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Paper Citation Record · LEDGER

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2411.11922.

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

pith.paper-citation-record.v1
2411.11922 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:40.832814Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

10
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df69cfb1-c9d2-454f-90be-7110b3926b06 · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 230

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arxiv_id, observed 2026-05-10T23:38:46.101259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:b1e5c5154f4fe6e1c00ebb791aa6865ece6ebc7beee2c6f46ee41645518a1170

Observation f8436d76-6eb0-4746-bec4-920f0928f311 · inbound

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation cites this paper.

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 103

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no resolver link, observed 2026-08-07T14:39:40.832814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:40.832814Z digest=sha256:6c334356756358a4902db713bc8b3e4bf49a94f57660fa78ed60bee925fb99d0

Observation 592e8db7-16a2-4b95-bf0e-0fa687f063f1 · inbound

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking cites this paper.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 15

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no resolver link, observed 2026-08-07T14:38:36.620001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:36.620001Z digest=sha256:0f5d9e14b73f6215765c241e72874881a5c11fdf4627865346fb2f9aeae21c28

Observation 1f06af49-3be1-4c6d-b98c-c8c3f86b6ab7 · inbound

THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation cites this paper.

THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 23

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no resolver link, observed 2026-08-07T05:53:10.440098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:10.440098Z digest=sha256:40ac3637c72c42821c01e29efb22518cd54a60ccf82cf1045e94ce6280efcd0e

Observation 8156ef08-446b-4bc4-b78f-8e24574392c4 · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-17T14:08:35.529271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T14:08:34.893876Z digest=sha256:eec097d7a7e916978a17ee8224e8ed18cdee78fb3586d98af43ed9fbb8ffe659

Observation 91865441-40b6-4d31-815a-8430882d1fca · inbound

HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking cites this paper.

HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 32

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no resolver link, observed 2026-08-06T18:41:08.260277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:41:08.260277Z digest=sha256:3e078f1df6d899a8113d848ab3c2849d57bcfe04e1127b4b1aa0ea608d3c1444

Observation 96fa4e76-1556-4046-93ce-99abd5080994 · inbound

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 cites this paper.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 10

Resolution
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no resolver link, observed 2026-08-06T18:22:03.534727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.534727Z digest=sha256:e6a9df6b75ac2be29734dafffa34b92f7c99bb4d1c1bdd9e7780dab5a486567c

Observation 0143ceaf-ac61-41b2-b013-670b1c30be19 · inbound

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking cites this paper.

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 73

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no resolver link, observed 2026-08-06T15:46:27.716355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:27.716355Z digest=sha256:2a0cf70d1222bd961c963b3b59bb4d860e97e6b20a6c0be2ab8589889eeaf6b6

Observation 5fec0903-9c14-401e-a7e2-c2fc984aa0c4 · inbound

Is Tracking really more challenging in First Person Egocentric Vision? cites this paper.

Is Tracking really more challenging in First Person Egocentric Vision? SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 58

Resolution
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no resolver link, observed 2026-08-06T15:25:59.412055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:59.412055Z digest=sha256:02d33490d7d594a3f6d8316b37b3776f10fc1b1ad8210cc2416ebaf6a9dc2544

Observation 5de93053-368f-4076-a270-43c23e2569d3 · inbound

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking cites this paper.

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 50

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no resolver link, observed 2026-08-06T12:33:52.639899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:33:52.639899Z digest=sha256:c6e8e1fec698e86c0d00ced6cb238fb3435852811d22d28169c02d960f80f919

Observation 7a0af24f-033b-494e-82a2-51bacd051e66 · inbound

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation cites this paper.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 43

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no resolver link, observed 2026-08-05T15:38:04.668203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.668203Z digest=sha256:673bb06f4284d2fd69ecf63271804b58885d11138e7c757d97487623f70ac24c

Observation a3f02956-f0d1-4161-862a-3e1a2bff626e · inbound

HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization cites this paper.

HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 43

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no resolver link, observed 2026-08-05T13:44:11.339769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.339769Z digest=sha256:f0fb00c0c600430f41ab81039ff6db67c15136b2f3fd6364ae45980ba0c6654f

Observation 07863d9e-90b7-4ec3-ab0c-cf0e0ea23b2c · inbound

Zero-Shot Multi-Animal Tracking in the Wild cites this paper.

Zero-Shot Multi-Animal Tracking in the Wild SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 35

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no resolver link, observed 2026-08-04T00:10:00.604587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:10:00.604587Z digest=sha256:10284a833732bd167b00101baf24c4952665d7cc7e378ffafde8ce77fc546054

Observation 9e220242-c34f-4058-bf0a-10d6acb5ee61 · inbound

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking cites this paper.

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 51

Resolution
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no resolver link, observed 2026-08-03T21:12:07.077803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:12:07.077803Z digest=sha256:0ad25c0f969573799ddbca9e5b8c67576a88c565fbbe62b5801b51843291dd6b

Observation 464c6dcc-69bc-4cd2-8360-bdc8f180a9ca · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 147

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verified exact
arxiv_id, observed 2026-05-17T20:25:11.484871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T20:22:46.220021Z digest=sha256:2e244820609221a579fe2d252f62994ee99c2ec487652215bab618fd40cfcdc3

Observation 03c05f3b-8e75-4f05-8c6e-16f03ab631e5 · inbound

3AM: 3egment Anything with Geometric Consistency in Videos cites this paper.

3AM: 3egment Anything with Geometric Consistency in Videos SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 98

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arxiv_id, observed 2026-05-16T14:21:01.686673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:19:34.641108Z digest=sha256:b6acb2eeeb6252457afb7cf018c0565a42ecd7dfb8cd0638e0792cac5db17ceb

Observation 994fd592-db7c-4d40-b11b-2955d5f4050a · inbound

Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering cites this paper.

Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 18

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verified exact
arxiv_id, observed 2026-05-16T09:47:41.860275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:45:53.868748Z digest=sha256:05c1c23b343b1c67fb86c40376cbdb52bc9074fd918ca06416e4112869500887

Observation 03ead925-7d59-4c8a-88bf-38fd76f7ed16 · inbound

HVG-3D: Bridging Real and Simulation Domains for 3D-Conditional Hand-Object Interaction Video Synthesis cites this paper.

HVG-3D: Bridging Real and Simulation Domains for 3D-Conditional Hand-Object Interaction Video Synthesis SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 75

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arxiv_id, observed 2026-05-14T00:18:30.132648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T00:14:36.537688Z digest=sha256:2d828eedad0bd69da1f4c4719c9c8c5881cbdc4ef49147e52e7b7da3123c4499

Observation 1a0b3009-576c-4ccc-a766-5c5937d26588 · inbound

HOIGS: Human-Object Interaction Gaussian Splatting cites this paper.

HOIGS: Human-Object Interaction Gaussian Splatting SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 48

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arxiv_id, observed 2026-05-13T17:28:02.542468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T17:24:50.043908Z digest=sha256:bd82813fccdc6d0bf2bc143c05701114d5e1f327a93223d13a59863b6658afed

Observation eefd7564-63b1-41f3-83e5-852c1c3cc0ed · inbound

4D Vessel Reconstruction for Benchtop Thrombectomy Analysis cites this paper.

4D Vessel Reconstruction for Benchtop Thrombectomy Analysis SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 42

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verified exact
arxiv_id, observed 2026-05-10T20:25:46.930402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:16:38.725224Z digest=sha256:88f1b63d5e085d428cab30cb05426ff75cc27074f29721c4748d4de152c2541f

Observation 6fc81412-d66f-4b21-b63d-41c75667cc03 · inbound

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking cites this paper.

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 34

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verified exact
arxiv_id, observed 2026-05-09T06:20:42.565832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:32:38.644948Z digest=sha256:37ee9ff8069030f5be3adbcde074986eb59ee6e66b53637f2b684d4374816fce

Observation 4336d58e-4262-4276-987f-9ce5c2f80f3c · inbound

Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking cites this paper.

Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 36

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arxiv_id, observed 2026-05-22T06:21:10.620576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T06:19:30.380438Z digest=sha256:a14756c8846a69cbbd1b6abf6477c27e12203df838a2caa81d81fa9d9192bcec

Observation 353dfcfb-7ac6-40f6-b099-daa7a30f641e · inbound

Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection cites this paper.

Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 65

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arxiv_id, observed 2026-06-29T18:13:49.309179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T05:13:51.469018Z digest=sha256:376c0fb4a72b0eb98ec753832b2f178ca3bea3f99202ca810176976131339a68

Observation e22c3c29-eab2-410f-90d5-cd19a7e1716e · inbound

SUMO: Segment and Track Any Motion with Nonlinear State Space Models cites this paper.

SUMO: Segment and Track Any Motion with Nonlinear State Space Models SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 63

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arxiv_id, observed 2026-06-30T06:44:19.468864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:37:27.783172Z digest=sha256:2a067df86eb78827aa3dba2f27b75ec1ff4d8894dbf7d33e0905cfe801b15101

Observation df158df1-66b3-4c15-8e00-63a9bffddb3a · inbound

SAM-MT: Real-Time Interactive Multi-Target Video Segmentation cites this paper.

SAM-MT: Real-Time Interactive Multi-Target Video Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 13

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local_arxiv, observed 2026-07-10T03:06:43.593613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T03:04:57.109924Z digest=sha256:bb78f5f7a7e93b68a9c200b49878cb7f400643c9e14958259699d247c0252879

Observation e7e59353-1601-43bf-a8ba-dfaa5d970eaa · inbound

Efficient Tracking and Understanding Object Transformations cites this paper.

Efficient Tracking and Understanding Object Transformations SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 44

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no resolver link, observed 2026-08-01T11:55:12.500740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:55:12.500740Z digest=sha256:962beae296430725a6684703bf6f2e9d6363f1d1eb0733593edf2d06fffa74d1

Observation b18d6867-db27-4f40-8d7e-8f3f21b6abdb · inbound

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 cites this paper.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 13

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unresolved
no resolver link, observed 2026-08-01T11:43:11.608780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:43:11.608780Z digest=sha256:d424195c7ba48219d2dea3bf77a97f04bc3e50d10d713d97c8838538e7fe6a8d