Paper Citation Record · LEDGER

Enhancing Target-unspecific Tasks through a Features Matrix

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.03414.

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

pith.paper-citation-record.v1
2505.03414 v5

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:52.552845Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact2
verified fuzzy3
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 728a1bb2-0c1b-42d9-befe-e5861a6e8d9b · outbound

This paper cites An extremely simple algo- rithm for source domain reconstruction.IEEE Transac- tions on Cybernetics, 54(3):1921–1933,.

Enhancing Target-unspecific Tasks through a Features Matrix An extremely simple algo- rithm for source domain reconstruction.IEEE Transac- tions on Cybernetics, 54(3):1921–1933,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:52.834740Z

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.

Observation f4749239-6558-4293-a243-7b170b845e5a · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Enhancing Target-unspecific Tasks through a Features Matrix Fine-Grained Visual Classification of Aircraft

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.524353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c0f9db-f2f9-420f-a863-430887a493a4 · outbound

This paper cites Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models.

Enhancing Target-unspecific Tasks through a Features Matrix Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:56:52.681591Z

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.

Observation 5806f27d-e965-41cb-bbdd-d7caa621b779 · outbound

This paper cites Yao, H., Zhang, R., and Xu, C.

Enhancing Target-unspecific Tasks through a Features Matrix Yao, H., Zhang, R., and Xu, C

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.545972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed6c483-0baf-4876-8606-95f98b9a60a8 · outbound

This paper cites Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

Enhancing Target-unspecific Tasks through a Features Matrix Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.549363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61a2716-d840-42d7-8606-dc37db048f08 · outbound

This paper cites Rankadaptor: Hierarchical rank alloca- tion for efficient fine-tuning pruned llms via performance model.

Enhancing Target-unspecific Tasks through a Features Matrix Rankadaptor: Hierarchical rank alloca- tion for efficient fine-tuning pruned llms via performance model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:52.806948Z

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.

Observation 5b3b0fd1-2a87-4fe7-b721-6b689c64d7de · outbound

This paper cites The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration.

Enhancing Target-unspecific Tasks through a Features Matrix The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.520731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e790acaf-14ef-42ea-a680-7888b85ce3a5 · outbound

This paper cites Nlprompt: Noise-label prompt learning for vision-language models.arXiv preprint arXiv:2412.01256,.

Enhancing Target-unspecific Tasks through a Features Matrix Nlprompt: Noise-label prompt learning for vision-language models.arXiv preprint arXiv:2412.01256,

Reference 2008

Resolution: verified exact; raw_fallback, observed 2026-08-15T23:56:52.747889Z

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.

Observation c0dd488d-ce27-456f-863f-70788270f5c6 · outbound

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

Enhancing Target-unspecific Tasks through a Features Matrix An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.505921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a43a20-7869-479b-a079-98325b8ba2a9 · outbound

This paper cites PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing.

Enhancing Target-unspecific Tasks through a Features Matrix PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.538989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f90e929-a01f-4e4b-9179-8f497e9ee4b3 · outbound

This paper cites A multi-target tracking algorithm for fast-moving work- pieces based on event camera.

Enhancing Target-unspecific Tasks through a Features Matrix A multi-target tracking algorithm for fast-moving work- pieces based on event camera

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:52.817775Z

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.

Observation eac38c27-4105-4333-ab5c-0d0a0f4e4990 · outbound

This paper cites Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments.

Enhancing Target-unspecific Tasks through a Features Matrix Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.509747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf46f2d-6561-4db4-aaad-3beb77611801 · outbound

This paper cites Food-101– mining discriminative components with random forests.

Enhancing Target-unspecific Tasks through a Features Matrix Food-101– mining discriminative components with random forests

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.497502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a2407d-bc43-4682-a6a6-224c3618d6ba · outbound

This paper cites Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories.

Enhancing Target-unspecific Tasks through a Features Matrix Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.517243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f807ca2b-3793-457a-9f38-14afeb56fd36 · outbound

This paper cites Generalizable Prompt Learning of CLIP: A Brief Overview.

Enhancing Target-unspecific Tasks through a Features Matrix Generalizable Prompt Learning of CLIP: A Brief Overview

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.501867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae58434-9ba1-4397-8e67-efd3d4f9fcbc · outbound

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

Enhancing Target-unspecific Tasks through a Features Matrix UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.535390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.