Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:00:29.035049Z
Paper Citation Record · LEDGER
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.21816.
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 2026-08-09T06:31:02.800959+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
48 of 48 outbound references displayed
- verified exact4
- verified fuzzy32
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b3bc631b-bfac-45f9-928e-1c8743aca8ba · outbound
This paper cites Multi-Label Learning from Single Positive Labels.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Multi-Label Learning from Single Positive Labels
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:00:29.689840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3cca6bd9-4766-4c90-82ab-90e13d18b081 · outbound
This paper cites A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:36.724724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e7067e1-111b-4857-adcd-dd1023e3ed34 · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Explaining and Harnessing Adversarial Examples
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:25.349258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4427c675-c45a-4919-82ac-c95f8fbc5bf1 · outbound
This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Towards Deep Learning Models Resistant to Adversarial Attacks
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:25.453646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eceff757-f62b-4ecd-8788-c9d6194d92b2 · outbound
This paper cites Generative adversarial nets,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Generative adversarial nets,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:25.548507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b95fbdc-1f24-426d-9f2f-0e744768a82c · outbound
This paper cites Gandef: A gan based adversarial training defense for neural network classifier,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Gandef: A gan based adversarial training defense for neural network classifier,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:36.569249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f069217e-f805-45ad-b137-0e4c26e8de16 · outbound
This paper cites Denoising diffusion probabilistic models,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Denoising diffusion probabilistic models,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:25.677460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 787ff73c-67c5-4585-b640-1255710d37b0 · outbound
This paper cites Weakly supervised multi-label learning via label enhancement.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Weakly supervised multi-label learning via label enhancement
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:36.437199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb0fced3-2392-449b-854f-e64658ab683e · outbound
This paper cites Multi-label learning from single positive labels,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Multi-label learning from single positive labels,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:36.287745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 560d2b12-f7ab-452a-bff7-36e0cbd44d77 · outbound
This paper cites When does label smoothing help?.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning When does label smoothing help?
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:36.106608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4788ac9a-b604-41e0-8ec3-12a9d68e1207 · outbound
This paper cites Simple and Robust Loss Design for Multi-Label Learning with Missing Labels.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:00:29.553750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7be568f5-1131-445f-b2e2-a772b7dd87f2 · outbound
This paper cites Large loss matters in weakly supervised multi-label classification,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Large loss matters in weakly supervised multi-label classification,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.951828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1fe40f3a-4984-4539-b72f-534890a31d2d · outbound
This paper cites Bridging the gap between model explanations in partially annotated multi-label classification,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Bridging the gap between model explanations in partially annotated multi-label classification,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.781148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fe4af609-53e3-4c13-8ebf-81d4d64da884 · outbound
This paper cites Exploring structured semantic prior for multi label recognition with incomplete labels,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Exploring structured semantic prior for multi label recognition with incomplete labels,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.586223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc63184c-0758-42e4-be65-94e086a67600 · outbound
This paper cites Revisiting pseudo-label for single- positive multi-label learning,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Revisiting pseudo-label for single- positive multi-label learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.462034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 61c5cadc-f7f1-4657-ab97-e7a85dcfee40 · outbound
This paper cites Hierarchical prompt learning using clip for multi-label classification with single positive labels,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Hierarchical prompt learning using clip for multi-label classification with single positive labels,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.316036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c979f590-c09e-4d8e-bc65-4b3b14f12be7 · outbound
This paper cites Clipsitu: Effectively leveraging clip for conditional predictions in situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Clipsitu: Effectively leveraging clip for conditional predictions in situation recognition,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:35.137717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 88750a55-50d5-4d29-94a4-1b42dc6ff9a1 · outbound
This paper cites Clip-event: Connecting text and images with event structures,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Clip-event: Connecting text and images with event structures,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:34.936670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0af5346-40a3-41f0-bc98-dcecb3eba770 · outbound
This paper cites Recurrent models for situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Recurrent models for situation recognition,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:34.623100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3e2aa608-4fff-43ff-87e5-ee4e251fc0fe · outbound
This paper cites Situation recognition with graph neural networks,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Situation recognition with graph neural networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:34.367688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 36e4a13c-f04a-4a60-8fac-3d1ccfae8ec3 · outbound
This paper cites Mixture-kernel graph attention network for situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Mixture-kernel graph attention network for situation recognition,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:34.166410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3702411-b182-4f65-b5b0-b7be96bd8a4d · outbound
This paper cites Attention-based context aware reasoning for situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Attention-based context aware reasoning for situation recognition,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:33.936378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0aef7c4f-5b06-4df0-a4d0-c677e2d58d19 · outbound
This paper cites Collaborative transformers for grounded situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Collaborative transformers for grounded situation recognition,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:33.654292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d86edae-7b35-4958-af9c-f72d744dd95b · outbound
This paper cites Ambiguous images with human judgments for robust visual event classification,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Ambiguous images with human judgments for robust visual event classification,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:33.434991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f5562153-c366-4a73-b521-1f512cdb0f8c · outbound
This paper cites Situation recognition: Visual semantic role labeling for image understanding,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Situation recognition: Visual semantic role labeling for image understanding,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:33.232424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f51a0f79-625b-46e6-b489-b8f1558be31f · outbound
This paper cites Grounded situation recognition,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Grounded situation recognition,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:33.035137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b7ee070-7bd5-4fb6-9f97-ddf5855b9466 · outbound
This paper cites an unresolved cited work.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T14:00:32.838176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c5a591f-2667-4617-bec7-2ae008701445 · outbound
This paper cites Grounded Situation Recognition with Transformers.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Grounded Situation Recognition with Transformers
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:00:29.393255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96c1f74e-8c7a-49c8-a090-01f78aa292f5 · outbound
This paper cites Visualizing data using t-sne.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Visualizing data using t-sne
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:32.544582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 679c7ad0-de75-4677-8671-28342b7f5cf7 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Semi-Supervised Classification with Graph Convolutional Networks
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:27.546533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a131e26a-789f-4183-96b1-1e054a0ae782 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Learning transferable visual models from natural language supervision,
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:27.642155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19e1c319-a3a9-42c0-8624-3cbf1d86fcc3 · outbound
This paper cites The framenet database and software tools.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning The framenet database and software tools
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:32.252720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 194c5fab-0790-4fd9-aeda-4caf04c6fe8b · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:27.779710Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c20bf85-8f9a-4254-bd8e-5338cf8a750f · outbound
This paper cites Focal loss for dense object detection,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Focal loss for dense object detection,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:32.111021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4e69657e-6341-4838-8053-a4cfca86f47f · outbound
This paper cites Learning deep features for discriminative localization,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Learning deep features for discriminative localization,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:31.901417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation acabd923-a3ed-412d-b848-3f91743aac51 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning The cityscapes dataset for semantic urban scene understanding,
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:28.004562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3ca3ef0-6ece-4057-92a1-cb25df5a9bba · outbound
This paper cites Activitynet: A large-scale video benchmark for human activity under- standing,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Activitynet: A large-scale video benchmark for human activity under- standing,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:31.673931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b1bcdeb3-f3da-47b1-ad7b-410428e175ad · outbound
This paper cites A survey on deep learning-driven remote sensing image scene understanding: Scene classification, scene retrieval and scene-guided object detection,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning A survey on deep learning-driven remote sensing image scene understanding: Scene classification, scene retrieval and scene-guided object detection,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:31.440025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 197738d3-1dcb-42bb-9093-8a258da9175c · outbound
This paper cites Learning and understanding dynamic scene activity: a review,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Learning and understanding dynamic scene activity: a review,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:31.164875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a1067c8-f87b-4e85-82ff-362b476daf96 · outbound
This paper cites Acknowledging the unknown for multi-label learning with single positive labels,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Acknowledging the unknown for multi-label learning with single positive labels,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:30.967763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2c0c599e-4ce5-4bed-b20c-59c4a757aedd · outbound
This paper cites One positive label is sufficient: Single-positive multi-label learning with label enhance- ment,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning One positive label is sufficient: Single-positive multi-label learning with label enhance- ment,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:30.632068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2d1e69e7-f160-4b9b-9069-a90672ca493c · outbound
This paper cites Qwen2.5-VL Technical Report.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Qwen2.5-VL Technical Report
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:28.597477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f514fc1-8a44-4978-b80d-506552c8548e · outbound
This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:28.677090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 397bad29-138d-4473-9007-350d0f70e30f · outbound
This paper cites Deepseek-v3 technical report,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Deepseek-v3 technical report,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:30.323236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 564f2a3d-9ad8-4e96-948f-9efb1109c8aa · outbound
This paper cites Co-pseudo labeling and active selection for fundus single-positive multi-label learning,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Co-pseudo labeling and active selection for fundus single-positive multi-label learning,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:29.943608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eaecc5f3-beec-4f6c-9783-53e8c9bd079b · outbound
This paper cites Semantic-guided Representation Learning for Multi-Label Recognition.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Semantic-guided Representation Learning for Multi-Label Recognition
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:00:29.188657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 48e8089d-8b49-4bff-a60d-ec15099a1401 · outbound
This paper cites Splicemix: A cross-scale and semantic blending augmentation strategy for multi-label image classification,.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Splicemix: A cross-scale and semantic blending augmentation strategy for multi-label image classification,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:00:29.825348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c5c8a58-0add-4302-af60-35d174c29280 · outbound
This paper cites DeepSeek-V3 Technical Report.
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning DeepSeek-V3 Technical Report
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:00:28.796823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.