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Paper Citation Record · LEDGER

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.12715.

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

pith.paper-citation-record.v1
2404.12715 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:39:14.051166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:29:34.446281Z

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 4811b10c-5cb9-4b9a-a43e-7fcf1024659a · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:29:34.448840Z

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.

source=pdf_text observed=2026-05-16T19:29:34.379712Z digest=sha256:561735e9ff54279b00658f6d6eaa7fd511d0c883d687c7e37e019f8683464352

Observation 0854f7bf-941b-457e-9c80-7013be8bdfc7 · inbound

Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models cites this paper.

Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-12T13:21:28.081674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:21:28.081674Z digest=sha256:f8675932821f8352bdda813d22dcc15b209c306bfae763c3149eaa3bc724ce54

Observation 82fa3219-812f-452b-b444-745fad4d90ba · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T13:08:22.569826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:08:22.569826Z digest=sha256:b18a9cd764aad4c686af3284b48f2a3a89e170d228893b571d20e7d58730a6df

Observation fce17436-6f87-440d-9ae5-f4ac0a97158e · inbound

Position: Enough of Scaling LLMs! Lets Focus on Downscaling cites this paper.

Position: Enough of Scaling LLMs! Lets Focus on Downscaling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:39:14.051166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:39:14.051166Z digest=sha256:79c1e973603862ba90fbb25ccce08a887a4557c1880397caf7f2f01b9ece778d

Observation 423ccf42-dfab-45af-983c-70023554c593 · inbound

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units cites this paper.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:45.589412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:45.589412Z digest=sha256:b4e0cf6c3346f80ac32355e917acbb8a52eca2d24389c8fa7d8a3f5463a5240a