Paper Citation Record · LEDGER

Multi-aspect Knowledge Distillation with Large Language Model

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2501.13341.

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

pith.paper-citation-record.v1
2501.13341 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:19:29.070092Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:07:27.600563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:25:57.505603Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy24
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87192714-0c32-49c2-b591-ad57c5f36454 · outbound

This paper cites GPT-4 Technical Report.

Multi-aspect Knowledge Distillation with Large Language Model GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T16:19:28.905738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a94c60-5d80-4d35-afef-6e9035f9f320 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Multi-aspect Knowledge Distillation with Large Language Model Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T16:19:28.910453Z

Source-reported events for the cited work

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Observation b4cd63d5-89b2-4ca3-81d8-c1d3e467b73c · outbound

This paper cites Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language.

Multi-aspect Knowledge Distillation with Large Language Model Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T16:19:28.914427Z

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Observation bdf7d593-e399-45a9-a1c9-6aa776019d63 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Multi-aspect Knowledge Distillation with Large Language Model Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.604668Z

Source-reported events for the cited work

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Observation 8f4a13e1-d3ff-4d04-867b-0f2303c63869 · outbound

This paper cites Describing textures in the wild.

Multi-aspect Knowledge Distillation with Large Language Model Describing textures in the wild

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.590953Z

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Observation 90193cc7-2f14-4385-ba25-0219b275249d · outbound

This paper cites Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories.

Multi-aspect Knowledge Distillation with Large Language Model Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.578373Z

Source-reported events for the cited work

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Observation d45094b3-47f0-42f0-b65e-5b4c3cb6b06d · outbound

This paper cites From im- ages to textual prompts: Zero-shot visual question answer- ing with frozen large language models.

Multi-aspect Knowledge Distillation with Large Language Model From im- ages to textual prompts: Zero-shot visual question answer- ing with frozen large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.564390Z

Source-reported events for the cited work

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Observation db16b673-b6df-4639-933f-a3240ac90355 · outbound

This paper cites Class attention transfer based knowledge distillation.

Multi-aspect Knowledge Distillation with Large Language Model Class attention transfer based knowledge distillation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.549160Z

Source-reported events for the cited work

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Observation 9ef32812-2014-4c1f-9f24-1eb6a295b55f · outbound

This paper cites Deep residual learning for image recognition.

Multi-aspect Knowledge Distillation with Large Language Model Deep residual learning for image recognition

Reference 9

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Observation b97a64d7-33b3-4e3a-a0af-0e77e40fe2a7 · outbound

This paper cites 3d object representations for fine-grained categorization.

Multi-aspect Knowledge Distillation with Large Language Model 3d object representations for fine-grained categorization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.523140Z

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Observation 5460466e-e62f-4831-8646-3abde2e8dd95 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Multi-aspect Knowledge Distillation with Large Language Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 11

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Source-reported events for the cited work

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Observation 4403aaf1-55cf-4307-8c29-0b362132b9a1 · outbound

This paper cites Feature pyra- mid networks for object detection.

Multi-aspect Knowledge Distillation with Large Language Model Feature pyra- mid networks for object detection

Reference 12

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Source-reported events for the cited work

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Observation 20f2c352-564c-4514-9b09-cbb207d03cd1 · outbound

This paper cites Improved baselines with visual instruction tuning.

Multi-aspect Knowledge Distillation with Large Language Model Improved baselines with visual instruction tuning

Reference 13

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Source-reported events for the cited work

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Observation 377ad3b4-9532-48fd-9732-1b7d67742ba7 · outbound

This paper cites Visual instruction tuning.

Multi-aspect Knowledge Distillation with Large Language Model Visual instruction tuning

Reference 14

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Observation 34b1547d-67f7-4160-a2e3-0a67db4e2744 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Multi-aspect Knowledge Distillation with Large Language Model Swin transformer: Hierarchical vision transformer using shifted windows

Reference 15

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Source-reported events for the cited work

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Observation 50344ca4-da0d-40fc-8941-aff0c7d2200d · outbound

This paper cites Annealing- based label-transfer learning for open world object detection.

Multi-aspect Knowledge Distillation with Large Language Model Annealing- based label-transfer learning for open world object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.456617Z

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Observation 63523cf7-ef10-4ab3-bea6-bfa327d99607 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Multi-aspect Knowledge Distillation with Large Language Model Fine-Grained Visual Classification of Aircraft

Reference 17

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Source-reported events for the cited work

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Observation 6c6d9aa8-c2d9-47fa-b682-8f83f4d782bb · outbound

This paper cites Visual Classification via Description from Large Language Models.

Multi-aspect Knowledge Distillation with Large Language Model Visual Classification via Description from Large Language Models

Reference 18

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Source-reported events for the cited work

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Observation 78c58dc4-fb9d-4647-bc35-d1e1a7c474c8 · outbound

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

Multi-aspect Knowledge Distillation with Large Language Model Automated flower classification over a large number of classes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.444800Z

Source-reported events for the cited work

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Observation bf37bc1a-acb4-4f0b-b50c-0162577748c6 · outbound

This paper cites Chils: Zero-shot image classification with hierarchical label sets.

Multi-aspect Knowledge Distillation with Large Language Model Chils: Zero-shot image classification with hierarchical label sets

Reference 20

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Source-reported events for the cited work

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Observation e4614a99-4e96-4517-8e13-25d437dc070e · outbound

This paper cites Dinov2: Learning robust visual features with- out supervision, 2024.

Multi-aspect Knowledge Distillation with Large Language Model Dinov2: Learning robust visual features with- out supervision, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.418047Z

Source-reported events for the cited work

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Observation 7959c138-c6b6-4821-866c-2b88918ad4fa · outbound

This paper cites Cats and dogs.

Multi-aspect Knowledge Distillation with Large Language Model Cats and dogs

Reference 22

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Source-reported events for the cited work

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Observation a2b34a0d-42ff-4947-966c-bf54e5a8445f · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification.

Multi-aspect Knowledge Distillation with Large Language Model What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 23

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Source-reported events for the cited work

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Observation 5153617c-8f02-41d6-9059-eab7e64b3297 · outbound

This paper cites Optimization as a model for few-shot learning.

Multi-aspect Knowledge Distillation with Large Language Model Optimization as a model for few-shot learning

Reference 24

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Source-reported events for the cited work

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Observation f8d8ff93-1720-4098-ba99-181776a97735 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Multi-aspect Knowledge Distillation with Large Language Model Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 25

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Observation c503dbb7-ee66-4203-8f69-81be1e142b43 · outbound

This paper cites Human Attention in Fine-grained Classification.

Multi-aspect Knowledge Distillation with Large Language Model Human Attention in Fine-grained Classification

Reference 26

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Source-reported events for the cited work

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Observation a7117520-d90b-44ba-816a-bcf97ba05efd · outbound

This paper cites In-context impersonation reveals large language models’ strengths and biases.

Multi-aspect Knowledge Distillation with Large Language Model In-context impersonation reveals large language models’ strengths and biases

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.366112Z

Source-reported events for the cited work

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Observation 31f42e38-9f16-4581-b91f-7b5d5762bffd · outbound

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

Multi-aspect Knowledge Distillation with Large Language Model Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 28

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Observation 6928faf9-5b6e-461a-9c0b-00ef4dbb3974 · outbound

This paper cites an unresolved cited work.

Multi-aspect Knowledge Distillation with Large Language Model Unresolved cited work

Reference 29

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Observation c3124c18-82cd-4b81-8871-a07ffbf7ac39 · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization.

Multi-aspect Knowledge Distillation with Large Language Model Fastvit: A fast hybrid vision transformer using structural reparameterization

Reference 30

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Source-reported events for the cited work

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Observation eb734600-36a7-4062-90b6-31ff4a4b9d10 · outbound

This paper cites Attention is all you need.

Multi-aspect Knowledge Distillation with Large Language Model Attention is all you need

Reference 31

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Observation 22dd06de-e136-421d-b496-a2a53cf7856c · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Multi-aspect Knowledge Distillation with Large Language Model The caltech-ucsd birds-200-2011 dataset

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.313427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57186486-171e-4f14-a877-244491928662 · outbound

This paper cites Bi-lrfusion: Bi-directional lidar-radar fusion for 3d dynamic object detection.

Multi-aspect Knowledge Distillation with Large Language Model Bi-lrfusion: Bi-directional lidar-radar fusion for 3d dynamic object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.301104Z

Source-reported events for the cited work

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Observation 8631da16-cc6f-4f78-b72b-077e1824f250 · outbound

This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

Multi-aspect Knowledge Distillation with Large Language Model SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 34

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Observation da451358-4637-4d83-a448-b63dbded10db · outbound

This paper cites Fine-grained image analysis with deep learning: A survey.

Multi-aspect Knowledge Distillation with Large Language Model Fine-grained image analysis with deep learning: A survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.287347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e28e0839-e736-4add-b77c-60dc70bebbb6 · outbound

This paper cites Aligning bag of regions for open- vocabulary object detection.

Multi-aspect Knowledge Distillation with Large Language Model Aligning bag of regions for open- vocabulary object detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.274985Z

Source-reported events for the cited work

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Observation a89f0db4-f30e-4cf1-89f5-24fed1d92ff2 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

Multi-aspect Knowledge Distillation with Large Language Model Learning concise and descriptive attributes for visual recognition

Reference 37

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Source-reported events for the cited work

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Observation d5d9f91a-5ba8-444c-a1df-1e969abad942 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

Multi-aspect Knowledge Distillation with Large Language Model Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.251103Z

Source-reported events for the cited work

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Observation fe40967f-f5f6-41d5-a55e-ffd2a190c72a · outbound

This paper cites An empirical study of gpt-3 for few-shot knowledge-based vqa.

Multi-aspect Knowledge Distillation with Large Language Model An empirical study of gpt-3 for few-shot knowledge-based vqa

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.238072Z

Source-reported events for the cited work

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Observation df4f2b3d-11ad-4faa-837a-f3624eaf9934 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Multi-aspect Knowledge Distillation with Large Language Model A Survey on Multimodal Large Language Models

Reference 40

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Source-reported events for the cited work

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Observation 5c24d812-e8ed-4e52-9351-5fdb11cff0fa · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Multi-aspect Knowledge Distillation with Large Language Model MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T16:19:29.059340Z

Source-reported events for the cited work

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Observation 4284d516-f62b-4318-b664-717dd7437b79 · outbound

This paper cites Vinvl: Revisiting visual representations in vision-language models.

Multi-aspect Knowledge Distillation with Large Language Model Vinvl: Revisiting visual representations in vision-language models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:19:29.062776Z

Source-reported events for the cited work

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Observation 9b2c88ef-3885-4963-9a3f-1eadccb5281b · outbound

This paper cites Decoupled knowledge distillation.

Multi-aspect Knowledge Distillation with Large Language Model Decoupled knowledge distillation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.216540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fd768fd-1861-4abe-856f-cdbdb0bd9fc8 · outbound

This paper cites Biformer: Vision transformer with bi-level routing attention.

Multi-aspect Knowledge Distillation with Large Language Model Biformer: Vision transformer with bi-level routing attention

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:19:29.203688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 169e2075-9a3e-44a0-b930-a594ad1de2eb · inbound

Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge cites this paper.

Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge Multi-aspect Knowledge Distillation with Large Language Model

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:57.507270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.