Paper Citation Record · LEDGER

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.00997.

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

pith.paper-citation-record.v1
2307.00997 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:33.877386Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:54:44.527219Z

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 c5366fd6-a2d9-4667-8ec4-f8cfbac51261 · inbound

Referring Video Object Segmentation via Language-aligned Track Selection cites this paper.

Referring Video Object Segmentation via Language-aligned Track Selection RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:42:30.278910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c6324e-ed1f-44bc-9d23-12fb89929b46 · inbound

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation cites this paper.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.756198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad8c605-6b9d-4140-acd6-b91db316981b · inbound

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking cites this paper.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:55:33.877386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96aa7da2-e04b-4f4b-bf52-88c1171744b1 · inbound

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation cites this paper.

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:54:44.531720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.