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Paper Citation Record · LEDGER

Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.17427.

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

pith.paper-citation-record.v1
2405.17427 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:21.243530Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:37:21.949316Z

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 042d3286-fb21-4c1f-ab19-3971b06480f7 · inbound

SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes cites this paper.

SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:37:22.046731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:37:21.243530Z digest=sha256:397b9137be6484b1c185947cab25ac12e3ab32ab476d936522087ba4bc9942a0

Observation 08dc9d04-6e6d-420a-917d-7d861e367414 · inbound

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM cites this paper.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:00:06.887909Z digest=sha256:1100b2cc1f812f83d0bb896f7ccba07a38a21e14d29954ffadc48c7cd9e0f7b6