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Paper Citation Record · LEDGER

Multi-LLM Text Summarization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15487.

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

pith.paper-citation-record.v1
2412.15487 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.727238Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:03:45.910090Z

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 9edf4e61-f9f2-4055-b187-8a93257cf136 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Multi-LLM Text Summarization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.727238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.727238Z digest=sha256:0e83dceb81ed76259d08e47c4f1e696d458b733867c8a162773917f024c3424d

Observation 0ebb9f26-90bd-4cc6-ae47-525b2291110d · inbound

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India cites this paper.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Multi-LLM Text Summarization

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:03:45.949188Z

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=2026-08-04T21:03:44.243276Z digest=sha256:9fdb09111d099ad87588e9806b8380b729de50e9e44532e2c709cfc178c28685