Paper Citation Record · LEDGER

Multi-Source Domain Adaptation with Mixture of Experts

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1809.02256.

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

pith.paper-citation-record.v1
1809.02256 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:09:57.754143Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T02:10:36.430547Z

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 c93f6135-6555-472f-9b91-aa17d3cb693c · inbound

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation cites this paper.

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Multi-Source Domain Adaptation with Mixture of Experts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T10:09:57.754143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9416d7d6-2c8a-4a30-b044-fd7ce4ce7e91 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Multi-Source Domain Adaptation with Mixture of Experts

Reference 204

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:35:02.421110Z

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.

Observation 4807f661-dd97-48d6-824c-c75b34c55dd3 · inbound

Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls cites this paper.

Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls Multi-Source Domain Adaptation with Mixture of Experts

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.483055Z

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.

Observation d9541300-8aaa-4fc4-846f-cb3746d2d146 · inbound

Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls cites this paper.

Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls Multi-Source Domain Adaptation with Mixture of Experts

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-05T02:10:36.431955Z

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.