Paper Citation Record · LEDGER

SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.07380.

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

pith.paper-citation-record.v1
2412.07380 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:16:04.540751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T00:09:14.101725Z

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 bd14ee1b-7159-41e1-b618-6feeb87f4fb4 · inbound

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

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T02:14:00.558854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a8a2d01d-fd47-46d7-99b3-fc45d1e23abd · inbound

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs cites this paper.

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:18.114378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882b4111-6ea8-4f56-ba30-ce1675d7b9c8 · inbound

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

Sampling from Your Language Model One Byte at a Time SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-29T02:14:00.558854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 177b353f-7c12-4c6f-9af9-c2c7d0b77b35 · inbound

CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models cites this paper.

CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:06:36.355261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f4afc6-240f-4fc2-b3ee-75c82bde4cd4 · inbound

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation cites this paper.

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:14.104292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 485ae6bc-8e11-4b5b-88ad-abe7f8164b49 · inbound

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting cites this paper.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.540751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.