Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2603.23800.

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

pith.paper-citation-record.v1
2603.23800 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:22:24.103426Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b64e039-d445-47af-a09a-eac8569e6a7d · outbound

This paper cites Cognitive planning for object goal navigation using generative AI models.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Cognitive planning for object goal navigation using generative AI models

Reference 1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ba7ca4-a81e-4840-b318-730a83ecc1ac · outbound

This paper cites Have LLMs advanced enough? A challenging problem solv- ing benchmark for large language models.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Have LLMs advanced enough? A challenging problem solv- ing benchmark for large language models

Reference 2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cf27a9-9ac4-44a9-9226-cf4345fd9ad8 · outbound

This paper cites Large Language Models and Mathematical Reasoning Failures.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Large Language Models and Mathematical Reasoning Failures

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4cbb3be-3f40-4651-9f38-aae92cc29761 · outbound

This paper cites Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation

Reference 4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca86cc9-a435-4ed5-af94-f99d4b41f287 · outbound

This paper cites Commonsense Scene Graph-based Target Localization for Object Search.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Commonsense Scene Graph-based Target Localization for Object Search

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3dee278-c4b7-476b-b65a-212662daeaf7 · outbound

This paper cites an unresolved cited work.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Unresolved cited work

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2e08ff-db69-442d-99eb-d64d83403351 · outbound

This paper cites Zero-Label Prompt Selection.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Zero-Label Prompt Selection

Reference 7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25bd579-2770-4edb-9de0-1dd8ab5c268c · outbound

This paper cites ELHPlan: Efficient long- horizon task planning for multi-agent collaboration.arXiv preprint arXiv:2509.24230,.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection ELHPlan: Efficient long- horizon task planning for multi-agent collaboration.arXiv preprint arXiv:2509.24230,

Reference 8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8799e122-02e0-4893-b54a-b8a035c51967 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21272817-a008-4435-ac96-b4ca5ab75c3f · outbound

This paper cites an unresolved cited work.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Unresolved cited work

Reference 10

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af255ed-6ef1-4c51-9811-987fcdaf7d25 · outbound

This paper cites A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs

Reference 11

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6087556-e243-464f-9c77-8d6a85d22eb7 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 12

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4157b730-61af-4339-a460-056f67709e7b · outbound

This paper cites PDDL planning with pretrained large language models.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection PDDL planning with pretrained large language models

Reference 13

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ee6691-8ba5-4ddf-b133-53fe0139f628 · outbound

This paper cites An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Reference 14

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d21ba9-df58-4044-b970-c8d1bc4546f9 · outbound

This paper cites Large lan- guage models still can’t plan (A benchmark for LLMs on planning and reasoning about change).

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Large lan- guage models still can’t plan (A benchmark for LLMs on planning and reasoning about change)

Reference 15

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models.

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.

Observation 4f0e0b1b-b7ff-4b0d-85de-c8b14f73ecbf · outbound

This paper cites Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis.

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis

Reference 17

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.