Paper Citation Record · LEDGER

Combining Induction and Transduction for Abstract Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.02272.

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

pith.paper-citation-record.v1
2411.02272 v4

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:54.000674Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:01.562567Z

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 a450864d-c7e4-4c69-b802-b44e25991eb1 · inbound

GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning cites this paper.

GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning Combining Induction and Transduction for Abstract Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:54.000674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb273c3-4fc7-4455-ae7f-70acc0832164 · inbound

EasyARC: Evaluating Vision Language Models on True Visual Reasoning cites this paper.

EasyARC: Evaluating Vision Language Models on True Visual Reasoning Combining Induction and Transduction for Abstract Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:40.284999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf5c64a-e53e-4567-a80d-e07a591b51a5 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny Combining Induction and Transduction for Abstract Reasoning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:14.124136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d8428a-91a7-4242-aa4f-1468a45bfb90 · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models Combining Induction and Transduction for Abstract Reasoning

Reference 163

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:05:09.037148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6401373e-40d7-4926-9247-e22a8318b5ea · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR Combining Induction and Transduction for Abstract Reasoning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:30:01.564294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23e0ddef-f521-4d35-9b48-bf8f55e999ec · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR Combining Induction and Transduction for Abstract Reasoning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:54:40.481387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.