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Paper Citation Record · LEDGER

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.21137.

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

pith.paper-citation-record.v1
2506.21137 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:41:03.576235Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact4
  • verified fuzzy13
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b19dc9c-6485-43b7-b106-c31efc8f8372 · outbound

This paper cites and Timofte, R.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention and Timofte, R

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2fcf312d-f1bc-4a89-9e61-5f1bc6cbe63c · outbound

This paper cites For a linear attention with nonlinear feature map, such as Log-Normal Attention (Nahshan et al., 2024), FLatten (Han et al., 2023), Efficientvit (Cai et al.,.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention For a linear attention with nonlinear feature map, such as Log-Normal Attention (Nahshan et al., 2024), FLatten (Han et al., 2023), Efficientvit (Cai et al.,

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6ee9dbd3-3bed-4343-ba68-9b650b27ed83 · outbound

This paper cites Visual Attention Network.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Visual Attention Network

Reference 4

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Observation 86977ae3-edc7-4103-a774-544ebe69c9de · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Retentive Network: A Successor to Transformer for Large Language Models

Reference 8

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source=pdf_text observed=2026-08-06T22:41:00.437305Z digest=sha256:a2cf283294e33bda3797f0655a53d7718b24b4bf646b1b38d2c338cf72ecf0dd

Observation 58b0b356-6d28-4981-83b7-e17222e42ea7 · outbound

This paper cites Building Vision Models upon Heat Conduction.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Building Vision Models upon Heat Conduction

Reference 10

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local_arxiv, observed 2026-08-06T22:41:04.119778Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1cdc740e-0733-4a00-a3ae-d558daf0c7a1 · outbound

This paper cites Multi-scale representations by varying window attention for semantic segmentation.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Multi-scale representations by varying window attention for semantic segmentation

Reference 11

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Observation 8570d556-5da5-4b1c-8064-f2f3a2bdf5a9 · outbound

This paper cites Yang, S., Wang, B., Shen, Y ., Panda, R., and Kim, Y.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Yang, S., Wang, B., Shen, Y ., Panda, R., and Kim, Y

Reference 12

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source=pdf_text observed=2026-08-06T22:41:00.790827Z digest=sha256:3e64548d348f4e51e36ddc59acf0ebf55a2151854dbc182d1363ac83ab71b710

Observation edcbce20-6541-4540-8d60-cb9e242ddf5e · outbound

This paper cites Cluster-wise spatio-temporal masking for efficient video-language pretraining.CoRR, abs/2603.22953,.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Cluster-wise spatio-temporal masking for efficient video-language pretraining.CoRR, abs/2603.22953,

Reference 13

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Observation 4bfc8b92-fcad-47fb-bb6e-311f791359f3 · outbound

This paper cites We investigate the probability distribution generated from one single query vector and a series of key vectors with PSE, analyzing how PSE(x) varying with query norm with softmax.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention We investigate the probability distribution generated from one single query vector and a series of key vectors with PSE, analyzing how PSE(x) varying with query norm with softmax

Reference 14

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Observation c47ac1f7-d9b8-41e2-a931-2900fa5e4004 · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 15

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Observation 53b31b29-ccd4-45d6-be50-e337f0c397f4 · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 17

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Observation 0e98d06b-d54c-41ac-ac4b-8e1a67745fb6 · outbound

This paper cites When mapping each d(x), we set f(x) = π 4 tanh(x) to make the cosine function only inhibits the directions with opposite signals.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention When mapping each d(x), we set f(x) = π 4 tanh(x) to make the cosine function only inhibits the directions with opposite signals

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 79f96265-d45f-489a-97a1-f3ed999d4b04 · outbound

This paper cites The model are trained under both 1× (12 epochs) and 3× (36 epochs).

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention The model are trained under both 1× (12 epochs) and 3× (36 epochs)

Reference 19

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Observation 419d3bf1-9ffd-4fa7-adf1-46d343388107 · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 20

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Observation 5f078a36-20b2-48e5-9ece-d35f02365d5c · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 22

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Observation 200df7f1-0a6d-4a7a-9323-72a320f50665 · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 23

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Observation 0abaa7a2-b550-4165-8ec1-b69847058abc · outbound

This paper cites an unresolved cited work.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Unresolved cited work

Reference 24

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Observation 2704de28-8383-48c6-a9ab-e28b8f9151d8 · outbound

This paper cites Subsequent variants adopt this Softmax-free paradigm with diverse kernel functions, including ReLU (Han et al., 2023; Cai et al., 2023), 1+ELU (Katharopoulos et al.,.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Subsequent variants adopt this Softmax-free paradigm with diverse kernel functions, including ReLU (Han et al., 2023; Cai et al., 2023), 1+ELU (Katharopoulos et al.,

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d8c2c9b4-beb2-499f-b969-9246fbca3b82 · outbound

This paper cites Furthermore, to enhance position awareness, Cosformer (Qin et al.,.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Furthermore, to enhance position awareness, Cosformer (Qin et al.,

Reference 26

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 31f14728-4984-4404-bad2-ed9d2de66b7d · outbound

This paper cites Inline (Han et al., 2024a) provides an important insight by proving that the softmax function is injective in most cases, whereas linear attention is not.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Inline (Han et al., 2024a) provides an important insight by proving that the softmax function is injective in most cases, whereas linear attention is not

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3c4bcd13-cb25-4e10-9626-775b79fc46f6 · outbound

This paper cites Existing kernel-based linear attention mechanisms generally suffer from performance degradation compared to standard softmax attention.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Existing kernel-based linear attention mechanisms generally suffer from performance degradation compared to standard softmax attention

Reference 28

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:41:03.393257Z digest=sha256:86151c875eb367725bb755e189198ba810010c43c2d00c952c593d2b149c7b7e

Observation bb4b90ac-9933-4aa2-a5c1-67a539567346 · outbound

This paper cites LAT” denotes the inference latency and “MEM.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention LAT” denotes the inference latency and “MEM

Reference 29

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:41:03.466413Z digest=sha256:911373966971e764592c8d0ee27bcfb0a906a19b9a3933165b74c7441224e14d

Observation 3aacb0d7-e9e7-4d85-80ef-77aba27032f4 · outbound

This paper cites Online normalizer calculation for softmax.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Online normalizer calculation for softmax

Reference 2017

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source=pdf_text observed=2026-08-06T22:41:00.323211Z digest=sha256:52c5a2271b6f78fb47aee86d8f07aa4b316d9b8f2a5771ecf70798115b4eccd9

Observation c8f0eff6-53f2-41d0-a337-13f8ffd1d16b · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 2018

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source=pdf_text observed=2026-08-06T22:41:00.365257Z digest=sha256:235b44def924703284169991e92ee4ca48b80cec48c5dd425dcea71dbf107ac0

Observation 4ac5e740-463d-435a-ad33-b1e5fdd217b3 · outbound

This paper cites All downstream tasks are conducted based onlm-evaluation-harness.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention All downstream tasks are conducted based onlm-evaluation-harness

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-06T22:41:05.843939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a2bce76a-bc28-4b00-ae6b-7198cc309d2f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention LLaMA: Open and Efficient Foundation Language Models

Reference 2021

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no resolver link, observed 2026-08-06T22:41:00.521836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:41:00.521836Z digest=sha256:8384e6d8b999feec3a03d7e274fce0830e0a5dd4afa4009a1b80535ad58aed96

Observation d33e664f-b340-49b5-9220-1f56116366a8 · outbound

This paper cites LAT” denotes the inference latency and “MEM.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention LAT” denotes the inference latency and “MEM

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:41:04.736767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:41:03.576235Z digest=sha256:45fa333451253eb38469f58157dbbd44df71ee28281f2e838ff8d6f7818052e3

Observation 345593ea-276b-40c1-af21-4002384efd4f · outbound

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

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:41:00.004929Z digest=sha256:a3f982a64cf677f504a1323f303e67c1963bd50dd7077502acd458d300f8c654

Observation 81d350e6-daa9-4c81-be6a-1967e5c631be · outbound

This paper cites Rectifying Magnitude Neglect in Linear Attention.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Rectifying Magnitude Neglect in Linear Attention

Reference 2024

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verified exact
local_arxiv, observed 2026-08-06T22:41:04.584489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:41:00.065948Z digest=sha256:7739402103cca4c11a31776d266fd261672023e84d5a2d00666baedc74ab7fd0

Observation 7f575b8c-08e9-4a18-962b-8c9196953650 · outbound

This paper cites Mirrorla: Reflecting feature map for vision linear attention.CoRR, abs/2602.04346,.

Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention Mirrorla: Reflecting feature map for vision linear attention.CoRR, abs/2602.04346,

Reference 2025

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verified exact
raw_fallback, observed 2026-08-06T22:41:04.421838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:41:00.213987Z digest=sha256:088d9c582521eabf1c818110ebb07eb870013978e4d68d02dda396fc31777d57

Pith citing papers

No inbound Pith citation observations are available.