Paper Citation Record · LEDGER

Multi-Point Positional Insertion Tuning for Small Object Detection

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.18090.

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

pith.paper-citation-record.v1
2412.18090 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:06:02.524839Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy37
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9c78ad5-40c3-4a69-b4c7-f4845050871f · outbound

This paper cites Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.466976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3139e1cb-2308-4298-8b3b-aee13f0a8001 · outbound

This paper cites SOD-MTGAN: Small object detection via multi-task generative adversarial network,.

Multi-Point Positional Insertion Tuning for Small Object Detection SOD-MTGAN: Small object detection via multi-task generative adversarial network,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.434782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation adade6d4-d393-4dba-84e4-bad876cac572 · outbound

This paper cites Small object detection via coarse-to-fine proposal generation and imitation learning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Small object detection via coarse-to-fine proposal generation and imitation learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.411047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15019a26-599d-4ae3-b6b1-d15eeddd6c2c · outbound

This paper cites Robust small-scale pedestrian detec- tion with cued recall via memory learning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Robust small-scale pedestrian detec- tion with cued recall via memory learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.368301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c07efd48-e627-4906-92b2-9aad1bfe1176 · outbound

This paper cites Self-mimic learning for small-scale pedestrian detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Self-mimic learning for small-scale pedestrian detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.328086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cf96042-4add-45d9-9e27-7e82b757d6b0 · outbound

This paper cites Dynamic local and global context exploration for small object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Dynamic local and global context exploration for small object detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.279513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac476e4c-7d35-4d32-8725-cac69a6711e8 · outbound

This paper cites Grounded language-image pre-training,.

Multi-Point Positional Insertion Tuning for Small Object Detection Grounded language-image pre-training,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.242277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5b6a2d1-06c2-4070-b028-90a75acda561 · outbound

This paper cites GLIPv2: Unifying localization and vision-language understanding,.

Multi-Point Positional Insertion Tuning for Small Object Detection GLIPv2: Unifying localization and vision-language understanding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.192768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15220d8b-3f39-479f-84e0-50f4e7ac1dc3 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.158806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 564b40c7-bbf9-4813-99a7-14b78304f139 · outbound

This paper cites An Open and Comprehensive Pipeline for Unified Object Grounding and Detection.

Multi-Point Positional Insertion Tuning for Small Object Detection An Open and Comprehensive Pipeline for Unified Object Grounding and Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:02.034761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832d3f51-3f9e-4b0a-a9ae-81e1d5fcc1d9 · outbound

This paper cites Multiway- adapter: Adapting multimodal large language models for scalable image- text retrieval,.

Multi-Point Positional Insertion Tuning for Small Object Detection Multiway- adapter: Adapting multimodal large language models for scalable image- text retrieval,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.120635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85b7c237-e7e8-498e-9730-cafc62985645 · outbound

This paper cites Automatic design of adapter architectures for enhanced parameter-efficient fine-tuning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Automatic design of adapter architectures for enhanced parameter-efficient fine-tuning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.069242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c128ace-eac7-4bab-943f-b1d95f9714f9 · outbound

This paper cites Test-time distribution learning adapter for cross-modal visual reasoning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Test-time distribution learning adapter for cross-modal visual reasoning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:04.035418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 969a8a78-9e5f-4d18-a11c-1fef16ccd95c · outbound

This paper cites Adapter-based incremental learning for face forgery detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Adapter-based incremental learning for face forgery detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.999455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f436baf-26ef-4d6e-ba95-0719992fd5a7 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

Multi-Point Positional Insertion Tuning for Small Object Detection Parameter-efficient transfer learning for nlp,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.958826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29c4f5a7-06b0-4147-ab9a-0c1bbf1530ba · outbound

This paper cites Learning to prompt for vision- language models,.

Multi-Point Positional Insertion Tuning for Small Object Detection Learning to prompt for vision- language models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:02.102993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c18a12-508c-4353-8ac2-7045c3423e7c · outbound

This paper cites Conditional prompt learning for vision-language models,.

Multi-Point Positional Insertion Tuning for Small Object Detection Conditional prompt learning for vision-language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.878208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c4dfb4fc-9901-421e-a597-6dbd2a8668fd · outbound

This paper cites Visual prompt tuning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Visual prompt tuning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.837254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3c97f69-f452-4e2e-8ac5-fe8433b56815 · outbound

This paper cites Visual prompt tuning for weakly supervised phrase grounding,.

Multi-Point Positional Insertion Tuning for Small Object Detection Visual prompt tuning for weakly supervised phrase grounding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.777555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4df3bbde-2c44-4138-961d-37512c7750c3 · outbound

This paper cites Enhanced transfer learning with efficient modeling and adaptive fusion of knowledge via prompt tuning,.

Multi-Point Positional Insertion Tuning for Small Object Detection Enhanced transfer learning with efficient modeling and adaptive fusion of knowledge via prompt tuning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.708988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8961dc50-1cf2-4e0d-b693-e40a7b5845dd · outbound

This paper cites Cophtc: Contrastive learning with prompt tuning for hierarchical text classification,.

Multi-Point Positional Insertion Tuning for Small Object Detection Cophtc: Contrastive learning with prompt tuning for hierarchical text classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.679914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 52a7fd21-a47c-46f9-a48d-075319864441 · outbound

This paper cites To- wards large-scale small object detection: Survey and benchmarks,.

Multi-Point Positional Insertion Tuning for Small Object Detection To- wards large-scale small object detection: Survey and benchmarks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.644969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e816dd8-6060-4104-b243-03f8b82796b1 · outbound

This paper cites Focal loss for dense object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Focal loss for dense object detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.609843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b71fc19-b87c-4ccc-8871-ca04dd40727b · outbound

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

Multi-Point Positional Insertion Tuning for Small Object Detection FCOS: Fully convolutional one-stage object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.570900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a33b3f7-bee5-40f6-a634-21f6b606f4be · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks,.

Multi-Point Positional Insertion Tuning for Small Object Detection Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.534752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24db60b4-622b-4752-88a2-b058a0bd0b82 · outbound

This paper cites Sparse R-CNN: End-to-end object detection with learnable proposals,.

Multi-Point Positional Insertion Tuning for Small Object Detection Sparse R-CNN: End-to-end object detection with learnable proposals,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.453752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0223768a-4544-40e2-8c42-544d4bd267a6 · outbound

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

Multi-Point Positional Insertion Tuning for Small Object Detection End-to-end object detection with transformers,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.404755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ead6dbfd-8de5-4f8b-abd4-97cc73ae4807 · outbound

This paper cites Deformable DETR: Deformable transformers for end-to-end object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Deformable DETR: Deformable transformers for end-to-end object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.342820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea6f76cf-a076-4061-85a5-cec271a0a6b1 · outbound

This paper cites Srp-uod: Multi-branch hybrid network framework based on structural re-parameterization for underwater small object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Srp-uod: Multi-branch hybrid network framework based on structural re-parameterization for underwater small object detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.308297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb5a0920-1e79-4d75-80d7-776ba9c128ed · outbound

This paper cites Sod-uav: Small object detection for unmanned aerial vehicle images via improved yolov7,.

Multi-Point Positional Insertion Tuning for Small Object Detection Sod-uav: Small object detection for unmanned aerial vehicle images via improved yolov7,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.279231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d2b02cb-46a3-4d1b-bf47-75d8e6a09fbf · outbound

This paper cites Small object detection on the water surface based on radar and camera fusion,.

Multi-Point Positional Insertion Tuning for Small Object Detection Small object detection on the water surface based on radar and camera fusion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.233884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2498221-0a3d-4362-92f4-ed096ea76687 · outbound

This paper cites Dynamic local and global context exploration for small object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Dynamic local and global context exploration for small object detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.202516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18225167-95ec-40c3-8340-287e14970cbc · outbound

This paper cites Parameter efficient transfer learning for various speech processing tasks,.

Multi-Point Positional Insertion Tuning for Small Object Detection Parameter efficient transfer learning for various speech processing tasks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.167147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63f61e7b-93ba-43e4-ba1b-dda3b82258fc · outbound

This paper cites Attention is all you need,.

Multi-Point Positional Insertion Tuning for Small Object Detection Attention is all you need,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.083497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9f4865f-b303-4172-9a12-ac0d79b3eb41 · outbound

This paper cites Layer normalization,.

Multi-Point Positional Insertion Tuning for Small Object Detection Layer normalization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.050636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8db322c1-ca7d-4951-ad62-255ac5a17666 · outbound

This paper cites GLU Variants Improve Transformer.

Multi-Point Positional Insertion Tuning for Small Object Detection GLU Variants Improve Transformer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:02.403102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7eb9e4-788a-4133-a955-d23538941362 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Multi-Point Positional Insertion Tuning for Small Object Detection Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:03.020851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6cf62692-de5c-49e2-baa3-54d80bdf5670 · outbound

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

Multi-Point Positional Insertion Tuning for Small Object Detection Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:02.453568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7073640c-a344-4d4f-bc3f-d39defdcb01d · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

Multi-Point Positional Insertion Tuning for Small Object Detection Objects365: A large-scale, high-quality dataset for object detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:02.951130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e071d715-e2d7-4a0c-ad38-0b9e8982ee50 · outbound

This paper cites Mdetr-modulated detection for end-to-end multi- modal understanding,.

Multi-Point Positional Insertion Tuning for Small Object Detection Mdetr-modulated detection for end-to-end multi- modal understanding,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:02.923747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e0e7297-e8de-411b-a1f1-90487148c5af · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Multi-Point Positional Insertion Tuning for Small Object Detection Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:02.501964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8ddf419-a38b-4f1b-a1ca-fc0e04bee48b · outbound

This paper cites V3det: Vast vocabulary visual detection dataset,.

Multi-Point Positional Insertion Tuning for Small Object Detection V3det: Vast vocabulary visual detection dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:02.890329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.