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Paper Citation Record · LEDGER

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.06848.

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

pith.paper-citation-record.v1
2507.06848 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:58:39.974165Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:33:29.066072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:20:42.317670Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79688d3d-cb4f-472e-881f-d247cb5bdf60 · outbound

This paper cites Learning pixel-level seman- tic affinity with image-level supervision for weakly super- 8 vised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Learning pixel-level seman- tic affinity with image-level supervision for weakly super- 8 vised semantic segmentation

Reference 1

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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 46b68161-80f8-4a6e-9c4e-71555ecbff78 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Emerg- ing properties in self-supervised vision transformers

Reference 2

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

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Observation e2344a0e-1e0f-4c12-9428-ece971814fd2 · outbound

This paper cites Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

Reference 3

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Observation feb0b2e7-49c9-4867-a3c8-3146521e45da · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 4

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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=2026-08-06T18:58:37.421790Z digest=sha256:0a6d9a83cfb7fc52b785048273c08962d3502714fdd352ec9d49ece595ea64df

Observation a1a8cfed-c8b0-44d0-bf90-5fb603cb7571 · outbound

This paper cites Class re-activation maps for weakly-supervised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Class re-activation maps for weakly-supervised semantic segmentation

Reference 5

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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=2026-08-06T18:58:37.494083Z digest=sha256:9264af429eb9aaf4d13f4527b8343b7852d879f1fbd21aa194ab48593364f766

Observation e814d521-e306-4da5-b695-dded3deace3f · outbound

This paper cites Vision Transformers Need Registers.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Vision Transformers Need Registers

Reference 6

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Observation e1700a6d-169a-4faa-8ded-dd501e101ed5 · outbound

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

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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source=pdf_text observed=2026-08-06T18:58:37.639438Z digest=sha256:1988a7b6ba96f1d09c72d2040871422768182a129010c1ea553d64ee8d5d711e

Observation f1eaf8d2-e99a-433a-a090-d7f24a60991b · outbound

This paper cites an unresolved cited work.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Unresolved cited work

Reference 8

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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 6f9a4bad-323a-4b7e-af3c-7455b1515b84 · outbound

This paper cites Sparse multimodal vision transformer for weakly supervised seman- tic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Sparse multimodal vision transformer for weakly supervised seman- tic segmentation

Reference 9

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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 18290304-1c88-4170-9bb0-d74444dda34c · outbound

This paper cites Bourdev, Subhransu Maji, and Jitendra Malik.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Bourdev, Subhransu Maji, and Jitendra Malik

Reference 10

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

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Observation 561820d4-d159-4b5c-b0cb-8a612a697183 · outbound

This paper cites Halvorsen, Hugo Lewi Hammer, and M.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Halvorsen, Hugo Lewi Hammer, and M

Reference 11

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

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Observation c8369c9b-c69d-4cd4-95d1-34d2c8217316 · outbound

This paper cites Simple does it: Weakly supervised instance and semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Simple does it: Weakly supervised instance and semantic segmentation

Reference 12

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

source=pdf_text observed=2026-08-06T18:58:38.004746Z digest=sha256:560fbf9a09cd810a2162effdfdf6732726a68fc0d284b36783f6c88fd5487d46

Observation a23beff2-eacf-4aca-8e4b-8223932fe124 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross B.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross B

Reference 13

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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=2026-08-06T18:58:38.094424Z digest=sha256:1fa8ffd8f90fa1a9e56a9e714b6c3de3d80a788f17ecf3df47c0163199ae33d3

Observation 8149ba28-454b-4fc8-9e54-8c599067812f · outbound

This paper cites From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation

Reference 14

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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=2026-08-06T18:58:38.185624Z digest=sha256:334cddb0defbbe15854c7d774405b425c1db6ac04e3bd533d4e372716b8ce175

Observation 88544065-4229-411b-bfbc-dda16a2d963a · outbound

This paper cites Scribblesup: Scribble-supervised convolutional networks for semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Scribblesup: Scribble-supervised convolutional networks for semantic segmentation

Reference 15

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

source=pdf_text observed=2026-08-06T18:58:38.251891Z digest=sha256:bfada5ae888eedb08f49f27bf67df45281c08b1088c8ddcc7b301d91f7960eb2

Observation 9cc08fd6-6a41-48ae-98d4-ba7b9da0e1a2 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 16

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

source=pdf_text observed=2026-08-06T18:58:38.313446Z digest=sha256:3bc46c4fcd4087b8e1e9295e3f0e02468a9d04beacf316278a9e05ccf91ee038

Observation 3120c253-c428-40f1-b40e-7bdf06e92252 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Learning Sparse Neural Networks through $L_0$ Regularization

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:38.398287Z digest=sha256:740024a65997b6cea83d0d090d96f5273d08c0e3ee5d8e430804cde0788e3ff0

Observation 129242fb-2da4-419d-abf0-eafd92b75121 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 18

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source=pdf_text observed=2026-08-06T18:58:38.462393Z digest=sha256:5553a3cb865cb053f1394ed491a7e4f249d030a8a534d8b4c3131e4db8e8edf1

Observation 6a55651a-f2f7-4258-b36d-432a8d2d442a · outbound

This paper cites Global land- cover mapping with weak supervision: Outcome of the 2020 ieee grss data fusion contest.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Global land- cover mapping with weak supervision: Outcome of the 2020 ieee grss data fusion contest

Reference 19

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

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Observation a4880110-b167-4f90-bce7-050bcedf3cd0 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:38.574547Z digest=sha256:70515d39a50bbbf58bd2796e953b23fba0c6aa6d9f0cdcd151d39372a2f3db33

Observation a03f51a6-0d68-4c8b-9056-917d72b988ae · outbound

This paper cites an unresolved cited work.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Unresolved cited work

Reference 21

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

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Observation da88ffb6-8821-4e78-b684-8f9431eb81ff · outbound

This paper cites Learn- ing affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Learn- ing affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers

Reference 22

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

source=pdf_text observed=2026-08-06T18:58:38.704555Z digest=sha256:18c62b5be065e9225b567117b251c351f9fb845f0b9db6b4abb9af8a21ffbc70

Observation 808c2359-61c8-46ea-a9bd-0e608cc6c28b · outbound

This paper cites To- ken contrast for weakly-supervised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation To- ken contrast for weakly-supervised semantic segmentation

Reference 23

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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=2026-08-06T18:58:38.784865Z digest=sha256:7d70626c95e046bb1c45e82591d146b30fe84aa50ca3ed91085757fdb151e567

Observation e2a4a66e-8728-48a3-8479-1e33a65dc598 · outbound

This paper cites 2020 ieee grss data fusion con- test, 2019.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation 2020 ieee grss data fusion con- test, 2019

Reference 24

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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=2026-08-06T18:58:38.857142Z digest=sha256:813f45c26bdfc6c4f33281d2ae8558371fd0f59144d3b46c82a64f5be8971510

Observation 90af6e40-618d-42cd-8fcd-b3f4fd70571f · outbound

This paper cites Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation

Reference 25

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raw_fallback, observed 2026-08-06T18:58:41.971673Z

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=2026-08-06T18:58:38.928639Z digest=sha256:6161d71c2c22237b175d69cc2d08f0beb14b52ab21687269cd9a3ee57e9c4f16

Observation 00a863c1-d658-451f-becd-35ce697290eb · outbound

This paper cites Johansen, Dag Johansen, M.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Johansen, Dag Johansen, M

Reference 26

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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=2026-08-06T18:58:38.983757Z digest=sha256:b7707d3444d458b83619429ffa9d95e61e5a0a2aefaed72f4949d95d2d6b0a50

Observation 156c218b-0923-48c9-b39c-0bdee2b2e3fd · outbound

This paper cites Scribble- supervised lidar semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Scribble- supervised lidar semantic segmentation

Reference 27

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raw_fallback, observed 2026-08-06T18:58:41.675656Z

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=2026-08-06T18:58:39.090926Z digest=sha256:865677044f77627be632d873a5152f7212111b83ae7a76f933dafc6a6d3ad03b

Observation c442e20d-b150-458c-a27a-ca79eab422ff · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 28

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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=2026-08-06T18:58:39.163913Z digest=sha256:60a20d4284599a41e943824a949c7d0234f6d34e4c55759409febcaf560bbd22

Observation 16bdf14b-2ec7-40b7-a667-78d539c8c783 · outbound

This paper cites Moiseev, Rico Sennrich, and Ivan Titov.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Moiseev, Rico Sennrich, and Ivan Titov

Reference 29

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raw_fallback, observed 2026-08-06T18:58:41.407257Z

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=2026-08-06T18:58:39.261601Z digest=sha256:0eba44ccbd3dc977bc0fb6544422d8e60fd7166d28e78ac5e08f8df5fe1efa80

Observation 7dda6eaa-2ef0-49e7-9a81-3baf2593c892 · outbound

This paper cites Shan, and Xilin Chen.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Shan, and Xilin Chen

Reference 30

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raw_fallback, observed 2026-08-06T18:58:41.240779Z

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=2026-08-06T18:58:39.358233Z digest=sha256:eaa3cf692160f5768ac8e193169f83d23c182e2094042e193aae3e4693d6608d

Observation 041818c2-e756-436d-8875-e9c2f225a2b3 · outbound

This paper cites Object region mining with adversarial erasing: A simple classification to seman- tic segmentation approach.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Object region mining with adversarial erasing: A simple classification to seman- tic segmentation approach

Reference 31

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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=2026-08-06T18:58:39.471649Z digest=sha256:c891dcb206c5987c21598e66b0136a14920a4c57b21209a1e05831b1e567dbe3

Observation 227a8f14-0930-42f1-9420-5c66b4ca1ea5 · outbound

This paper cites Dupl: Dual student with trustworthy progressive learning for robust weakly supervised semantic segmenta- tion.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Dupl: Dual student with trustworthy progressive learning for robust weakly supervised semantic segmenta- tion

Reference 32

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raw_fallback, observed 2026-08-06T18:58:40.956702Z

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=2026-08-06T18:58:39.552359Z digest=sha256:a82b720cefd3c9699f6fd99b295cab71d2a2b2b3e9cdb55c3263c31f61d6242f

Observation b6087e7c-a47c-4570-8245-e7145a4451cc · outbound

This paper cites Multi-class token transformer for weakly super- vised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Multi-class token transformer for weakly super- vised semantic segmentation

Reference 33

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raw_fallback, observed 2026-08-06T18:58:40.800635Z

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 a841e8ad-45fa-4a24-bec0-2bafe8f1c578 · outbound

This paper cites Class tokens infusion for weakly super- vised semantic segmentation.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Class tokens infusion for weakly super- vised semantic segmentation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:40.638729Z

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=2026-08-06T18:58:39.743775Z digest=sha256:066115fb1968ee009a7b9a0ccbb54157e311928821fbf21445864c79c34ec35e

Observation 40891b88-a824-4604-a540-9ca746739fc0 · outbound

This paper cites Learning deep features for discrim- inative localization.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Learning deep features for discrim- inative localization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:40.488576Z

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 44481acc-3ab1-491c-a778-fe2c6c8b8f23 · outbound

This paper cites Scene parsing through ade20k dataset.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation Scene parsing through ade20k dataset

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:40.369663Z

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

Observation 8eb56e66-8a86-43ee-b229-09b5ba88bdc3 · inbound

DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation cites this paper.

DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:20:42.319430Z

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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