Pith. sign in

Paper Citation Record · LEDGER

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2401.03428.

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

pith.paper-citation-record.v1
2401.03428 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:34:21.145940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:54.927353Z

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 09867464-f7e7-4626-9cb6-3340628c410a · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.936985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:68570008a1c797d8fda363eee1f62964d1157855ac953d62c5a377fbd59adbcf

Observation 269967b8-3982-47f2-9bd0-c4dd1161aab5 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.405628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:6ae1a30b53220c990c4e65797e082a730185830c92a9ece8f1cf501714ce42ae

Observation 3fd9e29f-5620-4bb2-827d-32acfab3c41a · inbound

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks cites this paper.

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:49:38.728004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T18:49:38.626388Z digest=sha256:79cdbe0daa84a5527a80db427783d3ab53b72ba1d5a84bcbb4c57949f552e975

Observation 4d4f7171-65ca-453b-ac1a-3de167885941 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:28.003683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:46adbe6e85bca4a0bb0c23044ee9a4a7dea44bcff88dadf918d928902ccba83e

Observation 7fcaabaf-4350-4df7-bccc-fef08012bdbd · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:22:44.312722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:86fe4a93cc167bba9fc3be40cb9cb6eea4d818b712b0dbae88fd18427037eb5d

Observation 9d019a3b-4ca8-4a8c-b2b8-2aae6e4be184 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.099020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:32ef6e820a0fdffb332669552cf71db330e4034cce01cfaaedc85af20a82f90f

Observation 3a0c8fd9-a770-450d-ad8b-ecd8c9dded02 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.865094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:7e03129018397fac55c35bced6c84a71c84358f8c849edd8979ff31c11752860

Observation 9dfa9179-58c9-414c-9061-50f86c5b0c73 · inbound

A Survey of Context Engineering for Large Language Models cites this paper.

A Survey of Context Engineering for Large Language Models Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:58:45.513837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:58:45.060041Z digest=sha256:7602ca3e4da27ab9f9a98235c7fcfd75c2b063fed996f377dbae47be6fb3d006

Observation a2f76779-8f91-4713-ae0c-2a8774b416fe · inbound

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications cites this paper.

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:12:39.766393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T14:12:08.776876Z digest=sha256:24b59aa7933868dfeef0accb440eb5816fc20217b1893db50a0a6f456e1c3596

Observation 4657f33a-2d43-40bc-9fe0-fa22892368f1 · inbound

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution cites this paper.

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T23:21:21.437812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T23:19:22.033431Z digest=sha256:bd0c1e43eef35e2ab49ea6ac62fc615cde52463cb59f26ba5a40d99664996520

Observation e73f7b6f-5b98-48af-a1ec-ec48f3c2f323 · inbound

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses cites this paper.

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:20:16.419876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T19:18:36.314029Z digest=sha256:50b7c9fe92da1e097eb0af61e4b161e4f8dc06f440ad37f779d26c9ff3c31e05

Observation 24bb6d6d-f346-4f22-b55d-cfdd85065a2d · inbound

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling cites this paper.

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:36:36.710649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T06:31:36.776819Z digest=sha256:0c46a8fab5ba473032e2283adc0808a3818d28078c8ccda4a08428d8891c4902

Observation 00b59cff-f5f9-44eb-97a5-e8f1d3185c84 · inbound

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration cites this paper.

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:43:54.928758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T19:36:42.234848Z digest=sha256:2f7c0f9d93ed2285a511381c050d0f0aef30fd172bc641ef0b1af65ebda6bb37

Observation 8c2b344c-2a65-4b5b-af89-26b004bca8a3 · inbound

MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing cites this paper.

MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:43:26.131777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:33:27.860796Z digest=sha256:6057d7f8622873f5eeff51d9b5bb7d423a6037462a46986ff24d98c480355848

Observation 2e3976fa-b908-49d5-9b45-818644cae50b · inbound

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents cites this paper.

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T06:33:12.197292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T06:28:18.203225Z digest=sha256:463222bb0eb414b1b5ecca1b7052634e4540708258adb6a0d00edd2e5a8c6917

Observation 83edb220-325b-49d0-959c-243e776a82ab · inbound

MemTools: A Unified Research Framework for Interoperable Agent Memory cites this paper.

MemTools: A Unified Research Framework for Interoperable Agent Memory Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T07:34:21.145940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:34:21.145940Z digest=sha256:fd02ab7cb57ec44fb54d7a9013419c01a64bec65b47a0b94527078c8bef9862a