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Paper Citation Record · LEDGER

Geometric Representation Condition Improves Equivariant Molecule Generation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.03655.

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

pith.paper-citation-record.v1
2410.03655 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:06.285927Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:16:14.030808Z

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 072c6149-b57e-4c59-9130-25a66b151368 · inbound

Scalable Autoregressive 3D Molecule Generation cites this paper.

Scalable Autoregressive 3D Molecule Generation Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.285927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.285927Z digest=sha256:7fcae36f4367db4f44c44b4176a9b5d781015139885ed8d3fc5be6ee82a82fb7

Observation 91592df9-8a6c-4a13-a836-db447686ebd9 · inbound

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner cites this paper.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.032845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:983be8d98f4dc5fae9f391a81653324534b2900b1a9eedc4edd6e9fdf8bdeaa9

Observation d34b83c0-2996-4eb0-b89d-6aa041398a43 · inbound

FlashMol: High-Quality Molecule Generation in as Few as Four Steps cites this paper.

FlashMol: High-Quality Molecule Generation in as Few as Four Steps Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.698190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T01:01:39.724352Z digest=sha256:7bb4c965874652926e01182b0e9c28dbd237f0fd1b43cb22333efdc5870fa6db

Observation b76381af-227a-42ab-a8b3-6ee3b55bb7f0 · inbound

Toward Better Geometric Representations for Molecule Generative Models cites this paper.

Toward Better Geometric Representations for Molecule Generative Models Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:54.571466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T03:13:50.490077Z digest=sha256:bc2b9651a20e90d80b0f92ff4c6a4f7c7cf7148e10a125a04de693bcd1e7c25c

Observation 45314020-4bbd-479a-89a7-673284b3bcd3 · inbound

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning cites this paper.

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T22:02:29.133624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:02:29.133624Z digest=sha256:8d4c44de946a53faf4eb42d8f6c317bcd6f874aa457408469a32a7120c5708f2