Paper Citation Record · LEDGER

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2412.18303.

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

pith.paper-citation-record.v1
2412.18303 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:53:43.070971Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:37:46.372598Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T20:37:46.789956Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy11
unresolved5
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17a9fe5a-96d1-4af1-8453-384731784333 · outbound

This paper cites This suggests that ECALP effectively utilizes the manifold structure of the test data.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model This suggests that ECALP effectively utilizes the manifold structure of the test data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.161193Z

Source-reported events for the cited work

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Observation a9169170-1bed-4e86-85f9-d2b0a8b46fee · outbound

This paper cites an unresolved cited work.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:53:43.152536Z

Source-reported events for the cited work

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Observation 604b1fb4-edc1-4ee9-aa81-f18ba655536a · outbound

This paper cites Learning transferable visual models from natural language supervision.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Learning transferable visual models from natural language supervision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.189105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79cd85ee-7f28-44db-9c38-be25d5e12e86 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:43.042708Z

Source-reported events for the cited work

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Observation bdd975c3-c15e-4c9b-8e23-bf1f4d46cb62 · outbound

This paper cites The test samples are more cluttered and mixed up in OxfordPets and Food101 than in Flowers102 and EuroSAT.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model The test samples are more cluttered and mixed up in OxfordPets and Food101 than in Flowers102 and EuroSAT

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.131055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8229e461-ee58-4fe4-91ec-c30bafa9e73c · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Sun database: Large-scale scene recognition from abbey to zoo

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.181861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1ac6169-c38a-44ec-9eff-8bba086b6141 · outbound

This paper cites Test-Time Distribution Normalization for Contrastively Learned Vision-language Models.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Test-Time Distribution Normalization for Contrastively Learned Vision-language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:53:43.095337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 711fe637-6c82-4756-8b5a-e8e2c4c8e12e · outbound

This paper cites It presents the performance across these different configurations, highlighting the highest accuracy achieved when kP = 3 and KDu = 8, where the model reached an accuracy of 54.49%.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model It presents the performance across these different configurations, highlighting the highest accuracy achieved when kP = 3 and KDu = 8, where the model reached an accuracy of 54.49%

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.168550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f583d5c9-b78d-4358-bfbe-028f462d4b57 · outbound

This paper cites These visualizations highlight the substantial domain shifts present in this challenging task, demonstrating the robustness required to handle such severe corruptions effectively.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model These visualizations highlight the substantial domain shifts present in this challenging task, demonstrating the robustness required to handle such severe corruptions effectively

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.142030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40da6c57-c3e9-44b8-8da7-bca77b37ed7e · outbound

This paper cites The analysis focuses on two key components: distance matrix compu- tation and nearest neighbor selection.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model The analysis focuses on two key components: distance matrix compu- tation and nearest neighbor selection

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.175674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84f9bf19-1d98-4e5c-8dc0-7b616490af1b · outbound

This paper cites Cats and dogs.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Cats and dogs

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.197869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4508f916-5dc0-40c6-b874-9221cc633005 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:43.027741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e78b72-7bec-4501-be59-83285c8f5a27 · outbound

This paper cites Imagenet: A large-scale hi- erarchical image database.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Imagenet: A large-scale hi- erarchical image database

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.219878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66fd6783-4f98-4ba0-a2f0-3f866714e282 · outbound

This paper cites Label propagation for deep semi- supervised learning.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Label propagation for deep semi- supervised learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.212606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aef13928-03ee-4def-86c4-ff5545df32c7 · outbound

This paper cites A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:43.046703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8d2e88-ddaa-4f47-9eb4-fd226bffe329 · outbound

This paper cites Automated flower classification over a large number of classes.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Automated flower classification over a large number of classes

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:53:43.205076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 432cd7dc-ffb5-4b79-b9cf-9953ea6637b4 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Fine-Grained Visual Classification of Aircraft

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:43.032790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a4f7978f-d6bb-405f-8b45-9c087719dd17 · inbound

Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language Models cites this paper.

Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language Models Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T20:37:46.795260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.