Paper Citation Record · LEDGER

Thinking Fast and Slow in Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.05206.

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

pith.paper-citation-record.v1
2212.05206 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:58:55.015663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.847095Z

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 faa24726-3694-4b6f-8588-17c4fa929a17 · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning Thinking Fast and Slow in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:58:55.015663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf89aaa8-4d59-4798-8121-630cf453bb31 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Thinking Fast and Slow in Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T13:05:35.733914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7d190c-8e2f-4c48-b019-8615830d82c0 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Thinking Fast and Slow in Large Language Models

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.406558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82e90337-4cba-4497-ab27-7d3f8c80e38e · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Thinking Fast and Slow in Large Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.851258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.