Paper Citation Record · LEDGER

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.07355.

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

pith.paper-citation-record.v1
2506.07355 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:57.809403Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40a22bb0-1b7c-4a65-ad8b-5dac8f9c5ca2 · outbound

This paper cites Neuro- surgeon: Collaborative intelligence between the cloud and mobile edge,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Neuro- surgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:58.034052Z

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 94fd0b8d-2370-4ea4-96bf-de10e161b6f8 · outbound

This paper cites Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:58.020141Z

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 571b46be-6919-419c-a021-4f10300e8341 · outbound

This paper cites Neural architecture search for improving latency-accuracy trade-off in split computing,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Neural architecture search for improving latency-accuracy trade-off in split computing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:58.006417Z

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 fdf610e0-9b02-49c6-84cc-4360e370ed3c · outbound

This paper cites Enhancing latency-accuracy tradeoff in dynamic split inference via vector quantized bottleneck,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Enhancing latency-accuracy tradeoff in dynamic split inference via vector quantized bottleneck,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.992870Z

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 cc40f9b4-e0c6-4f77-944a-6fdeecc4cc69 · outbound

This paper cites Packet-loss-tolerant split inference for delay-sensitive deep learning in lossy wireless networks,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Packet-loss-tolerant split inference for delay-sensitive deep learning in lossy wireless networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.978413Z

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 980e2c3f-3432-4c4c-b1c4-7da1227e78a8 · outbound

This paper cites Tinytl: Reduce memory, not parameters for efficient on-device learning,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Tinytl: Reduce memory, not parameters for efficient on-device learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.964384Z

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 5f6e7ff6-79d7-459e-8c9c-020907aa5ba8 · outbound

This paper cites Pockengine: Sparse and efficient fine-tuning in a pocket,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Pockengine: Sparse and efficient fine-tuning in a pocket,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.949330Z

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 fbd40e2a-e014-447f-b70a-e8f9121854aa · outbound

This paper cites Head network distillation: Splitting distilled deep neural networks for resource- constrained edge computing systems,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Head network distillation: Splitting distilled deep neural networks for resource- constrained edge computing systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.934521Z

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 fbde6202-f61d-4f78-a996-f22ca3d51800 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Parameter-efficient transfer learning for nlp,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.919200Z

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 c3e64887-acc8-4509-82b3-9f40b5f8fa81 · outbound

This paper cites Learning multiple visual domains with residual adapters,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Learning multiple visual domains with residual adapters,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.903381Z

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 65f4a7f7-6c3c-4754-943b-42ea2368640b · outbound

This paper cites Lora: Low- rank adaptation of large language models,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Lora: Low- rank adaptation of large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.889076Z

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 6aeb6d8f-fdee-4e25-8397-1ee0e9dbe5c5 · outbound

This paper cites Distributed learning of deep neural network over multiple agents,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Distributed learning of deep neural network over multiple agents,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.875033Z

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 bb47ca57-30b8-4970-ae1b-392ea0fe52f8 · outbound

This paper cites Learning multiple layers of features from tiny images,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Learning multiple layers of features from tiny images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.861018Z

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 ceb75b57-115e-4df2-9220-19d2b56bc6eb · outbound

This paper cites Deep residual learning for image recognition,.

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments Deep residual learning for image recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:40:57.845552Z

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.

Pith citing papers

No inbound Pith citation observations are available.