Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.03868.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:48:37.037252Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 504ddc93-c9a0-433d-b84c-e22f3d5b55d2 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Reference 296
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:39:33.567351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6dfd2ad1-fb32-4612-b4f9-0871b5a990d0 · inbound
Reference-Augmented Learning for Precise Tracking Policy of Tendon-Driven Continuum Robots cites this paper.
Reference-Augmented Learning for Precise Tracking Policy of Tendon-Driven Continuum Robots FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:34.595676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4bab2019-eb8f-4f9b-a17c-5d188dbb9043 · inbound
NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference cites this paper.
NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T02:59:50.500572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5c80405d-54c1-4735-8087-720c4a6538f4 · inbound
ELiTeFormer: An Efficient Transformer for FPGAs cites this paper.
ELiTeFormer: An Efficient Transformer for FPGAs FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:55:09.690245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42076615-39d6-4aac-b043-0079714b0cd1 · inbound
When Does Disaggregation Pay? Simulating Prefill--Decode--Attention--FFN Specialization for Agentic LLM Inference cites this paper.
When Does Disaggregation Pay? Simulating Prefill--Decode--Attention--FFN Specialization for Agentic LLM Inference FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:48:37.037252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.