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Paper Citation Record · LEDGER

High-throughput viscometry via machine-learning from videos of inverted vials

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2506.02034.

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

pith.paper-citation-record.v1
2506.02034 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:44.103624Z

measured 60 of 60 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 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

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a319e1e6-e913-46ad-adf8-34b57e63a34f · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 1

Resolution
unresolved
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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.

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Observation e70dfe00-804f-4c88-bbd3-35fccd496ee2 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 2

Resolution
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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=arxiv_source observed=2026-08-07T12:15:38.586778Z digest=sha256:b142133c54741b3b781c31cde17d300c9dc3a5c207ad0b77aecbe86465e57888

Observation 1e8f9db2-9446-4218-95d0-ecd592abf0c1 · outbound

This paper cites Nature 559, 377–381 (2018).

High-throughput viscometry via machine-learning from videos of inverted vials Nature 559, 377–381 (2018)

Reference 3

Resolution
verified fuzzy
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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.

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Observation 895f5fd2-a2ed-4de0-b91c-dee27b236a61 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 4

Resolution
unresolved
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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=arxiv_source observed=2026-08-07T12:15:38.696604Z digest=sha256:d3d8fa86e0ed8091681327467c1606bc1407f55597b24979acae06f06272e3b2

Observation 40265bc1-947e-4bb3-b9da-00fe283d49d5 · outbound

This paper cites (Wiley-VCH, New York), p.

High-throughput viscometry via machine-learning from videos of inverted vials (Wiley-VCH, New York), p

Reference 5

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:38.744043Z digest=sha256:278750a45d5805661bbe0186a64f0b0cf72b8572dc4ce79189844926ae0e914c

Observation e9ffb21f-bdf3-4e7a-906a-7f2ff90e2e5c · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:54.616189Z

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.

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Observation 58b7a8b3-3c69-46c3-8bb8-2c77cc7d403b · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:54.450678Z

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.

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Observation e62b65ab-1dd3-4d33-a77a-ac45ef18c31e · outbound

This paper cites Complex fluids biological systems: experiment, theory, computation pp.

High-throughput viscometry via machine-learning from videos of inverted vials Complex fluids biological systems: experiment, theory, computation pp

Reference 8

Resolution
verified fuzzy
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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.

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Observation 1c134cba-6d2e-423f-8374-bb96edd87511 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 9

Resolution
unresolved
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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.

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Observation 4fd3da31-b357-4ea0-ae64-bc7c3cf2d3a0 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 10

Resolution
unresolved
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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.

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Observation d2dba46f-bf87-4369-982b-0ab2b5bd8e52 · outbound

This paper cites Sensors Actuators B: Chem.

High-throughput viscometry via machine-learning from videos of inverted vials Sensors Actuators B: Chem

Reference 11

Resolution
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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.

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Observation ba347e97-aca9-43e3-abde-4d52fe046931 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 12

Resolution
unresolved
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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=arxiv_source observed=2026-08-07T12:15:39.584603Z digest=sha256:966ede29b557505a7448b0dd5c211473c9b4cb6b8be72d9ad32b66ca94948c8e

Observation 2f96fbab-a20e-4c94-a098-fc3bed060070 · outbound

This paper cites fifty-cent rheometer.

High-throughput viscometry via machine-learning from videos of inverted vials fifty-cent rheometer

Reference 13

Resolution
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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=arxiv_source observed=2026-08-07T12:15:39.706610Z digest=sha256:dd9e112b4224c1fd19af23955081e7e4e761a2ff8c10c28a157c5a7841aa940c

Observation 7347bb9d-594f-46fc-af18-1cc0c8f21656 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:52.730330Z

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=arxiv_source observed=2026-08-07T12:15:39.831231Z digest=sha256:3fa12dcb5de95945a1d27bedfcfa1fa42a958dafa25e91162b258a80c04b4ea6

Observation a2b580fd-eddc-43e5-996d-f6f9a36911ea · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:52.582409Z

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=arxiv_source observed=2026-08-07T12:15:39.963592Z digest=sha256:de1ab348f1aa329e5cdad7d075f904679b30de92ff1b749940eca6c3a3e4bf08

Observation a3db4959-29d9-4dea-91dd-c5252aea03ba · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:52.410984Z

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.

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Observation bcca063f-60bb-4c3c-a9cb-3ca1054f4448 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:52.179753Z

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=arxiv_source observed=2026-08-07T12:15:40.225699Z digest=sha256:a4508d1ea8c9cab191187b37784d5a33304c1182f234cfd451455f81e9a56870

Observation b7513fe9-7b3b-4679-b594-c293e1309bc8 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 18

Resolution
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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=arxiv_source observed=2026-08-07T12:15:40.326250Z digest=sha256:9da063b1833482013a07108728be3f7faa2dcb8814542cd042ca943f7a77ee25

Observation 9c368b92-7e9f-41b1-a0d6-7bae323732ee · outbound

This paper cites Colloids Surfaces A: Physicochem.

High-throughput viscometry via machine-learning from videos of inverted vials Colloids Surfaces A: Physicochem

Reference 19

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:40.419261Z digest=sha256:d6828aef31725a1b76e8b0c4daf3a70d899d953782e71966748d1dec0dddb258

Observation 544451b9-d8b0-45b6-bb93-9bed5412c6ba · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:51.375458Z

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=arxiv_source observed=2026-08-07T12:15:40.534582Z digest=sha256:48b519b8a45be17b223bd0d78ce64b0283a28af6764a7a91f0ba5b3baf0a17fb

Observation 0b3e5d1b-92e7-48f5-88f9-3c2b0d973c9a · outbound

This paper cites Food Biosci.

High-throughput viscometry via machine-learning from videos of inverted vials Food Biosci

Reference 21

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:40.635308Z digest=sha256:170bd996876c250157e00defadcd61b39bfd5591bf348a96f6695780ea33777a

Observation 6a41198c-b288-40f1-ade8-76506f983b95 · outbound

This paper cites ACS Appl.

High-throughput viscometry via machine-learning from videos of inverted vials ACS Appl

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:50.802126Z

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=arxiv_source observed=2026-08-07T12:15:40.727003Z digest=sha256:29f6e00dc985af2876480cbe47e12b1c9e4a2087ea53e31f015e4b3ffc7cacad

Observation 0fc2c892-34c2-4536-8b6d-5ce43a510490 · outbound

This paper cites Macromolecules 40, 1165–1173 (2007).

High-throughput viscometry via machine-learning from videos of inverted vials Macromolecules 40, 1165–1173 (2007)

Reference 23

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:40.830018Z digest=sha256:e97dc1bc4132caf5359c019d9ab1c427d40451d195d97c8593c3b778780ce565

Observation c7653b55-95bf-4e49-bd6d-22f41cebe79d · outbound

This paper cites Biomacromolecules 14, 3172–3182 (2013).

High-throughput viscometry via machine-learning from videos of inverted vials Biomacromolecules 14, 3172–3182 (2013)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:50.399925Z

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=arxiv_source observed=2026-08-07T12:15:40.909149Z digest=sha256:547ffd7eae548bc9bd4c52cf4b609d7e7ae171142002f6bee4422ca87a7f5852

Observation a3c03072-5f2d-421a-8c7c-fd25f1df9108 · outbound

This paper cites Korea-Australia Rheol.

High-throughput viscometry via machine-learning from videos of inverted vials Korea-Australia Rheol

Reference 25

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:40.991028Z digest=sha256:049ea35bec605211de832089fef99a89d7258d4cadf8f8e76fa650357a056b5f

Observation 0ba5231a-6234-4ec0-b967-0c92ca64cff2 · outbound

This paper cites ACS Macro Lett.

High-throughput viscometry via machine-learning from videos of inverted vials ACS Macro Lett

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:50.067157Z

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.

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Observation 6a26a093-55f2-4e18-a84e-31b7f3821b78 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 27

Resolution
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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.

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Observation 78e234c9-ff32-414a-98a3-62185cafaa8c · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 28

Resolution
unresolved
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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.

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Observation f1d4dc86-8f8b-4eea-9582-09c7aef87134 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:49.466369Z

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=arxiv_source observed=2026-08-07T12:15:41.380917Z digest=sha256:ece2b08ad83d3d8755ce518cd22e27f9e88f0e0e8287c770f666d4b14fc9833e

Observation 77e9e1d0-fdcd-4ef6-a0cd-f1a638e2a76e · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:49.292995Z

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=arxiv_source observed=2026-08-07T12:15:41.480765Z digest=sha256:4b8598f29ee8524de3dfffb9094044097e9080c73202029f38343aa2389a150b

Observation d7141210-baf3-41d5-bf68-0dd41769e4df · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:49.023135Z

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=arxiv_source observed=2026-08-07T12:15:41.592443Z digest=sha256:85069b4a05f038eaeb9efc9107c44446aa15961f920cf88244ac5642c5e86336

Observation e6c3f75c-f389-4b44-b9f2-0ddebd0ab72b · outbound

This paper cites PLoS computational biology 16, e1008018 (2020).

High-throughput viscometry via machine-learning from videos of inverted vials PLoS computational biology 16, e1008018 (2020)

Reference 32

Resolution
verified fuzzy
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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=arxiv_source observed=2026-08-07T12:15:41.718271Z digest=sha256:5245023a450ca80ff6c213a9e02143db2fb0bc504f69139b1efd311b4b6075bf

Observation 7b130720-161b-4649-9058-f54afa380619 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:48.575174Z

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=arxiv_source observed=2026-08-07T12:15:41.809698Z digest=sha256:c9b318a1678bde2a52aa313d1b876ba16c40d4e5340ee4a0a0ef0cb309b076b3

Observation cc916dc7-c2ea-4453-871d-35df5d24cd9d · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:48.419019Z

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=arxiv_source observed=2026-08-07T12:15:41.872949Z digest=sha256:13db3082407abf58e945054bf8a3cd8a96fc14de2584ccd740e1cbb813dc1aab

Observation fd80a87d-d950-455e-8b49-754132d96dd1 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:48.257088Z

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=arxiv_source observed=2026-08-07T12:15:41.965463Z digest=sha256:149e8f942cf99639bcb6af2ef61fbe782a2cfa22dc96c750da903e7c91485990

Observation ca195af2-04c8-4fd0-8d12-96c6f7351d39 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:48.111299Z

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=arxiv_source observed=2026-08-07T12:15:42.071337Z digest=sha256:b29c5937f7ac153fd10d2d3f460b16f431799c4c60fe91120e904bf563dca9d3

Observation 96dd8ac9-b32d-486c-87a1-b97f1e3d9920 · outbound

This paper cites Conanstruction Build.

High-throughput viscometry via machine-learning from videos of inverted vials Conanstruction Build

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:47.935777Z

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=arxiv_source observed=2026-08-07T12:15:42.173494Z digest=sha256:31f94be165a133299c6e7438d7799975037c77bb0be0da9cf153f1f34bf61842

Observation a7ecb68a-de1c-4802-90df-16ff7894df04 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:47.787747Z

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=arxiv_source observed=2026-08-07T12:15:42.255055Z digest=sha256:022304e4bac45a93657be852138f3ab267a882ff1fa42e902efcd5fe16327e39

Observation b3579812-53a4-4499-83ec-22ba52b9fc5d · outbound

This paper cites Inverse Probl.

High-throughput viscometry via machine-learning from videos of inverted vials Inverse Probl

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:47.667994Z

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=arxiv_source observed=2026-08-07T12:15:42.336515Z digest=sha256:4a1c98ab8c252760240472b6f61656d13e1a9f17ffe9a9b4666473d5c4954e77

Observation 67c5add1-bcd0-466e-b715-aef85deb56a2 · outbound

This paper cites Learning rheological parameters of non-Newtonian fluids from velocimetry data.

High-throughput viscometry via machine-learning from videos of inverted vials Learning rheological parameters of non-Newtonian fluids from velocimetry data

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:15:44.260737Z

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=arxiv_source observed=2026-08-07T12:15:42.399070Z digest=sha256:8915d37b6f4366355a62da9cf76f5c8f7383b259d55db2642f9d2ac95b3b0806

Observation 65b27558-6b70-4a9a-ae6d-fb51b20f8ef4 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:47.480256Z

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=arxiv_source observed=2026-08-07T12:15:42.508806Z digest=sha256:c6f45c5870ffb45edfd7b9c09263fe9856bcd78e3f50647cb3e8b65b5cc71aac

Observation 6959714a-f744-4a5b-be41-58041b909b28 · outbound

This paper cites IEEE Transactions on Image Process.

High-throughput viscometry via machine-learning from videos of inverted vials IEEE Transactions on Image Process

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:47.341620Z

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=arxiv_source observed=2026-08-07T12:15:42.577435Z digest=sha256:95ebe685b828768f0f3146b5342ebe47284ccdef7f3a8fcc840dccbaeec8974e

Observation 6c72db41-e7b3-42a1-b4b5-bd7cf72cab44 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:47.218201Z

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=arxiv_source observed=2026-08-07T12:15:42.668331Z digest=sha256:a845816c2bcfc58e07434c35972c36fd8227480f4b7d264e61b6e247425aeebc

Observation 71fe3351-f987-4a54-93f6-4440e8e3c193 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:47.109303Z

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=arxiv_source observed=2026-08-07T12:15:42.747783Z digest=sha256:bcab9c0794887c46a20564280bc33d9314bf7c6d70d8a03ac339474f24c3c01e

Observation ca8b8605-3216-4f6d-81b2-284f66102453 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.954920Z

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=arxiv_source observed=2026-08-07T12:15:42.832563Z digest=sha256:cf3d8e46ec85f09934e120892f44f606e2d50f48657ee23fbf09e0659c17f8b1

Observation e36865b6-2a6c-4b07-8476-6ed7f2483aeb · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.782346Z

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=arxiv_source observed=2026-08-07T12:15:42.926043Z digest=sha256:e26a631c62fbb83c7575045df468c5e9b1305803ea59f2c51ed45d70deb2378a

Observation 434c63fe-a939-4f9a-9810-e4c45412e11e · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.622003Z

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=arxiv_source observed=2026-08-07T12:15:43.006966Z digest=sha256:f1403c4b99ba826d86cb1810e836c1b807110427bc7f7dc95f650e54b0da3172

Observation f9667488-b2e0-4c16-8705-551d994d0977 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.383838Z

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=arxiv_source observed=2026-08-07T12:15:43.097272Z digest=sha256:92a305550c2fe88c232ab6dcb870309cbaa6116609e067b8ed225e939e38e885

Observation 0ab0d50a-2da5-49aa-9dbf-df7043648edf · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.225310Z

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=arxiv_source observed=2026-08-07T12:15:43.182969Z digest=sha256:d3e6c58763b593176e94a8c95ad74857dcdff75944bb1ac8c64e8ce659618bed

Observation 7bcef9ad-61b2-42fd-b57d-4f25c8344dd7 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:46.056388Z

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=arxiv_source observed=2026-08-07T12:15:43.280846Z digest=sha256:5dd382ca5c3edf81fd3ffb7a4f83dc18565f4022f09d960cfdf2befda22b49f4

Observation 11a0960f-7c66-468d-a2cc-c84f1d9156c1 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:45.925317Z

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=arxiv_source observed=2026-08-07T12:15:43.345815Z digest=sha256:14a78c2b4418275d5439c4fb9286c9391a823af7eeb57aa36cd1063f34444b77

Observation d2132b26-df79-4226-9c51-b6410733aade · outbound

This paper cites (Elsevier) Vol.

High-throughput viscometry via machine-learning from videos of inverted vials (Elsevier) Vol

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:45.805913Z

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=arxiv_source observed=2026-08-07T12:15:43.419023Z digest=sha256:b12ac96e2ce822209c9eca50c50cc2bd308258db637d514659061252d9eaf700

Observation c90dd6c6-1134-4120-9164-d68ecfb74181 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:45.637618Z

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=arxiv_source observed=2026-08-07T12:15:43.518972Z digest=sha256:f732124ba7a702c7dc0b201a2fe0901bcb9911da9149fec7388047585bd63972

Observation 69218794-d987-4842-bc04-6120da125cf0 · outbound

This paper cites (John Wiley & Sons), (1980).

High-throughput viscometry via machine-learning from videos of inverted vials (John Wiley & Sons), (1980)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:45.508311Z

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=arxiv_source observed=2026-08-07T12:15:43.612088Z digest=sha256:5ceea7774f9001518f0ad00b1f5e5d3c7281b10292a2d4a218bfb93b59ae3639

Observation 693af98c-bff6-4deb-b98c-5620cc51aa77 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:45.328810Z

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=arxiv_source observed=2026-08-07T12:15:43.693424Z digest=sha256:a41223b4a0c880787171e91799c8f958d0aaa59f51e156fb76a46fffd3f7128f

Observation c8d6a27b-a4e9-46fb-81c0-e82bb7e71048 · outbound

This paper cites ACS Comb.

High-throughput viscometry via machine-learning from videos of inverted vials ACS Comb

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:45.143254Z

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=arxiv_source observed=2026-08-07T12:15:43.777471Z digest=sha256:3dea45b67fb6bc8605efbd4fd4afac7832e4f58ee2908b4e0768c2b0a814ade8

Observation 938a1f9c-2ab6-4ec8-9606-5e0e19a1a16c · outbound

This paper cites Nature 300, 427–429 (1982).

High-throughput viscometry via machine-learning from videos of inverted vials Nature 300, 427–429 (1982)

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:15:44.946487Z

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=arxiv_source observed=2026-08-07T12:15:43.848730Z digest=sha256:bfa378b296c71112690c078387f50ce6524636e200bf5cb1bee653cd85b547af

Observation 7c607509-088f-4464-aa7f-e9c265c01ae6 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:44.761444Z

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=arxiv_source observed=2026-08-07T12:15:43.918749Z digest=sha256:25b1ba2c063b7e7fbceffe1c6eefc590a92dcb8fab48c4f4ca45dd1a6cc65a04

Observation be747772-3ec8-42a7-b6d2-0321ff84a8d5 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:44.623978Z

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=arxiv_source observed=2026-08-07T12:15:44.008323Z digest=sha256:4e252ba7b5eada24bfd7a64ac494a2347530361f336292de62e2e41045b8ba57

Observation 31e821ba-a882-4718-beff-fae7aa2b0903 · outbound

This paper cites an unresolved cited work.

High-throughput viscometry via machine-learning from videos of inverted vials Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:15:44.426336Z

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=arxiv_source observed=2026-08-07T12:15:44.103624Z digest=sha256:fc5ee0bdfafec8beefa63e32d5047ede1045ef0a084bd739a7b77c6f0c37ec4a

Pith citing papers

No inbound Pith citation observations are available.