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Paper Citation Record · LEDGER

Grounding Classical Task Planners via Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.08587.

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

pith.paper-citation-record.v1
2304.08587 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:34.060438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.276927Z

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 ad5146b5-7b0e-43c3-9812-c5cdfc160910 · inbound

OpenVLA: An Open-Source Vision-Language-Action Model cites this paper.

OpenVLA: An Open-Source Vision-Language-Action Model Grounding Classical Task Planners via Vision-Language Models

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:46:36.449759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T14:46:35.942338Z digest=sha256:377fdc5e77d564291510d60d1ed085c1eaf128e7289f05a0fe2cb1afd5bf3e60

Observation d0f310ed-3683-457b-8686-9e2fff4c0fed · inbound

ConditionNET: Learning Preconditions and Effects for Execution Monitoring cites this paper.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Grounding Classical Task Planners via Vision-Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T16:25:31.812157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:25:31.812157Z digest=sha256:8c4508ce4dc91aa88e0c3a4071a42e6479f75ef997303225da79b24623668803

Observation 046b8264-d2ad-4fc3-9e04-8c2ab755c5c3 · inbound

Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations cites this paper.

Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations Grounding Classical Task Planners via Vision-Language Models

Reference 680

Resolution
unresolved
no resolver link, observed 2026-08-15T23:31:34.060438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:34.060438Z digest=sha256:05b675ca2e506a3c9e01f85079c863484471f29e827539d3950f042ae8156251

Observation ad88c057-3e29-4810-bd3b-e4588f0197a1 · inbound

Multimodal Anomaly Detection with a Mixture-of-Experts cites this paper.

Multimodal Anomaly Detection with a Mixture-of-Experts Grounding Classical Task Planners via Vision-Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.686882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.686882Z digest=sha256:4f8f4422951b2dc1d37087a979570a829e519b260eefea206bf166206bc54cd3

Observation b6b4c4b3-0ffd-4298-adb1-c0bd95ba3d7e · inbound

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots cites this paper.

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots Grounding Classical Task Planners via Vision-Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:20.711923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:20.711923Z digest=sha256:095ab022c11cb6016d2130e49590302138698b394763e7b16a1d1e6c86c525e2

Observation bc6ddcd7-1fa1-4498-b358-8f7fe2c838be · inbound

Augmented Vision-Language Models: A Systematic Review cites this paper.

Augmented Vision-Language Models: A Systematic Review Grounding Classical Task Planners via Vision-Language Models

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-06T14:33:44.698705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:33:44.698705Z digest=sha256:f07aeeec1861fe8d88a05e0236303b3e80f437b43ff648f450458fc7e58fde02

Observation 274813c4-d68f-485c-86d6-adaa706c12bd · inbound

Tactile Modality Fusion for Vision-Language-Action Models cites this paper.

Tactile Modality Fusion for Vision-Language-Action Models Grounding Classical Task Planners via Vision-Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-02T18:13:11.550160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:13:11.550160Z digest=sha256:3e00c8647f08260360fd6c8d07f73413ed5222fe98730df10d14c5f6aef32a44

Observation d17f635d-3a91-42a9-9187-234f39b04d0b · inbound

SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments cites this paper.

SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments Grounding Classical Task Planners via Vision-Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.278639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T10:57:26.511652Z digest=sha256:6692cd787448137f2acc940ee8da874e183f39688dfa0c6714714a15fb1e47a1

Observation f94fd2c5-249f-496c-950d-5e6605d9e230 · inbound

Vision-Language Models for Deployable Social Robot Navigation: Bridging Semantic Reasoning and Low-Level Control cites this paper.

Vision-Language Models for Deployable Social Robot Navigation: Bridging Semantic Reasoning and Low-Level Control Grounding Classical Task Planners via Vision-Language Models

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T09:54:34.573988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T09:52:51.549135Z digest=sha256:8327bf30b101c4b0aac11bde9c206dfd947b1a8e1e9afadd2d9d0a0935dfcd1b