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Paper Citation Record · LEDGER

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08776.

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

pith.paper-citation-record.v1
2305.08776 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:48:01.018659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.312832Z

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 0c9919fb-f7bf-4afa-bc39-ee472085c9a0 · inbound

DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning cites this paper.

DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T21:48:01.018659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:48:01.018659Z digest=sha256:1bc8b538d4b6cecfb841d4df1eb80000bc2dc08c05a1cc1f56cc804c88256125

Observation 3bbaccfe-a163-475a-935e-19a409829759 · inbound

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition cites this paper.

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:24.065633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T13:41:49.665324Z digest=sha256:85cb0b06677c0fee2021b1538d152d9d3c4aaaaca4b1fe50fc7b723457bf7ed9

Observation 282ca7d2-8c23-4237-8bf0-122c2ad13ad1 · inbound

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition cites this paper.

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.315840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T09:15:58.967751Z digest=sha256:743df890d93ad85f03fc3597f5ea4522b6bafdc405b6ced75ca3a25c8eb125f0