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Paper Citation Record · LEDGER

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2

As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.08548.

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

pith.paper-citation-record.v1
2507.08548 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:22:03.700313Z

measured 12 of 12 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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd2630ab-d29e-4d2d-97df-4372f9e52958 · outbound

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

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:02.691583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:02.691583Z digest=sha256:05c0ddd1d95e905c35d5f57ce2ff86afc9521acb2ff74a1502f6f7be2d4086fb

Observation 2d2cea7a-a71c-4946-9482-a011f3dac24c · outbound

This paper cites A N ew A pproach to L inear F iltering and P rediction P roblems, 1960.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 A N ew A pproach to L inear F iltering and P rediction P roblems, 1960

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:22:04.489902Z

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=arxiv_source observed=2026-08-06T18:22:02.752233Z digest=sha256:9b01a775bb5675a80eb804273065826fc242a00e0419a5b55aa5f50b0237fc1c

Observation 2650f388-cd36-44bd-837f-77246884e793 · outbound

This paper cites Segment A nything.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 Segment A nything

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:22:04.343236Z

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=arxiv_source observed=2026-08-06T18:22:02.806288Z digest=sha256:efbed786e21be84f5ada222f2a0bfe280a0095019e432b8774be864ff78a7ca6

Observation 95cac272-353f-45a9-9e95-5a781ca7dd87 · outbound

This paper cites The F irst V isual O bject T racking S egmentation VOTS2023 C hallenge R esults.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 The F irst V isual O bject T racking S egmentation VOTS2023 C hallenge R esults

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:22:04.155636Z

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=arxiv_source observed=2026-08-06T18:22:02.893633Z digest=sha256:3bf44d44db03e7ffffb370617cc1668866503c800fefac8381aece739ab00c20

Observation 05eb3d49-5822-4733-bc7b-14baaf1ba5c9 · outbound

This paper cites Deep L earning for V isual T racking: A C omprehensive S urvey.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 Deep L earning for V isual T racking: A C omprehensive S urvey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:02.998133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:02.998133Z digest=sha256:c1e05227ab8dc1d679282b7daedf1f5842908d183f5c92bc38c3e0a562130bd2

Observation 0a4b67db-105b-4c62-88d4-854229079d7a · outbound

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

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 SAM 2: Segment Anything in Images and Videos

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.104662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.104662Z digest=sha256:cd19d7c5f4b67c6be22d4cddc76b4bb3026d29a2a15607002a81c06066994eb0

Observation b2e5c341-216a-4c28-9289-0d704b1da705 · outbound

This paper cites Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.200784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.200784Z digest=sha256:aa0fd962d160469c4b26b57792982a47952acab09a665088e371ccd5fb7fd601

Observation db0b8b04-45d1-4171-86f7-31b308badbca · outbound

This paper cites Proximal Policy Optimization Algorithms.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 Proximal Policy Optimization Algorithms

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.297394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.297394Z digest=sha256:4b2a5ab9331783b14ee9cfbb47ee4977a71fda4a5dd4204df30210648feb3d9f

Observation 78bca6da-90de-40f9-ae44-3e5b69b0e55b · outbound

This paper cites A Distractor-Aware Memory for Visual Object Tracking with SAM2.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 A Distractor-Aware Memory for Visual Object Tracking with SAM2

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.406039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.406039Z digest=sha256:a2534de887dcd1cc331eca8c52054f2a4806ec952c8fb2360006a71025481296

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

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

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
unresolved
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:dfd30953a6e78288eac0dfe454fdc0cec65e2e77ddfd551a518fb86c8301cadc

Observation 1a02e3be-8380-4c7b-88da-7b44d4598de1 · outbound

This paper cites MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.615112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.615112Z digest=sha256:b80118a2b0e5106d430f10587a8d02154fe8e7a046c5feaf5a2060b74c2805bc

Observation 0e787c96-7d1d-4b26-846c-fca398d1c877 · outbound

This paper cites write newline.

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2 write newline

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:03.700313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:22:03.700313Z digest=sha256:f84fab2c2ecd082a123744193b1cbc2ca4bb62e1eb778bf59cae8907620f0056

Pith citing papers

No inbound Pith citation observations are available.