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Paper Citation Record · LEDGER

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.17492.

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

pith.paper-citation-record.v1
2407.17492 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:11:11.810924Z

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

6
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 bc7db093-94f0-4483-b479-df88c8fce2cf · inbound

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond cites this paper.

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T20:11:11.810924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:11:11.810924Z digest=sha256:9119267d3ffc5922ad52b7d4457993fa3b3066a476b0d122d10e2448af9da5a7

Observation a4c7de77-2ba6-488d-979a-605321fc62e3 · inbound

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation cites this paper.

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T23:24:23.561245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:24:23.561245Z digest=sha256:bad3a70d28a3c6c9171f8092a8138d304be2a11a9d5b54425108aeba143d9db7

Observation 7eb78f68-ef60-4a86-89b0-c619ff6b8813 · inbound

Streamlining Analysis and Design of Two-Dimensional Electronic Spectroscopy using Machine Learning cites this paper.

Streamlining Analysis and Design of Two-Dimensional Electronic Spectroscopy using Machine Learning Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

Reference 191

Resolution
verified exact
arxiv_id, observed 2026-06-26T19:29:48.329320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T19:24:05.130147Z digest=sha256:ef91f54e55b4fc7eafbb180cf9f0ce782f4fad52725bc4fc0d2a64709c5a8c56