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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:13.038977Z digest=sha256:65511324628bb5517778d20c77437c55b0f332005161307b56306006a0749180

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:13.595108Z digest=sha256:0b7e692013b7c9aa996d59f7bf274d30e209136d5e59bde562eeb5059a3ac052

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:13.704329Z digest=sha256:4f242cf13a6164cc1592b1267da85ebcf3c032f769e85b0b9236af269e00e0a0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:13.790604Z digest=sha256:067afc1ff7f32c80b2d20426ac4c55c78b3ce586e6d65762e3c2ccf84f7b3fa3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:13.895869Z digest=sha256:42bbe7d0ab8683c1101ea2624ab3bcdef627f38185c50e4b2470fbebdb778fd9

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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
raw_fallback, observed 2026-08-06T23:49:18.339435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:14.302562Z digest=sha256:f9f2dabb1d9fbe617c99468a7aafa9f3b5ce6741fbef00784ae497999da43bed

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:14.474133Z digest=sha256:83b3f82b4ad0a30e7c88fc416e875ee28eaf037dcef6a4fdf3463ddb9af22f8b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:14.601710Z digest=sha256:7cefba676a728ee72aaa3c87ab3e511cc6e841a462d0f27fc11ebfb6ffc2a872

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:14.724555Z digest=sha256:d82c6a07dff2cfec947f0ed07eb172595b448c818ff20935cb04529aa3d2a934

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:14.854349Z digest=sha256:8821584357ad8d3c81400730228d7aee810d5aaa6fa2197e6c03647f2074523f

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
raw_fallback, observed 2026-08-06T23:49:17.044449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:15.124051Z digest=sha256:0f1d09a930730110fe82aa1527b3ae57f1bc4696fc19d60cebb4ac16815b7eb9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:15.360487Z digest=sha256:fe6cfb8ff463a3c9e4f99211ecc0ba2d4f94bee59b55dece41798e9e243cbd36

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:15.665587Z digest=sha256:b651693301e61db8b3c28ecc767e57021f33b4eaf8d66caff6f85f5d9423711f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T23:49:15.807056Z digest=sha256:3866f8de2adcc54e63d187203c363c2dc3608c55a4c1cbb725cc6c5d18814476

Pith citing papers

No inbound Pith citation observations are available.