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Paper Citation Record · LEDGER

JVLGS: Joint Vision-Language Gas Leak Segmentation

As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2508.19485.

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

pith.paper-citation-record.v1
2508.19485 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:55:57.045518Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

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

60 of 60 outbound references displayed

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  • verified fuzzy48
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b8d857d-a5f4-48c2-bef5-3ce7212d82df · outbound

This paper cites Recent advances in pipeline monitoring and oil leak- age detection technologies: Principles and approaches.

JVLGS: Joint Vision-Language Gas Leak Segmentation Recent advances in pipeline monitoring and oil leak- age detection technologies: Principles and approaches

Reference 1

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Observation 687998ea-2400-46a0-8ae9-ba359ff9b1f4 · outbound

This paper cites Leak detec- tion and repair compliance assistance guidance best practices guide - ldarguide.pdf, 2014.

JVLGS: Joint Vision-Language Gas Leak Segmentation Leak detec- tion and repair compliance assistance guidance best practices guide - ldarguide.pdf, 2014

Reference 2

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Observation a991b93d-9f64-4516-bee8-b3f788dfa8fc · outbound

This paper cites Enis C ¸ etin.

JVLGS: Joint Vision-Language Gas Leak Segmentation Enis C ¸ etin

Reference 3

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Observation 534dc9c7-07fa-4005-a668-aca4527c5eb9 · outbound

This paper cites Xmem++: Production-level video segmentation from few annotated frames.

JVLGS: Joint Vision-Language Gas Leak Segmentation Xmem++: Production-level video segmentation from few annotated frames

Reference 4

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Observation 44ea7c7c-7e2b-41fc-b909-bbf1236c18c2 · outbound

This paper cites Stcnet: spa- tiotemporal cross network for industrial smoke detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Stcnet: spa- tiotemporal cross network for industrial smoke detection

Reference 5

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Observation e37d0bba-f23b-4152-a688-d174910506d8 · outbound

This paper cites Putting the object back into video object segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Putting the object back into video object segmentation

Reference 6

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Observation c192eb27-415f-4591-b531-55f9cb66952d · outbound

This paper cites Im- plicit motion handling for video camouflaged object detec- tion.

JVLGS: Joint Vision-Language Gas Leak Segmentation Im- plicit motion handling for video camouflaged object detec- tion

Reference 7

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Source-reported events for the cited work

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Observation 1c809be7-117a-4249-ae9d-7889238408ae · outbound

This paper cites Maskclip: Masked self-distillation advances contrastive language-image pretraining, 2023.

JVLGS: Joint Vision-Language Gas Leak Segmentation Maskclip: Masked self-distillation advances contrastive language-image pretraining, 2023

Reference 8

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Source-reported events for the cited work

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Observation 4a40fd32-3a41-473f-aaf7-e9702d3a42bd · outbound

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

JVLGS: Joint Vision-Language Gas Leak Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation 0dcc312b-e3fd-4b89-8bc5-bea45cac56e1 · outbound

This paper cites Concealed object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Concealed object detection

Reference 10

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Source-reported events for the cited work

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Observation 5bb19aa8-bb30-4fca-a668-1335e934e4c7 · outbound

This paper cites Advised: Advanced video smoke detection for real-time measurements in antifire indoor and outdoor systems.

JVLGS: Joint Vision-Language Gas Leak Segmentation Advised: Advanced video smoke detection for real-time measurements in antifire indoor and outdoor systems

Reference 11

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Source-reported events for the cited work

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Observation d1e0772c-6a57-45a6-9675-c6ac67f8e037 · outbound

This paper cites Texture segmentation by multiscale aggregation of filter responses and shape ele- ments.

JVLGS: Joint Vision-Language Gas Leak Segmentation Texture segmentation by multiscale aggregation of filter responses and shape ele- ments

Reference 12

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Source-reported events for the cited work

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Observation 937d25ab-f5c5-405b-8b86-3d474652298c · outbound

This paper cites LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset.

JVLGS: Joint Vision-Language Gas Leak Segmentation LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset

Reference 13

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Source-reported events for the cited work

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Observation 0539fb8e-8f00-4309-ab6a-7cfb4d5db449 · outbound

This paper cites Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.

JVLGS: Joint Vision-Language Gas Leak Segmentation Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

Reference 14

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Observation d3e533ba-88c6-4243-8a20-81b86bbd634c · outbound

This paper cites Decoupling static and hier- archical motion perception for referring video segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Decoupling static and hier- archical motion perception for referring video segmentation

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2bcc7835-8950-4fe8-85e8-4e1507f36c0d · outbound

This paper cites Implicit-explicit motion learning for video cam- ouflaged object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Implicit-explicit motion learning for video cam- ouflaged object detection

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3545ec0a-33e3-4291-bbed-353db062921b · outbound

This paper cites Endow sam with keen eyes: Temporal-spatial prompt learn- ing for video camouflaged object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Endow sam with keen eyes: Temporal-spatial prompt learn- ing for video camouflaged object detection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ad2cfe36-afd6-456b-a4d7-a84d6ada1600 · outbound

This paper cites Fast camouflaged object detection via edge-based reversible re- calibration network.

JVLGS: Joint Vision-Language Gas Leak Segmentation Fast camouflaged object detection via edge-based reversible re- calibration network

Reference 18

Resolution
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Observation 57053209-5dab-44e3-b659-428281543402 · outbound

This paper cites Gas leakage detection using spatial and temporal neural network model.

JVLGS: Joint Vision-Language Gas Leak Segmentation Gas leakage detection using spatial and temporal neural network model

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 1115b134-5d49-4a36-a1e6-c96079f1b10b · outbound

This paper cites Betrayed by motion: Camouflaged object discovery via motion segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Betrayed by motion: Camouflaged object discovery via motion segmentation

Reference 20

Resolution
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Source-reported events for the cited work

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Observation bc281a1e-71f1-4263-aa7a-bee8a9ac62d4 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

JVLGS: Joint Vision-Language Gas Leak Segmentation VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 21

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Observation f40b7e9a-535c-49ca-ac22-caf040c82b64 · outbound

This paper cites Grounded language-image pre-training.

JVLGS: Joint Vision-Language Gas Leak Segmentation Grounded language-image pre-training

Reference 22

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Observation cca70e26-6d5d-4b57-9007-d01625919a88 · outbound

This paper cites Feature pyramid networks for object detection, 2017.

JVLGS: Joint Vision-Language Gas Leak Segmentation Feature pyramid networks for object detection, 2017

Reference 23

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Observation 00a69af5-522e-45d2-869b-a2455645bca6 · outbound

This paper cites An effective low-contrast SF6 gas leakage detection method for infrared imaging.

JVLGS: Joint Vision-Language Gas Leak Segmentation An effective low-contrast SF6 gas leakage detection method for infrared imaging

Reference 24

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Source-reported events for the cited work

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Observation 4e4973c7-33cb-4996-b625-41d75782fe17 · outbound

This paper cites Image segmenta- tion using text and image prompts.

JVLGS: Joint Vision-Language Gas Leak Segmentation Image segmenta- tion using text and image prompts

Reference 25

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Source-reported events for the cited work

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Observation 90077437-f6f4-4bfd-a652-05a3be6fa29e · outbound

This paper cites Scaling open-vocabulary object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Scaling open-vocabulary object detection

Reference 26

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Source-reported events for the cited work

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Observation ff9ebc83-415d-4e4e-8a01-da89a1208ca1 · outbound

This paper cites Simple open-vocabulary object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Simple open-vocabulary object detection

Reference 27

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Source-reported events for the cited work

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Observation a8004b0c-5925-4d10-8c04-fb1f87c79fda · outbound

This paper cites Actionvos: Actions as prompts for video object segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Actionvos: Actions as prompts for video object segmentation

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b7ebdf7c-d647-496b-8755-e277146b98d4 · outbound

This paper cites Zoomnext: A unified collaborative pyra- mid network for camouflaged object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Zoomnext: A unified collaborative pyra- mid network for camouflaged object detection

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation de38c68f-88b1-44f9-a22a-a29eecb693e4 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation A benchmark dataset and evaluation methodology for video object segmentation

Reference 30

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Observation 0346a9cf-cfed-4210-8f00-94247186424a · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

JVLGS: Joint Vision-Language Gas Leak Segmentation Learning transferable visual models from natural language supervi- sion

Reference 31

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Source-reported events for the cited work

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Observation d8bb74ac-c785-481a-8816-c09a41f5d82e · outbound

This paper cites Zero-shot text-to-image generation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Zero-shot text-to-image generation

Reference 32

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Source-reported events for the cited work

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Observation 1929c4c6-dfb3-4e77-b7d5-a904cdff7411 · outbound

This paper cites Are optical gas imaging technologies effective for methane leak detection? Environmental science & technology , 51(1):718–724, 2017.

JVLGS: Joint Vision-Language Gas Leak Segmentation Are optical gas imaging technologies effective for methane leak detection? Environmental science & technology , 51(1):718–724, 2017

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 176c3c38-c6ad-47f3-81b2-aaec54415b91 · outbound

This paper cites Opening and closing.

JVLGS: Joint Vision-Language Gas Leak Segmentation Opening and closing

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e511d819-d84e-445d-8575-440187de795b · outbound

This paper cites Detection of regions of interest and camouflage breaking by direct convexity estima- tion.

JVLGS: Joint Vision-Language Gas Leak Segmentation Detection of regions of interest and camouflage breaking by direct convexity estima- tion

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.434648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.954678Z digest=sha256:08e76cf2fe1ebb657442d7a5a5053f1ef5217d2372fce3d76c3cdf6499029159

Observation d2f1cbc9-f570-4d4d-ab8a-f84e699fc8b5 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

JVLGS: Joint Vision-Language Gas Leak Segmentation Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.425175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.958056Z digest=sha256:a42cd5d6dd3e3b2cb704b175629c26b28020b8350efa1888343e7ef07baae658

Observation a8822742-5e24-4305-b728-a88898c33bbb · outbound

This paper cites Videogasnet: Deep learning for natural gas methane leak classification using an infrared camera.

JVLGS: Joint Vision-Language Gas Leak Segmentation Videogasnet: Deep learning for natural gas methane leak classification using an infrared camera

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.415176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.961731Z digest=sha256:a4b6e94fafd6cf7d84bdc39c34c4ed4e4e1a203420f3b237b8777c8a250053fc

Observation 43fe1773-f071-481b-9a18-8d35eb0ad361 · outbound

This paper cites Tchapmi, Arvind P.

JVLGS: Joint Vision-Language Gas Leak Segmentation Tchapmi, Arvind P

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.405956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.965305Z digest=sha256:de188862b764ce9bb08d2a575763bc4bc60e1fb9996f47dc66181bc874d92190

Observation b612cd80-a462-472c-b5be-bf084cf8e494 · outbound

This paper cites Deep learning-based object detection for vis- ible dust and prevention measures on construction sites.

JVLGS: Joint Vision-Language Gas Leak Segmentation Deep learning-based object detection for vis- ible dust and prevention measures on construction sites

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.396164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.968689Z digest=sha256:f71b6f0431d6cf844901a895b878d9e37948f49e1af41bd26d5b2ac8415d79dd

Observation 0d3ba903-f1b1-4ba4-9ab7-c82b91e498ce · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

JVLGS: Joint Vision-Language Gas Leak Segmentation Pvt v2: Improved baselines with pyramid vision transformer

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.385959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.972114Z digest=sha256:66bbb7b4bdad596ca2ab20269de5480af82c80b8e42b1dee44f763807e1b04f4

Observation 536cbfb5-83d2-4e28-8817-106c90221bb3 · outbound

This paper cites Fire smoke detection based on texture fea- tures and optical flow vector of contour.

JVLGS: Joint Vision-Language Gas Leak Segmentation Fire smoke detection based on texture fea- tures and optical flow vector of contour

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.375961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.975506Z digest=sha256:4e875db58ec637d6078944a19e58e33946acfdd49e3feb1fa5a5f98c062ba8ad

Observation a1817220-4c8c-4cce-965f-be49cffb8328 · outbound

This paper cites F3net: fusion, feedback and focus for salient object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation F3net: fusion, feedback and focus for salient object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.365119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.979136Z digest=sha256:ca989710bb0d70ba5d85376c7bf307715179cb5ef7569cf030cbadd962af2aa1

Observation 720f9da5-702c-46fb-8254-d12c884d428b · outbound

This paper cites A Survey of Camouflaged Object Detection and Beyond.

JVLGS: Joint Vision-Language Gas Leak Segmentation A Survey of Camouflaged Object Detection and Beyond

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:56.982375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:56.982375Z digest=sha256:98e59493ef6f04ec8e331ae3661cdeb36b5ad20be34d05cd44a583eebc365b6e

Observation 4648597d-5933-4683-9a88-354d0b30af4f · outbound

This paper cites Segmenting moving objects via an object-centric layered representation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Segmenting moving objects via an object-centric layered representation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.354432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.986113Z digest=sha256:508677cfd6fbcea1b4a71e0eec1cd17e761a1e43621061eb84ee2f0e503c7672

Observation f403252d-c48f-4b65-a10c-20af186db0ff · outbound

This paper cites Flame and smoke detection in substation based on wavelet analysis and convolution neural network.

JVLGS: Joint Vision-Language Gas Leak Segmentation Flame and smoke detection in substation based on wavelet analysis and convolution neural network

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.343448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.989624Z digest=sha256:da9622c894944de1cb720815e05e3da82658a7939f3df9b369eab389d8a788bf

Observation 6ca5da01-d6a6-4697-9abc-24aa8c456706 · outbound

This paper cites VISA: Reasoning Video Object Segmentation via Large Language Models.

JVLGS: Joint Vision-Language Gas Leak Segmentation VISA: Reasoning Video Object Segmentation via Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:56.992932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:56.992932Z digest=sha256:2518265e09bdc69355fa9916885ec5cd36578add78f1815cf11fd8977f1d930b

Observation 05abad30-7d00-44b1-9e48-eab66cabf741 · outbound

This paper cites Mirror- net: Bio-inspired camouflaged object segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Mirror- net: Bio-inspired camouflaged object segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.331338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.996489Z digest=sha256:f97f3680ce4cc1bc8ef9322609dea9ea9c24fc969cd31a04b4268856168dc401

Observation b34a2e0a-3d6d-4cbf-a8b7-59b7ea38f1bb · outbound

This paper cites Semi-supervised video salient object detection using pseudo-labels.

JVLGS: Joint Vision-Language Gas Leak Segmentation Semi-supervised video salient object detection using pseudo-labels

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.321502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:56.999806Z digest=sha256:1ac84d4e9459042616721964422ed1bd82b9a88f9bbd5ed772f69b13f56c2424

Observation 1d3201fe-eee4-4871-bf14-e5e633c733b1 · outbound

This paper cites Self-supervised video object segmentation by motion grouping.

JVLGS: Joint Vision-Language Gas Leak Segmentation Self-supervised video object segmentation by motion grouping

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.311292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.004146Z digest=sha256:787afe4a48d6286815b57e51f1fd7bcaf03d8afccc46919e4620c7656e50a78d

Observation 58d2ca18-7e31-4cdc-b15e-7194a8e42bde · outbound

This paper cites Dynamic texture based smoke detection using surfacelet transform and hmt model.

JVLGS: Joint Vision-Language Gas Leak Segmentation Dynamic texture based smoke detection using surfacelet transform and hmt model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.300240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.007610Z digest=sha256:bc6fa97ceb35d8bcc9d106d35293dc356f50cc17f44d0c3d6d84f0cf66fb9645

Observation d1e7fd6f-eb71-4279-8cef-f4fb1a16e4f6 · outbound

This paper cites Optical gas detection: key technologies and applica- tions review.

JVLGS: Joint Vision-Language Gas Leak Segmentation Optical gas detection: key technologies and applica- tions review

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.288924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.010769Z digest=sha256:5f45ed052f7b96fe4665574d0f3d70a201476935d1af754f7ecc3f0e90175433

Observation fdb8b747-79e1-4d5c-8da1-34782733beb8 · outbound

This paper cites A lightweight network based on local-global feature fusion for real-time industrial invisible gas detection with infrared ther- mography.

JVLGS: Joint Vision-Language Gas Leak Segmentation A lightweight network based on local-global feature fusion for real-time industrial invisible gas detection with infrared ther- mography

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.279103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.014376Z digest=sha256:bc73918a0df71c41cedefd9a841e74c70febe7d171ed1bb328e5679092b07c9c

Observation 9e2d8b6e-748e-4f2a-a660-7e55362cb3b2 · outbound

This paper cites Leak detection and localization techniques in oil and gas pipeline: A bibliometric and sys- tematic review.

JVLGS: Joint Vision-Language Gas Leak Segmentation Leak detection and localization techniques in oil and gas pipeline: A bibliometric and sys- tematic review

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.268742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.018770Z digest=sha256:a3bacbc2ebf1363dd8b75a1f6f8e68ec08ddd535f6893efdb2ab9fc18c0bb492

Observation 57938484-02f0-4832-8e61-ab05663f632a · outbound

This paper cites Vision-language models for vision tasks: A survey.

JVLGS: Joint Vision-Language Gas Leak Segmentation Vision-language models for vision tasks: A survey

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.258210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.022576Z digest=sha256:6671c874dc5c3ddb45a053bdefd465c6dcb7548381d836cefa91ae1a507307f4

Observation 9c6b6be8-946d-4a6e-adb1-27e317896d29 · outbound

This paper cites Explicit motion handling and interactive prompting for video camouflaged object detection.

JVLGS: Joint Vision-Language Gas Leak Segmentation Explicit motion handling and interactive prompting for video camouflaged object detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.246329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.026263Z digest=sha256:ef8529e80e89323ca8ba8d3e019317edc83db6b09c5c39eb8a82fc576b65bc66

Observation c3421444-885a-4562-beeb-c2aaa0499b80 · outbound

This paper cites A Survey of Large Language Models.

JVLGS: Joint Vision-Language Gas Leak Segmentation A Survey of Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T16:55:57.029760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:55:57.029760Z digest=sha256:f854df97a5a7494cd887aceb20b74cc57709bbd1b89dae8db463a6fc0eaf509c

Observation bfe13604-aef6-486a-ab3a-48fef4abb136 · outbound

This paper cites Fine-grained spatial-temporal perception for gas leak segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Fine-grained spatial-temporal perception for gas leak segmentation

Reference 57

Resolution
verified exact
raw_fallback, observed 2026-08-15T16:55:57.136832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.033610Z digest=sha256:e86ba4ead60371a3250d2587678ae1521845844e490d48115d7dc786d5a9f633

Observation d00e5742-732b-47e0-91b0-f1ce3a669307 · outbound

This paper cites Rmem: Restricted memory banks improve video object segmenta- tion.

JVLGS: Joint Vision-Language Gas Leak Segmentation Rmem: Restricted memory banks improve video object segmenta- tion

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.235751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.038431Z digest=sha256:dc78bbb0c4777f7a97d3c9abaa3a4bcf39223dcb3d413512fcebf3b5f3055d19

Observation 9f312e4a-5713-4fac-bd9b-5d5b13ffd3f0 · outbound

This paper cites Clip-vis: Adapting clip for open-vocabulary video instance segmentation.

JVLGS: Joint Vision-Language Gas Leak Segmentation Clip-vis: Adapting clip for open-vocabulary video instance segmentation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:55:57.225593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.042003Z digest=sha256:7377171fae054b86cdad42e73c5296ede865b0d7f6b2d74c05ac8b259cbb1bdc

Observation 71f2d63f-4bf8-4975-8755-dbc65bc25c68 · outbound

This paper cites White Steam.

JVLGS: Joint Vision-Language Gas Leak Segmentation White Steam

Reference 60

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T16:55:57.215076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:55:57.045518Z digest=sha256:cfc665eac3a3931e4a7ef01de5ad0a4735c92fc617f162bf83cc58b00cbdf857

Pith citing papers

No inbound Pith citation observations are available.