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Paper Citation Record · LEDGER

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.04223.

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

pith.paper-citation-record.v1
2410.04223 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:59.008579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:55:01.687119Z

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 0daa6041-949e-4a0c-af46-99274594cf65 · inbound

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T16:00:22.857335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:00:22.857335Z digest=sha256:d1c93eae58e367ad69929bc45f9463951fce02809d772bfefae15bf58e278a93

Observation 9686ca6e-41b4-4d1f-947b-97e851cf7cca · inbound

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models cites this paper.

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:22.535392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:22.535392Z digest=sha256:472cac7561986cedeca52e177e2005fcc8abfe121973a3dca68c6ad1fe45378e

Observation 7988b1a1-b0bb-4828-9d28-cad1c48a6fc2 · inbound

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning cites this paper.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.008579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.008579Z digest=sha256:38f23829c61ffe77686a07443d03cff2d578ab57c60080d0eabb5f02cc661da4

Observation 5eaaf1eb-6a45-4ede-8d61-de07e8eb8510 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:26.017350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:cd36abd3a93a579072f2c39c92fbaa2a967218eb3f60b3029724449511c2beea

Observation c96ebf8d-b7a7-4892-b385-423c61dd3790 · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:43:19.665584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T13:39:56.672175Z digest=sha256:824d703d6af7bdb691eca4f4cfba0df6ac473d1c1e15562f885328ee758f25ea

Observation 12a70a65-9107-409c-b376-3089c1ca1c3e · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:34:46.976428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T09:31:47.827675Z digest=sha256:ba66cdf65d28838701f168514679f8e640baa8d1ffd0a6b71ece1c607581f8cc

Observation bbcb253d-9735-432f-b4a5-cdbb4f87d535 · inbound

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:55:01.689031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T19:47:39.298750Z digest=sha256:1a7b94858291464433f89ac55569b1d7f00c2d26a4db8c9320cb21e83546a021