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Paper Citation Record · LEDGER

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.19471.

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

pith.paper-citation-record.v1
2409.19471 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:10.228538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:11:47.452105Z

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 53546894-2b4c-4d8e-b389-59bc75be36b0 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 285

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:10.228538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:10.228538Z digest=sha256:99601d92fa018c96a3961c73267e9b10ca88ae7017dd51bc30abc32073af824c

Observation c0a99d20-8724-49e5-8f18-a6012059ece4 · inbound

CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation cites this paper.

CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T04:32:11.304513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:32:11.304513Z digest=sha256:3f916022f02b67db930cb63de2d657246f15d7879563bcde014b12c14525862b

Observation f3c5224f-74fc-4c64-bc64-34fe76cf59ff · inbound

Constrained Decoding for Safe Robot Navigation Foundation Models cites this paper.

Constrained Decoding for Safe Robot Navigation Foundation Models SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:11:47.454375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T19:07:18.832187Z digest=sha256:69dea3ac2e2ca2505f1f48425193dea4dce6b8ebe74d26f0d75d7c1966d4ec27

Observation 80e69545-a4cb-49b8-8520-6b663f96b61d · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 237

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:35.003776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:35.003776Z digest=sha256:0263006e0ebf0ba71cbdbc5e3bf1276fa9060c9717a0e09115bf6b6b58533665

Observation 62567796-1849-494c-a10f-c081627de1d1 · inbound

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection cites this paper.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-13T19:22:24.103426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:22:24.103426Z digest=sha256:329422a5b4b029c4c48734990edbb830540304a9c6be497804b62ff19769e10e

Observation bc0a3b0b-fff8-4f04-a2a8-4343335e2186 · inbound

Pre-Execution Safety Gate & Task Safety Contracts for LLM-Controlled Robot Systems cites this paper.

Pre-Execution Safety Gate & Task Safety Contracts for LLM-Controlled Robot Systems SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:40:51.626926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:38:32.567165Z digest=sha256:092ae97932cffd31b7e91d8e82191868e4f24592781f2fe4957b3295e644ab3c