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Paper Citation Record · LEDGER

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.02829.

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

pith.paper-citation-record.v1
2411.02829 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:21.669588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.102369Z

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 9d0856ff-9b02-4b2d-80a0-05f524d75af0 · inbound

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration cites this paper.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:21.669588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:21.669588Z digest=sha256:16e067bb990249feff5d183a211050feaabab750430ca0e0db90a2711a84b920

Observation c8a1c90e-e5fb-42f2-9c97-bbd77333dd01 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 155

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:34.216724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:34.216724Z digest=sha256:58c3cd21ad181a47bf741ed1db0f4775594911b30bd5490409607763abc604dd

Observation ca2b957f-d0f3-424e-a3e1-145db40ca7fd · 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 CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.886004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.886004Z digest=sha256:b2f4c7708f3008b7c47cf038cda459bebde8b42f830006f85307f73b80bd3c5e

Observation fbda810f-7edb-4d49-82a2-184c094cf9f9 · inbound

Orchestration for Domain-specific Edge-Cloud Language Models cites this paper.

Orchestration for Domain-specific Edge-Cloud Language Models CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:14.363477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:14.363477Z digest=sha256:f4d7b699ddb0a54e7d422c1edfaf76869f059921c7bd0fe5ace9fc5336f7329d

Observation b00c00ef-973d-423d-8753-57b5903ac6f0 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:47.855749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:47.855749Z digest=sha256:7345ae36358d8ca65ddc690e1afecb8bb3c9dc05ceb09398fee1e2411c475025

Observation 362a7aa6-3502-458b-9d6f-cd33b3dc6442 · inbound

Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training cites this paper.

Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T14:43:54.496833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:43:54.496833Z digest=sha256:93b9d9a1ceafba52c3090703df201020f2de53c61924f97f9486608b8b3bd619

Observation b142e5f8-67fb-4ed2-955b-b1203d0c774c · inbound

Lever: Speculative LLM Inference on Smartphones cites this paper.

Lever: Speculative LLM Inference on Smartphones CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:47:48.472228Z

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=2026-05-19T21:44:11.735963Z digest=sha256:0ba3834551b8fa2abcafdb62acc3897c7b0ee44a35363c01e8aa1ce89e8933b7

Observation 44227d49-dde3-48fa-b548-10141b794191 · inbound

Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing cites this paper.

Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.104069Z

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=2026-06-26T09:34:00.058213Z digest=sha256:35181dc6bb5f198c6cfdebf86c393e8d30938b96c6a09ac48d7a5bc15fc64c44