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Paper Citation Record · LEDGER

Holistic chemical evaluation reveals pitfalls in reaction prediction models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.09004.

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

pith.paper-citation-record.v1
2312.09004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:04.884961Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c26c10ef-c395-4e8a-a7ff-8e2fcdc51557 · inbound

Challenging reaction prediction models to generalize to novel chemistry cites this paper.

Challenging reaction prediction models to generalize to novel chemistry Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:04.884961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:04.884961Z digest=sha256:3db8d2280f11893998568683fb86c40c61d42f6016020ed9bd25c18356cea98e

Observation ad6b80e0-12e3-428e-bbda-b933eaef505e · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:30:51.028536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T01:26:47.595917Z digest=sha256:b56c2a8ad9b3b329727f224bb6beb22f9e59b175de89de496c48fc5cd811c18d

Observation ec69f243-5ba8-4517-a369-e1657d2b4c5b · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:08.537067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T22:27:32.898710Z digest=sha256:b6c03adff4521969a029acd07718d5a92b77ca7f12e22861c32777f01cdf6176

Observation f067aca2-6f0b-4a9e-a8ea-8a9718cdbdfd · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:05:06.226079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T23:02:18.961663Z digest=sha256:15d05c8dc595174469fc08bbdc0179d72520fc97243b4d3d08e478ffef2e4fac

Observation 97b1f4ee-0008-4340-a0a7-1523d2b516df · inbound

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-12T09:02:22.922419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:02:22.922419Z digest=sha256:bb9b6dcf27860d241a81e7a21f061bbbfbcba80fe4d9f93c1bed5dea8b1bdac5

Observation 4869c275-1b37-4f9f-8b6c-69d6ed02cd56 · inbound

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.

Agentic generation of verifiable rules for deterministic, self-expanding reaction classification Holistic chemical evaluation reveals pitfalls in reaction prediction models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T16:49:25.839283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:49:25.839283Z digest=sha256:4eca318b619560fff8f5a594d3299438ac4e531d39d28d99f0534cc9a4963d12