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Paper Citation Record · LEDGER

NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.02046.

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

pith.paper-citation-record.v1
2508.02046 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:41:25.756804Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T09:06:20.196667Z

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 a09aedbf-32ee-4d47-a8ec-a474c8bd9489 · inbound

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds cites this paper.

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T11:41:25.756804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:41:25.756804Z digest=sha256:9cef3c28a5ead7171a6cb86abc69a8fad517169a0e31b8231c4e4b5d784bc5e7

Observation 542e7f90-f859-412b-a28b-1e8777f54612 · inbound

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation cites this paper.

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T17:15:42.420887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:15:42.420887Z digest=sha256:8bc28dafec58db918706ab90f17e21e7314a28403f779a244fff0d146f670130

Observation efb8161c-b4ab-45c7-9342-285ea02de4ea · inbound

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation cites this paper.

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T05:43:10.649390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:43:10.649390Z digest=sha256:58d9ce72f0ff5c3adbc9572e9393dbafb91e9c31ef863771c2657543c271a76f

Observation a48fa7af-132d-451f-a334-e21586d1ac09 · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:49:53.881878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:cc7fe7508f844411161843d330f0d6bd73ca764ee38926319764f0397a7b4daa

Observation cc0cdb18-3e2a-4c25-bbde-e8b331d4a0a6 · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:06:20.198974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:2a0ee8b961ecf21a70a473e0ece6dc9d4010f43e2fd0f73392833ff7c5b0e758