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Paper Citation Record · LEDGER

AI Agents: Evolution, Architecture, and Real-World Applications

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2503.12687.

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

pith.paper-citation-record.v1
2503.12687 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:33.525032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:13:01.812655Z

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 3b2963ef-c4a0-4388-b431-951bae69e55d · inbound

Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications cites this paper.

Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications AI Agents: Evolution, Architecture, and Real-World Applications

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:33.525032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:33.525032Z digest=sha256:97daaa629be9bf570202aceb5627601ec991d0accd36ea06f824b9c2f06c379a

Observation e0b3e98a-55f0-4321-bdf3-e75712674d25 · inbound

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities cites this paper.

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities AI Agents: Evolution, Architecture, and Real-World Applications

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:43.983852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:43.983852Z digest=sha256:4c71c4dbcb379b63a8f9cdca8c35e7a66bd49da498da3f04fdd64de4dbfb3e07

Observation 107d23ea-3dec-4bc8-a1e4-425433cc1c93 · inbound

Steering Conceptual Bias via Transformer Latent-Subspace Activation cites this paper.

Steering Conceptual Bias via Transformer Latent-Subspace Activation AI Agents: Evolution, Architecture, and Real-World Applications

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:55.433224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:55.433224Z digest=sha256:4d6c787a09e4dd45ac15739ec90cf1cce25c7aa0b35102eff6397c91cca715cc

Observation c59fe257-3a98-47cd-8b17-83e512a93ad4 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration AI Agents: Evolution, Architecture, and Real-World Applications

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.817222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:e201bedafd26f9522ec1ebd1d2bf46253ae83252728fe893c6377f003ee40abd

Observation 55ca19ce-f915-4cbc-bb8b-baaf01f43113 · inbound

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web AI Agents: Evolution, Architecture, and Real-World Applications

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:33.580580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:33.580580Z digest=sha256:d4c3e16abc5cad688ced03c408bde56b3177917a7eb3b288cf9b37091bdd5f7c

Observation 441e8579-84e9-44cc-964d-2c2c6444952a · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions AI Agents: Evolution, Architecture, and Real-World Applications

Reference 267

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:00.572448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.572448Z digest=sha256:d4909599a7c97c6590f874663ba34041b1df9a94ecf4193aaa5ec72282ba36cd

Observation 4831e886-86f9-4083-8ba5-24b2ef597499 · inbound

Towards Log Analysis with AI Agents: Cowrie Case Study cites this paper.

Towards Log Analysis with AI Agents: Cowrie Case Study AI Agents: Evolution, Architecture, and Real-World Applications

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:18:04.567818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:18:04.567818Z digest=sha256:20bf042400afc61ad86010843b7fe2234dfd7b859527faf9fd5a186b0ae12b84

Observation 0ed6f7dc-1c63-481b-be35-73d1153e824c · inbound

Agentic Services Computing cites this paper.

Agentic Services Computing AI Agents: Evolution, Architecture, and Real-World Applications

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-04T14:41:50.742046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:41:50.742046Z digest=sha256:120aef1f0e700b260b78f829cf8cda9128d01dc82dd4601a8d4a161bff2ee464

Observation 5e59d9f0-f6c8-475e-899b-54135f35d62f · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents AI Agents: Evolution, Architecture, and Real-World Applications

Reference 75

Resolution
unresolved
no resolver link, observed 2026-07-13T15:55:53.399860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:55:53.399860Z digest=sha256:b3da3e07fe54a0f022301d25d857d29a35ed5d4ffc7774e2e17ebdc3fc928552

Observation c4de7264-6a54-4faf-ba98-9a39a11fd577 · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents AI Agents: Evolution, Architecture, and Real-World Applications

Reference 76

Resolution
unresolved
no resolver link, observed 2026-07-13T15:55:53.399860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:55:53.399860Z digest=sha256:587d6cd732f60966ba7e81777b85c8e148eb12e3bda5c053a5fa64bc467e5c76

Observation 9b0ba7db-29f5-48c1-b416-befc66a67045 · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents AI Agents: Evolution, Architecture, and Real-World Applications

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-02T17:09:18.203857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:09:18.203857Z digest=sha256:4991acaa41f1f29d01985fd8d058ccfe68e08d335d24a99e77a16dd4e6fb741b

Observation a40c48bf-f32a-44c3-855b-8e7e3d39711d · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents AI Agents: Evolution, Architecture, and Real-World Applications

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-02T17:09:18.206967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:09:18.206967Z digest=sha256:a261ea3f494062dd46921643bb80202f539befa6a179bc97eef0fcd42d9ea3ec

Observation a38d3cb4-d27b-42a2-a6ea-0b0ca9fff80d · inbound

Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes cites this paper.

Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes AI Agents: Evolution, Architecture, and Real-World Applications

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:06.314354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T17:43:53.586552Z digest=sha256:4aeca49a75beeb113dbd34c9ebab58b06bf1b59b7eeb0ce856b2ed86c3ef80f0

Observation 2940758a-c818-418e-9ead-ce81931c3c7f · inbound

How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests cites this paper.

How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests AI Agents: Evolution, Architecture, and Real-World Applications

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T06:36:21.574565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:36:21.574565Z digest=sha256:4f49dd05eb126ea02b06fd90521b410ba899bc428c02fb8bf5cda357df0d91aa

Observation 3551be98-4304-4d08-83d3-a6c6f7735ca9 · inbound

PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits cites this paper.

PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits AI Agents: Evolution, Architecture, and Real-World Applications

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T16:09:36.837696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:09:36.837696Z digest=sha256:9341fda9ed61b477e5b5afc53bb64132071d91f05d0cb2d7dc840b4a242193f4