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Paper Citation Record · LEDGER

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.09876.

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

pith.paper-citation-record.v1
2006.09876 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:19.635998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:20:54.772444Z

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 df5ec68e-4ceb-467f-b494-16d1d929fbd4 · inbound

Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications cites this paper.

Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:19.635998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:19.635998Z digest=sha256:e2e4af2cef058b529e4da8acd66cf5588301c7dbbf2ecf9c1de67526f1f75c0d

Observation a6911161-a018-415d-a187-9b462a024fe2 · inbound

LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation cites this paper.

LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:54.775139Z

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=2026-05-10T19:11:24.288208Z digest=sha256:8fda0188783158d02b54f221fd3fac3e012a4df01ff56e641552bb50fece2440