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Paper Citation Record · LEDGER

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.13505.

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

pith.paper-citation-record.v1
2308.13505 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:49.642417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:56:25.344222Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 49e87fed-4a65-4788-a95a-3a20cd113538 · inbound

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

SAM 2: Segment Anything in Images and Videos Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:56:25.346628Z

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=pdf_text observed=2026-05-10T13:56:25.331304Z digest=sha256:8425c1b56324e47a6d46448f2cb28e0a35d6ef26f70d0c868e4a99d8229b732f

Observation 2ee8bb8f-c9f7-4a37-b36b-eaaa7dc82e06 · inbound

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost cites this paper.

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:49.642417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:49.642417Z digest=sha256:faa124ba13ac6f1502c9efcff86aa4b0ffbda174b280647e9d211a4bd64ca406

Observation f933e600-46e6-4317-af23-4d2d5d8dd5c5 · inbound

G$^2$TAM: Geometry Grounded Track Anything Model cites this paper.

G$^2$TAM: Geometry Grounded Track Anything Model Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T23:56:52.009530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:56:52.009530Z digest=sha256:f31867d579058d87698e4a3d0d1c6e904f9a940be4dc5f14ffa6764f4ab751b5