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Paper Citation Record · LEDGER

Efficient Track Anything

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 4 inbound Pith citation observations for arXiv:2411.18933.

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

pith.paper-citation-record.v1
2411.18933 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:47:49.969731Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:34:51.835945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:43:23.351898Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a27d9526-0c10-470d-acfb-fc3ada1abe07 · outbound

This paper cites Longformer: The Long-Document Transformer.

Efficient Track Anything Longformer: The Long-Document Transformer

Reference 1

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no resolver link, observed 2026-08-12T10:47:49.842643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.842643Z digest=sha256:bcd1b9fc1daf2ae2fcb8f8d2b3675ee13405c00cffa494918600f4d6cc4e60b0

Observation 9e4fca33-7186-4e58-a5dd-e966754047c1 · outbound

This paper cites Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Efficient Track Anything Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Reference 6

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no resolver link, observed 2026-08-12T10:47:49.861675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.861675Z digest=sha256:7697ce10ec2a0c01a0ea2769bccdf3cac962b4b7e41c5117b1e9def0deb4a0c1

Observation 5a0e924b-cfea-4323-87fc-989029b17d28 · outbound

This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.

Efficient Track Anything SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 7

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no resolver link, observed 2026-08-12T10:47:49.865332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.865332Z digest=sha256:2a470d089ede46510c1e062561f1b055d38e2f8c97b1c3f4409030126170539f

Observation a27fa9fc-e6f6-494f-8456-79841f1a54f3 · outbound

This paper cites Efficient hierarchical graph-based video segmentation.

Efficient Track Anything Efficient hierarchical graph-based video segmentation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.409820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.871886Z digest=sha256:232d9209e9b19ee7137ec912b83fa5eebe17fe9ef31c9f901a1811d7196e4a59

Observation f8ed993c-1b0f-405d-8e80-0fc7613200f5 · outbound

This paper cites Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected.

Efficient Track Anything Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.875720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.875720Z digest=sha256:a3687abeedb44dd28a70aa30dfdc3c5f1926b24522699a8e17c837ae1d8f0f17

Observation df86c5d4-17f0-4172-bef3-2a3ce46ca05d · outbound

This paper cites Interactive video object segmentation using global and local transfer modules.

Efficient Track Anything Interactive video object segmentation using global and local transfer modules

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.398571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.879142Z digest=sha256:3aa9c5eb813e91fb34048f95c8439b96d8afebc4beb0062baa76baad95e3693f

Observation ad4eaea7-f47e-4df0-8077-b62a76716f5e · outbound

This paper cites VideoClick: Video Object Segmentation with a Single Click.

Efficient Track Anything VideoClick: Video Object Segmentation with a Single Click

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.882157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.882157Z digest=sha256:a1f99ab08b23db49e61f8d8805f69ee771347ce20fcda16d7b211f1c81f53b81

Observation bdc1088b-0d3d-49d3-bda7-f675c856a976 · outbound

This paper cites LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation.

Efficient Track Anything LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation

Reference 13

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no resolver link, observed 2026-08-12T10:47:49.885539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.885539Z digest=sha256:5a993922820e3282bdbc5db49f3b08436153045ec30699c8963d4422121fbbe9

Observation 6f059f0e-1243-4ccd-85ef-5a336e5cd1ec · outbound

This paper cites Restore Anything Pipeline: Segment Anything Meets Image Restoration.

Efficient Track Anything Restore Anything Pipeline: Segment Anything Meets Image Restoration

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:47:50.258344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.889132Z digest=sha256:03a06e1b2063184b5c3ebee9be63794b9bc894a10e91ab0c0d47c13041279c4c

Observation d7749796-35fb-4408-a6da-1cae5a60bc0e · outbound

This paper cites Segment Anything Meets Point Tracking.

Efficient Track Anything Segment Anything Meets Point Tracking

Reference 20

Resolution
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no resolver link, observed 2026-08-12T10:47:49.909144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.909144Z digest=sha256:5c752a4cc2d849c23fd8ee162a4fd3be46bff098a2e2d533b595035766da94db

Observation d2182e08-79fc-44c2-b8b7-a91892191ee8 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Efficient Track Anything SAM 2: Segment Anything in Images and Videos

Reference 21

Resolution
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no resolver link, observed 2026-08-12T10:47:49.912478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.912478Z digest=sha256:46bedab5b650f9b118a5e0c49a8c0abe66622cc006cd81da198b4e1a2b31ad70

Observation 27dc0dba-a6a5-4cc1-8ce3-3f5d50136430 · outbound

This paper cites Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation.

Efficient Track Anything Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

Reference 22

Resolution
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no resolver link, observed 2026-08-12T10:47:49.915828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.915828Z digest=sha256:387f5f7784782a2f4a3ae21e19b6376bb1fb2868512d830d84521fa05e6aba57

Observation 0b02447e-afa5-4897-b7eb-6b2451ba3a83 · outbound

This paper cites Efficient Attention: Attention with Linear Complexities.

Efficient Track Anything Efficient Attention: Attention with Linear Complexities

Reference 23

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no resolver link, observed 2026-08-12T10:47:49.919122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.919122Z digest=sha256:2c709159c4c69405439414a3214c5cffd36f51f203b25ef91960f173c345b6cd

Observation 65d28a1b-dd1f-456d-9379-c2f469406fb4 · outbound

This paper cites Segment Any Mesh.

Efficient Track Anything Segment Any Mesh

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.925401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.925401Z digest=sha256:0d3391ebb9f883b181400218b87ed3a441b78e15105a550b1521b0db82565dcf

Observation 1293d61a-7df5-4c3d-9122-b77fd1ae90df · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

Efficient Track Anything Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 26

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no resolver link, observed 2026-08-12T10:47:49.929237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.929237Z digest=sha256:09a8c3fb84fb82ed744117e22955143e31efbde3b05d1cdb970c60db20329949

Observation bfab8ed8-0bfc-427d-b283-d5386fff85f1 · outbound

This paper cites Segment Anything Meets Semantic Communication.

Efficient Track Anything Segment Anything Meets Semantic Communication

Reference 27

Resolution
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no resolver link, observed 2026-08-12T10:47:49.932428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.932428Z digest=sha256:a8b7eb1a8bf0090d8912e18d16bd8eaf32114c6235c53886a001edfcba379a75

Observation 7e559135-cd98-4e75-a495-f0930a374b69 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Efficient Track Anything Linformer: Self-Attention with Linear Complexity

Reference 28

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no resolver link, observed 2026-08-12T10:47:49.935726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.935726Z digest=sha256:ffbf7e4c4a519e02e842b526555c2404cf8bfd343491679659f7ac0c23db894d

Observation cff2698f-9dad-4b60-bf3e-626209ab2f6a · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.arXiv preprint arXiv:2408.08870, 2024a.

Efficient Track Anything Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.arXiv preprint arXiv:2408.08870, 2024a

Reference 29

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no resolver link, observed 2026-08-12T10:47:49.939048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.939048Z digest=sha256:483750eea1c71f11b1a7f82ddcba28d2d190de9d584dc3e5d4b220c6e194fb18

Observation b3b2c3fb-9a64-4057-94c6-006bb6eecd67 · outbound

This paper cites Track Anything: Segment Anything Meets Videos.

Efficient Track Anything Track Anything: Segment Anything Meets Videos

Reference 30

Resolution
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no resolver link, observed 2026-08-12T10:47:49.942086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.942086Z digest=sha256:61e02a40ce17089c12ffd893b330f4e0ed92b61371dbb6f1da4cedbaaa412515

Observation fd7fa7fc-8a6c-48e7-8df9-cd4ca05af031 · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

Efficient Track Anything Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 31

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no resolver link, observed 2026-08-12T10:47:49.945242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.945242Z digest=sha256:f3fedfdf53cba0e78d3c904b991057083fbcc351d4217eff86e4564f9acc1cf9

Observation 800e439e-5da5-42b4-9859-b1700086b25d · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

Efficient Track Anything Big Bird: Transformers for Longer Sequences

Reference 32

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unresolved
no resolver link, observed 2026-08-12T10:47:49.948570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.948570Z digest=sha256:5fb61455b34a7502de8c0b46b2ee8e2b38a91520a626de4c02ff75e056b5e8f9

Observation 95ae323d-e8de-4847-998f-9205742f3753 · outbound

This paper cites Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation.

Efficient Track Anything Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.956523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.956523Z digest=sha256:3d6ba9ddfe14afcbfac0e05be9d6cffbe318e070c7f011997abd434323626c6b

Observation a2327d38-1a8a-4795-a4a0-1d14f46aa236 · outbound

This paper cites When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation.

Efficient Track Anything When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation

Reference 35

Resolution
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no resolver link, observed 2026-08-12T10:47:49.959875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.959875Z digest=sha256:7097f28ba86ef1729175a608a42413618983041e7b79ad36861cf76835398b7e

Observation d13a96eb-cc49-4751-bee0-875b519a4ed7 · outbound

This paper cites an unresolved cited work.

Efficient Track Anything Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:47:50.377142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.963548Z digest=sha256:2f1947f726f4457cddcdbaae8f82da0fdd51151ccfdcfd600d2e4a0b455a4f05

Observation a5cc4970-da28-4a59-898a-514d9091b964 · outbound

This paper cites This demonstrates that object pointer tokens need to be cross-attended with spatial tokens.

Efficient Track Anything This demonstrates that object pointer tokens need to be cross-attended with spatial tokens

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.367198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.966534Z digest=sha256:fd1b895c5d788c4e18caed234e799450d2fedae5ef272c5d02d266dc65c3a57d

Observation f9ca029d-0117-48c8-883d-b1259c67c722 · outbound

This paper cites 19 Cross-Attention MOSE dev DAVIS 2017 val SA-V test Local-windowed 75.4 88.6 72.4 Pooling 76.5 88.6 74.0 Table 8 Comparing with local windowed attention.

Efficient Track Anything 19 Cross-Attention MOSE dev DAVIS 2017 val SA-V test Local-windowed 75.4 88.6 72.4 Pooling 76.5 88.6 74.0 Table 8 Comparing with local windowed attention

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.356181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.969731Z digest=sha256:bc0af06264647ac482ce9757f7d05afc347d3187fa579f32a9c17a455e5ce303

Observation 033ef77a-aed5-44a1-b48f-d80d1339dedc · outbound

This paper cites Key-segments for video object segmentation.

Efficient Track Anything Key-segments for video object segmentation

Reference 1989

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.388515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.892500Z digest=sha256:ee0fc816ef00ddd0f74868c15b3cfc251de7c3f13953fde1d0ac73112f46824e

Observation aceaa496-92dc-45be-837f-ad593c616a37 · outbound

This paper cites The 2018 DAVIS Challenge on Video Object Segmentation.

Efficient Track Anything The 2018 DAVIS Challenge on Video Object Segmentation

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.851054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.851054Z digest=sha256:30e9c0041713090469bb73ab79b2f0ea0fcfb75158d2933aadfb7bd67ff532c4

Observation d144eac8-0937-4c64-a1a0-d79f4e9e6d08 · outbound

This paper cites Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios.

Efficient Track Anything Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.895727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.895727Z digest=sha256:7fa48975f7bb8dbd2b346ab0ef85af119745cef5ee3b0391900e645b06631625

Observation 2deccbc6-71ee-4b9c-95b2-9a8281288d44 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Efficient Track Anything The 2017 DAVIS Challenge on Video Object Segmentation

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.902442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.902442Z digest=sha256:3269ca3767ac6a6254654fc02c376ffc4a9435b38afa36d949c9f2462b6603e3

Observation 32c283f3-dfdd-453e-b314-bce36d3b0f98 · outbound

This paper cites MobileNetV4 -- Universal Models for the Mobile Ecosystem.

Efficient Track Anything MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.905803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.905803Z digest=sha256:945c0b6a1745b50fac9d95ae1b88cf2d05129666942fc880432f9c82f7872c5a

Observation 10274c17-02de-4fc3-9c8a-d449b1d6a765 · outbound

This paper cites Explain Any Concept: Segment Anything Meets Concept-Based Explanation.

Efficient Track Anything Explain Any Concept: Segment Anything Meets Concept-Based Explanation

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:47:50.163450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.922276Z digest=sha256:a8962fce103d6ef8c41da646c08f5f57f5dd1864bdbff4637b6801a372e00321

Observation ae5ed1fa-0ded-4a58-a1a8-616cc70da6a7 · outbound

This paper cites Segment Anything in Medical Images.

Efficient Track Anything Segment Anything in Medical Images

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:49.898931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.898931Z digest=sha256:79ff1d89f6f964eba797be645077dbb910d13d6b96782c5b75649c726536f563

Observation 94378cbd-78e9-4a2b-ab3c-4f70b8477047 · outbound

This paper cites Learning what to learn for video object segmentation.

Efficient Track Anything Learning what to learn for video object segmentation

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.430282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.847702Z digest=sha256:0f9df770ddb9ae882c5bb9dc3ed5aee39ac7d19632b67e3e041baffe2c68e70e

Observation db034f5f-7389-46f2-956f-0736953df3a0 · outbound

This paper cites Video segmentation by tracing discontinuities in a trajectory embedding.

Efficient Track Anything Video segmentation by tracing discontinuities in a trajectory embedding

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:47:50.420405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T10:47:49.868649Z digest=sha256:eab1d0b7f47711949789a75294fdb6f917a0bbfd7fbcf3d7e1f0f390a7bcfc4c

Observation 565657e4-ba5e-47f3-96c4-406ef5e88da6 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

Efficient Track Anything Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 2022

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unresolved
no resolver link, observed 2026-08-12T10:47:49.951985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.951985Z digest=sha256:bba1c83f9f5ceedca73bc34733ed362f4b01e73384a4d1fdb668132209e4f90b

Observation 8d02a4ac-2e8c-4cf3-ae15-e766cedf5c85 · outbound

This paper cites SAD: Segment Any RGBD.

Efficient Track Anything SAD: Segment Any RGBD

Reference 2023

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unresolved
no resolver link, observed 2026-08-12T10:47:49.854674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.854674Z digest=sha256:32d9f78dc63a69b798217c788c9d21134af6e5ed70f924a3e2b1a5f3da062a32

Observation d097148f-7ddc-45f9-9f53-115a1f6afc55 · outbound

This paper cites Segment and Track Anything.

Efficient Track Anything Segment and Track Anything

Reference 2024

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unresolved
no resolver link, observed 2026-08-12T10:47:49.858130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.858130Z digest=sha256:25bbafc8d1ffda5617a8cadacb81b8bd44c9b525e9cccbe3579c1033bd02543f

Pith citing papers

Observation d6c3127b-2d87-4d67-893f-e9aa09305c46 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Efficient Track Anything

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.355034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:5507ba2f3b3393e5edf11b1043b5d1e19c2d18a1ea5eb79f68bdbf8e88f201bd

Observation 8f3a1dd1-010a-47c2-9401-55bfe408522f · inbound

SAM2Auto: Auto Annotation Using FLASH cites this paper.

SAM2Auto: Auto Annotation Using FLASH Efficient Track Anything

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:57.597591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:57.597591Z digest=sha256:397ee68fdbf23493dc384d5484b37718f242c4ecf29d95b53b1263cb3dc77cc8

Observation 6ccff48d-ab5b-4bba-9796-37b94cab6939 · inbound

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking cites this paper.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Efficient Track Anything

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T21:43:19.755957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:43:19.755957Z digest=sha256:4a9b6b8404b4ce77752300a6086a0ed82c34b1f6a0f3e8576be26e4f44775146

Observation f983b7c7-7860-4d5c-a75c-1b28ee7fcbc0 · inbound

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC cites this paper.

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC Efficient Track Anything

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:51.835945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:51.835945Z digest=sha256:cd8c8a6773feee36adcad8e091b50b6b156a279ba8c30dea0a0b74aaaf0c44ee