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Paper Citation Record · LEDGER

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning

As of 21 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2509.06618.

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

pith.paper-citation-record.v1
2509.06618 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:19:17.854722Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

7 of 7 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad4e8be9-5178-4912-8b86-0fbdd010e956 · outbound

This paper cites fibril collective.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning fibril collective

Reference 2

Resolution
malformed identifier
doi_truncated, observed 2026-08-15T16:19:17.910001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.843645Z digest=sha256:aca5c742249ca88b31ef5e43a7cb5126ec135baf55f787608de8e5c5990265e0

Observation bc24cb6e-59ad-4311-8568-fe180833be29 · outbound

This paper cites an unresolved cited work.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:19:17.931581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.834242Z digest=sha256:39ef44a98df547579a832cebc963cad306dc80f2b9aeb83ca31a67dc3da85500

Observation 76063313-8d9f-4c44-bc47-cf3353b512be · outbound

This paper cites ground truth images.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning ground truth images

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:17.920964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.838787Z digest=sha256:a93eedb315ddd3aacc47bb42b0b78f5218e2e75e565b2e19dbaa85bb87bafadc

Observation c8947798-0fff-4658-aff3-39cf9cd917e1 · outbound

This paper cites Perspectives on Cellulose Nanofibril Size Measurement Using Scann ing Electron Microscopy.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning Perspectives on Cellulose Nanofibril Size Measurement Using Scann ing Electron Microscopy

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:17.956723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.824068Z digest=sha256:860f7c206490637e6a2dd03158913fe7d56664db4f5c3495964a013343ffa421

Observation 36560d35-0815-4bce-bbf8-0871badc78ab · outbound

This paper cites The ‘fines’ percentage, defined by the ISO specification (ISO 2014), is the percentage of fibrils with a length less than 200 µm.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning The ‘fines’ percentage, defined by the ISO specification (ISO 2014), is the percentage of fibrils with a length less than 200 µm

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:19:17.944854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.829918Z digest=sha256:3a66ffdc2fb51cc130fb2948925c39a18778b78dc33b7dd0fb5463b89ad30bcd

Observation 578a6b70-08c6-404b-8ebe-fe05ebd91753 · outbound

This paper cites Open Physics 10(1):181-188.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning Open Physics 10(1):181-188

Reference 2810

Resolution
verified exact
doi, observed 2026-08-15T16:19:17.899170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.850284Z digest=sha256:92b0e12824ccf034458f14bc3ea1558697137e1ddf767e180f1d9f0d44f79bdc

Observation b7565a25-bc29-488c-8e02-c6a52ee4d36d · outbound

This paper cites an unresolved cited work.

Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning Unresolved cited work

Reference 4590

Resolution
verified exact
doi, observed 2026-08-15T16:19:17.886835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:19:17.854722Z digest=sha256:01ecdaa1c0b404727813ab0d0206ec2314497f1632879a223475760c42d859cf

Pith citing papers

No inbound Pith citation observations are available.