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Paper Citation Record · LEDGER

Towards Autonomous Testing Agents via Conversational Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.05152.

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

pith.paper-citation-record.v1
2306.05152 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:41:48.938278Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:43:53.972829Z

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 9d3307ea-3a3c-4c95-8ef5-4a9e3599655c · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Towards Autonomous Testing Agents via Conversational Large Language Models

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:01.029014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:f05a042c944f9485d3cdec82200a5164a214a4daae7a0e85b80a8b1813bc6fd8

Observation 0c308c49-9b68-4b48-bcd4-e71be29c0d51 · inbound

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models cites this paper.

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models Towards Autonomous Testing Agents via Conversational Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:43:53.975571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T04:41:48.938278Z digest=sha256:ec109c9354ceeb4088a03043f3de0bea0f247695f1415dd95dd5a313f6a21862