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Paper Citation Record · LEDGER

Efficiently Improving and Quantifying Robot Accuracy In Situ

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.07273.

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

pith.paper-citation-record.v1
1908.07273 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:26:33.787523Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact1
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  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60067acc-d6d3-4a51-8d5b-6edcffbc8533 · outbound

This paper cites Robot metrology and calibration systems - a market review,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Robot metrology and calibration systems - a market review,

Reference 1

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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 0d288bc3-7e3d-4126-a1e4-aee718d701e2 · outbound

This paper cites 2015: By far the highest volume ever recorded,.

Efficiently Improving and Quantifying Robot Accuracy In Situ 2015: By far the highest volume ever recorded,

Reference 2

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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 f148e465-ec15-4707-b3bd-f73af3444b1e · outbound

This paper cites Recent progress on programming methods for industrial robots,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Recent progress on programming methods for industrial robots,

Reference 3

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Source-reported events for the cited work

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Observation f1b297a2-86ee-4045-b5d8-85d9dbcbcf5c · outbound

This paper cites Comparative peg- in-hole testing of a force-based manipulation controlled robotic hand,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Comparative peg- in-hole testing of a force-based manipulation controlled robotic hand,

Reference 4

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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 a8d5013b-736e-4572-a158-a322d72d8ebe · outbound

This paper cites Addressing perception uncertainty induced failure modes in robotic bin-picking,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Addressing perception uncertainty induced failure modes in robotic bin-picking,

Reference 5

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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 d91fa0dd-3a23-4a20-91ae-2c1f4c6ac0ef · outbound

This paper cites Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,

Reference 6

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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 d4bdc4fd-c2fb-4084-9d99-d53c0d464cfb · outbound

This paper cites Kinematic noise propagation and grasp quality evaluation,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Kinematic noise propagation and grasp quality evaluation,

Reference 7

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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 e0b9970f-9905-4dc0-aabb-0626375b20cc · outbound

This paper cites A technique to calibrate industrial robots with experimental verification,.

Efficiently Improving and Quantifying Robot Accuracy In Situ A technique to calibrate industrial robots with experimental verification,

Reference 8

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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 420b1dc8-7f16-4ba1-b656-b6e88510e1e3 · outbound

This paper cites Robot calibration issues: accuracy, repeatability and calibration,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Robot calibration issues: accuracy, repeatability and calibration,

Reference 9

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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 ac71330b-2801-4623-8d81-9c4a56ceb371 · outbound

This paper cites Developing an efficient calibration system for joint offset of industrial robots,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Developing an efficient calibration system for joint offset of industrial robots,

Reference 10

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verified exact
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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 109fbea4-0413-4213-8231-92544a1f08d1 · outbound

This paper cites A geometrical approach for online error compensation of industrial manipulators,.

Efficiently Improving and Quantifying Robot Accuracy In Situ A geometrical approach for online error compensation of industrial manipulators,

Reference 11

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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 b65739e4-fe36-4bf2-9941-7ab5659c0a52 · outbound

This paper cites Calibration of industrial robots with product- of-exponential (poe) model and adaptive neural networks,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Calibration of industrial robots with product- of-exponential (poe) model and adaptive neural networks,

Reference 12

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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 82d2544f-9254-4f5b-91f5-af56bae073e4 · outbound

This paper cites Zero-offset calibration using a screw theory,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Zero-offset calibration using a screw theory,

Reference 13

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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 f05f58c1-1f6f-4231-b145-7d5de4fe3517 · outbound

This paper cites A new kind of accurate calibration method for robotic kinematic parameters based on extended kalman and particle filter algorithm,.

Efficiently Improving and Quantifying Robot Accuracy In Situ A new kind of accurate calibration method for robotic kinematic parameters based on extended kalman and particle filter algorithm,

Reference 14

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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 35b276dc-7935-47f7-baaf-c7175f32b499 · outbound

This paper cites Practical industrial robot zero offset calibration,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Practical industrial robot zero offset calibration,

Reference 15

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 379e50ec-68f4-4e95-831b-f41d5cbf3732 · outbound

This paper cites Development and sensitivity analysis of a portable calibration system for joint offset of industrial robot,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Development and sensitivity analysis of a portable calibration system for joint offset of industrial robot,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:34.006230Z

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 20e14f02-250b-41ca-8f2f-7d53ea517ce6 · outbound

This paper cites An automated method to calibrate industrial robot joint offset using virtual line-based single-point constraint approach,.

Efficiently Improving and Quantifying Robot Accuracy In Situ An automated method to calibrate industrial robot joint offset using virtual line-based single-point constraint approach,

Reference 17

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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 4caa133e-25f6-4fcc-a905-43a3b6390da5 · outbound

This paper cites An automated method to calibrate industrial robot kinematic parameters using spherical surface constraint approach,.

Efficiently Improving and Quantifying Robot Accuracy In Situ An automated method to calibrate industrial robot kinematic parameters using spherical surface constraint approach,

Reference 18

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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 b459cd66-7189-4466-a81c-4d24102178c5 · outbound

This paper cites Nistir 8093: Tools for collaborative robots within sme workcells,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Nistir 8093: Tools for collaborative robots within sme workcells,

Reference 19

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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 277ba91a-bead-44a0-8cdd-f27ad765fcb4 · outbound

This paper cites Simplified framework for robot coordinate registration for manufacturing applications,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Simplified framework for robot coordinate registration for manufacturing applications,

Reference 20

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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 2f3efced-dcfd-433a-a4d0-94057cc3bab5 · outbound

This paper cites an unresolved cited work.

Efficiently Improving and Quantifying Robot Accuracy In Situ Unresolved cited work

Reference 21

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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 b7af74cf-aa1a-469a-b029-d224983413cb · outbound

This paper cites Monte carlo sampling methods using markov chains and their applications,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Monte carlo sampling methods using markov chains and their applications,

Reference 22

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61e81511-dcd8-4763-b053-d041f8577ca9 · outbound

This paper cites Strategies for improving and evaluat- ing robot registration performance,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Strategies for improving and evaluat- ing robot registration performance,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:33.903034Z

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 387cb4c2-382a-47c4-a5e3-ef80d83dec6b · outbound

This paper cites Prior distributions for variance parameters in hierar- chical models,.

Efficiently Improving and Quantifying Robot Accuracy In Situ Prior distributions for variance parameters in hierar- chical models,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-14T12:26:33.885264Z

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 64bdbd54-c0f6-41cb-8670-e41b9e5e611a · outbound

This paper cites The selection of prior distributions by formal rules,.

Efficiently Improving and Quantifying Robot Accuracy In Situ The selection of prior distributions by formal rules,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T12:26:33.865545Z

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 2203da0d-dfef-4e8f-96f9-e092ccb0e23e · outbound

This paper cites Available: http://www.ifr.org/industrial-robots/statistics/.

Efficiently Improving and Quantifying Robot Accuracy In Situ Available: http://www.ifr.org/industrial-robots/statistics/

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:26:34.262407Z

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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Pith citing papers

No inbound Pith citation observations are available.