Paper Citation Record · LEDGER

Cool-Fusion: Fuse Large Language Models without Training

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.19807.

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

pith.paper-citation-record.v1
2407.19807 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:08:56.464820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:25:19.700058Z

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 f14a627f-2ffa-4ebd-8f69-a74561287010 · inbound

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning cites this paper.

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning Cool-Fusion: Fuse Large Language Models without Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T11:08:56.464820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c7906f-5175-4efd-90b1-1b25d6c128b0 · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Cool-Fusion: Fuse Large Language Models without Training

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.703306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7695c766-7409-4cd8-8e72-f222de5f6373 · inbound

Sampling from Your Language Model One Byte at a Time cites this paper.

Sampling from Your Language Model One Byte at a Time Cool-Fusion: Fuse Large Language Models without Training

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:53:02.111996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e89f12e-e1da-4938-995a-5c759c8e5f21 · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Cool-Fusion: Fuse Large Language Models without Training

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.678914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.