Paper Citation Record · LEDGER

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

As of 6 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 3 inbound Pith citation observations for arXiv:2604.15065.

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

pith.paper-citation-record.v1
2604.15065 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:10:53.363675Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:15:42.653254Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-19T15:37:37.220149Z

Reference resolution

73 of 73 outbound references displayed

verified exact13
verified fuzzy60
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3951639-42a9-40fc-9936-340dfbd3c356 · outbound

This paper cites A review of small object detection based on deep learning.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection A review of small object detection based on deep learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.611289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 59b3ec34-b97c-4002-8609-78d74b77b3e0 · outbound

This paper cites Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing.IEEE TPAMI.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing.IEEE TPAMI

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.609421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33f51a1a-35e5-49a0-b290-fcd904c9dbdd · outbound

This paper cites Efficient unsupervised clustering of hyperspectral images via flexible multi-anchor graphs.Remote Sens., 17(15):2647.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Efficient unsupervised clustering of hyperspectral images via flexible multi-anchor graphs.Remote Sens., 17(15):2647

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.258666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2e86631a-0b8d-47b3-ae67-c8f34e0f7f05 · outbound

This paper cites Mdpcaps-csl for sar image target recognition with limited labeled training data.IEEE Access, 8:176217–176231.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Mdpcaps-csl for sar image target recognition with limited labeled training data.IEEE Access, 8:176217–176231

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.607210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c7e59e40-6e15-444e-ac59-49e8ed27f979 · outbound

This paper cites Palmprobnet: A probabilistic approach to understanding palm distributions in ecuadorian tropical forest via transfer learning.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Palmprobnet: A probabilistic approach to understanding palm distributions in ecuadorian tropical forest via transfer learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.310149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7aaa0e2-15c3-4a38-ac46-4d339e4d08e2 · outbound

This paper cites Superpixel-based and spatially regularized diffusion learning for unsupervised hyperspectral image clustering.IEEE Transactions on Geoscience and Remote Sensing, 62:1–18.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Superpixel-based and spatially regularized diffusion learning for unsupervised hyperspectral image clustering.IEEE Transactions on Geoscience and Remote Sensing, 62:1–18

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.273664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4702767a-30c6-426e-b846-dd33b2b4707f · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks.IEEE TPAMI, 45(11):13467–13488.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Towards large-scale small object detection: Survey and benchmarks.IEEE TPAMI, 45(11):13467–13488

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.299145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97791f94-aec8-4053-b3c5-b790842b61f5 · outbound

This paper cites Efficient localization and spatial distribution modeling of canopy palms using uav imagery.IEEE TGRS.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Efficient localization and spatial distribution modeling of canopy palms using uav imagery.IEEE TGRS

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.291641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8acfc6d9-c600-4ff3-a80a-0242998af96d · outbound

This paper cites Slicing aided hyper inference and fine-tuning for small object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Slicing aided hyper inference and fine-tuning for small object detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.613190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 613d1150-5343-45fd-ae29-ff4c9df7e559 · outbound

This paper cites MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:15:22.160832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc4a2ab5-d282-476a-b184-e8ab2f37c6de · outbound

This paper cites Detrs beat yolos on real-time object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Detrs beat yolos on real-time object detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.289712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1cf3932a-5caf-4c62-9ff4-20a9822262e6 · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dino: Detr with improved denoising anchor boxes for end-to-end object detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.285401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79a88b58-3685-48df-b46a-b5ea02a53859 · outbound

This paper cites Dinov3 visual representations for blueberry perception toward robotic harvesting.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dinov3 visual representations for blueberry perception toward robotic harvesting

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.157678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be237d22-6948-46e1-9213-f0e643087fc4 · outbound

This paper cites From orthomosaics to raw uav imagery: Enhancing palm detection and crown-center localization.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection From orthomosaics to raw uav imagery: Enhancing palm detection and crown-center localization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.144917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 090bb5c7-076b-4a81-8471-5775b63d76d0 · outbound

This paper cites Conditional for fast training convergence.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Conditional for fast training convergence

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.244889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9d364eb4-9531-4fc2-803e-57415dae4c56 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dn-detr: Accelerate detr training by introducing query denoising

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.287148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aa398ad1-0008-479c-8a6c-6751878d9aa4 · outbound

This paper cites Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:04:11.502809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9e0a9554-e87b-4596-b00e-09719622222d · outbound

This paper cites Center-guided classifier for semantic segmentation of remote sensing images.IEEE TGRS.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Center-guided classifier for semantic segmentation of remote sensing images.IEEE TGRS

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.326768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19c4b38e-0833-45ea-8702-af38ed380afb · outbound

This paper cites Implicit regression in subspace for high-sensitivity cest imaging.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Implicit regression in subspace for high-sensitivity cest imaging

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.302536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3baed423-ed01-4384-9aca-fc3d176478e1 · outbound

This paper cites Blind adaptive local denoising for cest imaging.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Blind adaptive local denoising for cest imaging

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.126041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8f67487d-4528-41ef-aeac-dc8bca51d4a2 · outbound

This paper cites Sada: Stability-guided adaptive diffusion acceleration.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Sada: Stability-guided adaptive diffusion acceleration

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.321141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b950948b-bb9b-4194-b21a-3fdf517fb240 · outbound

This paper cites Toward efficient uav-based small object detection: A lightweight network with enhanced feature fusion.Remote Sens., 17(13):2235.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Toward efficient uav-based small object detection: A lightweight network with enhanced feature fusion.Remote Sens., 17(13):2235

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.333780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09c7e9bf-41f5-4187-bbe4-43df2b4465a4 · outbound

This paper cites Seaf-net: A sustainable and lightweight attention-enhanced detection network for underwater fish species recognition.Journal of Marine Science and Engineering, 14(4):351.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Seaf-net: A sustainable and lightweight attention-enhanced detection network for underwater fish species recognition.Journal of Marine Science and Engineering, 14(4):351

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.336103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b685304f-2086-4dc4-ad88-cbdb76b2468a · outbound

This paper cites Deep residual learning for image recognition.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Deep residual learning for image recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.312071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42410f63-e647-431e-8a46-a2377c87cd12 · outbound

This paper cites Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images.Computers in Biology and Medicine, 182:109151.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images.Computers in Biology and Medicine, 182:109151

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.295688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 033e15b6-9ffc-474c-bce8-9ad26bc7e74a · outbound

This paper cites Ssd: Single shot multibox detector.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Ssd: Single shot multibox detector

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.256814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d20c2df-62e2-4654-b16e-ced62677b836 · outbound

This paper cites Yolov3: An incremental improvement.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Yolov3: An incremental improvement

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.314103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 440b1b8a-e8d8-46f6-b1f4-456d8d539b24 · outbound

This paper cites Behavior recognition and tracking of group-housed pigs based on improved bytetrack algorithm.Trans.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Behavior recognition and tracking of group-housed pigs based on improved bytetrack algorithm.Trans

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.252595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 386c5141-27d9-4e1e-97cc-3b97b5706ac1 · outbound

This paper cites Bmdnet-yolo: A lightweight and robust model for high-precision real-time recognition of blueberry maturity.Horticulturae, 11(10):1202.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Bmdnet-yolo: A lightweight and robust model for high-precision real-time recognition of blueberry maturity.Horticulturae, 11(10):1202

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.324937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01e827c1-9463-45e4-a4c4-5449ab32baee · outbound

This paper cites Cott-adnet: Lightweight real-time cotton boll and flower detection under field conditions.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Cott-adnet: Lightweight real-time cotton boll and flower detection under field conditions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.234300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f5b8bcc7-6502-43a3-8f9c-7cbe898a1fb7 · outbound

This paper cites Focal loss for dense object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Focal loss for dense object detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.232287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f6ee33b-0979-49c7-bdb3-c185c8b20305 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.260677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e68d2688-bc35-4754-a6a2-714327215b49 · outbound

This paper cites Mask r-cnn.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Mask r-cnn

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.297335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 988ff93c-00be-410b-b8db-7d3cb0491633 · outbound

This paper cites Fedc-dac: A federated clustering with dynamic aggregation and calibration method for sar image target recognition.IEEE JSTAR.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Fedc-dac: A federated clustering with dynamic aggregation and calibration method for sar image target recognition.IEEE JSTAR

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.242475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e4aa790e-48c3-4ec5-a6cb-e56be418a6a0 · outbound

This paper cites Luffd-yolo: A lightweight model for uav remote sensing forest fire detection based on attention mechanism and multi-level feature fusion.Remote Sens., 16(12):2177.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Luffd-yolo: A lightweight model for uav remote sensing forest fire detection based on attention mechanism and multi-level feature fusion.Remote Sens., 16(12):2177

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.238307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2557b61c-465b-4ae8-8288-5b3249dc10ed · outbound

This paper cites Superyolo: Super resolution assisted object detection in multimodal remote sensing imagery.IEEE TGRS, 61:1–15.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Superyolo: Super resolution assisted object detection in multimodal remote sensing imagery.IEEE TGRS, 61:1–15

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.229763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3cb403c0-f43b-4493-89b3-6ac669813018 · outbound

This paper cites Pcnet: A structure similarity enhancement method for multispectral and multimodal image registration.Inf.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Pcnet: A structure similarity enhancement method for multispectral and multimodal image registration.Inf

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.227500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cdb13f19-e3a4-478b-a88c-538bbd28937d · outbound

This paper cites Learning non-maximum suppression.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Learning non-maximum suppression

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.319337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 02c80b83-d53e-4e7b-bde0-960d748346f9 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.329846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a13324d9-4f63-4012-bd7f-a8a31b18ced7 · outbound

This paper cites Larsen, Victor P.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Larsen, Victor P

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.317664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 68edbdc2-4d80-45f8-86df-ddf875610b22 · outbound

This paper cites End-to-end object detection with transformers.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection End-to-end object detection with transformers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.246971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 84532abc-4c3b-4c34-a2cb-55e2e9c07a39 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:47:17.069034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 37727d92-9fe6-4aff-9545-f7a43985489c · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.267714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eb3a44ea-3b48-413d-a79c-fbffe90113c6 · outbound

This paper cites A coarse to fine detection method for prohibited object in x-ray images based on progressive transformer decoder.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection A coarse to fine detection method for prohibited object in x-ray images based on progressive transformer decoder

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.304595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f98d6180-04b3-4d48-9e83-dfd718736c71 · outbound

This paper cites Sparseformer: Detecting objects in hrw shots via sparse vision transformer.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Sparseformer: Detecting objects in hrw shots via sparse vision transformer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.322871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b62d5471-0325-40fa-8229-a55ff6c3954d · outbound

This paper cites Optimized hard exudate detection with supervised contrastive learning.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Optimized hard exudate detection with supervised contrastive learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.283612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation febd7f50-537a-424d-8a74-19854b5a0991 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.279448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 36ca47dd-51ed-48b8-86bf-63a4550f60a0 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.248875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cfe7fdc0-c488-45df-94a4-33f8dbe232e2 · outbound

This paper cites Cvt: Introducing convolutions to vision transformers.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Cvt: Introducing convolutions to vision transformers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.236260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25dd7a0d-51c4-44cf-85c1-d0448823ee46 · outbound

This paper cites Nyströmformer: A nyström-based algorithm for approximating self-attention.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Nyströmformer: A nyström-based algorithm for approximating self-attention

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.615098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d4ec915-3acb-41a4-92d8-fb4080e534c9 · outbound

This paper cites Flashsvd: Memory-efficient inference with streaming for low-rank models.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Flashsvd: Memory-efficient inference with streaming for low-rank models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:12:17.617395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3dcfb38-44d9-4fab-be51-a189648df15f · outbound

This paper cites Query pipeline optimization for cancer patient question answering systems.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Query pipeline optimization for cancer patient question answering systems

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:15:22.136327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cf86526f-6e65-4e4a-b670-c17f971a990b · outbound

This paper cites Deformable convnets v2: More deformable, better results.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Deformable convnets v2: More deformable, better results

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.308349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8c397b7-45c1-45a8-b047-cea71cefd56d · outbound

This paper cites Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.275785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c801303d-6fb7-4eb3-99af-8a5fa2f9e64e · outbound

This paper cites Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images.IEEE TGRS, 54(12):7405–7415.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images.IEEE TGRS, 54(12):7405–7415

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.265623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33920fa3-0520-4e49-9d70-aba70e9e8fb4 · outbound

This paper cites The pascal visual object classes (voc) challenge.IJCV.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection The pascal visual object classes (voc) challenge.IJCV

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.254827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2a9b553f-27dd-43a3-9c9c-da76c011907f · outbound

This paper cites Visualizing our changing earth: A creative ai framework for democratizing environmental storytelling through satellite imagery.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Visualizing our changing earth: A creative ai framework for democratizing environmental storytelling through satellite imagery

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.331760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19545da8-2f90-4030-8bba-987801cafd2b · outbound

This paper cites Iidm: Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery.KBS, page 115131.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Iidm: Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery.KBS, page 115131

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.316040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81421e7a-207f-4250-9fb9-08b7e8701d80 · outbound

This paper cites Dinov3-powered multi-task foundation model for quantitative remote sensing estimation.AAAI 2026, 40(48):41455–41456.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Dinov3-powered multi-task foundation model for quantitative remote sensing estimation.AAAI 2026, 40(48):41455–41456

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.271428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c03d6e25-a5b3-4c88-8d41-778c3d9c295d · outbound

This paper cites Spatiotemporal alignment for remote sensing image recovery via terrain-aware diffusion.ICASSP 2026.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Spatiotemporal alignment for remote sensing image recovery via terrain-aware diffusion.ICASSP 2026

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.306453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b0b37e8-3395-4c9b-844e-9fa3d2523bc9 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Fcos: Fully convolutional one-stage object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.277569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df6f0bda-b3b4-4bf8-a0bb-01fd24ea4e1b · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Centernet: Keypoint triplets for object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.293686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 737f4fd2-9928-4305-94d9-e9fb1ce46a23 · outbound

This paper cites Searching for mobilenetv3.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Searching for mobilenetv3

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.300749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 29b380aa-9d43-4063-a6a5-ccf253ce2f55 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:34:24.827997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01688645-aeeb-48b5-b9c3-6e099559e27b · outbound

This paper cites YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.129720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 98211088-feaa-4727-b71e-ad14e109578e · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.139448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d258a8c8-6a6e-4cd5-8056-c04fc1b7c294 · outbound

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

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.262561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 663b0db4-4914-4f6b-8e33-795b7e37c932 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLOv11: An Overview of the Key Architectural Enhancements

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:29:16.418786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7609efe7-bc4b-4cfe-bae6-0aa1d9d0da45 · outbound

This paper cites The footprint of factorization models and their applications in collaborative filtering.ACM Transactions on Information Systems (TOIS), 40(4):1–32.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection The footprint of factorization models and their applications in collaborative filtering.ACM Transactions on Information Systems (TOIS), 40(4):1–32

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.281358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 875d481a-276a-4304-be38-49a480c9e17a · outbound

This paper cites Ads-poi: Agentic spatiotemporal state decomposition for next point-of-interest recommendation.ACM ISBN, pages 978–1.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Ads-poi: Agentic spatiotemporal state decomposition for next point-of-interest recommendation.ACM ISBN, pages 978–1

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.250777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 976780a3-6325-4df9-b36f-322d2f4f615a · outbound

This paper cites Cast-poi: Candidate- conditioned spatiotemporal modeling for next poi recommendation.ACM ISBN, pages 978–1.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection Cast-poi: Candidate- conditioned spatiotemporal modeling for next poi recommendation.ACM ISBN, pages 978–1

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:07:22.269566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c6c15d38-ae6e-4494-a71c-8683b3b57dd3 · outbound

This paper cites HMPE:HeatMap Embedding for Efficient Transformer-Based Small Object Detection.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection HMPE:HeatMap Embedding for Efficient Transformer-Based Small Object Detection

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:15:22.148263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 04abfb16-53cf-437c-ae80-872c25d716ad · outbound

This paper cites DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-27T02:05:12.330578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation f6a8f73d-b43c-4595-80d7-27f4a254783c · inbound

Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation cites this paper.

Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:01:03.637827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52f92d33-a20a-4140-a9d4-78eb4b554fb0 · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T19:15:42.653254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea464b70-3c87-4fb9-b80e-e4f3dd2e27a3 · inbound

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest cites this paper.

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-19T15:37:37.222183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.