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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:38.696604Z digest=sha256:ba4612c783c8fca96527d29d0e74930746e1e385b978b0a785a80fefa525d7fa

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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:38.976048Z digest=sha256:250ef12e312d2993a320454a1754cbf9f89fd4fb3b06f62989098a5b39e27c5b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:39.097767Z digest=sha256:cc2f1e785764cc5ff5ce352ab09a126219b8c21998b214bc419f6e3628e22f93

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:39.359210Z digest=sha256:468332c94259cdf37dadacd84ba3516bc430a9c20b96e6a47c7f92a6178e6cb0

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:39.584603Z digest=sha256:fb6c7b3e29728bd15ea7b23bcb5ae78d5000f8d9ba1e430d2c2fe07edcdef714

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:39.706610Z digest=sha256:457bf639fbbbc1497345e27a835538112585b29dfa8608184ec9fa606ed7045e

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:39.963592Z digest=sha256:f86b71c3d3647d0514e9028bb235b8f18d5c0843ace5808b3279dca267ac3dd6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.086838Z digest=sha256:0ad3a720679bc59e258cfcde4bc580451020a629d64ae3dd15e02e1f596e6f7a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.225699Z digest=sha256:aaeb487d0b7586ff6141ff87cdf4079af1c8c02b09f058c37365a867a0625289

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.326250Z digest=sha256:aa6700f3e82957173d67c9ce9678714211a8c8c4304806a90e17fa3a46bee128

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.419261Z digest=sha256:6a14b4e292ad3a7a516951dfd947d105e1df6427f28ba7c219beb1d981f448c4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.534582Z digest=sha256:49d23bb1509e9a101f9a82cbe04e042bf59e58d01e730923b6b0e33295c6b5e8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.635308Z digest=sha256:b10c3779a220e83231e1bf11ad577ec5b330a34d7e010f16648cca9e5aecaf66

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.727003Z digest=sha256:c316fcf2f2b84a5f7eaed9a3b512b7605ffef208187324e5bc4cf76d1afc0dce

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.830018Z digest=sha256:3750cfa29586b0800ee6d98e22438f8229bbe39c6240f55bb3df277a0f26facb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.909149Z digest=sha256:3a19f682a953e9603a1bb8ad93ab0b8492c4fe9b4812b919494b96a1cae4cba5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:40.991028Z digest=sha256:14e7575cb1ec1c0d91f91808e10efbe7ca54dbe5a1613c69cf0e1ef8e60659ba

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:41.480765Z digest=sha256:a9b44184b60967e98967be94b263fd6d72bc71d5401204fad2f566eeaa3b321f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:41.592443Z digest=sha256:9f88376c5e4eb17c268cca32a1a35a7ddb62391b094f8714c6612e49033c3950

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
raw_fallback, observed 2026-08-07T12:15:48.801239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:41.718271Z digest=sha256:7c7088d16215e945cf6c6b37206c48f700f9e06f80807d8acccca1a9154c8458

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:41.872949Z digest=sha256:23cc2f7cf5286397af806f6ba940d4fcf5b6428b54c4b2868b3b3fd83343342d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:41.965463Z digest=sha256:6925413457202415b1a103d3873891856c288b1e1a817a825d9a7d276de8110b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.071337Z digest=sha256:fa2dced4661facc1663cb87f7169434eae09db962c25d7881b8b0c006d9a9fa4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.173494Z digest=sha256:53d1221070f5691e0b8b1f060d7a7c3bb8b015271bee5ba2396f6c4dfb7494f4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.255055Z digest=sha256:825b4595c08a5e0822591538f4e1b998176d035c77429dd301807d08e202678e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.336515Z digest=sha256:b9f75d8199058b2f7f494a15420c1060605a8396329473e9e7111071756cb9b0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.399070Z digest=sha256:2a89f8007ce686688437f0c4c0df0a572f813d9cfaa30f6450127ca379f015dd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.508806Z digest=sha256:4b65d4f16a7a1a668fd25f7f0f1b08957e12e500580211551188ea609bfed945

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.577435Z digest=sha256:84fdebd12888b8eb5263827e29845c07180c9689d59d3413bdfa59a6cd06dc89

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.668331Z digest=sha256:d6b335b7b6feec4b7a64618ebb4c200470c7a09fe4f702a25769181e9cd2a874

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.747783Z digest=sha256:8e075d79893d256f1c195180200265db3705d018095087f4f29fe1c9b66ce117

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.832563Z digest=sha256:ebf1e6652127db63ed12bfccb6bd664b4003545fdbe568df0d7a064b3f13d0bc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:42.926043Z digest=sha256:a86e39d7c68085e115b539c3199bc237f066aa87a9f82b2cfcee0e9222fe3be0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.006966Z digest=sha256:80474fc1a6a64a3160611f3c14b5ae25d32ed667033724115b600023dbddffb2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.097272Z digest=sha256:c1a8eaaa33b274a0afb8a28ce380ccc775196e5c4d6f138d43b855f663841023

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.182969Z digest=sha256:9edc4eb152fe65f282f65395ff3e80c6cbe1e36eaa4f7eee9014a35ac96d2018

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.280846Z digest=sha256:e8d739341e0d0e45871b5a8c9ba5bb4afc6a17137a0982f5064c9c241a053825

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.345815Z digest=sha256:d3a4eb8e528b3ae8aecb5f71a90aca7fd9e5744cd1661e94f86235bab95b7dc3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.419023Z digest=sha256:fb297ca49efed2f7a0d96de71c0dda3305917cceba00905e75b708703b07e5fc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.518972Z digest=sha256:79d66dce8f6a76d00ec227c4b1a8fbc626894832baebeaa97a5bbb0779bcc59f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.612088Z digest=sha256:d0a5e1ce9ab6417231760b881159eafadae23fa38ebc2ecbffe4e1185314abe2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.693424Z digest=sha256:e569f51c7002bd093150e9308453a91ad5ad69c5facd45d5ee89017ff4bd4908

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.777471Z digest=sha256:37a8171303dd7db7e3523da7d5f77d67be10b658dd722aa2c6efd37fa3706889

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.848730Z digest=sha256:22e9248f0a65036143f669ca2a52143e655e0e160cf247623ba3990965a6d110

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:43.918749Z digest=sha256:0fe80105392876e226d187f17bcca641de366e8b7359c5eb61bc7482c7a42e77

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:44.008323Z digest=sha256:a808f3f5ed7b506473f2c785bbd99b21cb53199f1853d7b037a5d51f29dfbdce

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T12:15:44.103624Z digest=sha256:644d4108bb461edd2136f72a7b7bbfc15f6ac83b47260d3012a97109882ebd35

Pith citing papers

No inbound Pith citation observations are available.