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Paper Citation Record · LEDGER

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.18651.

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

pith.paper-citation-record.v1
2311.18651 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:00:13.133298Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:44:27.720983Z

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 00724cc9-3e76-4be1-8cf0-424535d3040e · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:56:41.961493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:2540cb2cb72da24d19415597de98b97f0130231d8bc35f1d95353553976085e8

Observation ff6de004-3de8-42cc-926a-e86596b02e19 · inbound

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM cites this paper.

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:32:59.427774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T21:31:00.764078Z digest=sha256:220e5c905e430f3474b59b63e821495e3fda9e5715561117403f379bb0d5f71f

Observation a2afa665-baad-425e-b50c-3ecf9f2afe46 · inbound

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models cites this paper.

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:44:27.722540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T02:44:00.608590Z digest=sha256:50591aa5cd357dd554ae435829e8bac3e800f7f2c063b828ebdf80ae460df53a

Observation fe8d2d96-fa5a-47ef-ad23-3c8e8a611cee · inbound

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models cites this paper.

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T16:00:13.133298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:00:13.133298Z digest=sha256:ac4bd658fa7b9f201701e89d0815fa1f0750767e538f07b2c51e7ee4bb757e6d