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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:c50ef744fccae9e959c3e0e25fde2d720d6c6d32b73aa36f8ef4529e7e15ad58

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=sha256:43450c758a05fc71f95b881e2ff04d0b5873310813f64d545e7a902659ecd5cc

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=sha256:9ee0d569e26639ab0b62bef7220117357daac6b3204e8ac28eb6e9359a2d9bec

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:b34c46a199220db733542ea998d7a23dbe5ceeeb0f2a63b8818406a68214f0df

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:add813d0d140e0a41dbfd3035068652da020d9ca49029246ddb9cf66a7e7c996

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:2c3f36f5c2f7f2ff0a82e0b36931cfb6bb89365895005ab5dbe509ead6a35ebc

Pith citing papers

No inbound Pith citation observations are available.