Paper Citation Record · LEDGER

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2605.26333.

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

pith.paper-citation-record.v1
2605.26333 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:21:45.412616Z

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 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

6 of 6 outbound references displayed

verified exact3
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c458bb32-e251-4b69-8616-1d8656a11fee · outbound

This paper cites Onlabs Virtual Laboratory,.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning Onlabs Virtual Laboratory,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T21:21:45.412616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff5f9a1-93ce-4990-9f19-baf398000339 · outbound

This paper cites PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:58.747294Z

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.

Observation 73fd6e68-1a0a-45ef-aa3b-c2354ed2a511 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:23:58.741488Z

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.

Observation 4bb5b0d1-107e-49e6-8758-2f123c58f9c1 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:23:58.738883Z

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.

Observation 3aaf81f9-1e02-4954-a4d4-89c19bc793d7 · outbound

This paper cites A Comprehensive Review of Information Uncer- tainty Modelling in Domain Ontologies,.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning A Comprehensive Review of Information Uncer- tainty Modelling in Domain Ontologies,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T21:21:45.412616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54acb188-4c19-4dea-a35d-f262e75636cf · outbound

This paper cites A Neurosymbolic Approach to Natural Language Formalization and Verification.

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning A Neurosymbolic Approach to Natural Language Formalization and Verification

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-15T01:20:49.585649Z

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.

Pith citing papers

No inbound Pith citation observations are available.