Paper Citation Record · LEDGER

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.03912.

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

pith.paper-citation-record.v1
2608.03912 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:48:54.315086Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy15
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 601cfa91-c856-4270-95a0-650ccc52bc1c · outbound

This paper cites SAM 2: Segment anything in images and videos,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation SAM 2: Segment anything in images and videos,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.977318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62ee8e9a-fd03-4eb7-9274-8474b32e31df · outbound

This paper cites A distractor-aware memory for visual object tracking with SAM2,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation A distractor-aware memory for visual object tracking with SAM2,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.960106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2445129c-2600-47f4-b86a-16dda6dc79fb · outbound

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

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:54.119308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bf465f4-1e56-4b08-99da-0c1558aa0cd5 · outbound

This paper cites The visual object tracking VOT2017 challenge results,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation The visual object tracking VOT2017 challenge results,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.942740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1276cea4-e4f7-4fd6-a4ad-b4c5bbd2e37c · outbound

This paper cites The first visual object tracking segmentation VOTS2023 challenge results,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation The first visual object tracking segmentation VOTS2023 challenge results,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.910597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfbde13f-8256-48c5-9db4-e1a985bece63 · outbound

This paper cites EdgeTAM: On-device track anything model,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation EdgeTAM: On-device track anything model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.762903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed883045-64ee-4895-98f8-e005df39ae31 · outbound

This paper cites Efficient track anything,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Efficient track anything,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.723823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc2ab4bc-fd06-460a-8036-2852ab305bf0 · outbound

This paper cites Video object segmentation using space-time memory networks,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Video object segmentation using space-time memory networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.708958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 930f9690-3519-4111-8529-d901b921d035 · outbound

This paper cites XMem: Long-term video object segmentation with an Atkinson-Shiffrin memory model,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation XMem: Long-term video object segmentation with an Atkinson-Shiffrin memory model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.691756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8b015bc-f1a1-4b33-b014-04b1c28fa058 · outbound

This paper cites Putting the object back into video object segmentation,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Putting the object back into video object segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.674828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71fddfdd-aecf-4e4e-aabf-c3bbcb751868 · outbound

This paper cites SAM2Long: Enhancing SAM 2 for long video segmentation with a training-free memory tree,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation SAM2Long: Enhancing SAM 2 for long video segmentation with a training-free memory tree,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.644680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f4e6770-466f-4ac9-bd15-82eb64a4fb09 · outbound

This paper cites Towards streaming perception,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Towards streaming perception,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.501762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c6b0924-34ab-4ecc-8725-163b24e8ecf7 · outbound

This paper cites Deep feature flow for video recognition,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Deep feature flow for video recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.483728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b35062cf-f8cc-45ed-8677-6698c9dd9558 · outbound

This paper cites Clockwork convnets for video semantic segmentation,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Clockwork convnets for video semantic segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.467717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d811cf92-ae0c-47cb-8d74-aab39888160d · outbound

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

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:54.202457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fcb81be-3ca3-4230-b942-1804f7b139f6 · outbound

This paper cites LVOS: A benchmark for long- term video object segmentation,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation LVOS: A benchmark for long- term video object segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.451078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed522777-9117-41ba-a51b-17bab94792ba · outbound

This paper cites Breaking the “object.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation Breaking the “object

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:54.435134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 108c85c0-6674-4f57-b8c3-ea6db2e54753 · outbound

This paper cites MOSE: A new dataset for video object segmentation in complex scenes,.

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation MOSE: A new dataset for video object segmentation in complex scenes,

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:48:54.417762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.