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Paper Citation Record · LEDGER

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.17536.

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

pith.paper-citation-record.v1
2411.17536 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:07:30.971935Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c4fb17e-974c-476b-8c7c-2c985bfd1cad · outbound

This paper cites Multiscale Combinatorial Grouping.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Multiscale Combinatorial Grouping

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c3b264d3-bc41-48e7-b605-955685ef3a54 · outbound

This paper cites TIDE: A General Toolbox for Identifying Object Detection Errors.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning TIDE: A General Toolbox for Identifying Object Detection Errors

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 778a0c57-e784-41fa-90db-73c085a5edb0 · outbound

This paper cites Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Gen- eralist Convolution Kernels.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Gen- eralist Convolution Kernels

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d26a32bb-ad50-498d-88e8-ac5d25ece3e6 · outbound

This paper cites Automated Search for Resource-Efficient Branched Multi-Task Networks.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Automated Search for Resource-Efficient Branched Multi-Task Networks

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7faaedf8-4749-4358-8b2d-c0b2c683f40b · outbound

This paper cites Just Pick a Sign: Optimizing Deep Multitask Mod- els with Gradient Sign Dropout.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Just Pick a Sign: Optimizing Deep Multitask Mod- els with Gradient Sign Dropout

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5995c29e-bce9-475c-8b7b-9d435e80f9f2 · outbound

This paper cites A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.785794Z digest=sha256:ad86c53ade816be2a03a47bb428b8c37561ed88fac3b13ab7ea2b66cb04c2431

Observation 3f1ccc48-bf79-4152-959c-befad24eb13b · outbound

This paper cites The Pascal Visual Object Classes (VOC) Challenge.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning The Pascal Visual Object Classes (VOC) Challenge

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.791700Z digest=sha256:37bbb0745335e1a7cdb6394b04eddc32e8f47440c81607f4b96d8d4bdd1c5737

Observation 22a5c3c5-4dcd-4aef-add6-53629f5a54ea · outbound

This paper cites NDDR-CNN: Lay- erwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning NDDR-CNN: Lay- erwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.797073Z digest=sha256:9e72ce73f2fb17c9bb0bb6dc93f489de90dafab2a799aed530fc02b4962107a9

Observation 2acc285e-4a40-4cc3-aaeb-aadd2401ec0f · outbound

This paper cites Dynamic Task Prioritization for Multitask Learning.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Dynamic Task Prioritization for Multitask Learning

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.802814Z digest=sha256:c969df31952ca10f90cff8ad5d5ca36b725c8fd8e095fcbbe0e035f77104b076

Observation 8d3c0e38-01bf-47be-93c4-00b334e6a579 · outbound

This paper cites Semantic contours from inverse detectors.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Semantic contours from inverse detectors

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.809213Z digest=sha256:b232ba07a9372631f3ec6e9391bb9c19b20c6d5a9ab651c62c6373ec3d78702d

Observation f64b056d-ad76-4354-9755-ae5f3447334e · outbound

This paper cites Partly Supervised Multi-Task Learning.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Partly Supervised Multi-Task Learning

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.813785Z digest=sha256:de3e0a56497b630cc805b135f0b8a91193770db5fbc10e6b5fc5ad25f9d8fea3

Observation 99d173e9-d799-4a5e-851a-335d277fb0ce · outbound

This paper cites The distribution of the Flora in the Alpine Zone.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning The distribution of the Flora in the Alpine Zone

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.819090Z digest=sha256:146fe110f6e65e2f435957344272bb91e6b1a8e3c2a06ba64dbd502970a5b213

Observation 7a46d300-dcb4-42a9-bf5a-050a0a5b5830 · outbound

This paper cites Panoptic Segmentation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Panoptic Segmentation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.824127Z digest=sha256:69ed96daf02cb09ab959ab85bf8ebded9c1f0300ab94bae3b7e8611389fe8d28

Observation ce3e06f2-8965-4558-8e55-207a82f60d42 · outbound

This paper cites Efficient inference in fully connected CRFs with Gaussian edge potentials.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Efficient inference in fully connected CRFs with Gaussian edge potentials

Reference 14

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raw_fallback, observed 2026-08-12T12:07:31.448231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.830117Z digest=sha256:ccdc2d267236c52d313bb1d59ed9076ff6b6ba2583290e024d10337b0a044ed0

Observation 029ab76d-7418-4271-9ef5-f0bd9641ddcc · outbound

This paper cites Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.835189Z digest=sha256:90b5418a406948966366a0cb885edc9e49c287bb58bb08db9f61de8c624518b0

Observation 6e0d5e10-701a-4813-8d19-b09e534ba51e · outbound

This paper cites Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 88179ffa-5ffb-4391-b3c9-a30b4feec732 · outbound

This paper cites PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

Reference 17

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local_arxiv, observed 2026-08-12T12:07:31.029737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.844921Z digest=sha256:588a0acb2b1d15057c9344fc1dfeb479886be7930a6f9880b78f015d6781cfff

Observation daacda0f-74d8-418e-a31d-f4df0d60021b · outbound

This paper cites Knowledge Distillation for Multi-task Learning.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Knowledge Distillation for Multi-task Learning

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.849649Z digest=sha256:5d186e9295f553afaf9b97bdc57eaa3ba47e7b14fe38becf52affa4f84f7198f

Observation d618f14e-4838-4d3e-ab67-e36328db765a · outbound

This paper cites Learning Multiple Dense Prediction Tasks from Partially Annotated Data.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Learning Multiple Dense Prediction Tasks from Partially Annotated Data

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.854031Z digest=sha256:410e5766f00f585fe6914c513f0ab7ccb6e18b2608fd726172f7281450d01ea1

Observation 5948200e-bdc5-4df5-b726-bbc45ec69df3 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Microsoft COCO: Common Objects in Context

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.858617Z digest=sha256:5a76042b270865acbc03ae4b3050e232dc0ad0386230e183f18eef09d11d2218

Observation 6de7ad02-7d2d-4a0b-a0cf-6ced1585f4d4 · outbound

This paper cites Feature Pyramid Networks for Object Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Feature Pyramid Networks for Object Detection

Reference 21

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raw_fallback, observed 2026-08-12T12:07:31.365359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.863164Z digest=sha256:b3b1b520ffa383ca7bfef3b267980ac8183c639c0278817b8e877897fc3fbcbd

Observation 7eb5fcea-81b7-4439-a8e1-dab05e8f2645 · outbound

This paper cites Focal Loss for Dense Object Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Focal Loss for Dense Object Detection

Reference 22

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raw_fallback, observed 2026-08-12T12:07:31.352060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.868240Z digest=sha256:4c9c46d98b7453b809811a9937605d5d9f4549d5246a8c2dbf69d0902ba18e89

Observation 1ba65bc3-24e6-4a64-9599-19b816227199 · outbound

This paper cites End-To-End Multi-Task Learning With Attention.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning End-To-End Multi-Task Learning With Attention

Reference 23

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raw_fallback, observed 2026-08-12T12:07:31.337795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.873555Z digest=sha256:898a3ee9a7d47a5c24fdb1fa9d0c1df19c7dc11634b2b5d0511b054527eaac7f

Observation 6e3c9314-34c8-49d0-938a-94bea0398ea8 · outbound

This paper cites Path Aggregation Network for Instance Segmentation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Path Aggregation Network for Instance Segmentation

Reference 24

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raw_fallback, observed 2026-08-12T12:07:31.323572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.878819Z digest=sha256:3fcf7bd37df2c46f46813c573ee8ed4d702a4e2417c80ac9d6cb1873d9584787

Observation 6f1545ec-a4b5-4e19-ba65-d768bacde8f7 · outbound

This paper cites Unbiased Teacher for Semi-Supervised Object Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Unbiased Teacher for Semi-Supervised Object Detection

Reference 25

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raw_fallback, observed 2026-08-12T12:07:31.309571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.884610Z digest=sha256:019a5fe964ffce70ecc556b9dde14441f9b35f87ac83be4cd3bf00c97de3bfa5

Observation cbcd4b47-7761-4cc9-82fe-ad2733074755 · outbound

This paper cites Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors

Reference 26

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raw_fallback, observed 2026-08-12T12:07:31.295603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.889250Z digest=sha256:66ef9d5c5c8cd0e5bcd2d73655e5ef4593957799ef4cdfc1f44152e9f7561d1c

Observation dd6f31e7-b41f-4dcc-a595-66905f705826 · outbound

This paper cites Swin Transformer V2: Scaling Up Capacity and Resolution.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 27

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raw_fallback, observed 2026-08-12T12:07:31.281907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.893814Z digest=sha256:8b10b9c27414fe385280cced172e4c804a739526baf42d9b59b4f309e11e6981

Observation 01a7a5f4-aa3c-4953-9c41-8d643fc381ff · outbound

This paper cites Taskology: Utilizing Task Relations at Scale.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Taskology: Utilizing Task Relations at Scale

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.267477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.898859Z digest=sha256:ea088458a3ba8aff4fcd4f98dcabddc7380b31749227e9322b1cb0f38e585104

Observation 6db7cda6-675e-46e0-887e-136c4d068f8b · outbound

This paper cites Libra R-CNN: Towards Balanced Learning for Object Detection.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Libra R-CNN: Towards Balanced Learning for Object Detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.253599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.903877Z digest=sha256:544f8717b61bd8649aec797e94246bc39c93653596c88be79523972ef6e3e85d

Observation 68b20797-9611-424e-aa91-9911d7e8e51b · outbound

This paper cites Efficient Parametrization of Multi-Domain Deep Neural Networks.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Efficient Parametrization of Multi-Domain Deep Neural Networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.239171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.909150Z digest=sha256:bb5b44d6de5139a077fde9a460637128f2e1b7aaf65e61004bce89cccd9d5083

Observation 09291266-1336-4b5f-970a-c5f470284d34 · outbound

This paper cites GrabCut: Interactive Fore- ground Extraction Using Iterated Graph Cuts.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning GrabCut: Interactive Fore- ground Extraction Using Iterated Graph Cuts

Reference 31

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raw_fallback, observed 2026-08-12T12:07:31.224642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.915234Z digest=sha256:1d4f692f7c1811ebe66b26f2d21131d04d1423c8a9b9bfecab7c1eccfc336545

Observation 6ef85007-a439-4a65-ba95-e66ea9ee72fe · outbound

This paper cites Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation

Reference 32

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raw_fallback, observed 2026-08-12T12:07:31.208485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.920437Z digest=sha256:ca051a0ad747699fcb5cb77cf4f242cc1e0774b6f3322a0993a9729e685a2b36

Observation 7367dcc5-e518-4f84-81f8-b9ee36e40af9 · outbound

This paper cites Box-Driven Class- Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Box-Driven Class- Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

Reference 33

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raw_fallback, observed 2026-08-12T12:07:31.192629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.926188Z digest=sha256:ba6be515c3598273dbeb7211e9f44da3f1fe10803b9ad168e01969055ec562b7

Observation fed76b7e-f18c-4ea2-ab32-ef7412450bb6 · outbound

This paper cites Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.177860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.931833Z digest=sha256:a12b7b42f439d4d538b177e0ea570a3f7e57565348aec8241df0cd72f0cd2fe3

Observation 1b8f1dc6-013b-4fa9-901b-a75658f7dbd2 · outbound

This paper cites ZipIt! Merging Models from Different Tasks without Training.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning ZipIt! Merging Models from Different Tasks without Training

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.163709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.937650Z digest=sha256:1603b71c5f7258ecca31586c8bf6e04f69f35888a3b5f5e1bc4dcaadc0a3e8b1

Observation b9263612-3d25-42d7-903d-c27319354dab · outbound

This paper cites Multi-Task Learning for Dense Prediction Tasks: A Survey.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Multi-Task Learning for Dense Prediction Tasks: A Survey

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.146836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.942668Z digest=sha256:76f17b9d0454928a9dbbe17645abeaec6b2cda58ca238aaafbe09493e68788d6

Observation 7822cd7e-a2b1-4a27-9c35-d84909ff54e9 · outbound

This paper cites Semi-supervised Object Detection: A Survey on Recent Research and Progress, 2023.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Semi-supervised Object Detection: A Survey on Recent Research and Progress, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.130896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.947370Z digest=sha256:829a4407f286007af3f780302ee81b9f90ad27de42ed223ca95feb839ea33b60

Observation 35c25094-d8aa-4ca3-90bd-85ab58f83737 · outbound

This paper cites De- tectron2, 2019.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning De- tectron2, 2019

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.112865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.952512Z digest=sha256:27c50cc4970e697b27f4b9bb7949110ab1f74e3ad0a1b010c36f26e25b917c4f

Observation 5944f607-2748-42c3-a9fd-997aa1d2e04a · outbound

This paper cites End-to-End Semi-Supervised Object Detection With Soft Teacher.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning End-to-End Semi-Supervised Object Detection With Soft Teacher

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.095942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.957031Z digest=sha256:eb2649842235e7e61896d077f35d8c373e921a6375dc9ddcb101b9a069c97a29

Observation 13c12298-a933-4a5a-8da8-3f35c10bec1d · outbound

This paper cites Robust Learning Through Cross-Task Consistency.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Robust Learning Through Cross-Task Consistency

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.079765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.962069Z digest=sha256:000b6c110f2fa97fa7081f06cb7dd0b1d388ed24a21278ff8963b255616a6274

Observation 50e1174d-0098-41f2-abc4-5db5a48bf258 · outbound

This paper cites Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.063820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.967281Z digest=sha256:6be586b7670c421559cdd66e03513cba806c898bafdca59928d00ff8147bf203

Observation 44949053-2b86-4592-93b0-70282d0d2047 · outbound

This paper cites Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework.

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:31.046897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:30.971935Z digest=sha256:27e417c4013d4de679407dd0864097cd3a8b6013faff801fe084ba7baa226d21

Pith citing papers

No inbound Pith citation observations are available.