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Paper Citation Record · LEDGER

Agents in Software Engineering: Survey, Landscape, and Vision

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.09030.

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

pith.paper-citation-record.v1
2409.09030 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:06:07.180480Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ca0e91c2-88f8-4703-b924-c98d6b1f5337 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Agents in Software Engineering: Survey, Landscape, and Vision

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.279225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:fdaab360f31d79f95d55f9595a9463862d37fa4c815b9c48a0f6ebbd9465abd2

Observation cfe96f87-b82f-4bc6-b93f-77b71cc77a25 · inbound

Augmenting the Generality and Performance of Large Language Models for Software Engineering cites this paper.

Augmenting the Generality and Performance of Large Language Models for Software Engineering Agents in Software Engineering: Survey, Landscape, and Vision

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:06:07.180480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:07.180480Z digest=sha256:84abe1aa160e52184dd969daea159191547a302804ee4bb4b2ce3b9a96c45aee

Observation ae143b5e-2707-4858-98b6-7428cc5fdab0 · inbound

Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle cites this paper.

Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle Agents in Software Engineering: Survey, Landscape, and Vision

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.526597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T16:27:05.280664Z digest=sha256:8206e1bc84e3e1e4a6485938af0b63e17c67030cbc73d5c9cb49164859cf1d4b

Observation a1de94f9-b170-4a18-a22f-61a4de85644f · inbound

From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents cites this paper.

From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents Agents in Software Engineering: Survey, Landscape, and Vision

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-28T05:21:40.129860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T05:16:10.548016Z digest=sha256:21c179dc7bdeb6459e9c95895313392ec45d2739981e9c35676d3177b027de8d

Observation 60254aa7-16a8-4ed2-ba7f-6f2b6182b46d · inbound

Agentic Software: How AI Agents Are Restructuring the Software Paradigm cites this paper.

Agentic Software: How AI Agents Are Restructuring the Software Paradigm Agents in Software Engineering: Survey, Landscape, and Vision

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:56:59.944937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T00:47:36.338265Z digest=sha256:e4a2ee5f5180378e4b573349986e7964044a06d6042730bfb48fc6b0ba1312de