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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:a3af4abdeb9b62790e7e4e4d2a2ecdd2f5addbf98d4d57f97ddf293640335d1d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:22:02.752233Z digest=sha256:f7da31abf870cf09b910d8036add35a80f3905c19c3b1a25aecec9964d35f051

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:22:02.806288Z digest=sha256:508f2215058cec0c8646bb6334ffaa22ba471c4b1aeeaeaa6ef9c1e73d609262

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:22:02.893633Z digest=sha256:f75943df9955f25d3bf12f5bc72241fa2ab594b1810b25706548086a1cb7f7fa

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=sha256:4e92ddefa2adfb466e5cc327e2ef57320993a64d6a7010b2386acc0af0cac962

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:ce5d0430ecd59be275295b8038ce7facf2512529b4ae1ad09a3494acd24eb962

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=sha256:654aa7b3810c957604286632f8deeef354883743ceb5785f8918fe8161f94cec

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:bba9d979b8a1db2c66493df93173bff6b4de8e1a6803ef3558fc39518c9c8fed

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:f53e4c2f953509c4db0857275785dd59781343afbe107bf491344ea0682ccb1e

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=sha256:227cfa89889cf923303c4a9ec5c91888271040c5cc057e14060b3e5912c647a9

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=sha256:1416b11a588e2d68e25e0f481ae061429611fc664c01db898f074541d69a8232

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=sha256:34110c08dd8f9770ab47804e4f744ee7ab14119a326eedb9f23273714274a54d

Pith citing papers

No inbound Pith citation observations are available.