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Paper Citation Record · LEDGER

Learning to Make Analogies by Contrasting Abstract Relational Structure

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.00120.

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

pith.paper-citation-record.v1
1902.00120 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:50:06.195452Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T05:07:39.147198Z

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 3978c64c-8676-415b-b667-0dd28d5d5c22 · inbound

Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture cites this paper.

Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture Learning to Make Analogies by Contrasting Abstract Relational Structure

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:06.195452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:06.195452Z digest=sha256:b77d204c9e7de0ea3f3867dd439daee6d5d2ff9c7932fd33e2974a693e929294

Observation 74444b0b-af22-4982-a8af-78c2b047bdf3 · inbound

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models cites this paper.

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models Learning to Make Analogies by Contrasting Abstract Relational Structure

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T18:06:03.928372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:06:03.928372Z digest=sha256:7ea6a0fb39596ad61d1a493296856b9c765a1e3839ac96344a69fc8afa105d22

Observation 2254b691-30a1-4c91-b3da-4750f99366f5 · inbound

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning cites this paper.

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning Learning to Make Analogies by Contrasting Abstract Relational Structure

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:46.879097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:46.879097Z digest=sha256:0d9660cadd9554db78d30d6e2ce517a4f4b88596b0ab669309f6ce5181044011

Observation af82e1b4-db37-4f2b-8475-a33c5bd7f3bc · inbound

Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks cites this paper.

Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks Learning to Make Analogies by Contrasting Abstract Relational Structure

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T05:07:39.148487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T13:24:48.138643Z digest=sha256:ddb2e0474cd8d768dd0a81d9424c6f525d74b05f11208dfbab75b217990d49c2