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Paper Citation Record · LEDGER

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations

As of 7 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2606.09122.

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

pith.paper-citation-record.v1
2606.09122 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T15:51:03.887803Z

measured 10 of 10 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T21:02:40.968352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T21:06:34.878242Z

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ff12e02-2325-4577-92d3-0ed2c3e5bcea · outbound

This paper cites Proceedings of the 2018 World Wide Web Conference (WWW) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Proceedings of the 2018 World Wide Web Conference (WWW) , year =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:816acc6d030e4a2ee294cd0a1c65a4c80fb66c7deed37985b5131706611c8961

Observation 99c4f844-d4a9-4830-b6e2-e663f55ff333 · outbound

This paper cites Zheng and Jim Lloyd and Michael I.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Zheng and Jim Lloyd and Michael I

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:66d59e0191eea066730edfeaac0a0548973c92ed8928a6b71c547301d9dcfa73

Observation 1c5d5774-d892-48db-ba5d-4154a0d3aa1a · outbound

This paper cites Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) , year =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:a893bafa8453fd726bca3c74a0ce2e61ac786f0534646b910e6a8f57d632ee68

Observation c0072197-42d5-42dd-9554-b6899f31aa3d · outbound

This paper cites 2021 USENIX Annual Technical Conference (USENIX ATC'21) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations 2021 USENIX Annual Technical Conference (USENIX ATC'21) , year =

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:f709bf95b8ce102a2efc05e2b344a1ea520710d733adfd00106ba9e6d63ac7b6

Observation 7780cbb9-e9e4-4c26-a629-adbce341a67d · outbound

This paper cites Proceedings of the IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Proceedings of the IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) , year =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:014176d9797d3bd41e6faf7a572349e220c9f0c667060f1ca2a7f97f20df62b7

Observation 3f268539-cfb4-46ef-8339-21e7fda876ee · outbound

This paper cites Proceedings of IEEE International Conference on Services Computing (SCC) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Proceedings of IEEE International Conference on Services Computing (SCC) , year =

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:449fe1a8876bf870e6fc63ab8e30379ba07e9af28ff6fad4936d2e42950ea7b4

Observation b6cfb1d2-9578-4a0b-a1e3-6234d4ab0359 · outbound

This paper cites 2009 , edition =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations 2009 , edition =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:e64e066b339be63eec8db5d230d151f6b9ca9d703e5cf164541ab4069d7c13a0

Observation adb2da63-2d8a-482f-a720-980b60569394 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Proceedings of the International Conference on Learning Representations (ICLR) , year =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:a5ad0fce06e419ec71c188a329f475ca7decf1c27fc5704c0eacd263ad36cd18

Observation 4925292f-2876-4613-a5b2-edd0f94aebea · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =.

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T15:51:03.887803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T15:51:03.887803Z digest=sha256:271b199d473b028a3cc48f483515e0e2688160f35ec5941063946aec4c10af24

Pith citing papers

Observation aecc3366-b8ac-413b-b9b4-f3f7b58970b8 · inbound

Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production cites this paper.

Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-09T21:06:34.880060Z

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.

source=pdf_text observed=2026-07-09T21:02:40.968352Z digest=sha256:f8dbcd0cd6c9402bb88b9b8781dbda78a10c525b122055c7488091e57ee38cb5