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Paper Citation Record · LEDGER

MolFM: A Multimodal Molecular Foundation Model

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.09484.

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

pith.paper-citation-record.v1
2307.09484 v2

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 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:20:38.245089Z

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

9
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 00391575-5c8c-4357-bedc-7fc27fad48ae · inbound

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules cites this paper.

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules MolFM: A Multimodal Molecular Foundation Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T19:20:38.245089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:20:38.245089Z digest=sha256:5cbff7f804f7af2bb3cd75d070e3f2737ca8eaa1ffa9ce2989a6da18b74a0bf4

Observation 51ff8363-c107-4cff-843e-4c9bfa9d0bee · inbound

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? cites this paper.

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? MolFM: A Multimodal Molecular Foundation Model

Reference 852

Resolution
unresolved
no resolver link, observed 2026-08-11T18:13:12.664072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:13:12.664072Z digest=sha256:29aee5b2ad9a7cec4b0eab919b02ac7e2425baddb487e3a17eb18c25b523b99f

Observation 85596e3e-a622-40fe-a641-22d536ac4e0c · inbound

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention cites this paper.

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention MolFM: A Multimodal Molecular Foundation Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T18:34:03.047178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:34:03.047178Z digest=sha256:a1a43b8f66407215929824599dfcb3ede81bdcc611ae94cacace946b501a9758

Observation a4c64c2b-42d6-4b4c-ae32-ce986c916091 · inbound

OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery cites this paper.

OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery MolFM: A Multimodal Molecular Foundation Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T14:23:33.702798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:23:33.702798Z digest=sha256:2d892aa9e837f591d63f5886741dbb4745210534d86be97dfb53fb02be40ec29

Observation d000a869-8fc7-4049-ab34-160d2b93575e · inbound

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research cites this paper.

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research MolFM: A Multimodal Molecular Foundation Model

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:12:05.129295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T05:10:23.963494Z digest=sha256:ab7281622129c5336dbb7659eddec5df96974a957198acfe3b0cd5914bb37c4f

Observation 52a02f6b-849e-4dc6-a8cd-41f51ba949d8 · inbound

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models cites this paper.

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models MolFM: A Multimodal Molecular Foundation Model

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:06:24.827120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T04:02:57.037939Z digest=sha256:2f84096144af454592c3b2839baae16718a801ec530faf90f97d707380c456cd

Observation f41b15f0-9039-4292-8854-2b99ba3c0ade · inbound

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules cites this paper.

SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules MolFM: A Multimodal Molecular Foundation Model

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:31:07.838008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T05:27:01.285624Z digest=sha256:63af021484af2ed433095789eb9c000b358b038b8c4a3e06fd504a95c9747649