paper cites Deep residual learning for image recognition.

Massive Activations in Large Language Models Deep residual learning for image recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.181422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04632b0f-3c44-4673-9256-cd26b6f18a59 · outbound

This paper cites Towards lower bounds on the depth of R e LU neural networks.

Massive Activations in Large Language Models Towards lower bounds on the depth of R e LU neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.184891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1e15af2-b2fb-41a1-8fb0-2ddd27a60ec8 · outbound

This paper cites Steele Jr.

Massive Activations in Large Language Models Steele Jr

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.187933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47e79d1b-50f8-485b-a623-06a975162c1d · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Massive Activations in Large Language Models Multilayer feedforward networks are universal approximators

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.191135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96fb3a48-c9fa-48c0-8c27-01efe73efd82 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Massive Activations in Large Language Models Universal Language Model Fine-tuning for Text Classification

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.865528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68e668c7-e742-40bc-b1f2-6369c30a19c3 · outbound

This paper cites Block-Recurrent Transformers.

Massive Activations in Large Language Models Block-Recurrent Transformers

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.868612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76e8e6fe-dfd2-497f-aa61-85680fe996a3 · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem.

Massive Activations in Large Language Models Offline reinforcement learning as one big sequence modeling problem

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.200656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db9ec858-602d-451c-9fa5-9eeb85bb7ab9 · outbound

This paper cites Finetuning Pretrained Transformers into RNNs.

Massive Activations in Large Language Models Finetuning Pretrained Transformers into RNNs

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.871604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a7f9b6d-e7bb-42ed-84d1-7cf952c15b8a · outbound

This paper cites Rethinking Positional Encoding in Language Pre-training.

Massive Activations in Large Language Models Rethinking Positional Encoding in Language Pre-training

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.874934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7d13e69-2620-49e1-a2fe-d5a3176b760e · outbound

This paper cites The number of semigroups of order n.

Massive Activations in Large Language Models The number of semigroups of order n

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.209735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbde73a0-d7f7-456d-b251-9bd3520677a7 · outbound

This paper cites Finite permutation groups with large abelian quotients.

Massive Activations in Large Language Models Finite permutation groups with large abelian quotients

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.213125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b88597f-d4af-4ca5-945d-44bbbca1878d · outbound

This paper cites Produit complet des groupes de permutations et probleme d’extension de groupes II.

Massive Activations in Large Language Models Produit complet des groupes de permutations et probleme d’extension de groupes II

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.216542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59756881-3cb6-4eeb-bdf4-42e54e602ae0 · outbound

This paper cites Algebraic theory of machines, I : P rime decomposition theorem for finite semigroups and machines.

Massive Activations in Large Language Models Algebraic theory of machines, I : P rime decomposition theorem for finite semigroups and machines

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.219974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5a57c1f-6aa7-4811-9b0c-a7a2fa2bccab · outbound

This paper cites Deep Learning for Symbolic Mathematics.

Massive Activations in Large Language Models Deep Learning for Symbolic Mathematics

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.877938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8f8724a-2a4f-438c-84cc-792030f1fa64 · outbound

This paper cites FractalNet: Ultra-Deep Neural Networks without Residuals.

Massive Activations in Large Language Models FractalNet: Ultra-Deep Neural Networks without Residuals

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.880895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d17ad449-261b-4f31-82de-492cb1bfac53 · outbound

This paper cites On the ability of neural nets to express distributions.

Massive Activations in Large Language Models On the ability of neural nets to express distributions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.230282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3576dd43-7ecb-4202-8aff-56b9e07acc0d · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

Massive Activations in Large Language Models Competition-Level Code Generation with AlphaCode

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:43:48.088484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faf9b645-badb-4687-901e-ea787e9f8423 · outbound

This paper cites Decoupled Weight Decay Regularization.

Massive Activations in Large Language Models Decoupled Weight Decay Regularization

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.887986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5485814b-ba2f-4b17-b144-ae447a2d7e27 · outbound

This paper cites On the K rohn- R hodes cascaded decomposition theorem.

Massive Activations in Large Language Models On the K rohn- R hodes cascaded decomposition theorem

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.239532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b007f765-2385-4b31-acc8-14c145a6d39d · outbound

This paper cites On the cascaded decomposition of automata, its complexity and its application to logic ( D raft).

Massive Activations in Large Language Models On the cascaded decomposition of automata, its complexity and its application to logic ( D raft)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.242291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31dce5d4-1a0d-4c37-b2fe-367d9443d2f6 · outbound

This paper cites Threshold circuits for iterated matrix product and powering.

Massive Activations in Large Language Models Threshold circuits for iterated matrix product and powering

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.245277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46f67443-bc99-49d0-9490-7fc1ac0ea102 · outbound

This paper cites Saturated Transformers are Constant-Depth Threshold Circuits.

Massive Activations in Large Language Models Saturated Transformers are Constant-Depth Threshold Circuits

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.891005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4a750c0-6672-4e3c-8023-4b52e399a5d5 · outbound

This paper cites Transformers are Sample-Efficient World Models.

Massive Activations in Large Language Models Transformers are Sample-Efficient World Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.894196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15333cc0-9d04-498e-a6de-c19c7116fe3c · outbound

This paper cites Lower bounds over Boolean inputs for deep neural networks with ReLU gates.

Massive Activations in Large Language Models Lower bounds over Boolean inputs for deep neural networks with ReLU gates

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.897343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29ea9dea-ceda-4589-bec7-1f83577a80d0 · outbound

This paper cites A mechanistic interpretability analysis of grokking.

Massive Activations in Large Language Models A mechanistic interpretability analysis of grokking

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.256013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 794952e7-ffaa-4cff-a572-5994a2a6b0a1 · outbound

This paper cites an unresolved cited work.

Massive Activations in Large Language Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-16T07:02:54.258406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c66c989-11d2-4082-8819-e90c99765ee8 · outbound

This paper cites Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials.

Massive Activations in Large Language Models Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.900523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efcc52a1-63a1-4fb6-8cf7-19a34046c046 · outbound

This paper cites Investigating the Limitations of Transformers with Simple Arithmetic Tasks.

Massive Activations in Large Language Models Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.903787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23fb748d-b973-4201-b7e2-abcd1725ceee · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Massive Activations in Large Language Models Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.906902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 919bd7a7-9e06-4204-bfb6-2675656d8e5d · outbound

This paper cites The complexity of M arkov decision processes.

Massive Activations in Large Language Models The complexity of M arkov decision processes

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.267563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce8c7133-1e27-47e1-9a13-3036070ed7b5 · outbound

This paper cites Py T orch: An imperative style, high-performance deep learning library.

Massive Activations in Large Language Models Py T orch: An imperative style, high-performance deep learning library

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.270094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22a9f215-6e25-4c69-8d0c-ad6e8d24b5b9 · outbound

This paper cites Attention is turing complete.

Massive Activations in Large Language Models Attention is turing complete

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.272370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b66351a4-83ca-44e6-9307-ccbce2b6a2c7 · outbound

This paper cites Deep contextualized word representations.

Massive Activations in Large Language Models Deep contextualized word representations

Reference 71

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T07:02:53.910338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bec790d-b069-45cc-93ed-ef94672a6338 · outbound

This paper cites Generative Language Modeling for Automated Theorem Proving.

Massive Activations in Large Language Models Generative Language Modeling for Automated Theorem Proving

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:18:10.906922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed3a336f-a298-430f-9e4a-681e03d47ff8 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

Massive Activations in Large Language Models Train short, test long: Attention with linear biases enables input length extrapolation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.281823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daed02a6-0f65-43b5-a264-a14fb8bf4b36 · outbound

This paper cites Language models are unsupervised multitask learners.

Massive Activations in Large Language Models Language models are unsupervised multitask learners

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.283909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 155f3d6b-cc80-4e4f-99d5-9b797f5a52fc · outbound

This paper cites Reif and Stephen R.

Massive Activations in Large Language Models Reif and Stephen R

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.286539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd95f318-987b-4d3b-bb37-7cfd3b71e1a8 · outbound

This paper cites Applications of automata theory and algebra: via the mathematical theory of complexity to biology, physics, psychology, philosophy, and games.

Massive Activations in Large Language Models Applications of automata theory and algebra: via the mathematical theory of complexity to biology, physics, psychology, philosophy, and games

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.288966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfd3ffa3-c957-4cf2-b584-4ccace65d90b · outbound

This paper cites Can contrastive learning avoid shortcut solutions? Advances in Neural Information Processing Systems.

Massive Activations in Large Language Models Can contrastive learning avoid shortcut solutions? Advances in Neural Information Processing Systems

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.291209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6dddc637-081d-4bd6-ae71-da93130e882a · outbound

This paper cites Depth separations in neural networks: what is actually being separated? In Conference on Learning Theory, pages 2664--2666.

Massive Activations in Large Language Models Depth separations in neural networks: what is actually being separated? In Conference on Learning Theory, pages 2664--2666

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.293406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e9b267b-53e0-4d96-ad42-5d0d1a8f979b · outbound

This paper cites Programming puzzles.

Massive Activations in Large Language Models Programming puzzles

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.295467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96d86380-8c48-4056-a082-7be0ac86f010 · outbound

This paper cites On finite monoids having only trivial subgroups.

Massive Activations in Large Language Models On finite monoids having only trivial subgroups

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.297634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6c89032-ba93-44b7-bf40-f51c2da5b9ce · outbound

This paper cites Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks.

Massive Activations in Large Language Models Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.076502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5ad8215-382b-41ae-b4a3-f8c1a7ef8088 · outbound

This paper cites On the computational power of neural nets.

Massive Activations in Large Language Models On the computational power of neural nets

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.078726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc8285ad-55a1-47c2-8e7e-0b914092f37c · outbound

This paper cites Benefits of depth in neural networks.

Massive Activations in Large Language Models Benefits of depth in neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.083609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf386873-078d-4130-bbdf-4b4f0b19ec21 · outbound

This paper cites BERT Rediscovers the Classical NLP Pipeline.

Massive Activations in Large Language Models BERT Rediscovers the Classical NLP Pipeline

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.916830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90c7731a-54c6-40fe-b20d-fcd8dadc4053 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Massive Activations in Large Language Models WaveNet: A Generative Model for Raw Audio

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.919878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4eb709b-3634-4a27-a53b-41b0fba961c9 · outbound

This paper cites Attention is all you need.

Massive Activations in Large Language Models Attention is all you need

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.100746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6592dcfc-0acb-49cc-aaaf-d1c573cfb465 · outbound

This paper cites Hechtman, and Jonathon Shlens.

Massive Activations in Large Language Models Hechtman, and Jonathon Shlens

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.106570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd94ffee-00a1-43de-ab48-9479bc180edb · outbound

This paper cites Visualizing Attention in Transformer-Based Language Representation Models.

Massive Activations in Large Language Models Visualizing Attention in Transformer-Based Language Representation Models

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.923110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06c1682f-2943-4fdf-9c88-a1c241b5c5a9 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Massive Activations in Large Language Models Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.926612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ec2f7afa-eb70-4ad6-8534-45b117f270dc · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Massive Activations in Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.929799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5722265a-b603-46c0-a7cc-2bd47d81cc22 · outbound

This paper cites Thinking like T ransformers.

Massive Activations in Large Language Models Thinking like T ransformers

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.148694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1b26e7d-8922-46c7-80b0-b7f77f5fe92f · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Massive Activations in Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.933024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4cd7e10a-3919-4403-bdf1-9bc8c6bee864 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Massive Activations in Large Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.936699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e01e40b-bf8d-40be-9e15-c29aab96af9b · outbound

This paper cites A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond.

Massive Activations in Large Language Models A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.940376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c1b399f-6259-4e54-ab8a-c104186c7f9a · outbound

This paper cites How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.

Massive Activations in Large Language Models How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.944970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e01ed2c6-4416-4824-9291-6aa1e0219a6f · outbound

This paper cites Papadimitriou, and Karthik Narasimhan.

Massive Activations in Large Language Models Papadimitriou, and Karthik Narasimhan

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.194251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 808e24e5-1ade-43bc-8f4e-b2beb6c0c6af · outbound

This paper cites Mastering atari games with limited data.

Massive Activations in Large Language Models Mastering atari games with limited data

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.197478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 49649fc0-c2c0-4f38-8b26-6ed9cea981d7 · outbound

This paper cites Cascade synthesis of finite-state machines.

Massive Activations in Large Language Models Cascade synthesis of finite-state machines

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.203741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2fd5998-2df1-4a8b-8738-4969b2513d5b · outbound

This paper cites Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization.

Massive Activations in Large Language Models Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.948453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 693bd688-01ea-445e-b965-5fee4316af7c · outbound

This paper cites How does mixup help with robustness and generalization? In International Conference on Learning Representations, 2021 b.

Massive Activations in Large Language Models How does mixup help with robustness and generalization? In International Conference on Learning Representations, 2021 b

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:02:54.223517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 609d4f79-b35b-426f-80a3-9e7d0721a608 · outbound

This paper cites Unveiling Transformers with LEGO: a synthetic reasoning task.

Massive Activations in Large Language Models Unveiling Transformers with LEGO: a synthetic reasoning task

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.952149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 0f564b89-e117-4001-8b73-a4d58afb5382 · inbound

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling cites this paper.

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling Massive Activations in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09dd05df-56e3-4318-9adf-f4a805d11c3b · inbound

Scaling and evaluating sparse autoencoders cites this paper.

Scaling and evaluating sparse autoencoders Massive Activations in Large Language Models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b383fa3f-ff15-4c4f-8dea-dbca88241704 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Massive Activations in Large Language Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-20T19:45:36.442032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ba80cee-860c-4379-af58-912b3c3f9c9f · inbound

When Attention Sink Emerges in Language Models: An Empirical View cites this paper.

When Attention Sink Emerges in Language Models: An Empirical View Massive Activations in Large Language Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-16T17:41:03.745535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12916e7a-8ac9-475f-9935-e4e8a7a1d8fc · inbound

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training Massive Activations in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:21.317662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd48f046-aa25-41ac-bf2b-ac475226fc33 · inbound

Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps cites this paper.

Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps Massive Activations in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T15:08:54.393582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99fdcb51-0b0b-4fd4-a04a-5cb8a1238b9b · inbound

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation cites this paper.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Massive Activations in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:23.900797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53fad53-d3fa-47da-a067-5aa36e15bb28 · inbound

TinyFusion: Diffusion Transformers Learned Shallow cites this paper.

TinyFusion: Diffusion Transformers Learned Shallow Massive Activations in Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T04:40:19.584749Z

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Observation b425e016-3674-438a-b52d-afd409cf979b · inbound

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation cites this paper.

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation Massive Activations in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T15:23:56.974512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e72f8a0-3c79-43c0-a4c8-d86e78caafb8 · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management Massive Activations in Large Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T00:38:46.996829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54ef8b7-9dd2-4ba5-a3cb-254468d55c91 · inbound

Leveraging Registers in Vision Transformers for Robust Adaptation cites this paper.

Leveraging Registers in Vision Transformers for Robust Adaptation Massive Activations in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:37.720335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036eb6bc-19f3-4c1e-879b-2877d18b95b1 · inbound

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models cites this paper.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Massive Activations in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.668507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91fcc470-d158-4f3a-9e65-32c8a9810006 · inbound

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations cites this paper.

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations Massive Activations in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:54:22.715681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceeaf3e5-1f44-4d4d-8e3c-c1ce36297e03 · inbound

An Inquiry into Datacenter TCO for LLM Inference with FP8 cites this paper.

An Inquiry into Datacenter TCO for LLM Inference with FP8 Massive Activations in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T16:47:23.623705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b3edb7-d041-4212-bc15-c788e160fcef · inbound

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture cites this paper.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Massive Activations in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T11:23:40.993209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac3d208-f294-4d75-aeee-520b786000be · inbound

Systematic Outliers in Large Language Models cites this paper.

Systematic Outliers in Large Language Models Massive Activations in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T15:37:37.525550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5341b35f-be30-4e0b-9ff7-fad88cf968c5 · inbound

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks cites this paper.

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Massive Activations in Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T06:06:57.523801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2872e6-71dd-45b3-9642-d1d671307c1f · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size Massive Activations in Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:23.672217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45cac19a-40ed-437a-98ad-ca2e1c43b986 · inbound

Precision Where It Matters: A Novel Spike Aware Mixed-Precision Quantization Strategy for LLaMA-based Language Models cites this paper.

Precision Where It Matters: A Novel Spike Aware Mixed-Precision Quantization Strategy for LLaMA-based Language Models Massive Activations in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:05:12.907873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a506b6ff-1d76-45c4-9e54-27ef1cced7a3 · inbound

ICQuant: Index Coding enables Low-bit LLM Quantization cites this paper.

ICQuant: Index Coding enables Low-bit LLM Quantization Massive Activations in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:49.755531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc90ad85-5426-4828-a92f-99e0c69fa85e · inbound

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design cites this paper.

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design Massive Activations in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:01:20.142490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d42df7f-ea28-419d-9a80-f2464a4d062b · inbound

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Massive Activations in Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee3f5c68-3595-42c2-95cf-a2be8e62329c · inbound

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces cites this paper.

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces Massive Activations in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:37.521728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2c8c5c-774a-4a46-9200-b00f149dacea · inbound

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference cites this paper.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Massive Activations in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:05.737732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0f94bf-7c2a-4275-9518-11fbd28bcacf · inbound

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations cites this paper.

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations Massive Activations in Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:28.759191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8bbd1dc-631f-4ba0-bba4-95b283e3cd07 · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Massive Activations in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:25.968312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0146fe6b-aa47-49dd-86b2-f7f12d72334e · inbound

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI cites this paper.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Massive Activations in Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:55.342354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c67f3b-c46e-4aa9-80f0-31229390a4ca · inbound

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study cites this paper.

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Massive Activations in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:40.241455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc63c28-99f4-47d7-b4b6-d19a1ba1c380 · inbound

FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.

FPTQuant: Function-Preserving Transforms for LLM Quantization Massive Activations in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:43.694378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8cfbe6d-2231-4c8b-8721-906e352e75b4 · inbound

PEVLM: Parallel Encoding for Vision-Language Models cites this paper.

PEVLM: Parallel Encoding for Vision-Language Models Massive Activations in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:37:59.050314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1d3a8a-d15c-409d-bba9-fc01f777ec28 · inbound

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models cites this paper.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Massive Activations in Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:04.236333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9597c0d-7cd2-468a-9765-fd31b87c8fbe · inbound

Characterization and Mitigation of Training Instabilities in Microscaling Formats cites this paper.

Characterization and Mitigation of Training Instabilities in Microscaling Formats Massive Activations in Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:47:52.279011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 328b74aa-c4eb-4829-b374-fc4130bcb1e3 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models Massive Activations in Large Language Models

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:40.342861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac939149-f285-4c96-b1e9-8d3269bf9ef8 · inbound

Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers cites this paper.

Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers Massive Activations in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:49.076209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 127db34a-44aa-44c1-9ba1-042b06b07865 · inbound

Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization cites this paper.

Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Massive Activations in Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T12:21:25.673273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a28053-910a-4330-9e3e-a3bb82c42a71 · inbound

Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI cites this paper.

Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI Massive Activations in Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T00:03:56.368022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef4d47a-fef7-4492-9b73-f80f95bab925 · inbound

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models cites this paper.

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models Massive Activations in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T12:32:13.895867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c8d797-2c9b-4f86-b5a7-7b1ba4d2cee5 · inbound

Prophecy: Inferring Formal Properties from Neuron Activations cites this paper.

Prophecy: Inferring Formal Properties from Neuron Activations Massive Activations in Large Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:31:24.705418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cba88781-4174-4f78-8112-203773de3080 · inbound

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs cites this paper.

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs Massive Activations in Large Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:14:00.183201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11853ee6-3d40-4068-ac60-7334cef886f2 · inbound

MiMo-V2-Flash Technical Report cites this paper.

MiMo-V2-Flash Technical Report Massive Activations in Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ff386ff-d10b-413c-842a-21c3972864b8 · inbound

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers cites this paper.

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers Massive Activations in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T11:16:00.419063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3020cc14-71ed-4415-8184-1da2152ecdd9 · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Massive Activations in Large Language Models

Reference 291

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:40:54.708987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ffc5e7d6-2ead-4d3b-9349-b6a1fc54ba35 · inbound

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining cites this paper.

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining Massive Activations in Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7f4d679-9ca7-453f-ba8c-a03d7c8ba61f · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge Massive Activations in Large Language Models

Reference 122

Resolution: unresolved; no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62b6b7d8-2d88-4b30-a58a-3d7207d95271 · inbound

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models cites this paper.

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models Massive Activations in Large Language Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6dee6136-6b0a-4d77-b30f-d58da2d1b15a · inbound

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models cites this paper.

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models Massive Activations in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T17:04:24.797847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80a1876-0fdb-4220-b322-79369b779401 · inbound

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation cites this paper.

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation Massive Activations in Large Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f49cec62-35b2-4572-bea6-adc1f4d780ae · inbound

OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension cites this paper.

OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension Massive Activations in Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1dc4a5b-5ac9-4a65-81c5-c0d9c08aab5e · inbound

Graph-Guided Adaptive Channel Elimination for KV Cache Compression cites this paper.

Graph-Guided Adaptive Channel Elimination for KV Cache Compression Massive Activations in Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 83b3ef74-a5a2-466f-b0c2-4c4937fa1a99 · inbound

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization cites this paper.

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization Massive Activations in Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95e5c181-0bb2-476c-87e6-8d1b341ab6f0 · inbound

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs cites this paper.

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs Massive Activations in Large Language Models

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2dd3e400-3304-40f7-b222-803c265efc7a · inbound

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing cites this paper.

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Massive Activations in Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55732636-5021-41b6-9195-eab9969b97c2 · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Massive Activations in Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b70fc32-94e4-4282-b233-b2fae0127f2d · inbound

Taming Outlier Tokens in Diffusion Transformers cites this paper.

Taming Outlier Tokens in Diffusion Transformers Massive Activations in Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6009a94-3323-4e32-b7bd-c6b32bf871cc · inbound

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory cites this paper.

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory Massive Activations in Large Language Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3cfaea57-1004-4290-98c1-8905cd8367e0 · inbound

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models cites this paper.

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models Massive Activations in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae2b1b10-7ccd-43af-b80f-0655ff6f4e04 · inbound

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models cites this paper.

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models Massive Activations in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 922095c1-efa6-420a-a1c3-694242266ca4 · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Massive Activations in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb3946b7-ea77-4c40-9bbb-e6d4d25819e1 · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Massive Activations in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ceba6819-4be6-47be-b841-f47b7fbf3bcf · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Massive Activations in Large Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:45:46.094318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea74b8f5-9e0e-4191-8a50-34700be059a3 · inbound

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination Massive Activations in Large Language Models

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:54.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c9d3649-708d-45a2-b29f-a57bcd5c25e4 · inbound

Registers Matter for Pixel-Space Diffusion Transformers cites this paper.

Registers Matter for Pixel-Space Diffusion Transformers Massive Activations in Large Language Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-20T19:08:54.075715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80abfa05-8b46-4a34-94b2-b50624b91b6d · inbound

Precision Tracked Transformer via Kalman Filtering, Kriging and Process Noise cites this paper.

Precision Tracked Transformer via Kalman Filtering, Kriging and Process Noise Massive Activations in Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:49:05.404901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e08a1f29-2709-4f9f-bf97-79d48ac48c83 · inbound

A Two-Parameter Weibull Framework for Diagnosing Transformer Weight Distributions cites this paper.

A Two-Parameter Weibull Framework for Diagnosing Transformer Weight Distributions Massive Activations in Large Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:23:21.552672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f08fd51c-3415-4236-a430-80a793d5822d · inbound

UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register cites this paper.

UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register Massive Activations in Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-20T06:48:05.658978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 394692bc-6410-4042-a7aa-acc161029fe6 · inbound

OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond cites this paper.

OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Massive Activations in Large Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-20T07:58:07.583961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44d160ba-f95a-4d6e-bfb4-cbcc6e847c31 · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Massive Activations in Large Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:36:40.308302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27532da8-eaba-4e7b-b0c6-7be961a8d607 · inbound

A Simple Plug-in for Improving Eviction-Based KV Cache Compression cites this paper.

A Simple Plug-in for Improving Eviction-Based KV Cache Compression Massive Activations in Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:55:24.127620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a9ecc30-18ea-4fd4-93e1-ef7e3d804773 · inbound

Multi-Gate Residuals cites this paper.

Multi-Gate Residuals Massive Activations in Large Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T04:50:20.372266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09f478f2-335a-4ce6-80da-eb1f509e88f4 · inbound

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models cites this paper.

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models Massive Activations in Large Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:22:46.925024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18d3ee7d-4d24-41b5-af02-b14fbeb4c824 · inbound

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression cites this paper.

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression Massive Activations in Large Language Models

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T01:46:26.869250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94ed6142-bd48-4a66-8ca7-1bb3d67694f2 · inbound

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models cites this paper.

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models Massive Activations in Large Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:56:27.444608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a09064c-2530-4d0f-ae0e-1305d741deac · inbound

Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs cites this paper.

Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs Massive Activations in Large Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:56:46.987673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab8c87e8-10b9-4d2b-a08b-368bcd703a83 · inbound

Dead Directions: Geometric Singular Learning cites this paper.

Dead Directions: Geometric Singular Learning Massive Activations in Large Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:36:55.209040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3a4e679-9f32-4593-819f-9832b2a8718b · inbound

P-Cast Precision in FP8 Attention: Sink-Induced Collapse and the Optimality of S=2^8 cites this paper.

P-Cast Precision in FP8 Attention: Sink-Induced Collapse and the Optimality of S=2^8 Massive Activations in Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T05:56:40.586160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02f250f4-fe71-41c5-8299-34fea20461bb · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Massive Activations in Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:32:46.731937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51a33f4e-b687-467c-8c08-3ba3eebdd8ca · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Massive Activations in Large Language Models

Reference 172

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:32:47.298617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d824933-ff7a-4041-842b-d0eaf2b5bec4 · inbound

From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs cites this paper.

From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs Massive Activations in Large Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:57:32.370082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 172cd7cd-07e9-484b-8f53-863739c41580 · inbound

ICA Lens: Interpreting Language Models Without Training Another Dictionary cites this paper.

ICA Lens: Interpreting Language Models Without Training Another Dictionary Massive Activations in Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-03T09:17:49.067937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e7efc17-490e-4eca-a6db-881506a87601 · inbound

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models cites this paper.

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models Massive Activations in Large Language Models

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:28:04.157411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 762dfa80-5f30-456e-a465-a0ac29fb917e · inbound

DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics cites this paper.

DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics Massive Activations in Large Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:57:47.899068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4d8e077-dc61-44be-a07e-303fd8770aca · inbound

MiniMax Sparse Attention cites this paper.

MiniMax Sparse Attention Massive Activations in Large Language Models

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T15:28:34.115353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5782f62-4696-4b0c-b7ce-bd0696b564f7 · inbound

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications cites this paper.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Massive Activations in Large Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.670950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2115d05-ec7e-42a5-b466-24f950eb2ad8 · inbound

Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale cites this paper.

Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale Massive Activations in Large Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:29:15.257781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16a81b1e-96f9-4708-948f-ae046188af58 · inbound

Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test cites this paper.

Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test Massive Activations in Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.553890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb690365-a9ba-4e4a-bfc6-16a759ba42a4 · inbound

Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL cites this paper.

Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL Massive Activations in Large Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T05:59:38.000608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46bd5bef-62cc-4abc-848b-9ef34ed5d7e1 · inbound

SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference cites this paper.

SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference Massive Activations in Large Language Models

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T12:59:52.345822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b028e290-b7d9-4a7b-bcc9-987a888f41fd · inbound

Information-Regularized Attention for Visual-Centric Reasoning cites this paper.

Information-Regularized Attention for Visual-Centric Reasoning Massive Activations in Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T15:17:07.253514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d21c1c0-3162-443d-9e09-7db8d820e31f · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation Massive Activations in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T05:46:45.293902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ab7a8d-73d7-4e49-a1f5-600ae34915e1 · inbound

Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale cites this paper.

Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale Massive Activations in Large Language Models

Reference 73

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T18:27:31.317526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70a0c0dc-55c0-4f0d-b0c4-7fe95e173d1c · inbound

Transient Reserves, Sink Dampers, and the Failure of Eigenvalue Reasoning in the Attention Propagator cites this paper.

Transient Reserves, Sink Dampers, and the Failure of Eigenvalue Reasoning in the Attention Propagator Massive Activations in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T04:11:56.715045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c206bbc-5ba5-4cdc-b4de-c344a95c3fc6 · inbound

Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization cites this paper.

Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization Massive Activations in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T14:15:46.074413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbaf008b-e25d-4a52-ae7d-8becdb250a27 · inbound

Graded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal Steering cites this paper.

Graded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal Steering Massive Activations in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T04:52:40.524880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6794ba7-bd94-4812-94aa-56d7ae62c82a · inbound

Phasor Attention: Mean Root Square Normalization for Phase Manifold Preservation cites this paper.

Phasor Attention: Mean Root Square Normalization for Phase Manifold Preservation Massive Activations in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:39:38.536822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a443176-c429-41cb-85b5-64995baa358c · inbound

Estimating Rare Events in Language Models with Proper Evaluation cites this paper.

Estimating Rare Events in Language Models with Proper Evaluation Massive Activations in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:26:28.124965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39f12d3-f021-4699-939d-3efa67c21e5e · inbound

Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers cites this paper.

Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers Massive Activations in Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T13:25:57.390684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6459f884-0819-411f-a870-8fb057a89af0 · inbound

Reference Feature Atlases for Mechanistic Auditing of Language Models cites this paper.

Reference Feature Atlases for Mechanistic Auditing of Language Models Massive Activations in Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T12:35:17.430243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4374f278-588b-48ab-808a-386da25b46e2 · inbound

WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization cites this paper.

WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization Massive Activations in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T00:43:52.070083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8ff366e-1770-45e8-ac9e-fe0d045b1de9 · inbound

Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs cites this paper.

Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Massive Activations in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T00:50:44.582319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8096263e-d7c3-4f93-8069-42b2d96aabc1 · inbound

Hidden Language Consistency Phenomena in Reasoning LLMs cites this paper.

Hidden Language Consistency Phenomena in Reasoning LLMs Massive Activations in Large Language Models

Reference 210

Resolution: unresolved; no resolver link, observed 2026-08-14T04:40:10.034226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.