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Paper Citation Record · LEDGER

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.13437.

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

pith.paper-citation-record.v1
2607.13437 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:13:02.973532Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

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Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation ef7c2153-53ad-47d6-93c2-35855b4a37c3 · outbound

This paper cites O’ Connor, and Suzanne Little.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification O’ Connor, and Suzanne Little

Reference 1

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Observation ce7b5ddc-fc86-45a5-873d-3e3b337e52cd · outbound

This paper cites Towards fine-grained adaptation of clip via a self-trained alignment score.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Towards fine-grained adaptation of clip via a self-trained alignment score

Reference 2

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Observation e70b6591-2cb9-4c76-ad6a-22c7a7917bef · outbound

This paper cites Scrap-sam- clip: Assembling foundation models for typical shape recognition in scrap classification and rating.Sensors (Basel, Switzerland), 26, 2026.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Scrap-sam- clip: Assembling foundation models for typical shape recognition in scrap classification and rating.Sensors (Basel, Switzerland), 26, 2026

Reference 3

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Observation 23f2ca29-dfcf-49a0-87b3-4bd2f370f85c · outbound

This paper cites Fine-grained Visual Classification with High-temperature Refinement and Background Suppression.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Fine-grained Visual Classification with High-temperature Refinement and Background Suppression

Reference 4

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Observation c4eedd96-c46a-47ea-8a18-f754e4f00bc1 · outbound

This paper cites Fine-grained image classification via combining vision and language.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Fine-grained image classification via combining vision and language

Reference 5

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Observation 43cb01f4-d14a-497f-bf51-4cde6e6dbb23 · outbound

This paper cites Segment anything.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Segment anything

Reference 6

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Observation f4122e4b-fe6c-4420-b1fa-4cee70e60390 · outbound

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

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification 3d object representations for fine- grained categorization

Reference 7

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Observation 38ab9572-d1d5-46cd-a643-a5d1d42a1dc8 · outbound

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CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Unresolved cited work

Reference 8

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Observation b60047ca-8d5b-49db-a2e4-515cb62300c6 · outbound

This paper cites Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

Reference 9

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Observation 5f575efb-f2a9-4e4a-9863-a09929323b0d · outbound

This paper cites ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 10

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Observation 89954e14-9cd2-4731-be45-f2b03f93f361 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Fully Convolutional Networks for Semantic Segmentation

Reference 11

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Observation 61cb66fa-8764-4eb6-b7b1-566bc7f28338 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Fine-Grained Visual Classification of Aircraft

Reference 12

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Observation 6f945253-864f-4f8c-ae29-2046c474df3d · outbound

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

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Automated flower classification over a large number of classes

Reference 13

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This paper cites Valse: A task-independent benchmark for vision and language models centered on linguistic phenomena.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Valse: A task-independent benchmark for vision and language models centered on linguistic phenomena

Reference 14

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Observation b9ebe72b-c7ed-498d-9ea3-27c81aeeb461 · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 15

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Observation fd1e0bce-e10b-4b47-9f3a-53cb2c33ef30 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Learning Transferable Visual Models From Natural Language Supervision

Reference 16

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Observation 3a4f168c-8307-4e4f-9778-0652bf640956 · outbound

This paper cites Caltech-ucsd birds 200.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Caltech-ucsd birds 200

Reference 17

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Observation 5cbeeb00-2362-45a6-9fe4-0b2a6d04aa00 · outbound

This paper cites Hierarchical part matching for fine-grained visual categorization.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Hierarchical part matching for fine-grained visual categorization

Reference 18

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Observation 7ee839cd-1f17-49e7-9f98-fc6b58197b49 · outbound

This paper cites Learning to navigate for fine-grained classification.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Learning to navigate for fine-grained classification

Reference 19

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Observation 9105c657-07af-48d0-9cae-0870952e771e · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 20

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Observation a29ee752-e531-4adc-a14a-27cf6679a62a · outbound

This paper cites Part-based r-cnns for fine-grained category detection.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Part-based r-cnns for fine-grained category detection

Reference 21

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Observation 805498b3-e7fc-4174-b429-9be286771172 · outbound

This paper cites Picking deep filter responses for fine-grained image recognition.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Picking deep filter responses for fine-grained image recognition

Reference 22

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This paper cites Diversified visual attention networks for fine-grained object classification.IEEE Transactions on Multimedia, 19(6): 1245–1256, 2017.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Diversified visual attention networks for fine-grained object classification.IEEE Transactions on Multimedia, 19(6): 1245–1256, 2017

Reference 23

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Observation c7f0c514-50e1-4c81-a68e-98ee35140db6 · outbound

This paper cites Learning multi-attention convolutional neural network for fine-grained image recognition.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Learning multi-attention convolutional neural network for fine-grained image recognition

Reference 24

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Observation 33f23806-e6ea-4ab8-8bc5-5695f7d09806 · outbound

This paper cites Pg-sam: A fine-grained prior-guided sam framework for prompt-free medical image segmentation.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification Pg-sam: A fine-grained prior-guided sam framework for prompt-free medical image segmentation

Reference 25

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Pith citing papers

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