Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models | Paper Citation Record

Observation afc1a57f-7fde-4311-97e3-c3f6e17e04d4 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.235757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f471450c-13cc-47c8-83c1-4da3b35d00f2 · outbound

This paper cites write newline.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.243176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09c29bc-af4c-439e-b92a-f70a8b768a32 · outbound

This paper cites GPT-4 Technical Report.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.250909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4978aec1-4348-41bc-b7c2-51c319609a10 · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Simple linear attention language models balance the recall-throughput tradeoff

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.257674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86c47fc-37b1-4ee8-9863-f59cd4058ef7 · outbound

This paper cites R.; et al.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models R.; et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.764012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b71ad9f2-08a8-44ca-9b1d-bebffa3614a0 · outbound

This paper cites R.; and Hinton, G.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models R.; and Hinton, G

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.748117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1afd27da-cebc-4d8f-a3c4-4519396c1189 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.732554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae958d99-52d4-448c-98ac-c33aaeedbf3b · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.280860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673a6c1e-ef29-46ed-907f-15434ede0e09 · outbound

This paper cites by parts.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models by parts

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.705616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 382ee36f-b036-46f5-9ba6-00b3e67c0bc9 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.689382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d51955f2-bf2a-40e0-b48f-02a45a354d95 · outbound

This paper cites SummScreen: A Dataset for Abstractive Screenplay Summarization.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models SummScreen: A Dataset for Abstractive Screenplay Summarization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.297757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f37e89d-4baf-49cb-9356-3cf0bbc04390 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.674887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dabe11c9-89fc-4040-a11a-f312d2dad1e9 · outbound

This paper cites J.; and Rudnicky, A.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models J.; and Rudnicky, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.656297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5826975d-b4f9-468b-b469-fdd910f00b41 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.639443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b205bbf1-ebcb-470c-8875-1fd178736052 · outbound

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

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.317976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c392cf5-dd08-4b1b-857a-16960221c315 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.322683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e3de720-1306-4a10-b820-76242885159e · outbound

This paper cites P.; Caron, M.; Geirhos, R.; Alabdul mohsin, I.; Jenatton, R.; Beyer, L.; Tschannen, M.; Arnab, A.; Wang, X.; Ruiz, C.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models P.; Caron, M.; Geirhos, R.; Alabdul mohsin, I.; Jenatton, R.; Beyer, L.; Tschannen, M.; Arnab, A.; Wang, X.; Ruiz, C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.618829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e03e08df-f67e-4e94-ae92-476ee0d61109 · outbound

This paper cites The Llama 3 Herd of Models.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.332412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800ccb2a-abe6-40e8-81b4-b775960de5e2 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.601272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2269333-c4aa-4807-adcd-d2d6d1d9e19e · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.580629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 844e1b39-a54c-4e9f-a16f-f8d71f905103 · outbound

This paper cites On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.346407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48b8e52-3130-4f29-aaa2-c8d1d7664ea8 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.559256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82d38187-94bb-43ed-9ab3-8bbcbc4263e4 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.538663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09051a19-953d-4690-bf21-d09e8d5804d2 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.523345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37daf6d2-b9a3-485e-9cf3-ab480d62ae3b · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.509230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe2a43d5-5d83-470e-82cc-2bbb58927f7a · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.495508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a9b54c1-16d7-401b-9732-b336aab27439 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Gaussian Error Linear Units (GELUs)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.378740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f249c3-6dc9-41c7-867f-f600191971bc · outbound

This paper cites R.; Pawar, S.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models R.; Pawar, S

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.481540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9676e927-969a-4fe6-abd9-a992f8c35dd1 · outbound

This paper cites G.; Zhu, M.; Chen, B.; Kalenichenko, D.; Wang, W.; Weyand, T.; Andreetto, M.; and Adam, H.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models G.; Zhu, M.; Chen, B.; Kalenichenko, D.; Wang, W.; Weyand, T.; Andreetto, M.; and Adam, H

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.467030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa4a593e-282d-459a-ba09-e5cf7e364d50 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.450066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b9921e9-7ca0-4c06-9032-8abc3769845b · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.434776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b7d9315-0db8-4a0a-aaa4-1f3b4f8905ec · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.418760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94bbdf7f-f9a8-4560-b503-b123140d4603 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Categorical Reparameterization with Gumbel-Softmax

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.411057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45d73a1-ef9e-4631-a9b3-ad2892b48fdd · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.403912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3824dba-abe0-476b-b9ee-21885413a561 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.388622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37fcd849-5bf3-4dd4-b3ee-5ca6f8eee27e · outbound

This paper cites The Impact of Positional Encoding on Length Generalization in Transformers.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models The Impact of Positional Encoding on Length Generalization in Transformers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.426076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb185fb-0a3d-46ab-863c-1741904b819a · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.372052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 091da57e-2e0a-4363-b48f-e25ec83a1946 · outbound

This paper cites Attention is a smoothed cubic spline.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Attention is a smoothed cubic spline

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.436829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6979abf-00b4-4a54-991a-b774ddcfdb54 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.355531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e62bf4f-6e0b-4b97-bd1f-38f3b130f740 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.337359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d09781f5-177a-40e5-af82-b7af3197ebd5 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.319524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7531074-dbdf-4d2c-a97b-48e9c4b45065 · outbound

This paper cites DeepSeek-V3 Technical Report.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models DeepSeek-V3 Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.456266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d256a35-7ce4-4dd2-8bbd-e90f1ae3e65c · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.303432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc332018-3c71-429f-b65d-9b4363ef0ea3 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.287457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84242bf9-f542-4348-a7e6-9b0c5d1f99bb · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.272505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53c1ade8-1970-4297-8ee3-ef44a3de66a1 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Mish: A Self Regularized Non-Monotonic Activation Function

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.481878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392fd148-fa66-4dd3-a5a8-1aef7d21abb8 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.257654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8f76f559-d5a5-412c-9b2a-ccae095ebe93 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.493338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0fd2e6d-213d-4269-83b8-127961d1e8cf · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.242213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9b58937-1bd0-4257-ac27-c5aa32c4ee25 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.225928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70a5e1cf-e20d-4550-8a5a-9b4d2c353557 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.508980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696ec69e-2f2b-4cef-a77d-81ec2fb280fa · outbound

This paper cites Theory, Analysis, and Best Practices for Sigmoid Self-Attention.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.513319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb95c696-13c1-43cf-a826-a14e5ec2c52c · outbound

This paper cites E.; Hinton, G.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models E.; Hinton, G

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.198967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4ef9322-3f76-428b-af15-57d9263e839c · outbound

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

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.522551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fcb19a-b739-4256-964e-b4716731c418 · outbound

This paper cites A Study on ReLU and Softmax in Transformer.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models A Study on ReLU and Softmax in Transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.526974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a078954-c436-435d-9d36-759fab12192b · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.183262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 362aadb9-e01a-4876-be90-5631cea15675 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.167011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec11d1d1-90f7-460d-924d-1abb3bfa6b42 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.539536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25cc4e7-1f4f-4a46-a9e6-38e88e72d2d9 · outbound

This paper cites H.; Bai, S.; Yamada, M.; Morency, L.-P.; and Salakhutdinov, R.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models H.; Bai, S.; Yamada, M.; Morency, L.-P.; and Salakhutdinov, R

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.139813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d973ba7-7ece-4f81-99ab-3b644e681b9f · outbound

This paper cites Softmax is not Enough (for Sharp Size Generalisation).

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Softmax is not Enough (for Sharp Size Generalisation)

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.547856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48099b98-8955-4f01-8028-8706e3b35946 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.122809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d8df6d7-f4f4-4a25-ad5b-9970416fc9c6 · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Crowdsourcing Multiple Choice Science Questions

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.556856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 426eac08-09b7-4efa-9833-416be8e86664 · outbound

This paper cites Replacing softmax with ReLU in Vision Transformers.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Replacing softmax with ReLU in Vision Transformers

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.562221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7c6100-8cdb-4cf2-a2b7-ab235e99f9ba · outbound

This paper cites Mirage: A Multi-Level Superoptimizer for Tensor Programs.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Mirage: A Multi-Level Superoptimizer for Tensor Programs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.567767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f934c5-9034-46d0-a0cc-594e12894b5d · outbound

This paper cites Qwen2 Technical Report.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Qwen2 Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.574537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4bbe4df-26fe-40c8-bd68-2bf91108be37 · outbound

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

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.579659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e64777e-5e70-4e98-ab92-111f161fcd1f · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.585595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc91a85-4c6d-47ee-b5c1-e42199091126 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.107767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbf88782-b4b7-4c47-ad95-f7cf4d43d904 · outbound

This paper cites an unresolved cited work.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:15:40.093346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers