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Paper Citation Record · LEDGER

Self-Evolving Multi-Agent Collaboration Networks for Software Development

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.16946.

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

pith.paper-citation-record.v1
2410.16946 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:43.572297Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T21:27:35.710685Z

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 cd72863c-981f-48de-8f3f-a5690c06ab95 · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:43.572297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:43.572297Z digest=sha256:d33ed4c13aac76b54c2efb26a9b6948dd11d91f9ab30b21e254e4045c0682a52

Observation f1cb9542-c96e-4e8c-a3fb-252770785326 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:59.012611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.012611Z digest=sha256:be6a45ea35018dc8c1a2dc632354dd08ee57e9ac60baa078c45e2883d9759730

Observation 1a8984e7-f119-4814-a8ed-c08757a4c5f7 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:15.700309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:f1bcbbd7c29e9a38cdfedc46544f95b1694d2b0561c547afc3503273065a090f

Observation 06bf1ce9-9c5c-421c-b043-9195f175c1b9 · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T20:49:09.477849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:49:09.477849Z digest=sha256:1a8c6f40f501e69f35a815bf92f1795a3c413628e60b76f25365ff0863224d22

Observation c6338e64-c1b8-4c15-8d7d-b622f0baa3f7 · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:25:55.002738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:23:34.996713Z digest=sha256:8597a0383d8ec82e7dfb98fd96e83d97efe198ac12e07755dd358a324a4f3ec8

Observation 5838b3f9-dfca-4cbe-98ff-5a736d16e1eb · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 105

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:51:03.983778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:d46b1b6669f638968294f3e7faccde5f3bef9e63ed887dc46aafdc58a8c00e90

Observation 930e4f06-cf7c-428e-8601-aa6f0081d545 · inbound

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems cites this paper.

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:36:33.820884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:29:55.683565Z digest=sha256:dbbbd83be82d7e5e042c3564274f90a1fa660440bb49291021bb1123f35cc26c

Observation f5b99f57-197b-424b-b152-3a2c5aafd2ce · inbound

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation cites this paper.

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:27.532133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:36:24.941205Z digest=sha256:916aa2f0b28297959f5426f0e01282dc3bbb9b95a25fa020230ceecfe60ef1c5

Observation 672cd157-ce45-4be0-a8db-4af827f18999 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.509762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:2abeec66fdeecc2488c7eed4e2693c416b20dc988d1f219417158daeafb01a35

Observation 5553c887-1a55-4874-90d4-9ea60aa7e4ba · inbound

Reinforced Collaboration in Multi-Agent Flow Networks cites this paper.

Reinforced Collaboration in Multi-Agent Flow Networks Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:42:57.209131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T20:42:48.438057Z digest=sha256:3f7962e409afbfa7277f1430231ef0f62410fedf97924937b4d3eb5c8be7802f

Observation a5b9dd97-7aaa-4270-9d6c-0e2136de8e19 · 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 Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.532239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T16:27:05.280664Z digest=sha256:ec693e01d15af7bc12c75807c840a5ec1a56e3dbd567757c30a85a4a1d6f4ea2

Observation 4ec3e5e4-73ab-40d8-a446-71bdda49e8f8 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.608061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:26b2b75931a45bf492b0061c6ce12612e69ae895dad8c60d5dab0da864ad67d4

Observation edc9db97-d12d-43d7-a3f0-2f0aeb07ff36 · inbound

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective cites this paper.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T21:27:35.724862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:3d1cc4e4c47d4056e44a528b56b37ea411e4fae86fa4d97bf9606fc2fc5b4dd0