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Paper Citation Record · LEDGER

Puzzle Solving using Reasoning of Large Language Models: A Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.11291.

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

pith.paper-citation-record.v1
2402.11291 v3

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 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:26.104694Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bdd5c326-8c35-4913-953a-fc4295256bb4 · inbound

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs cites this paper.

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:40:29.415343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:40:29.415343Z digest=sha256:21e7113cd1639e69e4be3963d431a5c29446e3764e661466640b8d7775b2e25c

Observation ffe0b281-015a-4429-92fa-a73fc1049f45 · inbound

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models cites this paper.

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:36.011761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:32:36.011761Z digest=sha256:0da70324acb2835565f47553d559cc143ddf658c0ba5129c86dda75023648c53

Observation 1ad22283-971b-4702-aedb-3985a5552699 · inbound

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles cites this paper.

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T16:42:52.403862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:42:52.403862Z digest=sha256:5ff2e88f14c99bbb460ad9fc00d284a13b0e4baf49392d3e16d076cad6454d58

Observation e3cd66a4-05ac-4c42-95c6-93ba232765c7 · inbound

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation cites this paper.

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:26.104694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:26.104694Z digest=sha256:0dde27c746c886bc6d2487b243afe3ec27827ab20375e48a3d83afe7ef9b2c42

Observation 945d16c6-2a5d-4760-9e24-aac8d0babc40 · inbound

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants cites this paper.

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:28.794131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:28.794131Z digest=sha256:f2f0025ee8b1ed944f334f54a58e853ffdc0dfd969af5e4da65bdf764ab25869

Observation 1682acc7-86f5-49fb-b6bd-999fe06814c6 · inbound

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning cites this paper.

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:36:35.720092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:36:35.720092Z digest=sha256:04a7c4821be70dcef4f6091d8e31ac5fcc4e3feab0bfe9d7a558a19a8d74a2f5

Observation 2c165c66-e3e3-4166-9301-ec11e6656d37 · inbound

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling cites this paper.

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:24.006798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T22:33:09.674822Z digest=sha256:bee05b7839d1c423789eee2530ef1aa9513b4be4aed43f9b0d545f7d26d01207

Observation a979c1d8-7b91-46ad-a6de-42384c207abb · inbound

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? cites this paper.

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:02:05.556198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T01:58:39.476408Z digest=sha256:4214580350dbb55cddc18cc45d26cae77d58b3518a5ff87dd170706ec4fd2938

Observation 7bffcabe-838b-486c-bc6f-7ff84738e847 · inbound

ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization cites this paper.

ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization Puzzle Solving using Reasoning of Large Language Models: A Survey

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-08T00:34:22.714031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T00:28:01.594812Z digest=sha256:9b1415b066d4783fb19f5444057a558feeca3649f5993444ef2f340b408b3f33