Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:05.200664Z
Paper Citation Record · LEDGER
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding
As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.07744.
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
51 of 51 outbound references displayed
- verified exact2
- verified fuzzy32
- unresolved16
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c171e9f0-1219-48da-b4e1-b594575d6f54 · outbound
This paper cites Joint visual and audio learning for video highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Joint visual and audio learning for video highlight detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:12.354245Z
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 9dcd0f8f-f622-4c8e-b43a-e26cea825954 · outbound
This paper cites FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c7eba0d-06a4-4bbc-842e-ddab6282ee95 · outbound
This paper cites End-to- end object detection with transformers.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding End-to- end object detection with transformers
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:12.193724Z
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 654734bc-97cd-4a42-8fa6-90ae36976868 · outbound
This paper cites Slowfast networks for video recognition.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Slowfast networks for video recognition
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:00.848713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75d26b24-e8b2-4486-8b32-79c9a7cc3419 · outbound
This paper cites The use of ranks to avoid the assumption of normality implicit in the analysis of variance.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:12.007086Z
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 cdf82518-2ae2-4220-849a-0bf54a004368 · outbound
This paper cites Tall: Temporal activity localization via language query.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Tall: Temporal activity localization via language query
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:11.839389Z
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 9e3b8fdc-7227-40c6-b3f7-6591f537a59f · outbound
This paper cites Clip-adapter: Better vision-language models with fea- ture adapters.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Clip-adapter: Better vision-language models with fea- ture adapters
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:11.672575Z
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 7058ff4b-37a9-4dfe-a399-c044ba2fbe00 · outbound
This paper cites Saliency-guided detr for mo- ment retrieval and highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Saliency-guided detr for mo- ment retrieval and highlight detection
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:01.160740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7a763af-351e-423e-b119-84f00fc9f336 · outbound
This paper cites LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:40:06.018099Z
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 be569355-1b5e-4e5e-9ee8-d15ddfbaf142 · outbound
This paper cites Unleash the Potential of CLIP for Video Highlight Detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Unleash the Potential of CLIP for Video Highlight Detection
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:40:05.757945Z
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 c87d8e20-ff76-4ffa-8e6b-08460fe55dd3 · outbound
This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:01.379564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5466ecd-48ef-446e-a5ba-6f557beac4a3 · outbound
This paper cites Mini-net: Multiple instance ranking network for video highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Mini-net: Multiple instance ranking network for video highlight detection
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:11.490094Z
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 c99d1de7-495b-47b5-9e05-6b70969c5966 · outbound
This paper cites Fifth berkeley symposium on mathematical statistics and probability.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Fifth berkeley symposium on mathematical statistics and probability
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:11.152005Z
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 4bb2cb10-9f50-4a4e-b88b-35c86fc67807 · outbound
This paper cites Knowing where to focus: Event-aware transformer for video grounding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Knowing where to focus: Event-aware transformer for video grounding
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:10.779308Z
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 d6455af2-90d2-4edc-8066-b87cf2bbe5d1 · outbound
This paper cites Vi- sual prompt tuning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Vi- sual prompt tuning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:10.378488Z
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 027ddf54-2842-4fb2-af89-78088e6f6da9 · outbound
This paper cites FractalNet: Ultra-Deep Neural Networks without Residuals.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding FractalNet: Ultra-Deep Neural Networks without Residuals
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:01.791278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ade79a0-108e-4edd-aaba-28d11e4eb1c9 · outbound
This paper cites Bam-detr: Boundary- aligned moment detection transformer for temporal sentence grounding in videos.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Bam-detr: Boundary- aligned moment detection transformer for temporal sentence grounding in videos
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:10.187552Z
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 26a573f4-6ffc-41d4-82b9-e287e889ca43 · outbound
This paper cites Detecting moments and highlights in videos via natural language queries.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Detecting moments and highlights in videos via natural language queries
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:10.085279Z
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 ac65712d-020c-41bf-9d4c-13f2eb98229f · outbound
This paper cites Dn-detr: Accelerate detr training by intro- ducing query denoising.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Dn-detr: Accelerate detr training by intro- ducing query denoising
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.967704Z
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 b3a7ea83-9220-4053-984c-0aa808346661 · outbound
This paper cites Univtg: Towards unified video- language temporal grounding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Univtg: Towards unified video- language temporal grounding
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.857558Z
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 beb6e54a-05e5-4ed0-927f-41a94c3afc0e · outbound
This paper cites Focal loss for dense object detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Focal loss for dense object detection
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:02.316676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d306071-2c72-4600-a409-34c126147cb0 · outbound
This paper cites Frozen clip models are efficient video learners.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Frozen clip models are efficient video learners
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.737363Z
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 f82a852d-52f8-4d0b-b24c-e873451843be · outbound
This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4d84933-1429-4601-952d-6e011314d4f8 · outbound
This paper cites End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.576985Z
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 962d6db7-09bb-4a60-9218-3d4e5fe0ff3f · outbound
This paper cites $R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding $R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bb7e029-ef6d-4f59-977d-318d65752d03 · outbound
This paper cites Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.450671Z
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 34b3b1a3-7981-425a-a102-7663f633fb81 · outbound
This paper cites LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:02.771931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8b4e273-c1b5-45ef-b906-8cbe788b8875 · outbound
This paper cites The surprising effectiveness of multimodal large language models for video moment retrieval.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding The surprising effectiveness of multimodal large language models for video moment retrieval
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:02.837075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f40d9eda-caae-4d09-a7d6-9c140d7b66e5 · outbound
This paper cites Correlation-guided query-dependency calibration in video representation learning for temporal grounding.CoRR, 2023.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Correlation-guided query-dependency calibration in video representation learning for temporal grounding.CoRR, 2023
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.354168Z
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 96ce5b25-054a-4166-a25e-886ed9a96a9b · outbound
This paper cites Query-dependent video representa- tion for moment retrieval and highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Query-dependent video representa- tion for moment retrieval and highlight detection
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.205916Z
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 dd6a6245-faf9-4110-ad95-d857ae3466e3 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Representation Learning with Contrastive Predictive Coding
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da0e6ad1-6cb4-4050-8c67-39d70e34a7a4 · outbound
This paper cites St-adapter: Parameter-efficient image-to-video transfer learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding St-adapter: Parameter-efficient image-to-video transfer learning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:09.051372Z
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 0019f4b3-10f4-4eb8-81ba-ed5f4fb2d95c · outbound
This paper cites Sada: Semantic adversarial unsupervised domain adaptation for temporal action localization.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Sada: Semantic adversarial unsupervised domain adaptation for temporal action localization
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:08.867577Z
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 d16eecaf-28d0-4610-b94b-afdcbbaf92c1 · outbound
This paper cites Disentangling spatial and temporal learning for efficient image-to-video transfer learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Disentangling spatial and temporal learning for efficient image-to-video transfer learning
Reference 34
- 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.
Observation ed20371f-0403-4410-b007-1bdccf5441a7 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Learning transferable visual models from natural language supervi- sion
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc3e3217-270b-42e1-b80f-c8f76e0fb56f · outbound
This paper cites Coherent multi-sentence video description with variable level of detail.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Coherent multi-sentence video description with variable level of detail
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:08.444433Z
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 22c1ed98-f3ce-4cd9-ae74-f64b4bd54f25 · outbound
This paper cites Ranking domain- specific highlights by analyzing edited videos.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Ranking domain- specific highlights by analyzing edited videos
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:08.271012Z
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 55b6973d-c485-45ac-9314-207f4d83df5b · outbound
This paper cites Lst: Lad- der side-tuning for parameter and memory efficient transfer learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Lst: Lad- der side-tuning for parameter and memory efficient transfer learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:08.112200Z
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 0afbd36f-a5ef-489d-9838-1bf659250beb · outbound
This paper cites Attention is all you need.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Attention is all you need
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:03.914238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc814c50-2861-428e-a020-1ced0515292a · outbound
This paper cites Internvideo2: Scaling foundation models for mul- timodal video understanding.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Internvideo2: Scaling foundation models for mul- timodal video understanding
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:07.944574Z
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 dae05960-f941-4840-985e-c37e44273954 · outbound
This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcaac928-c242-44ff-ba16-b035f1054970 · outbound
This paper cites Vision transformer with deformable attention.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Vision transformer with deformable attention
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:07.710516Z
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 6e3c69d9-d6f6-42f5-b21b-21bce7ccd6d1 · outbound
This paper cites Bridging the gap: A unified video comprehension framework for mo- ment retrieval and highlight detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Bridging the gap: A unified video comprehension framework for mo- ment retrieval and highlight detection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:07.511209Z
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 542b7c04-9546-4022-bcc1-47839712a2bf · outbound
This paper cites Cross-category video high- light detection via set-based learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Cross-category video high- light detection via set-based learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:07.318203Z
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 f6177304-f351-4ff1-9927-97870806d7c9 · outbound
This paper cites Unloc: A unified framework for video localiza- tion tasks.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Unloc: A unified framework for video localiza- tion tasks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:07.110265Z
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 15576df0-3d5b-4402-aa8c-5705814ab4a4 · outbound
This paper cites Understanding negative sampling in graph representation learning.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Understanding negative sampling in graph representation learning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:06.893073Z
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 a89e8865-aa01-4c01-bda5-86a15edc9dd0 · outbound
This paper cites Parameter-efficient is not sufficient: Exploring parame- ter, memory, and time efficient adapter tuning for dense pre- dictions.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Parameter-efficient is not sufficient: Exploring parame- ter, memory, and time efficient adapter tuning for dense pre- dictions
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:06.739159Z
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 d05ac6e5-583e-49f8-a42f-a901e059b357 · outbound
This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:04.919669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f196f109-36e6-44b2-a4b1-68282aa34209 · outbound
This paper cites Conditional prompt learning for vision-language mod- els.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Conditional prompt learning for vision-language mod- els
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:40:06.521597Z
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 93b92d5b-bd99-4e09-8c12-71c2c64db6fa · outbound
This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Deformable DETR: Deformable Transformers for End-to-End Object Detection
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:40:05.125881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60b4fea0-4029-4292-816c-9e4963f77bea · outbound
This paper cites Notably, these losses are applied to all the intermediate layers inde- pendently.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Notably, these losses are applied to all the intermediate layers inde- pendently
Reference 51
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T18:40:06.366128Z
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.