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Paper Citation Record · LEDGER

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.18039.

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

pith.paper-citation-record.v1
2505.18039 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:38:15.057033Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75e22848-b8d5-42b8-8542-3a8bd0054c9b · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation The cityscapes dataset for semantic urban scene understanding

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:13.132984Z digest=sha256:2ff1d820c4a876b327fd93874f8318f3aba8b7e3b91a5fd564f8122edbfd6049

Observation 4d794bce-1b1d-49e0-a6a0-c53330851155 · outbound

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

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T14:38:17.305252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4b6d96e9-ec91-4b23-a8fc-726f53158dcc · outbound

This paper cites A survey of deep learning techniques for autonomous driving.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation A survey of deep learning techniques for autonomous driving

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T14:38:17.155458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 82533170-a627-4967-9185-d4af49f02a26 · outbound

This paper cites Proximity-induced collective modes in an unconventional superconductor heterostructure.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Proximity-induced collective modes in an unconventional superconductor heterostructure

Reference 4

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metadata mismatch
local_arxiv, observed 2026-08-07T14:38:15.537527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:13.350592Z digest=sha256:2eb3dccc7d6345bbcb392770861993d1113f187271b6526c46e75e5e0f61d533

Observation 8eaed573-4161-44d4-8470-b2922a10fd83 · outbound

This paper cites Deep residual learning for image recognition.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Deep residual learning for image recognition

Reference 5

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Observation 7b914458-c5b2-46df-8050-36579f2dad5e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Distilling the Knowledge in a Neural Network

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:13.521254Z digest=sha256:f086086ddd9c2ed9dd1753429ec11313b787dcc8a891949669d87100d62a56bb

Observation 01632213-daba-4f38-9c1a-bbe4f19ab3a0 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:13.594086Z digest=sha256:05337b426e92915d172aae416b230f3007ea23305beb1b83fca72d38620f9492

Observation 3def5470-c944-4ed0-aa8f-718f1d47faf1 · outbound

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

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:16.975041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:13.660751Z digest=sha256:c6aa541015ea71ea6384210dca1b1deba6ff491b854159ee9a8fd87519856f0e

Observation bac65b6b-3d66-44f8-8f89-1cbf11275270 · outbound

This paper cites Johnson, M.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Johnson, M

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T14:38:16.800033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4c5873c7-b5ee-498a-b106-33147d408550 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:13.780743Z digest=sha256:fac7a6a079f4dffa42bd2d8cc6807dff778f21cb6756e7e2da349eadc1cdb776

Observation 20512234-98d8-4041-a6b5-e57de8f07ba9 · outbound

This paper cites Cross-architecture knowledge distillation.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Cross-architecture knowledge distillation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:16.646152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:13.881414Z digest=sha256:c860020352fc8eacee13fe90853e93c693e0b2e1a21468feb14a09540b9fb921

Observation 7d3609b5-10f1-486f-9a64-67efbf9726b0 · outbound

This paper cites LightViT: Towards Light-Weight Convolution-Free Vision Transformers.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:13.966044Z digest=sha256:bb2768e69b2d62dedc3cb829939615074517f67f05642942282339f6f5918caa

Observation 1997fac5-1c39-4d08-a23a-f7191059bcf5 · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:14.037113Z digest=sha256:9a06030a34471d0799a2229bada04f7972ed84818611b850c5c43d050bce87f5

Observation 67672e32-1082-48ff-90c2-dd632113a88e · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation The mapillary vistas dataset for semantic understanding of street scenes

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:16.433151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:14.137499Z digest=sha256:9c74d0f7b5bf69adb82f859ae45a0ea410f6bedf59bc8e015993dd61b5557dd5

Observation 210b09c2-3172-43bf-9696-4774c22ea3a6 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation DINOv2: Learning Robust Visual Features without Supervision

Reference 15

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Unavailable: canonical work link unavailable.

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Observation b0e4e628-7917-40f9-bdbb-2c4c204ec583 · outbound

This paper cites AppVLM: A Lightweight Vision Language Model for Online App Control.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation AppVLM: A Lightweight Vision Language Model for Online App Control

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:14.313795Z digest=sha256:636a1176ad2dd088804ec318c970232d580035b7737379b65ba78c6b27a8a36c

Observation 03e53eb0-cd81-4ecf-9c7a-6b0e844866bb · outbound

This paper cites Pizzi, M.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Pizzi, M

Reference 17

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raw_fallback, observed 2026-08-07T14:38:16.283285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:14.377641Z digest=sha256:684617a3acdd778108ce566508f5cb9e34e1eb668b38596e7520838e0ef32ab8

Observation 0ea8bf02-78f4-4e86-a5cf-5fe66a067198 · outbound

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

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Learning transferable visual models from natural language supervi- sion

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:14.493534Z digest=sha256:e335be513061eaeec33f0513efed42e8102437cb1371d3939e3d84261a2dd032

Observation b4ceb828-8b80-485e-890b-36daf87aa765 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:14.584602Z digest=sha256:6307537d7686adf7c10e611d094c1fb5e6b983e75ff0df8484d581f725b81e24

Observation 2b875533-abc6-41f6-862a-eb8d4192c474 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:16.043449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:14.639020Z digest=sha256:822f9a703476f4a671c70a48c78786bbb3a35a766df52ff72d1a4b0937025f8e

Observation 8ae3018c-4d80-46eb-8b0e-3e5cd04291e8 · outbound

This paper cites Efficientnetv2: Smaller mod- els and faster training.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Efficientnetv2: Smaller mod- els and faster training

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:15.922484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:14.713827Z digest=sha256:a38ed218a902cfe78391f2dfa4628f162d782ed70f85bd691ecc6fa56ee2ffd6

Observation 0bc4ce0d-e295-4ad4-9791-74706f319803 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Florence: A New Foundation Model for Computer Vision

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:14.840437Z digest=sha256:4b86ef696eefba174c2889e4cffbd1f0964b08fca66226215368e71f90583a91

Observation 9156d912-4a20-4f69-89d6-4675797e7498 · outbound

This paper cites Edge ai: On-demand accel- erating deep neural network inference via edge comput- ing.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Edge ai: On-demand accel- erating deep neural network inference via edge comput- ing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:15.800483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:38:14.916848Z digest=sha256:74be616e8c37b7807a211829fd92222a13308144adf8a6bae9346a3991ab7355

Observation b2a958e4-4a47-45ec-858b-22b96242ebf7 · outbound

This paper cites Knowledge distillation for model compression: A review.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation Knowledge distillation for model compression: A review

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T14:38:15.669583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.