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Paper Citation Record · LEDGER

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.02734.

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

pith.paper-citation-record.v1
1712.02734 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:59:42.420532Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:14:29.955130Z

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 5ce3b554-9c84-4cd7-a8ce-1cbc698bfdb0 · inbound

Sparse hierarchical representation learning on molecular graphs cites this paper.

Sparse hierarchical representation learning on molecular graphs Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T14:59:42.420532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:59:42.420532Z digest=sha256:caa03c2fa9e140e21d8d47ca8ca5ae3337f64c13080f0afa38e0f6eab8d483f1

Observation cae154c1-e687-472b-91db-2bead30131ec · inbound

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:14:30.006433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:14:20.991583Z digest=sha256:cca9dfe904c6e409d4cf4c0f95117721bafbc6dcea144a282cf145468ccbce79