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Paper Citation Record · LEDGER

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.03777.

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

pith.paper-citation-record.v1
2410.03777 v2

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:17.969906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.093203Z

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 88662211-29b1-487b-956c-d31e2dfaa901 · inbound

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

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.693453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:95f236e0ab0eac5f44d00d04658fc5cc8247bc788923f2630f167b1d20a19ff8

Observation 024585ea-e184-4294-a088-1067809d069b · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:17.969906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:17.969906Z digest=sha256:b7bccef75cb7a2fd520158bdd09acd335461fb4632209b86c799e7756579ab82

Observation b4ed78c1-3bfb-4ffe-935a-9aac955e0b5d · 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 Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.415256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.415256Z digest=sha256:cde4adac2a73a7846c1a1c001f78680946cbeb9bf9a199c884fe7b71ec371030

Observation f59a44f5-1149-40c9-a0c1-02e617006080 · inbound

DLLG: Dynamic Logit-Level Gating of LLM Experts cites this paper.

DLLG: Dynamic Logit-Level Gating of LLM Experts Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.094447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:50:32.988192Z digest=sha256:ad31e313ae21d086d1e194686a1c7d612af526b5df1276aabd42d30da26daeea

Observation f447a65a-a3e8-4bb8-a499-dce8ee665cc4 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:57.457701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:57.457701Z digest=sha256:d9899c5a6bdee7006b7768e8856262f68b45d55850c02c8f5af9b2c9cfa6cb5a

Observation 72d87882-9f35-4459-bae2-1f357378d030 · inbound

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes cites this paper.

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T12:06:58.123255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:06:58.123255Z digest=sha256:dde8f59089c38862cf86c79ec3d218467430d6509575c50fd24ee7511fd1add7