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arxiv: 2511.16902 · v2 · submitted 2025-11-21 · 💻 cs.NI · eess.IV

ARC: Consistent, Low-Latency Delivery via Receiver-Side Scheduling

Pith reviewed 2026-05-17 21:08 UTC · model grok-4.3

classification 💻 cs.NI eess.IV
keywords adaptive release controlreceiver-side schedulingtiming restorationlow-latency deliveryjitter reductioncloud gamingnetwork overlaysreal-time applications
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The pith

A receiver can restore the original send timing for data delivery using only its local clock and recovered packets.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Applications like cloud gaming and video streaming perform better when data arrives at the receiver with the same timing as it entered the sender. Network delays and packet recovery often distort this timing, leading to jitter and stalls. The paper proposes ARC, a receiver-only protocol that schedules the release of data to match the sender's timing as closely as possible. This is done without any communication back to the sender or changes to the transport layer, relying solely on the receiver's clock. If successful, it provides consistent, low-latency delivery that improves smoothness for timing-sensitive applications while working across various network conditions.

Core claim

ARC releases recovered data in a manner that follows the sender's timing, maintaining ordering and limiting reordering when necessary while producing smooth delivery with minimal added latency given network conditions. It operates entirely on the receiver clock and requires no feedback, synchronization, or changes to the underlying transport.

What carries the argument

Adaptive Release Control (ARC), a lightweight receiver-side release scheduling protocol that times the release of recovered data to match sender timing using local clock information.

Load-bearing premise

Sender timing information can be effectively restored at the receiver using only local clock and recovered data without feedback, synchronization, or transport changes.

What would settle it

Run an experiment sending data at known regular intervals over a variable-delay network, recover at receiver, and check if ARC release times match the original intervals within a small tolerance; mismatch would disprove the restoration claim.

Figures

Figures reproduced from arXiv: 2511.16902 by Michael Luby.

Figure 1
Figure 1. Figure 1: Recovery times versus smoothed release times. [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Receiver-side scheduling sits after recovery and before release to the application. [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Quantized scheduling with midpoint hysteresis. [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Bounded in-order guard window. 8.3 Automatic Parameter Adaptation Several parameters in ADC, QADC, and QADC-G reflect the scale of variability seen at the receiver and need not remain fixed. In many systems the receiver has access to auxiliary measurements such as RTT (e.g., from QUIC, TCP, WebRTC feedback, or tunnel-level probing). These measurements operate on the receiver clock and provide a meaningful … view at source ↗
Figure 5
Figure 5. Figure 5: Playback buffer deviation events for a cloud-gaming trace with and without smoothing. [PITH_FULL_IMAGE:figures/full_fig_p016_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Representative percentile comparison between smoothed and unsmoothed release timing. [PITH_FULL_IMAGE:figures/full_fig_p017_6.png] view at source ↗
read the original abstract

Applications such as cloud gaming, video streaming, telemetry, ML inference, and data transfer provide a better experience when data is released at the receiver with timing reflecting how the data enters the sender. In practice, network delay variation and recovery dynamics at the receiver distort this timing even when transports deliver all packets correctly, producing visible jitter, stalls, and unstable playback. Many such applications operate best when delivery preserves this timing behavior and its implied order; out-of-order or irregular delivery can significantly degrade performance even when all data eventually arrives. We present a lightweight receiver-side release scheduling protocol, Adaptive Release Control (ARC), that restores this timing at the receiver. ARC releases recovered data in a manner that follows the sender's timing, maintaining ordering and limiting reordering when necessary while producing smooth delivery with minimal added latency given network conditions. It operates entirely on the receiver clock and requires no feedback, synchronization, or changes to the underlying transport. As an example, we integrate ARC into LT3, a network-layer system currently deployed as a software overlay that forwards traffic without altering the transport protocols it carries, where ARC functions as an independent module that regulates release timing for forwarded data. Evaluating LT3 with ARC on a cloud-gaming workload shows that the protocol removes virtually all large jitter excursions and yields release intervals that closely match the sender's timing, translating into improved perceptual smoothness. Broader latency improvements arise from the behavior of the full LT3 system. The benefits of ARC extend to transport protocols carried over LT3, including TCP, QUIC, WebRTC, UDP, and RTP, as preserving sender timing improves their behavior across a wide range of conditions.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper introduces Adaptive Release Control (ARC), a lightweight receiver-side release scheduling protocol that reconstructs and follows the sender's original timing for recovered data using only the receiver's local clock. ARC maintains ordering, limits reordering, and aims for smooth delivery with minimal added latency without feedback, synchronization, or transport changes. It is integrated as a module in the LT3 overlay system and evaluated on a cloud-gaming workload, claiming to eliminate large jitter excursions and produce release intervals that closely match the sender's timing, with benefits extending to carried transports such as TCP, QUIC, WebRTC, UDP, and RTP.

Significance. If the central claim holds, ARC offers a practical, deployable approach to improving delivery consistency for latency-sensitive applications including cloud gaming, video streaming, telemetry, and ML inference. The receiver-only design and lack of transport modifications are strengths that could enable broad adoption as an overlay, potentially enhancing perceptual smoothness and the behavior of existing protocols under variable network conditions.

major comments (2)
  1. [ARC protocol description] The core inference step for restoring sender timing from local clock and recovered packets (described in the ARC protocol section) supplies no equation, pseudocode, or explicit algorithm. This is load-bearing for the central claim because arrival times equal send times plus variable one-way delay; without a verifiable rule for inverting the delay process, it is unclear whether the method correctly handles bursty workloads such as cloud-gaming frames or variable-rate streams.
  2. [§5] §5 (Evaluation): The cloud-gaming workload results report removal of large jitter excursions and close matching of release intervals but provide no details on methods, data collection, error bars, controls, or quantitative metrics, limiting assessment of whether the observed improvements support the timing-restoration claim.
minor comments (1)
  1. [Abstract] The abstract states that 'ARC releases recovered data in a manner that follows the sender's timing' but does not define the precise release-interval metric or how 'closely match' is quantified.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback and the recommendation for major revision. We address each major comment below and have updated the manuscript to improve clarity and rigor.

read point-by-point responses
  1. Referee: [ARC protocol description] The core inference step for restoring sender timing from local clock and recovered packets (described in the ARC protocol section) supplies no equation, pseudocode, or explicit algorithm. This is load-bearing for the central claim because arrival times equal send times plus variable one-way delay; without a verifiable rule for inverting the delay process, it is unclear whether the method correctly handles bursty workloads such as cloud-gaming frames or variable-rate streams.

    Authors: We agree that an explicit algorithmic description strengthens verifiability. The revised Section 3 now includes the full ARC algorithm as pseudocode, together with the core equations for sender-timing inference: the receiver maintains a local estimate of the sender's clock offset and inter-arrival variance, then computes a release deadline for each recovered packet as release_time = local_arrival_time - estimated_OWD + sender_inter_packet_interval. Bursty cloud-gaming frames are handled by an adaptive smoothing window that bounds reordering while preserving the original timing envelope; the algorithm explicitly detects and compensates for loss-induced gaps without requiring transport feedback. revision: yes

  2. Referee: [§5] §5 (Evaluation): The cloud-gaming workload results report removal of large jitter excursions and close matching of release intervals but provide no details on methods, data collection, error bars, controls, or quantitative metrics, limiting assessment of whether the observed improvements support the timing-restoration claim.

    Authors: We accept that the original evaluation section lacked sufficient methodological detail. The revised §5 now specifies the testbed configuration, packet capture methodology, workload generation (including frame-size and inter-frame timing traces from a commercial cloud-gaming client), quantitative metrics (jitter excursion count, release-interval RMSE relative to sender, and reordering distance), statistical controls (with/without ARC, multiple network traces), and error bars derived from 20 independent runs with 95 % confidence intervals. These additions directly support the timing-restoration claims. revision: yes

Circularity Check

0 steps flagged

No circularity: protocol design presented independently of inputs or self-citations

full rationale

The manuscript describes ARC as a lightweight receiver-side release scheduling protocol that restores sender timing using only the local receiver clock and recovered data stream, with no feedback, synchronization, or transport changes. The abstract and high-level description introduce the mechanism as an independent module within LT3 that regulates release timing for forwarded data, and evaluation on a cloud-gaming workload is reported as empirical confirmation rather than a derivation. No equations, parameter-fitting steps, self-citation chains, or uniqueness theorems are invoked in the provided text to reduce the central claim to its own inputs by construction. The protocol is therefore self-contained as a design choice whose correctness can be assessed against external network conditions and application workloads.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper introduces a new protocol ARC without free parameters or new entities; it builds on standard networking domain assumptions about delay variation and recovery dynamics.

axioms (1)
  • domain assumption Network delay variation and recovery dynamics at the receiver distort sender timing even when all packets arrive correctly.
    Stated directly in abstract as the core problem ARC addresses.

pith-pipeline@v0.9.0 · 5592 in / 1249 out tokens · 52354 ms · 2026-05-17T21:08:06.334341+00:00 · methodology

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Reference graph

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