Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation | Paper Citation Record

Observation 4a692af4-2a96-4076-90b7-f8689e1f6e42 · outbound

This paper cites write newline.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation write newline

Reference 1

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Observation ab67b1a5-36a5-4f83-b4e8-68da2e4664d0 · outbound

This paper cites Variational information distillation for knowledge transfer.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Variational information distillation for knowledge transfer

Reference 2

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This paper cites An intuitive proof of the data processing inequality.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation An intuitive proof of the data processing inequality

Reference 3

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Observation b2fc7a7d-d26e-406a-a930-b81e0ffe67f8 · outbound

This paper cites Token merging: Your vit but faster.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Token merging: Your vit but faster

Reference 4

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Observation 953dccac-7e0d-4799-8417-b2426d5cc451 · outbound

This paper cites Parameter-free online test-time adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Parameter-free online test-time adaptation

Reference 5

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Observation 7c333636-0fbb-4de0-97e0-db6155e89650 · outbound

This paper cites Zeroq: A novel zero shot quantization framework.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Zeroq: A novel zero shot quantization framework

Reference 6

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Observation 48058dc9-68d1-44b5-8e46-c95990656027 · outbound

This paper cites End-to-end object detection with transformers.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation End-to-end object detection with transformers

Reference 7

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Observation 2484984a-74f0-4ba3-8cca-0b5e12ce4eb7 · outbound

This paper cites Diffrate : Differentiable compression rate for efficient vision transformers.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Diffrate : Differentiable compression rate for efficient vision transformers

Reference 8

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Observation 900923ac-727b-4276-b07b-43031b92ca2f · outbound

This paper cites Chasing sparsity in vision transformers: An end-to-end exploration.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Chasing sparsity in vision transformers: An end-to-end exploration

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:34.808415Z

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Observation d33ae3ef-72f9-45b6-b7e6-624f1c9adb3b · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Binaryconnect: Training deep neural networks with binary weights during propagations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:34.579526Z

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Observation 88201b95-3557-4414-8e94-81478f705782 · outbound

This paper cites Learning to generate gradients for test-time adaptation via test-time training layers.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Learning to generate gradients for test-time adaptation via test-time training layers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:34.339016Z

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Observation 19514603-115d-48c4-84ab-5655493401b1 · outbound

This paper cites From Colors to Classes: Emergence of Concepts in Vision Transformers.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:18.437519Z

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Observation c0008244-8165-49e8-9da1-1077b13c1424 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:18.498073Z

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Observation d61c243f-e0da-4d25-b6bc-00d22d5cc1cb · outbound

This paper cites Frustratingly easy test-time adaptation of vision-language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Frustratingly easy test-time adaptation of vision-language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:34.099466Z

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Observation d37975ce-eb44-4f9c-9038-29d9b05f05ec · outbound

This paper cites Knowledge distillation in vision transformers: A critical review, 2024.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Knowledge distillation in vision transformers: A critical review, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:33.884576Z

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Observation ceeb7903-2dfa-4902-a17f-7e280fa4c729 · outbound

This paper cites Consolidator: Mergable adapter with group connections for visual adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Consolidator: Mergable adapter with group connections for visual adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:33.598167Z

Source-reported events for the cited work

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Observation 2d31c60d-cafb-4eef-b407-1dd7cc145703 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Benchmarking neural network robustness to common corruptions and perturbations

Reference 17

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Source-reported events for the cited work

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Observation 8e49046c-ef96-483b-95bf-78707bd3edaf · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:33.382653Z

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Observation 7ac612a8-266b-49ed-8e9c-8630cf3a94bd · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Distilling the Knowledge in a Neural Network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:19.219483Z

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Observation 0546da60-ed2b-42b7-8488-a81005204e67 · outbound

This paper cites Visual prompt tuning.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Visual prompt tuning

Reference 20

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Source-reported events for the cited work

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Observation 3cc11252-0842-42b2-9530-819f6b645ac9 · outbound

This paper cites Efficient test-time adaptation of vision-language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Efficient test-time adaptation of vision-language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.992754Z

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Observation e503e73a-3cf8-4e7f-8e7f-b4284fc5becf · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Token fusion: Bridging the gap between token pruning and token merging

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.792451Z

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Observation 94178162-cded-4787-84cc-15b7d86e490b · outbound

This paper cites Segment Anything.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Segment Anything

Reference 23

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Source-reported events for the cited work

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Observation f17edecd-2b6c-47b6-b09d-f5cd192a44ba · outbound

This paper cites Entropy is not enough for test-time adaptation: From the perspective of disentangled factors.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Entropy is not enough for test-time adaptation: From the perspective of disentangled factors

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.628845Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51d209d5-7c77-4837-9969-5bebb52f3850 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation A comprehensive survey on test-time adaptation under distribution shifts

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.392858Z

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Observation c213e50f-db77-40a0-b773-ca84dddedf69 · outbound

This paper cites Not all patches are what you need: Expediting vision transformers via token reorganizations.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Not all patches are what you need: Expediting vision transformers via token reorganizations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.241145Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49e9a103-947e-44f6-ade7-193c04422f60 · outbound

This paper cites Advancing reliable test-time adaptation of vision-language models under visual variations, 2025 b.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Advancing reliable test-time adaptation of vision-language models under visual variations, 2025 b

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:32.027511Z

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Observation bb784d84-0464-4f01-a78d-41d146f64743 · outbound

This paper cites Towards accurate binary convolutional neural network.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Towards accurate binary convolutional neural network

Reference 28

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Source-reported events for the cited work

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Observation 35d92e92-14f5-43cf-81d1-3caacc407407 · outbound

This paper cites Neural Networks with Few Multiplications.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Neural Networks with Few Multiplications

Reference 29

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Observation 763577dd-c0bd-4b34-920c-0b88aa442a84 · outbound

This paper cites Gpt understands, too.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Gpt understands, too

Reference 30

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Observation 4dc2c387-c928-4c5a-9f2c-c33269bba061 · outbound

This paper cites Post-training quantization for vision transformer.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Post-training quantization for vision transformer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:31.427040Z

Source-reported events for the cited work

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Observation d8b937c7-1e25-4479-9171-434ee21a54eb · outbound

This paper cites Learning transferable features with deep adaptation networks.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Learning transferable features with deep adaptation networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:31.227354Z

Source-reported events for the cited work

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Observation d7e2718d-906a-4f7f-9425-931222ebf646 · outbound

This paper cites Dsmoe: Matrix-partitioned experts with dynamic routing for computation-efficient dense llms.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Dsmoe: Matrix-partitioned experts with dynamic routing for computation-efficient dense llms

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-06T04:33:25.379301Z

Source-reported events for the cited work

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Observation ef07ce18-5412-4e48-ad5a-0c065a003869 · outbound

This paper cites Learn from the learnt: Source-free active domain adaptation via contrastive sampling and visual persistence.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Learn from the learnt: Source-free active domain adaptation via contrastive sampling and visual persistence

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:30.980914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ccf7bbf-94d5-4416-9d23-be9097a9985d · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Llm-pruner: On the structural pruning of large language models

Reference 35

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Source-reported events for the cited work

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Observation c2eedd13-3fa1-4d02-b3f4-1753b2599a39 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Efficient test-time model adaptation without forgetting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:30.820348Z

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Observation 1debaa46-26ef-4fb4-9eb1-b70c6bd734ef · outbound

This paper cites Towards stable test-time adaptation in dynamic wild world.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Towards stable test-time adaptation in dynamic wild world

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:30.677527Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 168406bc-8c73-48c3-a573-0fe31195477a · outbound

This paper cites Test-time model adaptation with only forward passes.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Test-time model adaptation with only forward passes

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:30.472468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e14c4fa-0aa3-4f23-9440-d0abcf76fb33 · outbound

This paper cites an unresolved cited work.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Unresolved cited work

Reference 39

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Observation 5e89abb9-cd51-4fcf-9d63-73f3ef96d660 · outbound

This paper cites Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:30.040986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8e3f988-590e-4e4e-920d-afa87116beb6 · outbound

This paper cites A mathematical theory of communication.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation A mathematical theory of communication

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:22.053343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e79b23f-101a-4421-a5a1-a88861f1aec4 · outbound

This paper cites Test-time prompt tuning for zero-shot generalization in vision-language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Test-time prompt tuning for zero-shot generalization in vision-language models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:22.175578Z

Source-reported events for the cited work

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Observation abafc62c-9046-49ee-9f00-a2ad4b6b1ba6 · outbound

This paper cites Unsupervised Domain Adaptation through Self-Supervision.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Unsupervised Domain Adaptation through Self-Supervision

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:22.328089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a50ff7b-001c-4252-96d4-d2eb78c04de1 · outbound

This paper cites Learning visual conditioning tokens to correct domain shift for fully test-time adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Learning visual conditioning tokens to correct domain shift for fully test-time adaptation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:29.842995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d2308c8-3492-4256-8bb3-cf182846b542 · outbound

This paper cites Unbiased look at dataset bias.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Unbiased look at dataset bias

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:29.590633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1120e535-dc0d-4a70-9300-6edad0f27006 · outbound

This paper cites Training data-efficient image transformers & distillation through attention, 2021.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Training data-efficient image transformers & distillation through attention, 2021

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:29.358223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b70c9a65-56d9-4663-83c6-c16365f6f886 · outbound

This paper cites Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:29.165590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3be15d24-2454-48ef-9065-bf069061f030 · outbound

This paper cites Similarity-preserving knowledge distillation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Similarity-preserving knowledge distillation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.963420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e2291f6-0c1a-4690-a344-bfefb815e89f · outbound

This paper cites Visualizing data using t-sne.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Visualizing data using t-sne

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:23.014512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f30b99ba-da33-4ee4-b6f1-831584bfb441 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Tent: Fully test-time adaptation by entropy minimization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.749285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a447116d-3c75-482b-9cb1-7112b394ca7d · outbound

This paper cites Lipton, and Eric P.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Lipton, and Eric P

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.586089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acf16742-40b3-4df7-86ed-d8baf503ff8c · outbound

This paper cites Continual test-time domain adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Continual test-time domain adaptation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.423617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 018b1bdd-936d-46b6-8cd2-9e312c16c13f · outbound

This paper cites Vtc-lfc: Vision transformer compression with low-frequency components.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Vtc-lfc: Vision transformer compression with low-frequency components

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.250108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eeadf156-d4d5-4639-a656-876e3397a478 · outbound

This paper cites In search of lost online test-time adaptation: A survey.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation In search of lost online test-time adaptation: A survey

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:28.030479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13a3c4a9-b731-44a5-ae95-c272c32579aa · outbound

This paper cites A survey of unsupervised deep domain adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation A survey of unsupervised deep domain adaptation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:27.847368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cab13c26-f213-4bd0-8df7-8405fabf174c · outbound

This paper cites S mooth Q uant: Accurate and efficient post-training quantization for large language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation S mooth Q uant: Accurate and efficient post-training quantization for large language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T04:33:23.720189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeb03c03-d5e4-40d0-8916-d0ab06fe5b27 · outbound

This paper cites Confidence-based visual dispersal for few-shot unsupervised domain adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Confidence-based visual dispersal for few-shot unsupervised domain adaptation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:27.613078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49564db4-1db1-4e78-ae57-aa67a9a36440 · outbound

This paper cites Pyra: Parallel yielding re-activation for training-inference efficient task adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Pyra: Parallel yielding re-activation for training-inference efficient task adaptation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:27.407176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b79c1f5a-b0a5-4df1-9454-85f992d6f547 · outbound

This paper cites Uniattn: Reducing inference costs via softmax unification for post-training llms.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Uniattn: Reducing inference costs via softmax unification for post-training llms

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-06T04:33:25.127111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 098922a5-8ef0-40ad-942d-2dca7ee279c3 · outbound

This paper cites Tad: A plug-and-play task-aware decoding method to better adapt llms on downstream tasks.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Tad: A plug-and-play task-aware decoding method to better adapt llms on downstream tasks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:27.256977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4badb508-51bd-44ff-aa7b-0fe87c59747d · outbound

This paper cites Mitigating hallucinations in multi-modal large language models via image token attention-guided decoding.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Mitigating hallucinations in multi-modal large language models via image token attention-guided decoding

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:27.010997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e9c9aea-1cb0-4e24-adfd-fa255a7df0ad · outbound

This paper cites Geometry-guided domain generalization for monocular 3d object detection.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Geometry-guided domain generalization for monocular 3d object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:26.846744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 990074b2-8bf9-4393-8f5d-f13e3fa9f0b3 · outbound

This paper cites Promptable anomaly segmentation with sam through self-perception tuning, 2024 b.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Promptable anomaly segmentation with sam through self-perception tuning, 2024 b

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:26.660112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97716970-c539-46df-a3c0-2c54dc123e31 · outbound

This paper cites Unified visual transformer compression.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Unified visual transformer compression

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:26.424646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b4bfc23-834d-40fc-809c-a21b47ef1e1a · outbound

This paper cites Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:26.236662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0746efe-2181-4bd5-87b0-47eb9e161963 · outbound

This paper cites Bayesian test-time adaptation for vision-language models.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Bayesian test-time adaptation for vision-language models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:25.983653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eed99777-c662-4005-a728-11bcfa3b9d5a · outbound

This paper cites A closer look at the CLS token for cross-domain few-shot learning.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation A closer look at the CLS token for cross-domain few-shot learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:33:25.797476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers