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Paper Citation Record · LEDGER

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.05750.

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

pith.paper-citation-record.v1
2304.05750 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:53.203778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:34.681536Z

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 f3668f6a-a9d5-4170-aa87-1d2130cf4688 · inbound

TextureSAM: Towards a Texture Aware Foundation Model for Segmentation cites this paper.

TextureSAM: Towards a Texture Aware Foundation Model for Segmentation Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:53.203778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:53.203778Z digest=sha256:98b0596f1569f74baeb6506443946ae3bb937bcc0a038d963e3498adb23aa569

Observation c74a54b4-1e69-422c-9bcf-7a50c33598fc · inbound

Segment Concealed Objects with Incomplete Supervision cites this paper.

Segment Concealed Objects with Incomplete Supervision Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:57.950180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:57.950180Z digest=sha256:9ebcff53439d9ad1f14220a3934a180538056d05bc949bdb2ebd6375fabc60f4

Observation 445a282f-9f78-41b1-97ec-6289078d525c · inbound

Revitalizing Dense Material Segmentation: Stabilized Vision Transformers and the Generalization Paradox cites this paper.

Revitalizing Dense Material Segmentation: Stabilized Vision Transformers and the Generalization Paradox Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:24.465363Z

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.

source=pdf_text observed=2026-05-25T04:36:53.014004Z digest=sha256:9ecb7bb6f81667aae657f8f2ef9b231c8ea53dd5d2684efb72526341b23c68a1

Observation 8dfdee4d-b119-4ae4-b71d-cc5181e9848d · inbound

Physical Object Understanding with a Physically Controllable World Model cites this paper.

Physical Object Understanding with a Physically Controllable World Model Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:34.683112Z

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.

source=pdf_text observed=2026-06-28T19:31:32.409769Z digest=sha256:15d0f1b21c453b63b9317951d7874eab47985a3123dae01bf2ee668d5bda49d9