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Paper Citation Record · LEDGER

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement

As of 17 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2605.29292.

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

pith.paper-citation-record.v1
2605.29292 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:56:06.783920Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39972311-1218-4e3c-aac1-3ac9466b68a9 · outbound

This paper cites Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.098523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:ad9cb6832bbbd8dbec6c9053d2ed57bc1c9bacabec235c177190e892aa925e33

Observation 067ec059-a5e5-408c-a66c-7af0c742b3b4 · outbound

This paper cites Teed and J.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Teed and J

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T08:56:06.783920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:7c6c23afcafb045a321f2552f7e14805dcba05e81b7e0d76b2586a7934012ca0

Observation f87b953a-8bb0-410f-b3cb-391562398480 · outbound

This paper cites Oquab, T.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Oquab, T

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T08:56:06.783920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:a2179b12c5dd5cdd333d566e8f0dbf5c2ec73389f8e287c6458aa7ae7d6218b6

Observation 28d3c3a9-12b3-4fb8-a036-9b6b529577e6 · outbound

This paper cites Barnich and M.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Barnich and M

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T08:56:06.783920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:ad7e0d5c5357528af3ac0b2028db949f17ce6eb1bb14d0a27706674b7a07ed1f

Observation de852dac-5efc-43fe-9332-2f6d65c79ee6 · outbound

This paper cites Kirillov, E.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Kirillov, E

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T08:56:06.783920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:91e3820f1da3c2694603b7a6ea5348a159cca570ce05ca95e8887c8652095138

Observation 60ae1eeb-0b81-4afc-934a-75b5fa9bbdc3 · outbound

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

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement SAM 2: Segment Anything in Images and Videos

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T09:03:16.096796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:a9aec406ff129c68e6c430ffe1b5d5309df669afd5f1d557d1b8b6ee2fc48085

Pith citing papers

No inbound Pith citation observations are available.