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Paper Citation Record · LEDGER

Introspective Tips: Large Language Model for In-Context Decision Making

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.11598.

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

pith.paper-citation-record.v1
2305.11598 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:29.619491Z

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

6
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 c90fa64d-891c-4846-a16a-3dc842869e16 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Introspective Tips: Large Language Model for In-Context Decision Making

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:01.245652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:ff95984eecc5965e138d9c504017214ed673178d817a795f5284807000e9d223

Observation 7b1f57e6-e137-488b-9a89-1a645b22dd5f · inbound

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities cites this paper.

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities Introspective Tips: Large Language Model for In-Context Decision Making

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:29.619491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:16:29.619491Z digest=sha256:6c099ec1e7fd5736b19d0dc4957abf76a1f468249597ee2df08938280131fb67

Observation 3ae1315f-b2e0-4ea2-be39-cdbecc09e727 · inbound

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation cites this paper.

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation Introspective Tips: Large Language Model for In-Context Decision Making

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:52:15.839099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:52:15.839099Z digest=sha256:a4fa5ad89943a598cab897db34e2c1c31a33a008612c71e5ea966f418a320978

Observation 20d63e48-9f28-4b01-b899-26da8ed7c3bd · inbound

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM cites this paper.

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM Introspective Tips: Large Language Model for In-Context Decision Making

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:37.303075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:37.303075Z digest=sha256:9f73b5c24d3f641b137cc00cec1216bdf54b144640797831f835829110d39077

Observation b61fc81c-c2f8-4eac-8c1a-8e679d118fdd · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Introspective Tips: Large Language Model for In-Context Decision Making

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:20:58.288830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T06:19:44.360734Z digest=sha256:8c0b69991472466ff1d4a11ccbd7bbdfb1ed4762f92aba79d617ac9bf8204cd4

Observation f0bedbe0-f36d-4f2e-b5d4-8963a9913716 · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Introspective Tips: Large Language Model for In-Context Decision Making

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.422035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:50:06.642976Z digest=sha256:257d3bf5af9d178ca70891693d63fd93181fc8130d9b8863dc4aa6e2a87e307a

Observation 8dfdd0fd-6cb4-4e5c-a3b5-0cd3c6f923a9 · inbound

MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution cites this paper.

MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution Introspective Tips: Large Language Model for In-Context Decision Making

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.123792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T23:36:38.989358Z digest=sha256:a835d18718542b2ed3678dd6c65b93d6dde9a9ab2c23d5eb2eaf888d5f0fbeb8

Observation 8a8d9809-e74c-4622-9f2c-6a3f077b7056 · inbound

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization cites this paper.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Introspective Tips: Large Language Model for In-Context Decision Making

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-01T21:29:42.517342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:42.517342Z digest=sha256:85e5286abe821bc71a644addff84f9f819715bfc90e41970533c8e68921a5fb4

Observation a18c6404-ad7b-4053-94c1-239f135d712e · inbound

MemHarness: Memory Is Reconstructed, Not Replayed cites this paper.

MemHarness: Memory Is Reconstructed, Not Replayed Introspective Tips: Large Language Model for In-Context Decision Making

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T12:39:13.979151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:39:13.979151Z digest=sha256:a59d863cf1b6ccf6bbb9bcf455849c2d2e556af128c1ff0af977a9b71f16bdd4