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Paper Citation Record · LEDGER

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.05744.

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

pith.paper-citation-record.v1
2608.05744 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:52.587351Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4aa9eb71-0956-440c-89e4-2262f577bb95 · outbound

This paper cites AIMS Mater Sci 8(5):685–697.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines AIMS Mater Sci 8(5):685–697

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.926588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9be2d30c-a541-48a4-a566-c700e3ad9049 · outbound

This paper cites Procedia CIRP 93:700–705.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Procedia CIRP 93:700–705

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.865725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:18:52.444918Z digest=sha256:89e4f89d240e21d3ae750df236c5ced401519c9a79000a1ebecd484bf80fda22

Observation c6d9f844-4cb8-4bc3-b210-615acf952c72 · outbound

This paper cites Procedia Eng 123:538–545.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Procedia Eng 123:538–545

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.755830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ac4e0df8-a64d-4a56-8db0-c5a882b6543f · outbound

This paper cites Adv Manufac 2(1):3–12.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Adv Manufac 2(1):3–12

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.699505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:18:52.487183Z digest=sha256:67db10793b2f7f327d41b246e0ac0423db5099b8edba0e35d98ce90eb5c02d24

Observation d6d57fa2-9ab7-443d-9f3b-d9aba66aa27c · outbound

This paper cites CIRP J Manufac Sci Technol 22:116–120.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines CIRP J Manufac Sci Technol 22:116–120

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.612920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:18:52.493662Z digest=sha256:076a1b1d95851df0492f5f49a6aa3123b4b9a958f9be3ddf5c115a7a6b96ec42

Observation b247f96a-57a1-4043-a93d-f9277496b322 · outbound

This paper cites In: Pan J-S, Ito A, Tsai P-W, Jain LC (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines In: Pan J-S, Ito A, Tsai P-W, Jain LC (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.434868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:18:52.498387Z digest=sha256:8cdbf49772c680a508b7867b9f44dc6165649553597ba6710d2ea0598e7ab95f

Observation 9d70d1db-127a-4e0d-b658-6e2166e323a0 · outbound

This paper cites Sensors 20(9).

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Sensors 20(9)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:18:53.280273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:18:52.505840Z digest=sha256:894d5243d2450a169051df40ce74313c83aeda905e8ca82131b761476d8ab07f

Observation 9b731845-54bd-4b1d-b449-c90aba9c0f0f · outbound

This paper cites A Closer Look at Spatiotemporal Convolutions for Action Recognition.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines A Closer Look at Spatiotemporal Convolutions for Action Recognition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.531338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.531338Z digest=sha256:f2edeaf1839921ffac227bdb4483f5737c54b1e36eb3005f50722cca65e22540

Observation 6f08c273-8e9d-4900-807d-a47270aed554 · outbound

This paper cites Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:18:52.863459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 148d6047-3170-482f-b730-6c9f828fb09e · outbound

This paper cites X3D: Expanding Architectures for Efficient Video Recognition.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines X3D: Expanding Architectures for Efficient Video Recognition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.575248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.575248Z digest=sha256:e1a05bdda4df0b62aaee2f0d3d3d9b557e03997ae1d6a73e6db2635b2d252f7c

Observation 3800e9ee-fe5c-4b74-bba0-876295b59135 · outbound

This paper cites MViTv2: Improved Multiscale Vision Transformers for Classification and Detection.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.587351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.587351Z digest=sha256:b124f2b3d9332d9336d0d6f567b2ce519f3e8d7f5172772d4777ded3822f71a4

Observation c8a29ce3-4c0d-4c03-a85d-9b3c8deb169c · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.511766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.511766Z digest=sha256:39a221d45097427f3efae28f981765923560b481561199682abc489679341516

Observation 8302df50-c534-49e7-9eba-afc7e9340e95 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines Deep Residual Learning for Image Recognition

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.518113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.518113Z digest=sha256:0bcc596ad40e77d478a7e03d04ea9f9bf28eed7b6b786c8328daa3e4c5055ad9

Observation 0f4fae77-b6e7-4bd7-92aa-4acb73bedcf3 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines YOLOv11: An Overview of the Key Architectural Enhancements

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:52.525476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:52.525476Z digest=sha256:6af6427871dee7ddb269dd6134c955c60d9b46a27ed64ad23d693726be24ea0d

Pith citing papers

No inbound Pith citation observations are available.