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Paper Citation Record · LEDGER

On the Paradox of Learning to Reason from Data

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.11502.

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

pith.paper-citation-record.v1
2205.11502 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:04:55.656296Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.399599Z

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 566a2e50-2dfe-4754-9df7-481e31f43cf4 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code On the Paradox of Learning to Reason from Data

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:43.078519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:6a72f51c524ba962f60a8d03df2521a9f4391bff84576c873ea5d04f8b3f828d

Observation 13d0a1c7-784b-4592-b649-ef229c498e56 · inbound

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models cites this paper.

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models On the Paradox of Learning to Reason from Data

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T15:04:55.656296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:04:55.656296Z digest=sha256:1880582aa324084097dde6b1e53bd582a7784ad045eeab3d9d8aeb0fdba402e8

Observation e4a1d03f-6a28-4fff-8b7b-ce73a2f710f7 · inbound

Propositional Logic for Probing Generalization in Neural Networks cites this paper.

Propositional Logic for Probing Generalization in Neural Networks On the Paradox of Learning to Reason from Data

Reference 43

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:08:59.895825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:08:59.895825Z digest=sha256:a366d30f704c77e5597e67e33c4841e7d2c70e4b89c62f55cce5f3e9cea79676

Observation e961a336-f6d8-43ee-8df1-8ef5f66990f8 · inbound

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training cites this paper.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training On the Paradox of Learning to Reason from Data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:42.784696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:42.784696Z digest=sha256:aff6a06d44598a614443cced29ee2d949d8dbf2afe6a89a53f81b46d7d5826df

Observation 4991d741-9ceb-4302-9bff-59f6a93d80c7 · inbound

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs cites this paper.

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs On the Paradox of Learning to Reason from Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T22:08:57.890644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:08:57.890644Z digest=sha256:3a4687104a940fa12881b475d22f0cf44f2caf0c55e95de19f06660722f6389d

Observation 8e709678-729f-43e7-9e64-3bfdcc8c5963 · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners On the Paradox of Learning to Reason from Data

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.402271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T11:36:14.896698Z digest=sha256:e5b54bdcda21a05f7fabeb3687fe012200363a8d29f382205c36c7e6f40622cb