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Paper Citation Record · LEDGER

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12408.

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

pith.paper-citation-record.v1
2402.12408 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 2026-08-06T15:06:48.106623Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:35:46.118059Z

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 a612cf60-e4e3-4447-9492-dc0a342bd879 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:48.106623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:48.106623Z digest=sha256:7029515bef8bbaa727741d9a65af6688b30764ced94f39d98e52f89a5124e405

Observation 9409f821-dd48-422e-a7dc-27226aac0ecf · inbound

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing cites this paper.

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:35:46.124039Z

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=2026-08-04T23:35:45.944501Z digest=sha256:418a07d21f1a28af0beb1d74d7f15258f4c55ccbce147131943ce0ea03b671a8