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Paper Citation Record · LEDGER

COIN: Co-Cluster Infomax for Bipartite Graphs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.00006.

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

pith.paper-citation-record.v1
2206.00006 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:18:19.992580Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:31:22.265339Z

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 5b3727d3-f602-426d-83f0-1a5ab1434f76 · inbound

InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction cites this paper.

InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction COIN: Co-Cluster Infomax for Bipartite Graphs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T20:18:19.992580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:18:19.992580Z digest=sha256:05bf7db4a30f72c440a98e4bd2d455827081d12b9eb139bf6e776fd9e9a8559b

Observation bdf81219-308a-4bfe-80df-512cfe4371f2 · inbound

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? cites this paper.

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? COIN: Co-Cluster Infomax for Bipartite Graphs

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T18:13:12.643537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:13:12.643537Z digest=sha256:6efb0759b46a97cce935986563894ac363c1f0b476188834c239943cb7905c56

Observation 79ea5774-a346-4c98-ab52-4469983c2555 · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation COIN: Co-Cluster Infomax for Bipartite Graphs

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:31:22.267899Z

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=2026-05-15T17:30:44.919870Z digest=sha256:f4d3046e3548a87d8b6f43f04e0a2dae5f6020113608468d008009e2be8e9424