Paper Citation Record · LEDGER

A Survey on Programmatic Weak Supervision

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.05433.

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

pith.paper-citation-record.v1
2202.05433 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:45.843358Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:25:19.666416Z

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 6e42ec6d-4d2d-4fad-8645-e9c5e6b2c813 · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble A Survey on Programmatic Weak Supervision

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.668521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 786d2e69-08f7-4803-a8d8-e065e40912eb · inbound

Refining Labeling Functions with Limited Labeled Data cites this paper.

Refining Labeling Functions with Limited Labeled Data A Survey on Programmatic Weak Supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:35.903602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8b8e2d-43f4-4bcc-b6c1-510c5ac2ddbd · inbound

Weak Supervision for Real World Graphs cites this paper.

Weak Supervision for Real World Graphs A Survey on Programmatic Weak Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:47.432114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b904eb-310f-4635-a96f-be0397848f14 · inbound

Meta-learning Representations for Learning from Multiple Annotators cites this paper.

Meta-learning Representations for Learning from Multiple Annotators A Survey on Programmatic Weak Supervision

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:25.737399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 922ea992-5839-4689-b6f9-61ebfb670af1 · inbound

Importance of User Control in Data-Centric Steering for Healthcare Experts cites this paper.

Importance of User Control in Data-Centric Steering for Healthcare Experts A Survey on Programmatic Weak Supervision

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:45.843358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71be5a8e-c3db-4331-bd93-a70355b58c0a · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data A Survey on Programmatic Weak Supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:53.603967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8895219a-0088-4aa9-bb5b-69cb83900c4d · inbound

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis cites this paper.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis A Survey on Programmatic Weak Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:34.278926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a8498e-1130-4a28-a3b1-ed6e565b749b · inbound

Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise cites this paper.

Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise A Survey on Programmatic Weak Supervision

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:01.636712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.