Pith. sign in

Paper Citation Record · LEDGER

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.04746.

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

pith.paper-citation-record.v1
2403.04746 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:46.936577Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:18:41.756866Z

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 24dc9495-3c69-4b8c-aa3c-958bd5a0408e · inbound

The Curious Language Model: Strategic Test-Time Information Acquisition cites this paper.

The Curious Language Model: Strategic Test-Time Information Acquisition LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.936577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.936577Z digest=sha256:901fd616faa797ccc89cd469a623c42cc937004bb83ba37cd7c4d40d43bad0f3

Observation 3d2fe1c4-0a8c-4ee2-bfd4-ebe8f53cfd67 · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:18:41.874604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:18:39.029360Z digest=sha256:15d20c18a0533c578c49c228a5e6b24fae072d230f931a8bf6af43e2da45b3ac