Paper Citation Record · LEDGER

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.13693.

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

pith.paper-citation-record.v1
2505.13693 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:54.775899Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy21
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc09a149-f38f-4054-915d-62b1d5727173 · outbound

This paper cites In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (2019) 16 Bhatt et al.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (2019) 16 Bhatt et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.186685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b79379c6-64c6-4a48-a08d-ae2feb433429 · outbound

This paper cites In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.171676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57415c25-ea63-4147-bcd8-919d8f3f42ab · outbound

This paper cites In: ICSA-C (2024).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: ICSA-C (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.158982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1cb21cf-86d6-4fb9-bf5c-84a2ea94822d · outbound

This paper cites Architecting Digital Twins for Intelligent Transportation Systems.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Architecting Digital Twins for Intelligent Transportation Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:14:54.659487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2178fe0d-e020-4989-bb9e-dcc480afd409 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:14:54.664749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbba2d2-7b8b-42bc-8da9-cef82d7f8b23 · outbound

This paper cites In: Proceedings of the 4th Workshop on Machine Learning and Systems.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: Proceedings of the 4th Workshop on Machine Learning and Systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.145577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72a99f0c-383e-4834-bb55-2fafc7792b59 · outbound

This paper cites an unresolved cited work.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:14:55.134553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 715aa53c-5fe7-4248-9684-636ed43f5dc4 · outbound

This paper cites an unresolved cited work.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:14:55.122871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65d56178-8bea-4f67-9f38-3357af05b9c3 · outbound

This paper cites In: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results (2022).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.110589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a790131-5eec-4097-bb91-f56d030e2b5c · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:14:54.690266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531dfbbb-9945-4a1b-871c-f8de73855672 · outbound

This paper cites In: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.096816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21dcc508-0b98-48e3-b739-d52503557154 · outbound

This paper cites an unresolved cited work.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:14:55.081238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b36ec15d-875a-456a-9492-96ed2c4a013f · outbound

This paper cites In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.067545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b0e5175-ecee-48ba-a771-1cc6b1704baf · outbound

This paper cites In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.054781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7597ff29-429a-4a23-8fa7-cfba0fe3cb05 · outbound

This paper cites The annals of mathematical statistics 22(1) (1951).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps The annals of mathematical statistics 22(1) (1951)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.042033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3415771-49f1-4c02-abd0-a8b07274dbe6 · outbound

This paper cites In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.027559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcb53bf9-3bfe-45dd-b4b1-40665c8bd7ff · outbound

This paper cites In: 2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.015632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b630ee06-3f12-4d73-a308-2e10119d4a1b · outbound

This paper cites In: 2022 IEEE/ACM 1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI) (2022).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2022 IEEE/ACM 1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI) (2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:55.003463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c8ade10-5f31-4365-b51e-8ba3c8e73890 · outbound

This paper cites IEEE Industrial Electronics Magazine15(2) (2021).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps IEEE Industrial Electronics Magazine15(2) (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.989024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 891cc110-c4ae-4401-8faa-87179de7d10a · outbound

This paper cites Briefings in bioinformatics19(6) (2018).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Briefings in bioinformatics19(6) (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.976544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c150dd39-bfc1-402e-83f5-a8a5e6feae70 · outbound

This paper cites Communications of the ACM 63(12) (2020) HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps 17.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Communications of the ACM 63(12) (2020) HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps 17

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.964139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fa7ce42-03aa-49f8-a4ba-874bb602eb36 · outbound

This paper cites University of California, Berkeley.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps University of California, Berkeley

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.951301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47ab52bb-b7fc-44cf-b309-fedee197faf6 · outbound

This paper cites In: 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (2022).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (2022)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.937499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12c2bb22-20fb-404a-a809-ea289b1a9073 · outbound

This paper cites an unresolved cited work.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:14:54.923117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca1e5b77-e5b6-4058-bb5f-998bcf3fa172 · outbound

This paper cites In: 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.908852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfdf4e8f-c89a-4240-bd95-c1e8b905acf1 · outbound

This paper cites In: 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.895622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f51f4f50-570b-4c29-beb6-82ad96f15ab6 · outbound

This paper cites EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:14:54.766576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bc305a-ae34-49e9-be20-eddf90a06cd6 · outbound

This paper cites In: 2022 International Conference on ICT for Sustainability (ICT4S) (2022).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps In: 2022 International Conference on ICT for Sustainability (ICT4S) (2022)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.882306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 194ad8f5-7511-47b7-86a8-2bb061c0b724 · outbound

This paper cites Springer Science & Business Media (2012).

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Springer Science & Business Media (2012)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:14:54.866422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.