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Paper Citation Record · LEDGER

Meta-Learning to Compositionally Generalize

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.04252.

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

pith.paper-citation-record.v1
2106.04252 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:35:44.751847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:16:26.671868Z

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 44a72117-111f-4118-81dc-de4543d96461 · inbound

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations cites this paper.

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Meta-Learning to Compositionally Generalize

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T12:35:44.751847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:35:44.751847Z digest=sha256:32ca01330653c74735c38bed9a29511d9e256f0b15fb34669b507f49d8b16ab7

Observation 5a9ab504-a425-42aa-8623-decf5a309ac0 · inbound

GXJoin: Generalized Cell Transformations for Explainable Joinability cites this paper.

GXJoin: Generalized Cell Transformations for Explainable Joinability Meta-Learning to Compositionally Generalize

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:58.840072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:58.840072Z digest=sha256:1e454a9788fca5a27c5f7bde357199c7d4b415f326e2a433d667302380336ca9

Observation a82061d3-630e-4a40-a33f-222de10ed805 · inbound

High-Order Deep Meta-Learning with Category-Theoretic Interpretation cites this paper.

High-Order Deep Meta-Learning with Category-Theoretic Interpretation Meta-Learning to Compositionally Generalize

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:32:41.160660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:32:41.160660Z digest=sha256:3bfc32249e550e9b4d736d6d0e5fdde887c3050b298e104b2b18e07d3fc70597

Observation ec182c8e-3dcd-445f-bc9b-2727ca67ca55 · inbound

Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems cites this paper.

Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems Meta-Learning to Compositionally Generalize

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:26.674259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T11:44:27.736033Z digest=sha256:18d16f7279c504363e9dd0a6ef85620a3c2bc87e9766606e1dad33980a4a71fd