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Paper Citation Record · LEDGER

GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2508.12472.

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

pith.paper-citation-record.v1
2508.12472 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:26.973690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:05:04.434549Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b688fd9f-f917-4152-9c07-537c54c29e48 · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:20:54.728645Z

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=2026-05-11T02:20:32.528550Z digest=sha256:03af047dd5596085c09066c36e9c5437fe31a0c23887c5b984c5c2d31204d340

Observation 7f510045-cd16-4276-8523-bd0d0b81ac9a · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:49:29.240404Z

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=2026-05-14T21:49:16.239350Z digest=sha256:9f590c8ff20a3a4e3fc4e58352b36575f798068baef1b0c67bc1e6b2bda6ee85

Observation 455344d4-9b1f-48e5-8fe1-e27a2d6510ee · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-03T00:18:44.853873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:18:44.853873Z digest=sha256:171112f51011348c64fb6eac2adfde227135d5b83c914f8e02f4a463c66eaf26

Observation 4c67f691-3788-4666-8097-f69856500575 · inbound

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought cites this paper.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:05:04.436181Z

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=2026-06-30T20:04:34.841056Z digest=sha256:5ff4ab89497b76ee61afa1733b80285dc2b06725e33589cd1e9585c270ac50c0

Observation 8530c93d-c437-4a8f-96c0-058e56be54fc · inbound

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast cites this paper.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T13:31:53.549209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:31:53.549209Z digest=sha256:eea3be0e52cca248acec412bd2867f75c60a5d059bb3218082d5ce83a4d9aef1

Observation daa3e652-38fe-42a4-9ab1-83ab5eaebb93 · inbound

GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in Microservices cites this paper.

GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in Microservices GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-14T04:25:26.973690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:25:26.973690Z digest=sha256:eeacfa9e5732c71e04bb2cd1c1a7169e8f2925258308478d3320dbe4cf29a7a4