Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.13789.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:48.139202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:52:22.995473Z
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 6de3c044-5e9c-41b7-8d45-4ecb0b4972a9 · inbound
AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization cites this paper.
AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:52:22.997744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0af786a1-4ab5-4cc8-94af-fd5a658cad6c · 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 TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:52:48.139202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58324791-3a71-4f90-b6a4-fb17f7b53680 · inbound
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation cites this paper.
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T22:32:36.129552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.