Pith. sign in

Paper Citation Record · LEDGER

Learning IMU Bias with Diffusion Model

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.11763.

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

pith.paper-citation-record.v1
2505.11763 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:53:30.891352Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2371824-e6ba-4235-9c08-832a8f0be231 · outbound

This paper cites Titterton and J.

Learning IMU Bias with Diffusion Model Titterton and J

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:29.886841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:29.886841Z digest=sha256:77e93e7cef2669bac53f0333dab6726f2c82e8a082d7496b4bd10c44bc9c6251

Observation e50b49b7-a81d-4994-bb16-f12544ac525b · outbound

This paper cites Unified temporal and spatial calibration for multi-sensor systems,.

Learning IMU Bias with Diffusion Model Unified temporal and spatial calibration for multi-sensor systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:33.006904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:29.973115Z digest=sha256:60e68ffe587689748ffcae975557ffd95d351122ab64e0364d79b0c4ab3ed112

Observation 8a5d0540-00c2-41a9-82f7-f0887baaf937 · outbound

This paper cites OpenVINS: a research platform for visual-inertial estimation,.

Learning IMU Bias with Diffusion Model OpenVINS: a research platform for visual-inertial estimation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.930884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.044581Z digest=sha256:478bd19784276775d696d03df6e8a6395d1e194f479c3c2e27fa92413f340e59

Observation f1fa3492-46de-42b4-b98c-a9add168a11b · outbound

This paper cites Inertial navigation meets deep learning: A survey of current trends and future directions,.

Learning IMU Bias with Diffusion Model Inertial navigation meets deep learning: A survey of current trends and future directions,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.091954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.091954Z digest=sha256:6bf553ee898ee7bdd17ab37685079ba0cd781ba1b12d14c8b425eaec1a8aabd7

Observation 36611d90-e9cc-4ec5-902a-6f92d0a1de7b · outbound

This paper cites Imu data processing for inertial aided navigation: A recurrent neural network based approach,.

Learning IMU Bias with Diffusion Model Imu data processing for inertial aided navigation: A recurrent neural network based approach,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.802065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.096453Z digest=sha256:40b93e2c5bfaaa57f76ced2d12618ed27a5099e80c8fd2db017ed9fe4bccd77e

Observation 6d718d03-2232-4cef-90ac-0c00468a0877 · outbound

This paper cites AirIMU: Learning Uncertainty Propagation for Inertial Odometry.

Learning IMU Bias with Diffusion Model AirIMU: Learning Uncertainty Propagation for Inertial Odometry

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.102128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.102128Z digest=sha256:ee082731c6ff4a41b4ba271c5100d45a5c9247d390a671cbd8a20a61e1910c33

Observation 38c8291f-cab6-4faf-b2fc-455ab660d6b9 · outbound

This paper cites Deep IMU Bias Inference for Robust Visual-Inertial Odometry With Factor Graphs,.

Learning IMU Bias with Diffusion Model Deep IMU Bias Inference for Robust Visual-Inertial Odometry With Factor Graphs,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.710924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.109482Z digest=sha256:0fdde4ee43791aeb7d2b8f1d4be80e15fbe64acb77190df25bb2dbd1bf8c2a9d

Observation 4f7c951e-1fcd-4318-96b7-321f12d1375f · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

Learning IMU Bias with Diffusion Model Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.179496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.179496Z digest=sha256:713e46aeaf72993a4a4f88f8f3fe495ff5cf3d00359d2607c3a6e21c1350bcc6

Observation 31bbad10-e735-43c7-9bb1-18168436f7f1 · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion,.

Learning IMU Bias with Diffusion Model Stochastic trajectory prediction via motion indeterminacy diffusion,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.599061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.278301Z digest=sha256:b1222367f35671947a8d17bc948efbaf7690e6304aa133a00b699bf00b970744

Observation 077604b2-fcf0-4443-8182-511f3dcdda0c · outbound

This paper cites Walk detection and step counting on unconstrained smartphones,.

Learning IMU Bias with Diffusion Model Walk detection and step counting on unconstrained smartphones,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.517196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.343036Z digest=sha256:84ae479ca336cf61ff7514eaa53f463255d89e703c27dd414bc45250bed29e77

Observation d95e62c6-dd69-49fe-b4b7-35a92f395f5a · outbound

This paper cites Pedestrian tracking with shoe-mounted inertial sensors,.

Learning IMU Bias with Diffusion Model Pedestrian tracking with shoe-mounted inertial sensors,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.498650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.347534Z digest=sha256:c1054ded0e798abec4868a4595d899286d0a93fa4844af8d15c851ccee1e11de

Observation d66b84f4-0551-4a44-bf20-81c36ce2518d · outbound

This paper cites Inertial Odometry on Handheld Smartphones,.

Learning IMU Bias with Diffusion Model Inertial Odometry on Handheld Smartphones,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.451588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.352720Z digest=sha256:429308213afc538e6bd20db4d59114a314a467619ea19391e4cd661a45d32187

Observation 0c911553-1c83-4057-abc3-48c50329ffc8 · outbound

This paper cites Ridi: Robust imu double integration,.

Learning IMU Bias with Diffusion Model Ridi: Robust imu double integration,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.357812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.357812Z digest=sha256:e8b5a3edfe40b1e5a45af028be50490fa886973eee7a3b8fe357bf7ab0d56cc5

Observation b4c4ddec-679a-45a9-bff5-38b37aeeb01a · outbound

This paper cites Ionet: Learning to cure the curse of drift in inertial odometry,.

Learning IMU Bias with Diffusion Model Ionet: Learning to cure the curse of drift in inertial odometry,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.287750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.362823Z digest=sha256:9b5159e999c1a0e0a311cd49386792f916b1b4fb770d9b2a7c49e8824ee20c87

Observation 09f501bb-3cf2-4ac7-b030-6d0fca7f5fc0 · outbound

This paper cites Idol: Inertial deep orientation- estimation and localization,.

Learning IMU Bias with Diffusion Model Idol: Inertial deep orientation- estimation and localization,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.367742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.367742Z digest=sha256:1896ab01019d00c7b40c14f5be18a9acc7f581d9211a64f3f3999fb2b5fdf0f6

Observation 88cb52f2-0b5e-45e1-9c82-40025350f999 · outbound

This paper cites Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,.

Learning IMU Bias with Diffusion Model Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.372524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.372524Z digest=sha256:ccee415ac980782659ca3e59ca98d1aa2dc1c18ca51323beed4dba48c92a13fe

Observation 3a75ebe3-caed-4e6b-b445-6264e08af414 · outbound

This paper cites Tlio: Tight learned inertial odometry,.

Learning IMU Bias with Diffusion Model Tlio: Tight learned inertial odometry,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.211560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.377628Z digest=sha256:0f65db8e3d8cdd3182ef29604e83819dfbdee89d1b1dd36e09e2d6481f53eb68

Observation b22c8d44-a264-4437-8226-dc94002a0b5a · outbound

This paper cites Neural inertial localization,.

Learning IMU Bias with Diffusion Model Neural inertial localization,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.382206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.382206Z digest=sha256:b4824a7200d50b818893201c6a06f4517340415245196219be0a00ee18a2357c

Observation 84dfc202-fc28-49b5-8ae1-45cb33a8ae1f · outbound

This paper cites Learned inertial odometry for autonomous drone racing,.

Learning IMU Bias with Diffusion Model Learned inertial odometry for autonomous drone racing,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.386431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.386431Z digest=sha256:4af9c17533b2d4aac655223e94c671991426048aea6af9ca349f1403bc24a01c

Observation 211b12e8-1e5a-437e-9c13-704a1f1de459 · outbound

This paper cites Rio: Rotation-equivariance supervised learning of robust inertial odometry,.

Learning IMU Bias with Diffusion Model Rio: Rotation-equivariance supervised learning of robust inertial odometry,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.391147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.391147Z digest=sha256:a59770b1a2b5bc4722f8b49fcd2128ea09c0f70c979442bed275e8616d3e3668

Observation 1a52be6c-3c60-41ee-8463-2db6cbdd4312 · outbound

This paper cites EqNIO: Subequivariant Neural Inertial Odometry.

Learning IMU Bias with Diffusion Model EqNIO: Subequivariant Neural Inertial Odometry

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.410129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.410129Z digest=sha256:2067b9bdfbfcbcfc4a4b134f6a448f7af6ea1920267522dc727de40aeff2ebf1

Observation d5aafc97-bdf1-4443-8775-4cdebb22db02 · outbound

This paper cites Indirect kalman filter for 3d attitude estimation,.

Learning IMU Bias with Diffusion Model Indirect kalman filter for 3d attitude estimation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.117306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.485415Z digest=sha256:1693709d58545cd4d5d4d24da95a6a1e33f8ea3594eece26df89649f515f23a3

Observation 96f24e9f-f3f8-4fdc-91cb-26dd6cad3dcb · outbound

This paper cites Denoising imu gyroscopes with deep learning for open-loop attitude estimation,.

Learning IMU Bias with Diffusion Model Denoising imu gyroscopes with deep learning for open-loop attitude estimation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:32.099613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.547119Z digest=sha256:6ac8144a40f3fc4b9db7f182100776ed8b228cd88c471633c9f1c2555669672d

Observation 08dd7699-9fae-4d21-8800-f82211db043b · outbound

This paper cites Visual-inertial navigation: A concise review,.

Learning IMU Bias with Diffusion Model Visual-inertial navigation: A concise review,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.946264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.552408Z digest=sha256:c80d4e370bd927627f64f1c1767026e0b60be5077fea18fbe41f4a4f2761a251

Observation a709978b-f767-4bda-a849-4fad92d5c965 · outbound

This paper cites Observability analysis of aided ins with heterogeneous features of points, lines and planes,.

Learning IMU Bias with Diffusion Model Observability analysis of aided ins with heterogeneous features of points, lines and planes,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.857110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.557399Z digest=sha256:3d8a8d8c62fea6ce4a31a140a96d04a1ba2e978a4a0ecd6383f6eab04ec52e10

Observation af2b93d0-943a-470d-a50b-a3d268fcd2a2 · outbound

This paper cites Low-frequency spectral analysis of dc nanovoltmeters and voltage reference standards,.

Learning IMU Bias with Diffusion Model Low-frequency spectral analysis of dc nanovoltmeters and voltage reference standards,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.840059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.561747Z digest=sha256:e21402c4f06dc6a67df700e7e6e70218b5b3281ff753192066db126abe824864

Observation 5280aa40-d13d-4369-8865-c95544e8948e · outbound

This paper cites Should the classical variance be used as a basic measure in standards metrology?.

Learning IMU Bias with Diffusion Model Should the classical variance be used as a basic measure in standards metrology?

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.707034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.566679Z digest=sha256:5c7dfc952f99ab684abb613724de10df612b980f60e64db579cdf7f2c833d0db

Observation 0e146ec3-55ad-4c79-ab4d-2d04807abb31 · outbound

This paper cites Ieee standard specification format guide and test procedure for coriolis vibratory gyros,.

Learning IMU Bias with Diffusion Model Ieee standard specification format guide and test procedure for coriolis vibratory gyros,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.689762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.571452Z digest=sha256:9b685b8a49abedddbea2b5015fb0de7fd905e0346805bb9259c4220d278b0f4f

Observation 0eddbbb3-4fb2-4e54-ad20-5b1291322b75 · outbound

This paper cites Ieee standard specification format guide and test procedure for linear single-axis, nongyroscopic accelerometers,.

Learning IMU Bias with Diffusion Model Ieee standard specification format guide and test procedure for linear single-axis, nongyroscopic accelerometers,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.606708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.622329Z digest=sha256:ca2b787ef63e3f9f2daeb3c6a4a13c4202e0da4463d36cb5d1a24425b04490f6

Observation 46857394-cc01-4a65-85e7-9ed6a6fb72f4 · outbound

This paper cites Denoising diffusion probabilistic models,.

Learning IMU Bias with Diffusion Model Denoising diffusion probabilistic models,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.691080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.691080Z digest=sha256:3b5ee6c6b7f325514843ce8204ff9ebcf1f2270a042d1cd12b04a51e4e0ce2b0

Observation 73e709d3-2d93-47d5-a29c-349a56e8d9d8 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Learning IMU Bias with Diffusion Model An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.841833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.841833Z digest=sha256:358c6d632f0314d205a2c71854543639fed8639e5d5d62d06fcc4aae1ce05523

Observation 46e1750a-f007-49a3-acaf-7015d1d66627 · outbound

This paper cites Attention is all you need,.

Learning IMU Bias with Diffusion Model Attention is all you need,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.846065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.846065Z digest=sha256:d9906ee698fa3175814a776461541c1dc10fd3e69d9b9a3ad0172f8ff995b2b3

Observation e182b83a-2daa-447a-800e-d64c8d74f0c4 · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

Learning IMU Bias with Diffusion Model U-net: Convolutional net- works for biomedical image segmentation,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.851423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.851423Z digest=sha256:0631df763351f042dae5e636db7a5b5edca80e00bf0cffb2691ee55ec647186b

Observation 6130f026-4956-4b0d-a75a-72039ad38625 · outbound

This paper cites Learning phrase representations using RNN encoder–decoder for statistical machine translation,.

Learning IMU Bias with Diffusion Model Learning phrase representations using RNN encoder–decoder for statistical machine translation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.485413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.856356Z digest=sha256:5fc02089a0ead7bdf6277af37baad094560f8e04bca51e4f0f26e8e1e5cf9425

Observation 993035a5-2278-4b12-aa81-a46aaafb5565 · outbound

This paper cites Adam: A method for stochastic optimization,.

Learning IMU Bias with Diffusion Model Adam: A method for stochastic optimization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.256480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.861359Z digest=sha256:ac1d425672c4ae3e2a9ca196b7c73a3a2ff418232243bbb8d94cc2e425bc3684

Observation f13de643-b10d-48ce-b832-865c38c4db85 · outbound

This paper cites Denoising Diffusion Implicit Models.

Learning IMU Bias with Diffusion Model Denoising Diffusion Implicit Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.866589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.866589Z digest=sha256:616fe39ed8c52ae593ef65a07d26dd3e5fafa3dd3ffe7fd9b187dedda46690e7

Observation fbc3a78c-2258-40a3-8458-2db76c6d3965 · outbound

This paper cites Vision and imu data fusion: Closed-form solutions for attitude, speed, absolute scale, and bias determination,.

Learning IMU Bias with Diffusion Model Vision and imu data fusion: Closed-form solutions for attitude, speed, absolute scale, and bias determination,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.188937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.872628Z digest=sha256:66c78044eed77c27add6a94c45624b64027bbeb4dc36e264d97e675299c83ac3

Observation 8a1cb294-ddf0-4a3c-85a1-de460cdcfaac · outbound

This paper cites Keyframe-based visual–inertial odometry using nonlinear optimization,.

Learning IMU Bias with Diffusion Model Keyframe-based visual–inertial odometry using nonlinear optimization,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.172643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.877532Z digest=sha256:0b2227549a37b50ceb969ab06b79e63740d68828b4f71f67e3fe44842b3c2e44

Observation 6a823840-0782-4608-b4ec-a43a0a4e1494 · outbound

This paper cites Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,.

Learning IMU Bias with Diffusion Model Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.882437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.882437Z digest=sha256:05dccf8104f86f8bc02ad94297881745ca29150132ebd34fc1ba34001bad80d0

Observation 0121fd4b-b8ff-4333-8907-c0aecaf1cc53 · outbound

This paper cites The newer college dataset: Handheld lidar, inertial and vision with ground truth,.

Learning IMU Bias with Diffusion Model The newer college dataset: Handheld lidar, inertial and vision with ground truth,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:30.886877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:30.886877Z digest=sha256:b1075b76baecb973edbbd8e2ab2ea1b5afbc3f241e47c46ba2f6e321c588cafa

Observation f5bbfc0a-c06b-428c-bfa4-2248a14380ea · outbound

This paper cites The euroc micro aerial vehicle datasets,.

Learning IMU Bias with Diffusion Model The euroc micro aerial vehicle datasets,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:53:31.037726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:53:30.891352Z digest=sha256:67aeb9e05a07baabbba7c14bda834fd883a6e420570447a56fc194fae0b4ec09

Pith citing papers

No inbound Pith citation observations are available.