Paper Citation Record · LEDGER

Generating Diverse Hypotheses for Inductive Reasoning

As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2412.13422.

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

pith.paper-citation-record.v1
2412.13422 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:34.841475Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

verified exact2
verified fuzzy1
unresolved50
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 585a06b4-ed6e-44db-bde0-0dda451f5710 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:11:35.659151Z

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Observation a4e3cfed-b26d-4ae0-a3ef-af7f0043cc7e · outbound

This paper cites Program Synthesis with Large Language Models.

Generating Diverse Hypotheses for Inductive Reasoning Program Synthesis with Large Language Models

Reference 2

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Source-reported events for the cited work

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Observation 2266c3d2-a77a-476d-8de7-c1279c4282ea · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Generating Diverse Hypotheses for Inductive Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

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Observation 9eae0634-672a-4f48-b64d-6852c8171954 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 4

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Observation d32fb442-863d-46c9-9c4d-be19ab5e619d · outbound

This paper cites REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy.

Generating Diverse Hypotheses for Inductive Reasoning REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy

Reference 5

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Observation 23d81cbe-a749-47d0-91bf-63bb5258694b · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 6

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Observation 180b319d-1a36-40a3-83da-c845efb3aad0 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:11:35.631232Z

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Observation 44a65e96-b2e0-4523-8a18-0c1164326be1 · outbound

This paper cites On the Measure of Intelligence.

Generating Diverse Hypotheses for Inductive Reasoning On the Measure of Intelligence

Reference 8

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Observation f84e705f-53d6-4dac-b9ca-0bf5b97b5a96 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 9

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 11

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Observation 7a518262-bd4a-431f-8bf1-a6f28e67cb03 · outbound

This paper cites Tenenbaum.

Generating Diverse Hypotheses for Inductive Reasoning Tenenbaum

Reference 12

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Observation 6b8bd234-a8b0-4038-ac98-ebd73835ab41 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 13

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Observation 4dde524d-147a-4f7a-ba04-ef10f32e9a15 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 14

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Observation 88d47689-33c6-4c21-84b2-c86e8bd0e1ff · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 16

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This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 17

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Observation c5397939-8143-4773-b6f9-8721865874a7 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 18

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Observation e690d2e7-ddac-4746-8f07-532f233d6a33 · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 19

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Observation 5361af33-824f-40d5-8d29-626d8216d0cc · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Generating Diverse Hypotheses for Inductive Reasoning Training Language Models to Self-Correct via Reinforcement Learning

Reference 20

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Observation 90a6cdcf-7c7e-4102-8581-ef4337e59539 · outbound

This paper cites Lake, Ruslan Salakhutdinov, and Joshua B.

Generating Diverse Hypotheses for Inductive Reasoning Lake, Ruslan Salakhutdinov, and Joshua B

Reference 21

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Observation ed41801e-555d-4118-94cf-a9e746b8152f · outbound

This paper cites Learning to Reason and Memorize with Self-Notes.

Generating Diverse Hypotheses for Inductive Reasoning Learning to Reason and Memorize with Self-Notes

Reference 22

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 23

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Observation 1769cf4f-83b2-416d-ac85-841a346052a5 · outbound

This paper cites Is Programming by Example solved by LLMs?.

Generating Diverse Hypotheses for Inductive Reasoning Is Programming by Example solved by LLMs?

Reference 24

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Observation 0970387b-4e55-458b-af36-9b5a96191ed9 · outbound

This paper cites Scattered Forest Search: Smarter Code Space Exploration with LLMs.

Generating Diverse Hypotheses for Inductive Reasoning Scattered Forest Search: Smarter Code Space Exploration with LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:34.720275Z

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 26

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Observation 4dc910ef-a3f9-49f2-8e98-b8ed141b41d0 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 27

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Observation 4182ffd0-43dc-4d88-9fde-7f14d6b2da0f · outbound

This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 28

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Observation 15bc7ead-09fb-4eaa-96b7-ee99c949fa20 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 29

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This paper cites The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain.

Generating Diverse Hypotheses for Inductive Reasoning The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 30

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:11:35.502324Z

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:11:35.486017Z

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Observation 3271528e-0235-4a1e-b0c1-be0aa00fd596 · outbound

This paper cites Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama.

Generating Diverse Hypotheses for Inductive Reasoning Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama

Reference 33

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Observation a15eb19a-9ae2-42d5-bb7b-f4fefbc22441 · outbound

This paper cites Is Temperature the Creativity Parameter of Large Language Models?.

Generating Diverse Hypotheses for Inductive Reasoning Is Temperature the Creativity Parameter of Large Language Models?

Reference 34

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Observation da5b9aa0-83ec-4076-a581-686068c87dfd · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 35

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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Observation 1aa690e4-1ab3-4d83-9c14-c10b356a7a5d · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 37

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 38

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This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Generating Diverse Hypotheses for Inductive Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 39

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Observation 1aa958f3-eec1-41c7-8676-784d557ca174 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 40

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This paper cites an unresolved cited work.

Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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Observation 73ccace6-ed37-4699-a4f9-67e1a18088a9 · outbound

This paper cites Code Repair with LLMs gives an Exploration-Exploitation Tradeoff.

Generating Diverse Hypotheses for Inductive Reasoning Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

Reference 42

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Generating Diverse Hypotheses for Inductive Reasoning Planning In Natural Language Improves LLM Search For Code Generation

Reference 43

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

Reference 44

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Observation 35cdd0aa-2f38-4cec-b7f5-37865ebbb493 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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This paper cites Chi, Quoc V Le, and Denny Zhou.

Generating Diverse Hypotheses for Inductive Reasoning Chi, Quoc V Le, and Denny Zhou

Reference 46

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Observation c6bff2fb-289d-4857-831e-325d52c54411 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Generating Diverse Hypotheses for Inductive Reasoning Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 49

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This paper cites Chi, Quoc V Le, and Denny Zhou.

Generating Diverse Hypotheses for Inductive Reasoning Chi, Quoc V Le, and Denny Zhou

Reference 50

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Observation 62479aa3-490a-4af2-824d-9c36abaa4b38 · outbound

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Generating Diverse Hypotheses for Inductive Reasoning Unresolved cited work

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Observation 28f623f4-d46f-429e-8bce-1cfe93cb452e · outbound

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Generating Diverse Hypotheses for Inductive Reasoning online" 'onlinestring :=

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Generating Diverse Hypotheses for Inductive Reasoning write newline

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Pith citing papers

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