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Paper Citation Record · LEDGER

DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.02730.

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

pith.paper-citation-record.v1
2410.02730 v3

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:09:58.605527Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:05:04.239171Z

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 f2bd4d8b-a7fe-4b2f-8f88-96b6bf53889d · inbound

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:32:22.388298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T01:27:33.123243Z digest=sha256:ae71a75d12d67e3f86f37b751c8c378a76ab48d091c1cdb0885e097b5a27913c

Observation 41a2d859-ca52-4276-a622-872da0c60972 · inbound

Safety of Embodied Navigation: A Survey cites this paper.

Safety of Embodied Navigation: A Survey DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T23:09:58.605527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:09:58.605527Z digest=sha256:fcbd585bb39398d1718b737cd48fe51c7c80cb9573d2a5845be74b6e774c4053

Observation 601315d0-e27a-42a8-a77c-0397f4d7778c · inbound

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation cites this paper.

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:01.492076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:01:13.350219Z digest=sha256:34418b1c78d6f6445171e8982cf6c4a2686154a14a49b7ee362702ea37ce1fda

Observation 933d52f6-dc10-4762-bd09-52a2526859a7 · inbound

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:05:04.240851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:00:25.664841Z digest=sha256:e246a4f9b0c60510424dd3f9b320133d859830140116eb5fe3835f9b0e7f44d3