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Paper Citation Record · LEDGER

INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.11388.

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

pith.paper-citation-record.v1
2412.11388 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:27.804301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:17:02.560579Z

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 35cb5cdc-b3e8-4788-8bc7-41d82af74bcb · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:27.804301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.804301Z digest=sha256:88825a2d7d07cb7f8f88ab883a014c07e429f60da6925e944f267941beadda61

Observation 5db12b32-84d1-477b-a3d4-8f74a65d49bc · inbound

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools cites this paper.

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:17:02.563495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:12:50.314892Z digest=sha256:dda9e0323db08693d457cdb42c7739c2f1399c8100bcfc126b49118894040699