Pith. sign in

Paper Citation Record · LEDGER

LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.14043.

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

pith.paper-citation-record.v1
2404.14043 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:15:25.140087Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:26:57.477783Z

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 e7251e4e-61b9-4566-93c5-0d6f3a3552ba · inbound

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models cites this paper.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T10:15:25.140087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.140087Z digest=sha256:ceff8994312ad23f050e0287410fb171d8dc1349c88ea1c9225a831b0c9f0bad

Observation 12ec2e67-075e-47ab-abfa-06ad39c6621f · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

Reference 114

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:26:57.487473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:26:56.926198Z digest=sha256:823d39da35b11aedc90f9c63853881f144fabae1b38e96a9ac0ca9361e9134ad

Observation 0da81f6c-d815-4903-b2da-22133e708882 · inbound

GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling cites this paper.

GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T23:19:32.665793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:19:32.665793Z digest=sha256:164651f121991353afa1fe011b97237f6da1cd5140631352bc6beb6a94dc5960