Paper Citation Record · LEDGER

Thinking Fast and Slow with Deep Learning and Tree Search

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1705.08439.

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

pith.paper-citation-record.v1
1705.08439 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:38:52.097617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:45.867321Z

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 a84832af-450c-4231-9a28-c807b76c132b · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Thinking Fast and Slow with Deep Learning and Tree Search

Reference 222

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.346995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f5b3ce9-f8bc-49a9-9a90-a0c28d5cb572 · inbound

Inference Scaling Reshapes AI Governance cites this paper.

Inference Scaling Reshapes AI Governance Thinking Fast and Slow with Deep Learning and Tree Search

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T23:38:52.097617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01362a2-6342-4365-bad9-dc92ccdab187 · inbound

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening cites this paper.

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening Thinking Fast and Slow with Deep Learning and Tree Search

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:02.400154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b403128-1d46-4860-968c-f79c5135df77 · inbound

Partial Label Learning for Automated Theorem Proving cites this paper.

Partial Label Learning for Automated Theorem Proving Thinking Fast and Slow with Deep Learning and Tree Search

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:18:23.091803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c510ec-28f7-4015-b9bd-0e547e04f224 · inbound

CogniPlay: a work-in-progress Human-like model for General Game Playing cites this paper.

CogniPlay: a work-in-progress Human-like model for General Game Playing Thinking Fast and Slow with Deep Learning and Tree Search

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:08.383825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efe49f0-3082-4757-a245-8ee8fc293013 · inbound

ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents cites this paper.

ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents Thinking Fast and Slow with Deep Learning and Tree Search

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:49:45.869153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6015bcfb-0508-44f6-a5cd-677f8f8cf223 · inbound

AlphaZero in Sparsely Rewarded Games: Limits and Auxiliary Supervision cites this paper.

AlphaZero in Sparsely Rewarded Games: Limits and Auxiliary Supervision Thinking Fast and Slow with Deep Learning and Tree Search

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T01:15:08.606128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.