Pith. sign in

Paper Citation Record · LEDGER

World-aware Planning Narratives Enhance Large Vision-Language Model Planner

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2506.21230.

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

pith.paper-citation-record.v1
2506.21230 v2

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 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:20:28.783190Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f7ff103-c7ab-4079-afb0-2567945664ac · inbound

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning cites this paper.

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:15:57.134078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:15:08.727921Z digest=sha256:9492ae00d9987c8d608471ec0c2ca6a148737606caee2c03bb5ab5cc5bd5c373

Observation e3491988-4de1-44a1-8b67-c819afba61f6 · inbound

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding cites this paper.

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:41:27.381012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T05:01:38.118237Z digest=sha256:bfa4f86f43de7d40ce9898c15168597db92a21743f1c38587ee9cb4d35377234

Observation 29ca3054-39fb-4543-a6c8-c581d0628813 · inbound

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy cites this paper.

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-26T04:58:59.463811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T04:52:51.524022Z digest=sha256:e5372f597fa285d51a3e94fc3c63106e6329227b689b26a81856a6f10369583f

Observation f2ebcc77-e075-441f-89db-9aeb21e22657 · inbound

Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs cites this paper.

Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.520601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T10:54:16.265155Z digest=sha256:8bfa8d785ee6b8f5b69d82bc7c595052606d63566d5eb54140fe49f8d185f861

Observation dac92dea-1484-4b2f-a60b-e83e0e90f2e4 · inbound

UniETP: Unifying Environments for Generalizable Embodied Task Planning cites this paper.

UniETP: Unifying Environments for Generalizable Embodied Task Planning World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T16:20:28.783190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:20:28.783190Z digest=sha256:72bd4f60997b7da820912bcea6dca332f5b55964af9531e1ddefda575bd24a46