Paper Citation Record · LEDGER

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2605.07945.

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

pith.paper-citation-record.v1
2605.07945 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-05-11T03:27:19.084584Z

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 1ea3b757-ce3a-4fdf-96a2-db13b4c2a2f7 · outbound

This paper cites an unresolved cited work.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 1

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This paper cites Casser, S.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Casser, S

Reference 2

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This paper cites an unresolved cited work.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 3

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This paper cites Cordts, M.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Cordts, M

Reference 4

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This paper cites Dosovitskiy, P.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Dosovitskiy, P

Reference 5

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This paper cites Eigen, C.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Eigen, C

Reference 6

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 7

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 8

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This paper cites Geiger, P.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Geiger, P

Reference 9

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This paper cites Godard, O.M.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Godard, O.M

Reference 10

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Observation feaf7cec-9f5b-4b9c-9ec3-ba15eeb77571 · outbound

This paper cites Gordon, H.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Gordon, H

Reference 11

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Observation 70f94db3-108d-4831-9aab-a23868848b40 · outbound

This paper cites Guizilini, R.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Guizilini, R

Reference 12

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This paper cites Guizilini, R.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Guizilini, R

Reference 13

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 14

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This paper cites Hur and S.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Hur and S

Reference 15

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 16

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Observation ae2cf1ca-72bf-44a2-90ce-2da195270637 · outbound

This paper cites Jaderberg, K.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Jaderberg, K

Reference 17

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Observation 68cb41f6-3e56-49bf-a859-bf6b813398a6 · outbound

This paper cites Jain and I.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Jain and I

Reference 18

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This paper cites Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Reference 19

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This paper cites Johnston and G.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Johnston and G

Reference 20

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This paper cites Kim and J.H.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Kim and J.H

Reference 21

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 22

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Observation a8e26283-aa9f-49d3-8f97-611c316e2a7e · outbound

This paper cites Klingner, J.A Term ¨ohlen, J.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Klingner, J.A Term ¨ohlen, J

Reference 23

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 24

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 26

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This paper cites Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video

Reference 27

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This paper cites Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance

Reference 28

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This paper cites Maire, S.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Maire, S

Reference 29

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

Reference 30

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This paper cites Meister, J.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Meister, J

Reference 31

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This paper cites Mur-Artal, J.M.M Montiel, and J.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Mur-Artal, J.M.M Montiel, and J

Reference 32

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This paper cites Russakovsky, J.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Russakovsky, J

Reference 33

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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This paper cites Wang, J.M Buenaposada, R.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Wang, J.M Buenaposada, R

Reference 36

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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This paper cites Wang, A.C Bovik, H.R Sheikh, and E.P Simoncelli.

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Wang, A.C Bovik, H.R Sheikh, and E.P Simoncelli

Reference 38

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Watson, O.M

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Yin and J

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions Unresolved cited work

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Pith citing papers

No inbound Pith citation observations are available.