Paper Citation Record · LEDGER

SAMAug: Point Prompt Augmentation for Segment Anything Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.01187.

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

pith.paper-citation-record.v1
2307.01187 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:05.719744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T14:01:50.019153Z

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 72ec4f5c-da66-4b5b-ad52-9855773d3416 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:01:50.020924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07e03daf-d33e-4adb-8d49-24dc8fc070ad · inbound

EchoONE: Segmenting Multiple echocardiography Planes in One Model cites this paper.

EchoONE: Segmenting Multiple echocardiography Planes in One Model SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:58:15.045197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31729ab5-a837-4109-b0d0-4737fc1a88c1 · inbound

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement cites this paper.

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:29:00.518743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00c4988-d90b-49b7-a842-40396e8e52f5 · inbound

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance cites this paper.

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:05.719744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f13581d-22c2-46c2-9a62-9fd7418477f7 · inbound

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model cites this paper.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:30.198503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4595d20f-a178-4441-b39f-9a356ffca704 · inbound

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:03.562790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f3b256-1d73-4d40-aed7-bad453caa513 · inbound

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation cites this paper.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:19:30.070179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.