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Paper Citation Record · LEDGER

Language-Aware Information Maximization for Transductive Few-Shot CLIP

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.00305.

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

pith.paper-citation-record.v1
2509.00305 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:48:30.509741Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

18 of 18 outbound references displayed

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  • verified fuzzy4
  • unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2da3b428-e1ac-4f70-ac59-0800e52ba6b1 · outbound

This paper cites Enhancing remote sensing vision-language models for zero-shot scene classification.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Enhancing remote sensing vision-language models for zero-shot scene classification

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T13:48:32.206109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 24f38bea-f5c5-4c00-b8fc-b0106d60a007 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Learning deep representations by mutual information estimation and maximization

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.953578Z digest=sha256:2117e9dfd4c4c47c18e24beb753a4aa0a01ddd48c447c24da1d36f0004b5369a

Observation f0c537f6-bf74-470e-991c-490a791f15bd · outbound

This paper cites Prototype rectification for few-shot learning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Prototype rectification for few-shot learning

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T13:48:31.869903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:48:29.261184Z digest=sha256:91dd34c8550450daefe0f494d5cd057cb13258c512146e73136f4ac1ab705083

Observation 3e44494b-f2d6-4c9e-b0d8-79642299abb9 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Fine-Grained Visual Classification of Aircraft

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:29.592343Z digest=sha256:06a67e07e9539f3b6551bc780895c7af26a9eeda1fd3aec27c0110ab331524db

Observation d1a52e7a-5d28-4c5f-b64c-ded406ef0921 · outbound

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

Language-Aware Information Maximization for Transductive Few-Shot CLIP UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 13

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source=pdf_text observed=2026-08-05T13:48:29.817814Z digest=sha256:b23a3914a465fbd89b0020fb78ed4280059ecbb0abd3db08400fa5a13d480099

Observation f85716ac-fc1c-4a4b-9f23-b659933e5abe · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

Language-Aware Information Maximization for Transductive Few-Shot CLIP DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:30.068805Z digest=sha256:6469e3f97b78d80adefbdf8505c6c79dad21a9e4d2a9d42bdb67156b9cca6005

Observation eff55632-9910-4faf-876c-ce191620e4d0 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 17

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source=pdf_text observed=2026-08-05T13:48:30.321841Z digest=sha256:5d1db6455c1c55bce55fc844f2ac562c68b4d9357a47ba0933d7d68e09bcfaf0

Observation 429de730-5aaa-4eff-92dc-b658e5455778 · outbound

This paper cites Bolded values indicate highest accuracy.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Bolded values indicate highest accuracy

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-05T13:48:31.559256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:48:30.509741Z digest=sha256:2d1c0000a0badec67edd5e31f24c668f858cf865bda4af319187e010d45a0ac7

Observation efc3de95-4e55-41f6-83b4-6200ca066d95 · outbound

This paper cites On Mutual Information Maximization for Representation Learning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP On Mutual Information Maximization for Representation Learning

Reference 2012

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no resolver link, observed 2026-08-05T13:48:29.928805Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:29.928805Z digest=sha256:b4c9e8ffe4d974b40f587046fad89e6c4b0df90ee030d01e19a163279dd77f8a

Observation e8413698-2395-49eb-9478-abb3fdda1aa3 · outbound

This paper cites One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 2014

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no resolver link, observed 2026-08-05T13:48:28.331440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.331440Z digest=sha256:5362407fa7e068501a246a5bd420bb8f2485713a7509d4b14396dd04829b00d4

Observation b9d2c2ec-b48e-471d-90a7-b08c95b8cbbc · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Language-Aware Information Maximization for Transductive Few-Shot CLIP LoRA: Low-Rank Adaptation of Large Language Models

Reference 2018

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source=pdf_text observed=2026-08-05T13:48:29.123341Z digest=sha256:113eed2f3ac4a8a251328e9d711c20874de9156fea51f3de8c52c6f2e04a09e8

Observation 1c9e6068-0d59-4ef7-a5f0-9581c657323c · outbound

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

Language-Aware Information Maximization for Transductive Few-Shot CLIP Food-101–mining discriminative components with random forests

Reference 2019

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verified fuzzy
raw_fallback, observed 2026-08-05T13:48:32.416854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:48:28.233550Z digest=sha256:ffbc6eaaa36cdd6ae4340c340d4e49ce68cff389548a48a71739633efe86a820

Observation b1cdc049-a1a3-42e2-9850-3d1aa123d6e0 · outbound

This paper cites Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:48:30.936745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:48:29.413699Z digest=sha256:1441b930da3d7d0f9b9e5b94f2b053ac6afbacea89883f49b1ba26f102138748

Observation e84e4784-9d74-4d32-bd86-9299ebb692db · outbound

This paper cites QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.

Language-Aware Information Maximization for Transductive Few-Shot CLIP QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:29.723794Z digest=sha256:1fb6ecb10af935ddae04a24a200310c9756a9995cae012210788929f5e7b9230

Observation cc6875b8-71f1-42bf-91d1-9c410de1b8a2 · outbound

This paper cites A Closer Look at Few-shot Classification.

Language-Aware Information Maximization for Transductive Few-Shot CLIP A Closer Look at Few-shot Classification

Reference 2022

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.459376Z digest=sha256:3e24eae03922fd5d71373bb764af9c67fae23aa4a15031a509f385c2f17a8051

Observation 71e0fd8a-503f-4695-a504-7025cb3497fb · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.arXiv preprint arXiv:2106.10199,.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.arXiv preprint arXiv:2106.10199,

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:30.200758Z digest=sha256:d59a1eb95bca6de2bcdc56bf48e10ce9e96b2b8526996ca3bb3b32baa43e5f3b

Observation d6708676-caa0-4e45-993a-691b091aaeb4 · outbound

This paper cites A Baseline for Few-Shot Image Classification.

Language-Aware Information Maximization for Transductive Few-Shot CLIP A Baseline for Few-Shot Image Classification

Reference 2024

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no resolver link, observed 2026-08-05T13:48:28.591526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.591526Z digest=sha256:b88a28b2c0e936ea58451ac2dcbf8a9f16bb0a9a9b73c3f1d91e20f36c86b1ae

Observation 29b34e47-b7d0-4933-bc09-3cb582559cdc · outbound

This paper cites Fine-tuning clip’s last visual projector: A few-shot cornucopia.arXiv preprint arXiv:2410.05270,.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Fine-tuning clip’s last visual projector: A few-shot cornucopia.arXiv preprint arXiv:2410.05270,

Reference 2025

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:48:31.271138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.