Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:46:45.593352Z
Paper Citation Record · LEDGER
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios
As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2604.22162.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact3
- verified fuzzy19
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 130c6e39-85b9-45ce-85f2-71d7bcb55f84 · outbound
This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:19.708660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 232eba61-32da-4564-951e-248620f45039 · outbound
This paper cites Observation-centric SORT: rethink- ing SORT for robust multi-object tracking.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Observation-centric SORT: rethink- ing SORT for robust multi-object tracking
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.078668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 060bb1aa-afb4-4745-b0f5-9da86abf1142 · outbound
This paper cites Price, Alexan- der G.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Price, Alexan- der G
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.070429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e2159d9-12c6-41c6-91cc-228106aa7dda · outbound
This paper cites Sportsmot: A large multi- object tracking dataset in multiple sports scenes.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Sportsmot: A large multi- object tracking dataset in multiple sports scenes
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.074544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b842754-4660-4639-be63-8d72caf9b13f · outbound
This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:19.692565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 618fe952-7720-436b-a161-44a3c0c95751 · outbound
This paper cites Strongsort: Make deep- sort great again.IEEE Trans.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Strongsort: Make deep- sort great again.IEEE Trans
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.082574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 821c4334-d121-4b66-9d32-a9467b03e50d · outbound
This paper cites YOLOX: exceeding YOLO series in 2021.CoRR.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios YOLOX: exceeding YOLO series in 2021.CoRR
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.090367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c098f2e3-3090-46dc-9743-27eed6796304 · outbound
This paper cites Iterative scale-up expansioniou and deep features association for multi-object tracking in sports.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Iterative scale-up expansioniou and deep features association for multi-object tracking in sports
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.094582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d9d15787-2fb2-4ebd-9897-9df99ea52d60 · outbound
This paper cites Sam2mot: A novel paradigm of multi-object tracking by segmentation.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Sam2mot: A novel paradigm of multi-object tracking by segmentation
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:19.682676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c08260f7-9ac0-4740-a13a-b522f71b93e2 · outbound
This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross B.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross B
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.105819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f6c6b320-ed56-43e2-9d5b-bab889bca778 · outbound
This paper cites Matching anything by segmenting anything.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Matching anything by segmenting anything
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.101991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf81fc5c-5cd2-4884-ad32-4c1f0fe078d8 · outbound
This paper cites Grounding DINO: mar- rying DINO with grounded pre-training for open-set object detection.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Grounding DINO: mar- rying DINO with grounded pre-training for open-set object detection
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.098618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a4943449-62a6-4c46-bf4c-73d7dd39962b · outbound
This paper cites an unresolved cited work.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:02:23.043645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f884bc9-e826-4748-93dd-a0ebab6aac54 · outbound
This paper cites Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.109961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 05b87ee2-56be-4d24-aa4c-6323453a1356 · outbound
This paper cites Motiontrack: Learning robust short-term and long-term motions for multi-object tracking.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Motiontrack: Learning robust short-term and long-term motions for multi-object tracking
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.047884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f60562c1-59c4-41b0-a0c5-ff897fec721c · outbound
This paper cites Towards generalizable multi-object tracking.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Towards generalizable multi-object tracking
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.066670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 569d941b-b974-4ba5-9d46-06f6555d08f9 · outbound
This paper cites Girshick, Piotr Doll ´ar, and Christoph Feichtenhofer.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Girshick, Piotr Doll ´ar, and Christoph Feichtenhofer
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.054249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 92804536-c2e1-44c2-832c-4ccd20a4ecbc · outbound
This paper cites Girshick, Piotr Doll ´ar, and Christoph Feichtenhofer.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Girshick, Piotr Doll ´ar, and Christoph Feichtenhofer
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.059232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1d40a7ff-0c3e-4ec7-808c-32fd89eca233 · outbound
This paper cites Zou, Rita Cuc- chiara, and Carlo Tomasi.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Zou, Rita Cuc- chiara, and Carlo Tomasi
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.118330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6ab50686-b6e5-4426-a1e6-6e66c9ce684f · outbound
This paper cites No train yet gain: Towards generic multi-object tracking in sports and beyond.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios No train yet gain: Towards generic multi-object tracking in sports and beyond
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.122225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dfbd9958-1a9e-4b66-be49-d266ecb7f0dc · outbound
This paper cites Raymond, and Pritam Chanda.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Raymond, and Pritam Chanda
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.126568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 63bd6329-da3d-462e-96c3-2b9075dda1c9 · outbound
This paper cites SAMURAI: motion- aware memory for training-free visual object tracking with SAM 2.IEEE Trans.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios SAMURAI: motion- aware memory for training-free visual object tracking with SAM 2.IEEE Trans
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.114048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation adb88e7e-6bf4-486a-84cf-d5c88fd8ade4 · outbound
This paper cites Bytetrack: Multi-object tracking by associating every detection box.
SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios Bytetrack: Multi-object tracking by associating every detection box
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:02:23.086471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.