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Paper Citation Record · LEDGER

Holistic chemical evaluation reveals pitfalls in reaction prediction models

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:8896167c911dec5e8ac11b96b3a8e1ff89f786f5b8a9022a97b6d1ae3e6fb71b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:26:47.595917Z digest=sha256:dac7c4ade91a2fdf7abc0a4f16a87e2139fc09ba0e0b5745305ce4c385dbaf8f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T22:27:32.898710Z digest=sha256:1c381d984696f751fea14568839ab2373af2b11f59d5b20c13c5ebece45af467

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T23:02:18.961663Z digest=sha256:716ac512a25f52249762dd51e967a1b1cf6f557c0d509e8dc3f258233139ab6b

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:c7b9e2da127783393d2b33d2e516ba6024b3b3b49b13a46d824337afeb982d9f

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=sha256:6db40148b70c3566f7a01daa7895832f59d7342e7be241d57ed90cd15bcc9af7