Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.09949.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:08:32.429448Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:15:55.405856Z
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 03fa76b3-b28c-40ea-8665-8b6b53e40952 · inbound
A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.
A Survey on Retrieval-Augmented Text Generation for Large Language Models Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:15:55.408027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 23d74b5f-bf5f-4bce-996a-34dd554dca30 · inbound
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits cites this paper.
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Reference 165
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:41:36.736081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 59eb2179-36f8-44f9-b6d4-1b50760db016 · inbound
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:08:32.429448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9010e1f-f6a3-48b3-8276-ea68160cd5a8 · inbound
Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory cites this paper.
Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:49:40.767962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2fd83c7c-ff6c-4b54-a3a8-86eaff47d8a8 · inbound
RAG-Stack: Co-Optimizing RAG Serving Performance and Quality cites this paper.
RAG-Stack: Co-Optimizing RAG Serving Performance and Quality Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:13:14.133823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.