Paper Citation Record · LEDGER

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2512.12571.

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

pith.paper-citation-record.v1
2512.12571 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:41:32.441280Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:53:58.310605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:55:24.401467Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8da7b8b0-5a1e-45d7-91fb-eefda4e15779 · outbound

This paper cites Align your prompts: Test-time prompting with distribution align- ment for zero-shot generalization.Advances in Neural Infor- mation Processing Systems, 36:80396–80413, 2023.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Align your prompts: Test-time prompting with distribution align- ment for zero-shot generalization.Advances in Neural Infor- mation Processing Systems, 36:80396–80413, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:27.921329Z

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Unavailable: canonical work link unavailable.

Observation faa940c8-e5b5-4913-98d1-84683c5cd316 · outbound

This paper cites Unexplored faces of robustness and out-of-distribution: Co- variate shifts in environment and sensor domains.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Unexplored faces of robustness and out-of-distribution: Co- variate shifts in environment and sensor domains

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:27.998669Z

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Observation 0c6964ff-d248-4db4-9133-7704f1104d39 · outbound

This paper cites Adaptive Camera Sensor for Vision Models.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Adaptive Camera Sensor for Vision Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.078331Z

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Observation 0c466b47-3128-4481-a0bf-0459f3a10731 · outbound

This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Ad- vances in neural information processing systems, 32, 2019.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Ad- vances in neural information processing systems, 32, 2019

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.184169Z

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Observation 9893250d-5ce0-4f2b-bae0-b8dff6ebcb35 · outbound

This paper cites Albumentations: fast and flexible image augmenta- tions.Information, 11(2):125, 2020.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Albumentations: fast and flexible image augmenta- tions.Information, 11(2):125, 2020

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.268014Z

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Unavailable: canonical work link unavailable.

Observation 79f57799-dd70-43c7-8d4c-d48a3876fb32 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.409740Z

Source-reported events for the cited work

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Observation dccc0b54-3b19-41ed-a7bc-f05de7e9c474 · outbound

This paper cites Frustratingly easy test-time adaptation of vision-language models.Advances in Neural Information Processing Systems, 37:129062–129093, 2024.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Frustratingly easy test-time adaptation of vision-language models.Advances in Neural Information Processing Systems, 37:129062–129093, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.630271Z

Source-reported events for the cited work

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Observation 767ba40e-da87-4bda-937d-733ac9b72f8c · outbound

This paper cites Diverse data augmentation with diffusions for effective test-time prompt tuning.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.890260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8f6eff-5f30-433b-b4aa-7c0c23a5eacf · outbound

This paper cites Dat- acomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Sys- tems, 36:27092–27112, 2023.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Dat- acomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Sys- tems, 36:27092–27112, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:28.977179Z

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Observation 2f7f1949-095c-4446-8c79-90060f18c684 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.106555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ddcb919-bea3-4480-8eb8-8cbc6790f0ba · outbound

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

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models The many faces of robust- ness: A critical analysis of out-of-distribution generalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.182902Z

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Observation 3db58bb1-fd1f-48b9-accb-244874754993 · outbound

This paper cites Natural adversarial examples.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Natural adversarial examples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.261248Z

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Observation 0f14f0de-712a-45d6-95b4-1766294dcad2 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.334633Z

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Unavailable: canonical work link unavailable.

Observation 93dff597-f67a-4849-aebb-4215800b6df3 · outbound

This paper cites CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.428742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea2398f-c22a-41f1-8b39-111bf350c8f6 · outbound

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

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Efficient test-time adaptation of vision-language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.557125Z

Source-reported events for the cited work

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Observation 693e43bd-524c-463f-aa96-57a3e8d7ce4f · outbound

This paper cites Promptsync: Bridging domain gaps in vision-language models through class-aware prototype alignment and discrimination.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Promptsync: Bridging domain gaps in vision-language models through class-aware prototype alignment and discrimination

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.720338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99fa42f5-89ec-4143-9e01-a263e529b954 · outbound

This paper cites Maple: Multi-modal prompt learning.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Maple: Multi-modal prompt learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.855962Z

Source-reported events for the cited work

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Observation 7c94c167-8210-4dae-9132-7895313667d9 · outbound

This paper cites A decade’s battle on dataset bias: Are we there yet? InThe Thirteenth International Conference on Learning Representations.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models A decade’s battle on dataset bias: Are we there yet? InThe Thirteenth International Conference on Learning Representations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:29.947318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a2f71d-4de9-461b-a570-617680d0f13a · outbound

This paper cites Swapprompt: Test-time prompt adaptation for vision- language models.Advances in Neural Information Process- ing Systems, 36:65252–65264, 2023.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Swapprompt: Test-time prompt adaptation for vision- language models.Advances in Neural Information Process- ing Systems, 36:65252–65264, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.077165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ced0c96-5518-42e4-b39a-d0c400eef713 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Learning transferable visual models from natural language supervi- sion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.255864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27f16e8-865b-4b83-bbb3-722c2051f06d · outbound

This paper cites Do vision trans- formers see like convolutional neural networks?Advances in neural information processing systems, 34:12116–12128,.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Do vision trans- formers see like convolutional neural networks?Advances in neural information processing systems, 34:12116–12128,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.354533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ca3aab-1cfa-45d4-b0cd-8a71a7d5fec7 · outbound

This paper cites Do imagenet classifiers generalize to im- agenet? InInternational conference on machine learning, pages 5389–5400.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Do imagenet classifiers generalize to im- agenet? InInternational conference on machine learning, pages 5389–5400

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.440246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690aca04-22a7-477c-8789-16d59e05df30 · outbound

This paper cites A mathematical theory of communi- cation.The Bell system technical journal, 27(3):379–423,.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models A mathematical theory of communi- cation.The Bell system technical journal, 27(3):379–423,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.531870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e1f084-3aea-47a7-a291-184cfd2bf0ed · outbound

This paper cites Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.666310Z

Source-reported events for the cited work

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Observation d696ac54-ab67-42da-bbe9-fe4941e3a29d · outbound

This paper cites O-tpt: Orthogonality constraints for calibrating test-time prompt tuning in vision-language models.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models O-tpt: Orthogonality constraints for calibrating test-time prompt tuning in vision-language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.790374Z

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Unavailable: canonical work link unavailable.

Observation 00bff929-9a90-499b-90e1-dcddfbe52f38 · outbound

This paper cites Test- time prompt tuning for zero-shot generalization in vision- language models.Advances in Neural Information Process- ing Systems, 35:14274–14289, 2022.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Test- time prompt tuning for zero-shot generalization in vision- language models.Advances in Neural Information Process- ing Systems, 35:14274–14289, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:30.970387Z

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Observation 1148577a-f0c8-4373-b93f-b7fc630eb49e · outbound

This paper cites Just shift it: Test-time prototype shifting for zero-shot generaliza- tion with vision-language models.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Just shift it: Test-time prototype shifting for zero-shot generaliza- tion with vision-language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.082245Z

Source-reported events for the cited work

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Observation b213e452-94a3-495e-b486-54138c0d8602 · outbound

This paper cites Yfcc100m: The new data in multimedia research.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Yfcc100m: The new data in multimedia research

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.169799Z

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Observation 89b1e7e2-3dfd-47f8-a1a0-f4470715897f · outbound

This paper cites Unbiased look at dataset bias.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Unbiased look at dataset bias

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.247515Z

Source-reported events for the cited work

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Observation 884835b2-7c08-4dac-aa49-07d0064a46f4 · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in neural information pro- cessing systems, 32, 2019.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Learning robust global representations by penalizing local predictive power.Advances in neural information pro- cessing systems, 32, 2019

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.366985Z

Source-reported events for the cited work

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Observation 431b674b-b3b4-4165-b212-fa6691793dd3 · outbound

This paper cites DynaPrompt: Dynamic Test-Time Prompt Tuning.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models DynaPrompt: Dynamic Test-Time Prompt Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.529031Z

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Unavailable: canonical work link unavailable.

Observation 264a44de-4c5e-42c4-9c9d-94a548434a2b · outbound

This paper cites Tiny imagenet visual recognition challenge.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Tiny imagenet visual recognition challenge

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.702523Z

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Observation fa6c2eb5-7d1c-4baa-a6c3-02c826cf6337 · outbound

This paper cites C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.842583Z

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Observation b53f81c4-28bd-4e3d-992e-126ca3d18bb2 · outbound

This paper cites an unresolved cited work.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:31.965686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb54ac54-3c71-45e3-90f3-5845031c1679 · outbound

This paper cites Understanding bias in large-scale visual datasets.Advances in Neural Informa- tion Processing Systems, 37:61839–61871, 2024.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Understanding bias in large-scale visual datasets.Advances in Neural Informa- tion Processing Systems, 37:61839–61871, 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:32.034250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e6fdaa-00c8-4607-b8dc-be7fcbf04cfd · outbound

This paper cites Historical test-time prompt tuning for vision foundation models.Advances in Neural Information Pro- cessing Systems, 37:12872–12896, 2024.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Historical test-time prompt tuning for vision foundation models.Advances in Neural Information Pro- cessing Systems, 37:12872–12896, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:32.133337Z

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Unavailable: canonical work link unavailable.

Observation dff043d9-2c70-4de0-8d12-dec903cb31c2 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Conditional prompt learning for vision-language mod- els

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:32.277280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90697d89-92a8-4270-9bee-25d119922dc1 · outbound

This paper cites Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348,.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T16:41:32.360595Z

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Unavailable: canonical work link unavailable.

Observation 2d0370f8-c9d6-423a-aeba-094eb80a603e · outbound

This paper cites a photo of a class.

Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models a photo of a class

Reference 2022

Resolution: malformed identifier; no resolver link, observed 2026-08-03T16:41:32.441280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 648895bb-8aa2-4060-add8-b590db917b59 · inbound

[Emerging Ideas] Artificial Tripartite Intelligence: A Bio-Inspired, Sensor-First Architecture for Physical AI cites this paper.

[Emerging Ideas] Artificial Tripartite Intelligence: A Bio-Inspired, Sensor-First Architecture for Physical AI Measurement Plasticity: Sensor-Level Adaptation for Vision-Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-12T02:09:11.380164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.