Paper Citation Record · LEDGER

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.12319.

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

pith.paper-citation-record.v1
2002.12319 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:26:38.410299Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-14T21:27:59.594345Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 544810e6-a848-4b40-8dc3-a2ffbcd2a43e · inbound

NAIMA: Semantics Aware RGB Guided Depth Super-Resolution cites this paper.

NAIMA: Semantics Aware RGB Guided Depth Super-Resolution Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:05:49.357002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f653de1a-d01d-4f5c-89f6-67ef48e47b81 · inbound

Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation cites this paper.

Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:56:00.946619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f832039-4be1-4871-9971-c2e261422ebb · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:12.288331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8612256-2995-42e0-b209-0720c58cc5bf · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:30.156628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd127eab-da1f-444a-a229-78c89f433375 · inbound

SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.

SS3D: End2End Self-Supervised 3D from Web Videos Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:27:59.596414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae1422d8-0391-44d9-bfca-be043a9aaa1c · inbound

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks cites this paper.

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.889293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.