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Paper Citation Record · LEDGER

3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03201.

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

pith.paper-citation-record.v1
2401.03201 v2

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:14.100701Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:42:13.500312Z

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 477b6121-dda0-4230-a3af-7ebb78398485 · inbound

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering cites this paper.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:14.100701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:14.100701Z digest=sha256:7d17f2eb81d0e08a33ada31d7790920ba2497ee3dd48c2d543927a7078ee85d0

Observation 362f372f-b1d3-4e5f-a3aa-0d1015d2618b · 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 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:21.293763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:21.293763Z digest=sha256:f526a2522c1a4323582393153ce904a034655241dd42090503eb1ef757f4de63

Observation d3b3f86e-6d05-4acb-b267-7eb0d3c59729 · inbound

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models cites this paper.

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:42:13.504087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T16:42:13.263453Z digest=sha256:4461c23f982cb291d45325ea1438602d88992bd3e883b233c444b39da12d78d3