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Paper Citation Record · LEDGER

Learning to Decode Collaboratively with Multiple Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.03870.

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

pith.paper-citation-record.v1
2403.03870 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:58:45.740288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:48:20.393663Z

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 b4012ad1-5d85-4e2c-9d01-0df1bc3e09c4 · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Learning to Decode Collaboratively with Multiple Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.396667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:e1510570324f121da262a4c1a9e5c2943810963514deff1de570d6c7c26ac213

Observation 8a3b78a4-639f-4299-8619-f8b53334dda9 · inbound

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing cites this paper.

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Learning to Decode Collaboratively with Multiple Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T13:58:45.740288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:58:45.740288Z digest=sha256:68dabaeb6fa31e1e73553264c460a64003f37a54118e6f1a2aaedec49be1fcce

Observation fc98d788-8b36-42c7-a4c7-ad99c46bcb3f · inbound

COSMosFL: Ensemble of Small Language Models for Fault Localisation cites this paper.

COSMosFL: Ensemble of Small Language Models for Fault Localisation Learning to Decode Collaboratively with Multiple Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T10:44:43.496424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:44:43.496424Z digest=sha256:6dd67ed9f0fe7589b0f2812973bb7ff71843746eb4a83691fc61787f77ee20fc

Observation 8bf3fcc9-c6cd-4230-b1a4-87f0e2fe7478 · inbound

Speeding up Speculative Decoding via Sequential Approximate Verification cites this paper.

Speeding up Speculative Decoding via Sequential Approximate Verification Learning to Decode Collaboratively with Multiple Language Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.495145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.495145Z digest=sha256:09e71d274f2d16d6915935b32effa0de87ba89332a7fe22d9a3506ee7583dd1d

Observation e738b2c6-01bb-42f5-99ca-b0dbfa6622b1 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Learning to Decode Collaboratively with Multiple Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:44.627016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:44.627016Z digest=sha256:86211447594645b72b07e7b8b9260fe48373654f2e6d3ff7fa9fcfab0347ada7

Observation bb353af5-3cf3-466e-8c95-3b4dac7ae297 · inbound

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations cites this paper.

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations Learning to Decode Collaboratively with Multiple Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:50.661630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:50.661630Z digest=sha256:b911bb762dbeb160d1537ae7c78871175d546125f7b8c89f634ce4f576273391

Observation 92e8a7bb-c1f2-4b85-977f-36d960b88dfc · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Learning to Decode Collaboratively with Multiple Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:18.590507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:18.590507Z digest=sha256:58b942c7ac4ad4f5930cd77e532c7682c1a417aaeaf7d1035af0ab8c87e7f387

Observation e645b681-f8d5-4868-9005-3bcffac7dec8 · 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 Learning to Decode Collaboratively with Multiple Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.673666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.673666Z digest=sha256:f1876ce7eed8a16dc2bb0bde983787d01d3131c1350a477d4cba4213a6611349

Observation c0a8c4d2-2fc9-46c6-922a-346fe07c2df7 · 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 Learning to Decode Collaboratively with Multiple Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:47.253931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.253931Z digest=sha256:18966b86d7a1f9cfa37dbeabe1c8ca2f508419f44fd2d7d74851679fc31f751b

Observation a57438e5-8adf-41b2-a66c-fc8ac83177bc · inbound

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference cites this paper.

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference Learning to Decode Collaboratively with Multiple Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T10:14:14.517955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:14:14.517955Z digest=sha256:63ec6999a6432f40d4d8dc4a9a60476ff5bc8933b66ac0e83409c9daa2900c62

Observation 0edff86b-d0fd-4f43-b954-97d849ed9dd5 · inbound

Inference-Time Consensus for Mitigating Hidden Behaviors from LLM Fine-Tuning cites this paper.

Inference-Time Consensus for Mitigating Hidden Behaviors from LLM Fine-Tuning Learning to Decode Collaboratively with Multiple Language Models

Reference 1948

Resolution
unresolved
no resolver link, observed 2026-07-30T23:28:39.340462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:28:39.340462Z digest=sha256:5be5418c82ce7ca8e8de23bedcff16b029b8502996db6f13455d2318a146a87f