Paper Citation Record · LEDGER

TeD-Loc: Text Distillation for Weakly Supervised Object Localization

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2501.12632.

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

pith.paper-citation-record.v1
2501.12632 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:11:17.213575Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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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

43 of 43 outbound references displayed

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verified fuzzy40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4842004-17e7-442e-bf8c-4ad289e46851 · outbound

This paper cites CLIP is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization CLIP is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.819222Z

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Observation 43087a5d-2f45-479f-8eb8-97c89f52275a · outbound

This paper cites Learning deep features for discrimina- tive localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Learning deep features for discrimina- tive localization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.813325Z

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Observation 483df58a-4a9d-4f80-89c2-86ee97f128c6 · outbound

This paper cites F-CAM: Full resolution class activation maps via guided parametric upscaling.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization F-CAM: Full resolution class activation maps via guided parametric upscaling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.804311Z

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Observation 0d89cdcc-73bb-49af-868f-96ba0688901a · outbound

This paper cites Geometry constrained weakly supervised object local- ization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Geometry constrained weakly supervised object local- ization

Reference 4

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Observation b7e3634c-8268-43e6-9a23-8d9e45526a65 · outbound

This paper cites Background activation suppression for weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Background activation suppression for weakly supervised object localization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.847861Z

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Observation 3e088c89-7a09-4601-ae6d-daf1dc075445 · outbound

This paper cites Danet: Divergent activation for weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Danet: Divergent activation for weakly supervised object localization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.834839Z

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Observation bf45c3f8-c864-4bfe-9b5f-95bffe72a4dc · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.807408Z

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Observation 210b933c-e007-442b-b408-1a55cc290ed8 · outbound

This paper cites Self-produced guidance for weakly-supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Self-produced guidance for weakly-supervised object localization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.810552Z

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Observation 6b901407-add8-4d0c-be00-c451b62fda0d · outbound

This paper cites Adversarial complementary learning for weakly su- pervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Adversarial complementary learning for weakly su- pervised object localization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.816309Z

Source-reported events for the cited work

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Observation 5d946d80-5028-4db6-a034-5a8bae566b86 · outbound

This paper cites Attention-based dropout layer for weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Attention-based dropout layer for weakly supervised object localization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.838267Z

Source-reported events for the cited work

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Observation 79d632aa-9772-4659-97f4-57770b8b75c8 · outbound

This paper cites Attention-based dropout layer for weakly supervised single object lo- calization and semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Attention-based dropout layer for weakly supervised single object lo- calization and semantic segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.844747Z

Source-reported events for the cited work

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Observation 862d05a4-9a50-4f89-ba7b-360ff6c8b5be · outbound

This paper cites Discriminative sampling of proposals in self-supervised transformers for weakly supervised ob- ject localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Discriminative sampling of proposals in self-supervised transformers for weakly supervised ob- ject localization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.828647Z

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Observation 805ea672-a0bc-4e8d-9a3b-14389ca219c8 · outbound

This paper cites TS-CAM: Token semantic cou- pled attention map for weakly supervised object local- ization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization TS-CAM: Token semantic cou- pled attention map for weakly supervised object local- ization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.831801Z

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Observation f275dd7a-3263-4a67-8455-525a9234b5f1 · outbound

This paper cites Learn to rectify the bias of clip for unsupervised semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Learn to rectify the bias of clip for unsupervised semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.822309Z

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Observation a0dcda63-c73a-4e5c-b62f-c7e2f4fef98e · outbound

This paper cites Gen- erative prompt model for weakly supervised object lo- calization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Gen- erative prompt model for weakly supervised object lo- calization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.841578Z

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Observation 5e229b0f-f766-46b8-abd3-cd3760507c72 · outbound

This paper cites Algorithms for the qr-decomposition.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Algorithms for the qr-decomposition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.851018Z

Source-reported events for the cited work

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Observation 5f0bc356-d7af-4f49-b9fc-0ea4e02c7ef7 · outbound

This paper cites Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.877168Z

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Observation a43b2c4b-7c85-4654-b5b7-11a89a983d7c · outbound

This paper cites Unveiling the potential of struc- ture preserving for weakly supervised object localiza- tion.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Unveiling the potential of struc- ture preserving for weakly supervised object localiza- tion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.865964Z

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Observation 553aca50-944c-47b4-8298-e782fbff9896 · outbound

This paper cites Rethinking the route towards weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Rethinking the route towards weakly supervised object localization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.919461Z

Source-reported events for the cited work

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Observation c3d05f09-e4c3-4425-813d-fcff56b9cb91 · outbound

This paper cites An Image is Worth 16x16 Words, What is a Video Worth?.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization An Image is Worth 16x16 Words, What is a Video Worth?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:12:34.876761Z

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Observation 5b050d32-111e-44c2-ab24-823c6b08b8e1 · outbound

This paper cites End-to-end object detection with transformers.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization End-to-end object detection with transformers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.859988Z

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Observation 644f5f3a-cc11-491b-9682-0fbf7417e971 · outbound

This paper cites Learning transferable visual models from natural language su- pervision.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Learning transferable visual models from natural language su- pervision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.856970Z

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Observation 346bbd31-46e5-4182-9cb9-693e9368206a · outbound

This paper cites CLIMS: Cross lan- guage image matching for weakly supervised semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization CLIMS: Cross lan- guage image matching for weakly supervised semantic segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.868541Z

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Observation fa374632-36a5-41e3-ac66-f08ac7cf0f30 · outbound

This paper cites SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:12:34.882674Z

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Observation a1f20088-7551-4daa-966b-790db47a167e · outbound

This paper cites Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:12:34.888399Z

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Observation 4cffdd5e-c14c-4de3-a708-6a4399f2165f · outbound

This paper cites Foundation model assisted weakly supervised semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Foundation model assisted weakly supervised semantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.862846Z

Source-reported events for the cited work

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Observation f7cadd9a-ec07-4f9d-b607-3b5f45361da5 · outbound

This paper cites Segment anything.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Segment anything

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.874169Z

Source-reported events for the cited work

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Observation 440c9d99-2e9f-4d96-8237-ecd8a9c1393f · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Eva: Exploring the limits of masked visual representation learning at scale

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.854130Z

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Observation 88f9bc2a-7803-49e2-8791-ccb40d191cc9 · outbound

This paper cites Evaluating weakly supervised object local- ization methods right.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Evaluating weakly supervised object local- ization methods right

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.871497Z

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Observation f38533ef-46ff-40fa-80ba-3dc9b93c5333 · outbound

This paper cites A realistic protocol for evaluation of weakly super- vised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization A realistic protocol for evaluation of weakly super- vised object localization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.922372Z

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Observation b2a54363-0c70-40d1-94e4-69303965c86a · outbound

This paper cites Deep weakly-supervised learn- ing methods for classification and localization in histol- ogy images: A survey.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Deep weakly-supervised learn- ing methods for classification and localization in histol- ogy images: A survey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.916071Z

Source-reported events for the cited work

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Observation 64d2881b-4884-4770-921a-4f97dfe62a27 · outbound

This paper cites Dips: Discriminative pseudo-label sam- pling with self-supervised transformers for weakly su- pervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Dips: Discriminative pseudo-label sam- pling with self-supervised transformers for weakly su- pervised object localization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.910152Z

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Observation 2a851ffd-d7e9-4f7d-a791-78ac525f0b5e · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Imagenet: A large-scale hierarchical im- age database

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.903666Z

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Observation ce5f5c09-61f9-40b6-800f-0a6cbb7b640b · outbound

This paper cites Pay attention to your neighbours: Training-free open-vocabulary se- mantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Pay attention to your neighbours: Training-free open-vocabulary se- mantic segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.906902Z

Source-reported events for the cited work

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Observation 12713496-f8cf-4cf1-87a9-7b7a51904301 · outbound

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

TeD-Loc: Text Distillation for Weakly Supervised Object Localization The caltech-ucsd birds-200-2011 dataset

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.913048Z

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Observation b8588824-922b-4f73-ada5-fce2e3d9cb27 · outbound

This paper cites Do imagenet classifiers generalize to imagenet?.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Do imagenet classifiers generalize to imagenet?

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.925182Z

Source-reported events for the cited work

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Observation 9e275c0d-c28d-43fc-bb08-eb49fd8bdb1b · outbound

This paper cites Weakly su- pervised localization and learning with generic knowl- edge.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Weakly su- pervised localization and learning with generic knowl- edge

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.896521Z

Source-reported events for the cited work

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Observation 6e687bd5-db05-418f-8da9-61092adb26d7 · outbound

This paper cites Weakly su- pervised object localization via transformer with im- plicit spatial calibration.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Weakly su- pervised object localization via transformer with im- plicit spatial calibration

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.900069Z

Source-reported events for the cited work

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Observation 996c107b-8335-4779-9d0f-3e78af508f5a · outbound

This paper cites LCTR: on awak- ening the local continuity of transformer for weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization LCTR: on awak- ening the local continuity of transformer for weakly supervised object localization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.886303Z

Source-reported events for the cited work

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Observation afbb1763-a2a3-4114-bb8f-aaed002879a8 · outbound

This paper cites C2am: Contrastive learning of class-agnostic activation map for weakly supervised object localiza- tion and semantic segmentation.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization C2am: Contrastive learning of class-agnostic activation map for weakly supervised object localiza- tion and semantic segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.889735Z

Source-reported events for the cited work

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Observation 59aa8aa7-022f-4fab-84ac-3ccdb16cbf31 · outbound

This paper cites Category-aware allocation transformer for weakly supervised object localization.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Category-aware allocation transformer for weakly supervised object localization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.893023Z

Source-reported events for the cited work

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Observation 4b7a3342-496d-4366-9ca7-048b4043b983 · outbound

This paper cites Boost- ing weakly supervised object localization and segmen- tation with domain adaption.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization Boost- ing weakly supervised object localization and segmen- tation with domain adaption

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.882857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a5d4a2f-c218-479c-80fa-32c6ef9640fa · outbound

This paper cites A threshold selection method from gray-level histograms.

TeD-Loc: Text Distillation for Weakly Supervised Object Localization A threshold selection method from gray-level histograms

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:12:35.879935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.