Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:50:19.965576Z
Paper Citation Record · LEDGER
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.08216.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
34 of 34 outbound references displayed
- verified exact0
- verified fuzzy31
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3ad7e3b2-1836-45c5-9065-3a8b8ddd1108 · outbound
This paper cites Finding actors and actions in movies.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Finding actors and actions in movies
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.537703Z
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.
Observation 3fa2efa0-ee6a-4bc7-801f-d7f57276c3e1 · outbound
This paper cites Weakly su- pervised action labeling in videos under ordering constraints.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Weakly su- pervised action labeling in videos under ordering constraints
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.521509Z
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.
Observation bd47f115-6a76-4f9c-a428-0ebff7e457d1 · outbound
This paper cites Activitynet: A large-scale video benchmark for human activity understanding.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Activitynet: A large-scale video benchmark for human activity understanding
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa4031c0-0fdc-4288-9923-81e6b6af4f80 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Quo vadis, action recognition? a new model and the kinetics dataset
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5d6d406-69e7-4f06-89a3-7c1f7f9d36da · outbound
This paper cites Re- thinking the faster r-cnn architecture for temporal action lo- calization.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Re- thinking the faster r-cnn architecture for temporal action lo- calization
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.484056Z
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.
Observation 5ff63dbd-e0e6-4ea1-ab8c-c3bb54a28db0 · outbound
This paper cites Object counting and instance segmentation with image-level supervision.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Object counting and instance segmentation with image-level supervision
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.468701Z
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.
Observation caececc0-b4f7-4910-aeb1-f3337eae0051 · outbound
This paper cites Automatic annotation of human actions in video.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Automatic annotation of human actions in video
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.453759Z
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.
Observation 3c3d69e3-3fb8-4de6-a1dc-d8f23e617b0d · outbound
This paper cites C-wsl: Count-guided weakly supervised lo- calization.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization C-wsl: Count-guided weakly supervised lo- calization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.438411Z
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.
Observation f26b6c4a-78fc-43fd-90ed-f220e47ef65f · outbound
This paper cites The thu- mos challenge on action recognition for videos in the wild.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization The thu- mos challenge on action recognition for videos in the wild
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.422148Z
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.
Observation 055e5264-3cbb-4635-b700-dd43fba2b006 · outbound
This paper cites What do 15,000 object categories tell us about classifying and lo- calizing actions? In CVPR, 2015.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization What do 15,000 object categories tell us about classifying and lo- calizing actions? In CVPR, 2015
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.406894Z
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.
Observation 9632bdad-b552-448d-b8f2-d9668359cc18 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Adam: A Method for Stochastic Optimization
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:50:19.855740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdf18ce4-8a62-4493-850f-76deee1f5e36 · outbound
This paper cites Learning realistic human actions from movies.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Learning realistic human actions from movies
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.391252Z
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.
Observation 559d17cc-a625-47eb-960e-2264830d479b · outbound
This paper cites Spot on: Action localization from pointly-supervised proposals.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Spot on: Action localization from pointly-supervised proposals
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.374812Z
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.
Observation 36d28231-6e19-4f11-a8e0-3f9aec59ec3a · outbound
This paper cites Weakly supervised action localization by sparse temporal pooling network.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Weakly supervised action localization by sparse temporal pooling network
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.359344Z
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.
Observation 30c18073-f6fb-44fc-82fe-9df47387d0ac · outbound
This paper cites The lear submission at thumos 2014.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization The lear submission at thumos 2014
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.343731Z
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.
Observation 5919b37c-e697-4dc1-b61e-bbf4ad7dd64b · outbound
This paper cites W- talc: Weakly-supervised temporal activity localization and classification.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization W- talc: Weakly-supervised temporal activity localization and classification
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.327634Z
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.
Observation 9abecb6f-fc5d-4eda-a0b8-d813a7530e65 · outbound
This paper cites Weakly supervised action learning with rnn based fine-to-coarse modeling.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Weakly supervised action learning with rnn based fine-to-coarse modeling
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.311996Z
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.
Observation 7a46da14-8fc5-42d4-b38d-55df431a49e0 · outbound
This paper cites Modeling the temporal ex- tent of actions.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Modeling the temporal ex- tent of actions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.295644Z
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.
Observation 22039718-cbf8-4940-97a0-0074bf65c046 · outbound
This paper cites Smoothing and differentiation of data by simplified least squares procedures.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Smoothing and differentiation of data by simplified least squares procedures
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.279424Z
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.
Observation 0750b3c1-28fe-4a94-aa65-a5b2374356a8 · outbound
This paper cites Action snippets: How many frames does human action recognition require? In CVPR, 2008.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Action snippets: How many frames does human action recognition require? In CVPR, 2008
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.264145Z
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.
Observation 7388c7d6-992d-4bc7-a0eb-ca91caf8606f · outbound
This paper cites Cdc: Convolutional-de- convolutional networks for precise temporal action localiza- tion in untrimmed videos.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Cdc: Convolutional-de- convolutional networks for precise temporal action localiza- tion in untrimmed videos
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.248150Z
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.
Observation d1ca188f-a6f8-4e7c-8a6a-42f9799e2b7f · outbound
This paper cites Autoloc: weakly-supervised temporal action localization in untrimmed videos.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Autoloc: weakly-supervised temporal action localization in untrimmed videos
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.232534Z
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.
Observation 68a4ccbf-a863-49ae-8577-31db3b0821c0 · outbound
This paper cites Temporal action localization in untrimmed videos via multi-stage cnns.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Temporal action localization in untrimmed videos via multi-stage cnns
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.215864Z
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.
Observation f67f5e45-6184-4f8a-a0ec-a8b44082f465 · outbound
This paper cites Two-stream con- volutional networks for action recognition in videos.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Two-stream con- volutional networks for action recognition in videos
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.196371Z
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.
Observation 2d2d24c8-f8d9-476b-964b-958b6af8638e · outbound
This paper cites Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.179310Z
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.
Observation 4a05c4d2-b070-45bf-814b-884fb3f830c0 · outbound
This paper cites Learning spatiotemporal features with 3d convolutional networks.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Learning spatiotemporal features with 3d convolutional networks
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.161631Z
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.
Observation cd88adf6-2c69-412a-878f-6da95a93f1b9 · outbound
This paper cites Action recognition with improved trajectories.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Action recognition with improved trajectories
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.145672Z
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.
Observation c3983be5-efd0-4163-9530-ff5a534ae660 · outbound
This paper cites Untrimmednets for weakly supervised action recognition and detection.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Untrimmednets for weakly supervised action recognition and detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.129603Z
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.
Observation 25ac5d51-5625-48ca-b956-576cb5c2b108 · outbound
This paper cites Temporal segment networks: Towards good practices for deep action recogni- tion.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Temporal segment networks: Towards good practices for deep action recogni- tion
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.111967Z
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.
Observation fb2d8043-7bf7-4202-800f-1b2f6c78dbde · outbound
This paper cites A discriminative feature learning approach for deep face recog- nition.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization A discriminative feature learning approach for deep face recog- nition
Reference 30
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- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.093137Z
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.
Observation 3b73ad3e-ce7c-4670-89af-bed458a1e1c3 · outbound
This paper cites R-c3d: Region convolutional 3d network for temporal activity detection.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization R-c3d: Region convolutional 3d network for temporal activity detection
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.074455Z
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.
Observation 372f7662-02d0-46e6-b4ff-9578c03effbc · outbound
This paper cites A du- ality based approach for realtime tv-l 1 optical flow.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization A du- ality based approach for realtime tv-l 1 optical flow
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.057199Z
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.
Observation 8f916aad-fdbe-420d-b982-ffe91906bdee · outbound
This paper cites Temporal action detection with structured segment networks.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Temporal action detection with structured segment networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.040901Z
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.
Observation b882be0f-25b8-43f4-b6d3-12d14c11766d · outbound
This paper cites Learning deep features for discrimi- native localization.
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization Learning deep features for discrimi- native localization
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:50:20.024373Z
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.
Pith citing papers
No inbound Pith citation observations are available.