Paper Citation Record · LEDGER

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction

As of 14 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.11696.

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

pith.paper-citation-record.v1
2607.11696 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:48:31.314623Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

verified exact0
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c67001c7-080c-4ab5-aa51-ec192907fd66 · outbound

This paper cites Deep Variational Information Bottleneck.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Deep Variational Information Bottleneck

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d118cd13-e04e-4ffb-b250-96568781d70a · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 7c3300a4-702d-48f5-aebf-d463a22453fe · outbound

This paper cites On the Measure of Intelligence.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction On the Measure of Intelligence

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation e4abcb0e-f104-45d4-9a2f-9813512e9b04 · outbound

This paper cites UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 55f5dcd0-118c-4985-9de3-391f0b4c1a40 · outbound

This paper cites Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 3f9fe564-c295-434b-a31d-9035081aafbd · outbound

This paper cites Hyperspherical Variational Auto-Encoders.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Hyperspherical Variational Auto-Encoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 9b388042-f67b-4421-8461-66e5f6c67e6e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation ef456f1a-511b-44fb-bdaf-839d458d8c83 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 7f341d6f-d99c-40cc-9d58-25cdd1b70035 · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 711d915b-cb06-4580-88fa-bd1c32195f8c · outbound

This paper cites Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation c03e5e38-ea1b-4984-bd8d-0f0845c3af65 · outbound

This paper cites C., Ameisen, E., Chen, J., Kishylau, D., Pearce, A., Tarng, J., Wu, A., Wu, J., Zhang, Y., Ziegler, D.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction C., Ameisen, E., Chen, J., Kishylau, D., Pearce, A., Tarng, J., Wu, A., Wu, J., Zhang, Y., Ziegler, D

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 403358dd-8cdd-405c-a522-3fccffac8989 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 6dad55d8-20c6-436e-9e25-e66c9735b59d · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 366b7507-3734-401c-b473-8ff21166da70 · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation e85ce8cd-5a13-4da6-b5be-7ed802e9c123 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 11bb30af-a1d8-49e4-81b7-1c1725975cbc · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Large Language Models Cannot Self-Correct Reasoning Yet

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 72a0b73d-67eb-43be-86bf-886bb74949aa · outbound

This paper cites BIG-Bench Extra Hard.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction BIG-Bench Extra Hard

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 2fcfceea-39c3-4fc0-ae77-f8c5b2a9206d · outbound

This paper cites Auto-Encoding Variational Bayes.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Auto-Encoding Variational Bayes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 17f774f1-b33b-4207-8472-db459de00a8b · outbound

This paper cites Revisiting LLM Reasoning via Information Bottleneck.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Revisiting LLM Reasoning via Information Bottleneck

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 5f289199-964d-4ebe-8148-e5039266b695 · outbound

This paper cites Specializing Word Embeddings (for Parsing) by Information Bottleneck.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Specializing Word Embeddings (for Parsing) by Information Bottleneck

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation c3ada789-b03d-4184-88b9-5974696e253a · outbound

This paper cites LingBench++: A Linguistically-Informed Benchmark and Reasoning Framework for Multi-Step and Cross-Cultural Inference with LLMs.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction LingBench++: A Linguistically-Informed Benchmark and Reasoning Framework for Multi-Step and Cross-Cultural Inference with LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation d8e3532e-854f-4161-a611-990f2b80df77 · outbound

This paper cites Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 58007475-99c6-483c-a691-febec40a2e51 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Lost in the Middle: How Language Models Use Long Contexts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 92e7e64a-8b21-41b0-af87-39cc6356987f · outbound

This paper cites DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation a0589f77-17af-48fa-aa6c-e6be810c5b4c · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Self-Refine: Iterative Refinement with Self-Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 398dc536-ad14-4025-9cf6-cb15cbcb93b3 · outbound

This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 4db73279-ac62-4ec9-afd9-6ff0f58707fa · outbound

This paper cites V., & Mitchell, M.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction V., & Mitchell, M

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 1a090f00-9abe-408c-a8f2-b628751df20f · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 84191cde-651a-45ae-ab3c-fd360b53be45 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction ChatDev: Communicative Agents for Software Development

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 1ffdbc7d-b680-4648-9cb9-2952f5785c97 · outbound

This paper cites Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 9dd5be4b-011e-41a0-96c6-8a536f342c66 · outbound

This paper cites Large Language Models Can Be Easily Distracted by Irrelevant Context.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Large Language Models Can Be Easily Distracted by Irrelevant Context

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation cf66319f-ef27-4daa-99cb-79c463e12b25 · outbound

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

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 36790b8a-ca25-48f4-8300-89a2e4d6107d · outbound

This paper cites Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 0a0bf996-8faa-4e7f-888a-282586b2436a · outbound

This paper cites The information bottleneck method.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction The information bottleneck method

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation b60f72f4-02c6-487d-8698-d8e47da8fd2e · outbound

This paper cites Deep Learning and the Information Bottleneck Principle.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Deep Learning and the Information Bottleneck Principle

Reference 35

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Observation 59290c93-7839-47f0-8896-65f3df2f93d3 · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation f9449098-ddee-4d16-b07e-b8c5ceb5ad8d · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation fdc29949-8da4-4c91-ad5e-dfd00c8390c3 · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 9ea837e8-8479-47c6-b016-841b48f2eb7a · outbound

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 68a54be1-b71f-4163-b5cb-0c16bc8a7926 · outbound

This paper cites BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 36ee3d70-1747-4e1e-9d3b-a42087a86e9c · outbound

This paper cites Leveraging Language to Learn Program Abstractions and Search Heuristics.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Leveraging Language to Learn Program Abstractions and Search Heuristics

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 397ab0f6-8dcb-41b9-83b1-d7547cfd32a6 · outbound

This paper cites SkillMaster: Toward Autonomous Skill Mastery in LLM Agents.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation b45c87c5-0a8d-4ca1-9206-ff05e98c21f6 · outbound

This paper cites Do Large Language Models Know What They Don't Know?.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Do Large Language Models Know What They Don't Know?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 52124d8b-fcec-4100-a1e1-31e609248652 · outbound

This paper cites an unresolved cited work.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Observation 2f55e1d8-6685-45bf-98f4-f3d1a1c4887b · outbound

This paper cites Understanding the Dark Side of LLMs' Intrinsic Self-Correction.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Understanding the Dark Side of LLMs' Intrinsic Self-Correction

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

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Pith citing papers

No inbound Pith citation observations are available.