Paper Citation Record · LEDGER

Deep Learning for Two-Sided Matching

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.03427.

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

pith.paper-citation-record.v1
2107.03427 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:39:00.059394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:46:11.867864Z

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 d9a44d6b-cfb3-401f-a64e-5f54e57a19c4 · inbound

Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives cites this paper.

Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives Deep Learning for Two-Sided Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:39:00.059394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90526b19-472d-4f6b-9d03-12278ccc427b · inbound

Neural Double Auction Mechanism cites this paper.

Neural Double Auction Mechanism Deep Learning for Two-Sided Matching

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:52.108439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e316a9c-508b-4548-8261-b4b081c0a403 · inbound

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money cites this paper.

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Deep Learning for Two-Sided Matching

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:39.914195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e9af19-9bff-4393-8d4d-8560418118eb · inbound

Learning Truthful Mechanisms without Discretization cites this paper.

Learning Truthful Mechanisms without Discretization Deep Learning for Two-Sided Matching

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:27.031927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa91654-80e2-4e6e-9502-93ebfdc8b151 · inbound

MenuNet: A Strategy-Proof Mechanism for Matching Markets cites this paper.

MenuNet: A Strategy-Proof Mechanism for Matching Markets Deep Learning for Two-Sided Matching

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:46:11.870792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.