Paper Citation Record · LEDGER

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2412.13823.

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

pith.paper-citation-record.v1
2412.13823 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:49:38.982168Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:35.050357Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:04:56.540271Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy48
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5cfa8bc-73f8-4ea1-baea-dacc9d4ef6a9 · outbound

This paper cites Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.622608Z

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Observation dc4e58fc-82ab-46a9-baec-e5c918ae7992 · outbound

This paper cites Lan- guage models are few-shot learners.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Lan- guage models are few-shot learners

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.610063Z

Source-reported events for the cited work

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Observation 8ee1593f-a11b-439a-9789-bd5a227300fe · outbound

This paper cites Gradient-coupled cross- patch attention map for weakly supervised semantic segmen- tation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Gradient-coupled cross- patch attention map for weakly supervised semantic segmen- tation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.598333Z

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Observation dbdd4402-6ef4-4e84-95c5-54118fbff3cd · outbound

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

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation End-to- end object detection with transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.587297Z

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Observation ef90506c-83dc-4fe7-b6a1-e468c1eeaf5d · outbound

This paper cites Weakly- supervised semantic segmentation via sub-category explo- ration.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Weakly- supervised semantic segmentation via sub-category explo- ration

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.575700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81948fca-8a3b-4d23-8cab-17ceeecc58a6 · outbound

This paper cites Snow removal in video: A new dataset and a novel method.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Snow removal in video: A new dataset and a novel method

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.564531Z

Source-reported events for the cited work

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Observation eb68d86c-aafb-455e-9898-d56533f97035 · outbound

This paper cites Fpr: False positive rectification for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Fpr: False positive rectification for weakly supervised semantic segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.553823Z

Source-reported events for the cited work

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Observation fe2574a6-f3e4-4594-98a9-e1a2466c0620 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.542505Z

Source-reported events for the cited work

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Observation 46e5c599-403f-4526-94b5-be8d86d9515d · outbound

This paper cites Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.531902Z

Source-reported events for the cited work

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Observation 53f02e18-c5c7-407d-8096-5fbb93794751 · outbound

This paper cites Region-based online selective examination for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Region-based online selective examination for weakly supervised semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.521162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 15fa13c8-9e95-4547-b6a3-3f7d8f92156a · outbound

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

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:49:38.833089Z

Source-reported events for the cited work

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Observation 68cbedc2-4867-4676-ac4d-31d1fc0a92a5 · outbound

This paper cites Weakly supervised semantic segmentation by pixel-to-prototype contrast.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Weakly supervised semantic segmentation by pixel-to-prototype contrast

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.510151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94c7240d-4ab7-4ba9-9f93-8a8e441bb53f · outbound

This paper cites The pascal visual object classes (VOC) challenge.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation The pascal visual object classes (VOC) challenge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.498256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e6b4e13-d9db-4be9-9cb5-d46e3cfd7b37 · outbound

This paper cites Wong, Keyan Jin, Lusheng Zhang, Qiang Zhang, Tianjiao Li, Jinlong Hou, and Lidia S.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Wong, Keyan Jin, Lusheng Zhang, Qiang Zhang, Tianjiao Li, Jinlong Hou, and Lidia S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.486749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4832765c-21fd-494b-b8b5-a2ba13d1d8ac · outbound

This paper cites Dual-hybrid attention network for specular highlight removal.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Dual-hybrid attention network for specular highlight removal

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.475360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bebac013-1540-45e3-a5ef-9d8bfc97a657 · outbound

This paper cites Semantic contours from inverse detectors.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Semantic contours from inverse detectors

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.463276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c17972b-f1ee-4459-82dc-35eabe098ba4 · outbound

This paper cites Edsf: Fast and accurate ellipse detection via disjoint-set forest.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Edsf: Fast and accurate ellipse detection via disjoint-set forest

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.451060Z

Source-reported events for the cited work

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Observation dd725e51-1d18-4711-a9a5-e5ab379d9e55 · outbound

This paper cites Integral object min- ing via online attention accumulation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Integral object min- ing via online attention accumulation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.438752Z

Source-reported events for the cited work

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Observation 0eff6cc1-9233-4a9c-9c61-6d2e78c201c6 · outbound

This paper cites Sscm: Self-supervised critical model for reducing hallucinations in chinese financial text gener- ation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Sscm: Self-supervised critical model for reducing hallucinations in chinese financial text gener- ation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.426265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 280545a3-423b-4eea-9f22-86d5291ce69b · outbound

This paper cites Semantic-aware superpixel for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Semantic-aware superpixel for weakly supervised semantic segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.413701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6eaf9b70-9243-4bd0-bb8c-18c4390f8fc9 · outbound

This paper cites Seed, ex- pand and constrain: Three principles for weakly-supervised image segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Seed, ex- pand and constrain: Three principles for weakly-supervised image segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.401805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 92cc68f7-db1d-4851-9881-d92ee15313b2 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Efficient inference in fully connected crfs with gaussian edge potentials

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.389879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c4173dd-5ce4-4b11-84fb-42c603ba60b5 · outbound

This paper cites From sam to cams: Ex- ploring segment anything model for weakly supervised se- mantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation From sam to cams: Ex- ploring segment anything model for weakly supervised se- mantic segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.379092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec1222e0-c6ec-4081-8484-ac878b84d99b · outbound

This paper cites Anti-adversarially manipulated attributions for weakly su- pervised semantic segmentation and object localization.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Anti-adversarially manipulated attributions for weakly su- pervised semantic segmentation and object localization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.366628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c622f6ac-60f7-4282-9f64-f6c7760a35ab · outbound

This paper cites Railroad is not a train: Saliency as pseudo-pixel su- pervision for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Railroad is not a train: Saliency as pseudo-pixel su- pervision for weakly supervised semantic segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.355869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f14bf46-84ee-4610-94f0-6b18519435ff · outbound

This paper cites High- fidelity document stain removal via a large-scale real-world dataset and a memory-augmented transformer.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation High- fidelity document stain removal via a large-scale real-world dataset and a memory-augmented transformer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.344911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0ba96bd-aa58-4710-afdb-3809f0fab802 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:49:38.893036Z

Source-reported events for the cited work

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Observation 961f91d8-c162-4fcd-84d5-332070028ce6 · outbound

This paper cites High-resolution document shadow removal via a large-scale real-world dataset and a frequency-aware shadow erasing net.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation High-resolution document shadow removal via a large-scale real-world dataset and a frequency-aware shadow erasing net

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.332899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a7af260-779d-402e-a887-941117b96fdd · outbound

This paper cites Gpt understands, too.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Gpt understands, too

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.321860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0be9f35-8232-4475-9251-c661feb6dd15 · outbound

This paper cites Self-refine: It- erative refinement with self-feedback.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Self-refine: It- erative refinement with self-feedback

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.310971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8b90db8-4dc1-49ef-8891-936a0aa0f021 · outbound

This paper cites Usage: A unified seed area genera- tion paradigm for weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Usage: A unified seed area genera- tion paradigm for weakly supervised semantic segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.299086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7731d164-64ff-413f-a7cb-008f06af3bd2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.287659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac9105f1-f7a3-4425-b244-7f57ccd53931 · outbound

This paper cites Max pooling with vision transform- ers reconciles class and shape in weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Max pooling with vision transform- ers reconciles class and shape in weakly supervised semantic segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.276258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f084dfb2-799c-4d3f-b936-800f4e18a609 · outbound

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

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Learn- ing affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.263934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1efced3b-36c1-4b15-8b9f-00d43c932d21 · outbound

This paper cites Token contrast for weakly-supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Token contrast for weakly-supervised semantic segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.252330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85365335-1244-4a41-b7fc-a2f43cd27c08 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T12:49:38.927396Z

Source-reported events for the cited work

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Observation 2946a289-461a-4400-bdb4-dcb3843060be · outbound

This paper cites Mining cross-image semantics for weakly supervised seman- tic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Mining cross-image semantics for weakly supervised seman- tic segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.239421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e68efba-337f-48ee-a903-b9040c1469f3 · outbound

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

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Object region mining with adversarial erasing: A simple classification to semantic segmentation approach

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.225680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f30e7876-e147-454d-baa6-06e4395cb4bf · outbound

This paper cites Image augmentation with controlled diffusion for weakly-supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Image augmentation with controlled diffusion for weakly-supervised semantic segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.213169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0340ee56-3f8c-4f00-ba64-05fc1f10483b · outbound

This paper cites Adap- tive patch contrast for weakly supervised semantic segmen- tation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Adap- tive patch contrast for weakly supervised semantic segmen- tation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.199967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a23fe5c8-98d4-4a4c-ad99-b50340f44058 · outbound

This paper cites Accurate explanation model for image classifiers using class association embedding.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Accurate explanation model for image classifiers using class association embedding

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.188420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3dd19e29-e2ce-4d6e-8a40-a75cc20ca30c · outbound

This paper cites A weakly supervised and globally explainable learn- ing framework for brain tumor segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation A weakly supervised and globally explainable learn- ing framework for brain tumor segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.175547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f168611a-7929-452b-8d4e-324153fba26c · outbound

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

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Multi-class token transformer for weakly supervised semantic segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.163862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd360bba-0222-46b6-8df5-5bb122961194 · outbound

This paper cites Self correspondence dis- tillation for end-to-end weakly-supervised semantic segmen- tation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Self correspondence dis- tillation for end-to-end weakly-supervised semantic segmen- tation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.152009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a77a9b7-0204-4add-b121-88e7b7a1e18c · outbound

This paper cites Multi-layered self- attention mechanism for weakly supervised semantic seg- mentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Multi-layered self- attention mechanism for weakly supervised semantic seg- mentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.140050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c71991d-0ea8-4d1b-b133-7ac0fb4228da · outbound

This paper cites Non- salient region object mining for weakly supervised seman- tic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Non- salient region object mining for weakly supervised seman- tic segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.128454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad09a742-7085-4eea-ae5d-8fac084e4afb · outbound

This paper cites Semi-supervised semantic segmentation with multi- reliability and multi-level feature augmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Semi-supervised semantic segmentation with multi- reliability and multi-level feature augmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.115930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1eead2ca-b878-4f3c-9659-6bdf9a0026ca · outbound

This paper cites Class-level multiple distribu- tions representation are necessary for semantic segmenta- tion.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Class-level multiple distribu- tions representation are necessary for semantic segmenta- tion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.103054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86beac9b-658c-4126-8ff3-97c5723719b2 · outbound

This paper cites Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.087702Z

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Observation 5284424c-1002-420d-9b1f-a8fc06a14437 · outbound

This paper cites Sfc: Shared feature calibration in weakly supervised semantic segmentation.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Sfc: Shared feature calibration in weakly supervised semantic segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.070907Z

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Observation 574a0b84-cbde-4c04-b543-91a65c67d34b · outbound

This paper cites Controllable generation from pre-trained language models via inverse prompting.

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Controllable generation from pre-trained language models via inverse prompting

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:49:39.057136Z

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Pith citing papers

Observation f73ee4b2-33ef-47b8-86ab-614e2c5e805c · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:35.050357Z

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Observation 88321db2-b6ef-4c29-baf4-6d23ebc6754e · inbound

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

Reference 13

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