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Paper Citation Record · LEDGER

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.16235.

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

pith.paper-citation-record.v1
2506.16235 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:15.807056Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff513d44-5832-4f88-9b9c-0d3db9bcb2df · outbound

This paper cites In: IEEE INFOCOM 2021 - IEEE Conference on Com- puter Communications.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: IEEE INFOCOM 2021 - IEEE Conference on Com- puter Communications

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:20.107900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:12.896404Z digest=sha256:a58b8f2beb2a3b93fe08ca9b11d5b5581aa89983c34a1a922f3f3fa841c41d2f

Observation 138d6633-9ce2-4123-adab-8a5184301546 · outbound

This paper cites In: Palmer, M., Hwa, R., Riedel, S.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: Palmer, M., Hwa, R., Riedel, S

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:19.987382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fca0d59f-b113-4a92-b325-e7b872722d89 · outbound

This paper cites SIGCOMM Comput.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning SIGCOMM Comput

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:19.876980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dcbbc158-c7e7-45df-b679-76980e0ad766 · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:19.740782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2626573-7104-4443-9758-2e7a5cb8f1a4 · outbound

This paper cites Language Models are Few-Shot Learners.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Language Models are Few-Shot Learners

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.456738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.456738Z digest=sha256:eee0af62e714a3f234400490f7584f15f5d0afac64a22f8d0504810d4ebf6350

Observation 1505382e-1fe4-4057-84ab-dbdadb3715c3 · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:19.556759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 111fd19b-831f-4865-b885-6c80321ef4d7 · outbound

This paper cites Queue14(5), 20–53 (Oct 2016).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Queue14(5), 20–53 (Oct 2016)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:19.426779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:13.704329Z digest=sha256:de1ce776c71dc40b2b2301d935689809d7c9b131cac2dd42db215bee5dee783a

Observation 941c6478-bfd6-415f-99a1-89a7f28d1087 · outbound

This paper cites In: 2019 USENIX annual technical conference (USENIX ATC 19).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: 2019 USENIX annual technical conference (USENIX ATC 19)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:19.294697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:13.790604Z digest=sha256:a7969ec5ebc0f900d9326c20f7a524e7b1f6514c9e26d61991ac3419c99dc7ce

Observation fab9e9bd-179d-4951-82f1-668aca2ff651 · outbound

This paper cites ACM SIGOPS operating systems review42(5), 64–74 (2008).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning ACM SIGOPS operating systems review42(5), 64–74 (2008)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:19.161365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:13.895869Z digest=sha256:ed2af25ff51912f99895abbc3716d292afd23609e096c92cee3726dad70d1ec0

Observation cb69d8d9-e899-4593-b081-059556ad81f8 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:18.890009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.000969Z digest=sha256:0c3d74d4c15326bce28c0e1467575258ad7f0da1cbd5a9971f5be38346d5f7c6

Observation cc30f139-37dd-430e-851c-b4c90ca2dc28 · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8937f7cc-7704-4e12-b49d-3bfae8d0d860 · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.302562Z digest=sha256:8b65f4734cdc0b53411ffaa0b253800cfd69f5381d53fc32c00350fe64b2823f

Observation d76fe262-260b-4240-a066-50ec5912c8ed · outbound

This paper cites Deep Residual Learning for Image Recognition.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Deep Residual Learning for Image Recognition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:14.386018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.386018Z digest=sha256:eede68403e51cd9e4365914a9566b6836cc64e7a11be286ec30ae554de9ee8d8

Observation eaf5b7cf-59b3-43b2-8a87-9de000abea30 · outbound

This paper cites In: Proceedings of the Conference of the ACM Special Interest Group on Data Communication.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: Proceedings of the Conference of the ACM Special Interest Group on Data Communication

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:18.075748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.474133Z digest=sha256:1aaca1d6d29eb627c489ef186ba02816e292e676f396177af26a682951e62e23

Observation f9fa1b72-ae6e-4b44-b343-d6ba8dbf1860 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2016).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: International Conference on Learning Representations (ICLR) (2016)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:17.802506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.601710Z digest=sha256:e30386e0cf8c0b82803aa9c762db05f552596bec89c6484605ff6b6336171224

Observation 355b66de-f9ce-4d58-8107-56eea922bf4e · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:17.598168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.724555Z digest=sha256:2deb3d20fb5c3f1b889f8af7522cffaaf19da0a88d11fa61425c2b2f939940a9

Observation 338fc336-cf68-4767-93be-14d5697e62e7 · outbound

This paper cites In: 11th USENIX Symposium on Operating Systems Design and Implemen- tation (OSDI 14).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: 11th USENIX Symposium on Operating Systems Design and Implemen- tation (OSDI 14)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:17.308063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:14.854349Z digest=sha256:7e51967b824416df56d23e1e94da88c14054478b648a0c0b0f5e2ca8046df6fc

Observation 7aa08495-cc67-4cce-b1a0-858e6237f00f · outbound

This paper cites CoRR (2017) NetSenseML 15.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning CoRR (2017) NetSenseML 15

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:15.009126Z digest=sha256:43702e4651eef07e0d3960b299fb1ddfa854d6237815d77304c8332f66263c8d

Observation a27c965a-086a-4a50-a1e0-edc662949209 · outbound

This paper cites https://developer.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning https://developer

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:16.769397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:15.124051Z digest=sha256:86af2e4220b60ad2efc537a248d743dbb66fb3212a2f7abf404bde6493bf82db

Observation 0fc81def-102a-43af-92a1-a8fe1848b87b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.249334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.249334Z digest=sha256:f9f4b1b004e6d32c4d87dd82f4756524a11fcc8705c91a119c013eb36ff8d423

Observation 4a23b7cb-88d6-40ca-a5fc-6a7166994aac · outbound

This paper cites https: //github.com/esnet/iperf (2024).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning https: //github.com/esnet/iperf (2024)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:16.506488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:15.360487Z digest=sha256:49b077b639c5dab26b8129d1fd610e1653d0e1735ef1d220cda855b5ad6b8bd6

Observation 56cbe35d-b4a6-47ab-b076-8cba26673b96 · outbound

This paper cites an unresolved cited work.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.505862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.505862Z digest=sha256:2cce871092e3899ef31c530c6d5171e4fd7dad528e14f456b0d5ff972583826d

Observation ec419d5c-250e-4b6b-b10c-4078df8ef5b4 · outbound

This paper cites In: 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24).

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:16.288364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:15.665587Z digest=sha256:3f20bf6c4b5278052da08ec42b7c745af7284636a6de7b4878e8e41ebb7cfe79

Observation a6bc7a68-abfb-4393-bd3e-12cdd696aaf3 · outbound

This paper cites In: Proceedings of the Eighteenth European Conference on Computer Systems.

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning In: Proceedings of the Eighteenth European Conference on Computer Systems

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:16.090422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:49:15.807056Z digest=sha256:fbcafa993bf32396ff3849d04448343e16a37fa16ba4771d7a091e069d98b124

Pith citing papers

No inbound Pith citation observations are available.