Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.18111.

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

pith.paper-citation-record.v1
2505.18111 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:38:37.117962Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ea79caf-af54-40ca-b4f0-8138e419fe76 · outbound

This paper cites In: Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II 14.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II 14

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:40.357007Z

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.

source=pdf_text observed=2026-08-07T14:38:35.047173Z digest=sha256:86af9cea91b57f0c8acc9301f0e16d7b38aa33e3dbb76de2466903bc6a6c8650

Observation 6fd0b684-bb63-4027-90ca-07e8dc68c941 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:40.086462Z

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.

source=pdf_text observed=2026-08-07T14:38:35.130572Z digest=sha256:504d4c1ed5d05ae1c548f5df115e7e2ee8b9287152a32de100a3859cbc00bb71

Observation 89ef4ddd-0a0f-4e0d-a7b2-c6191724b083 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(3), 3072–3089 (2023).

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence45(3), 3072–3089 (2023)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:39.839744Z

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.

source=pdf_text observed=2026-08-07T14:38:35.267154Z digest=sha256:f2f86fda7c4fd6760c434acacbacdb7173a7516d5bcd15c37475c2c1bd290e19

Observation f2ceb01a-c7ce-451d-b481-48f9ef476b47 · outbound

This paper cites MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:35.405403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:35.405403Z digest=sha256:32eb60740301b9b81a6680ec1e1a9dbc1253aee2e655ac8c2f9d70589168f182

Observation cf36bdb2-7cba-4965-ac6a-50fd2ae1e8cb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:39.590452Z

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.

source=pdf_text observed=2026-08-07T14:38:35.555020Z digest=sha256:d4ca5906a9fa505c1f0c15fe3264e54b2af052808b003bfac226eb90a62b8dd2

Observation da10a817-1cef-4970-b02b-2aa2d2de95ac · outbound

This paper cites In: CVPR (2023).

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: CVPR (2023)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:39.361276Z

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.

source=pdf_text observed=2026-08-07T14:38:35.631883Z digest=sha256:d1e1ca8ef891bd5d6550c4a81d524083c839614d824179444a79a666ba9d7256

Observation b4e0bb65-6775-428d-9460-c8c9ef8daec9 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:35.696918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:35.696918Z digest=sha256:28992e164d6ba8dca78a597021a97539bfa88ef67645bcd582ab6573035af2b1

Observation 9a8f3d9e-3fa7-4a97-8fbf-2573f2c41b82 · outbound

This paper cites In: 2024 IEEE Intelligent Vehicles Symposium (IV).

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: 2024 IEEE Intelligent Vehicles Symposium (IV)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:39.144330Z

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.

source=pdf_text observed=2026-08-07T14:38:35.783863Z digest=sha256:7532767b3032f6008144ef7a358f91d9bd8b03e0ac440c1e5b35ddd304f2e070

Observation ce5c245e-12ea-413a-9462-4272fefa88ef · outbound

This paper cites In: Proceedings of the IEEE conference on com- puter vision and pattern recognition.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE conference on com- puter vision and pattern recognition

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:38.917085Z

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.

source=pdf_text observed=2026-08-07T14:38:35.905160Z digest=sha256:e783a584d53fb0f6b6172bdbb3db95cb40eb0dd12d94a5f33862771503086b44

Observation e89045f5-ec82-4692-8051-c464242125d6 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:36.052280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:36.052280Z digest=sha256:abb076f87213a466e0a81e5689332d9c1d509743c8b113846068bbc1f0810803

Observation 4326588e-edbf-4d3b-ba4c-725afcdc7059 · outbound

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

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking SAM 2: Segment Anything in Images and Videos

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:36.186601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:36.186601Z digest=sha256:6538f99596c68dcef9566d0325c191f6d58d60c4c6108de5dec1bb9082df8d7b

Observation c0768b06-29e5-4d95-b865-b5f411dd8baa · outbound

This paper cites In: Proceedings of the Asian Conference on Computer Vision.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the Asian Conference on Computer Vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:38.666387Z

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.

source=pdf_text observed=2026-08-07T14:38:36.283809Z digest=sha256:51def9ce02f992c2abd042766f958e333f2cdb4c82a29998b55400c524a410d1

Observation 400ce540-f2ce-483b-89cb-73e9c7eb96e7 · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:36.385178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:36.385178Z digest=sha256:6d0d0b3e4636350611e422581591e3b97089e7bfd6877fcd81710ca6e4c87754

Observation d7c2ca9f-8a88-4ce0-905c-1df6c54370b4 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:38.430368Z

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.

source=pdf_text observed=2026-08-07T14:38:36.496495Z digest=sha256:e576798ba39196ad76590c16cc155675282b17659d8dfe9434909d3faa8e1b1d

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

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

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

Resolution
unresolved
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 4b96c7cf-f8e2-4474-9461-2c493b3c7c94 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Appli- cations of Computer Vision.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF Winter Conference on Appli- cations of Computer Vision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:38.124889Z

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.

source=pdf_text observed=2026-08-07T14:38:36.749632Z digest=sha256:ed5bc9cf137f60bf43949ffbbd5934ce3d77077852f28fc95ae69cafef803280

Observation 3fcadcc9-c366-44ca-8f83-892b9678bbcf · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:37.854770Z

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.

source=pdf_text observed=2026-08-07T14:38:36.870419Z digest=sha256:40e03f515f3125d4a4e9d138b44377712ec069b6acb93da051ce3346e502ee0f

Observation e8298623-0a71-49eb-89fc-b9bcb987197e · outbound

This paper cites In: Proceedings of the IEEE/CVF International conference on computer vision workshops.

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF International conference on computer vision workshops

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:37.648970Z

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.

source=pdf_text observed=2026-08-07T14:38:36.995282Z digest=sha256:410245f22edae0132a15f4980a3bb1a5378a06e8972687fe4deca5291e7533db

Observation a6dcf130-6736-4902-bf64-cd7862b9ef6e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:38:37.429833Z

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.

source=pdf_text observed=2026-08-07T14:38:37.117962Z digest=sha256:d27abdf5d63d8bd636524545690275cf3938bad24c8b07a2bfe6482e19e2b781

Pith citing papers

No inbound Pith citation observations are available.