Pith. sign in

Paper Citation Record · LEDGER

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2309.14365.

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

pith.paper-citation-record.v1
2309.14365 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:35:32.628236Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:58:50.194424Z

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 755f1fdc-890e-4eb3-98f2-44434d569947 · 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 An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.932847Z

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=2026-05-15T07:21:39.440092Z digest=sha256:3c444188a4d6916bf5332bc08e4101048f9b8394b6394848b501dbb5d1ad8c66

Observation fd8e1c80-ffed-459a-840d-4a78cffb3445 · inbound

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

Large Language Model-Brained GUI Agents: A Survey An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:28.000890Z

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=2026-05-19T11:08:27.472508Z digest=sha256:ae99e992e1185065787bdebbc7b980986e150b62e915cab341adadc593608368

Observation 9319b819-26ed-455c-a57a-9421c56f248c · inbound

MedRAX: Medical Reasoning Agent for Chest X-ray cites this paper.

MedRAX: Medical Reasoning Agent for Chest X-ray An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-09T11:35:32.628236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:35:32.628236Z digest=sha256:43518fd723ca65dee6ef7ad301282076896e476388fa8b0c03e4a359ae65df4d

Observation de67752b-8b19-4680-8e35-220c0a9f381c · 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 An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.311685Z

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=2026-05-22T21:51:34.309870Z digest=sha256:5d68ee5782f1337b3c848af112b6360b798c750c44c73b6490938deac8d09727

Observation 002817b9-4106-4ac6-a836-1a61469fc3f7 · inbound

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents cites this paper.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:56:30.673887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:56:30.673887Z digest=sha256:e0637e72d797696a96dab56a306b6c0fcb26f78c2a3f0f98507d659b29f8f343

Observation b79f5eb3-c55a-4885-83b3-2c2de5c8eb6e · inbound

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting cites this paper.

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:00.168854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:42:00.168854Z digest=sha256:6bf50f3717b02b517cf31ce221fc803a007be6194de9233b4c4b925c5b232406

Observation 0f36a77b-e9e2-48cc-b43c-69925f1bc84a · inbound

Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management cites this paper.

Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:43.947297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:43.947297Z digest=sha256:8ca949219337b8240241902767c356fa32ec72bb7beb6001ba4b4b21a10e7fb3

Observation 382e03d7-b020-42a7-a07b-a8ba94290820 · inbound

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction cites this paper.

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:51.659547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:15:51.659547Z digest=sha256:aa4d3e94238a98f482ca70d50545da31ca1140fb73a96a9de9bd9c542c52d3ef

Observation 6e81ee76-f028-4cc3-bc71-108bc49d7958 · inbound

Agent Safety Alignment via Reinforcement Learning cites this paper.

Agent Safety Alignment via Reinforcement Learning An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:36.361217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:36.361217Z digest=sha256:b383d4ff51d60c895c2b81217ff948d0c82df162fe57d316925e0d4973753fea

Observation 74ee6d69-8b13-4148-bf2e-dc4122fdfba3 · inbound

A dataset of early blockchain-registered AI agents on Ethereum cites this paper.

A dataset of early blockchain-registered AI agents on Ethereum An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:12.498732Z

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=2026-05-08T09:00:04.048350Z digest=sha256:eb1334465d749a969de80612f93b618d830a4153a822fbc9ec04d6f00b1ec8cd

Observation 487882d6-9364-40f0-a7eb-0562e0313f54 · inbound

A dataset of early blockchain-registered AI agents on Ethereum cites this paper.

A dataset of early blockchain-registered AI agents on Ethereum An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T15:35:35.837705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:35:35.837705Z digest=sha256:06138d02b3b89da2538235d825baea9713fce3e26a7707048f607a107112f331

Observation 444ed3d1-5504-401f-985b-da6750d1263b · inbound

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis cites this paper.

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:29.221646Z

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=2026-06-27T06:58:42.823851Z digest=sha256:366657d42589cbc6a92d161414db5f6b863b4332566635b41ffba62f598e6929

Observation 268634cf-7711-4d7a-a45a-d68d9d637576 · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:36:43.265672Z

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=arxiv_source observed=2026-07-02T06:29:32.975530Z digest=sha256:d65a419680e29edad479cfba64678004e33c036f0c2f19b5ac3b7608ea35700a

Observation 231941eb-fab3-4379-8b9d-948d245de9b0 · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T18:58:50.197160Z

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=arxiv_source observed=2026-07-03T18:50:02.455542Z digest=sha256:eed879f5c48c625445705656973653ad56edfb2926eaf6076c15ced4d73698d7