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Paper Citation Record · LEDGER

SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.07266.

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

pith.paper-citation-record.v1
2406.07266 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:07:11.574870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.735688Z

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 c6a74e82-6bb7-4528-9e37-3675cce0a45e · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:12:00.150776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:12:00.150776Z digest=sha256:2937811f74922734920b92fa3fa2e63e74c4c78e14e103162a25651ba78d12ad

Observation 4701a4cb-101d-44f6-8c6e-0a0e25ca465f · inbound

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction cites this paper.

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T12:42:51.329675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:51.329675Z digest=sha256:c2bf74f34e568e9e5d338ab5aca8b0d2cc4fc30553322da314c02b8d808b5144

Observation 03d5253c-8121-485f-ab89-41bb71f87149 · 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 SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.776984Z

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=pdf_text observed=2026-05-11T01:01:39.724352Z digest=sha256:9629cc55bf2b419af0190cf09fca4aa03716ba2538ef26e00c0c1189877c9acd

Observation cdd49b80-db91-406b-a7a3-374e16cac4aa · inbound

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

Toward Better Geometric Representations for Molecule Generative Models SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:54.552349Z

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=pdf_text observed=2026-05-11T03:13:50.490077Z digest=sha256:69b8b4c0a845b6c23f69d12d72a90ba5c20bcc1eed89c2eea4bfee59f6f4069c

Observation 6197b044-2560-47e5-a722-fa33c7e8e93a · inbound

QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space cites this paper.

QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:27.513154Z

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=pdf_text observed=2026-05-12T04:07:26.912351Z digest=sha256:7c5955c92fe16293f677d0a6e847e6ec6790abe40254ff612e855fa2a82afb0d

Observation cd18a2c1-2133-497d-b6a9-7078999463cc · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.672741Z

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=2026-05-21T05:06:06.626303Z digest=sha256:cbe7bd152cecdb6d70699a357764c9c62ec1b9e6dc0e13c6cce013e410e917cf

Observation 2a216bea-c54e-4fc1-a7d1-c12da2625752 · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:31:22.555905Z

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=2026-05-22T09:29:45.993792Z digest=sha256:84bd4c8bdcf04435c808a8a2e2f31cccbcd66b95b034513d89f5b18b3995af5b

Observation be99e90a-02f7-49d9-b949-80ac1265f0b9 · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:20.513250Z

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=2026-05-22T09:21:17.324165Z digest=sha256:8b443a5a46f1b1b14bedcd8fa611127f8724f7fbb885ab28e1ba6e4104fc0ea7

Observation 4859321e-6b51-4d8b-9925-a5d68acab4fe · inbound

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport cites this paper.

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:08.984489Z

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=pdf_text observed=2026-06-27T22:52:42.933237Z digest=sha256:ef9045d7657551c456fbb618bdc8df1f16349c4099907a3a05e4583d032a1af0

Observation f89c93da-e89c-4854-b76d-febd84a0ceeb · inbound

Sesame: Structure-Aware Molecular Generation via Spatial Density-Map Conditioning cites this paper.

Sesame: Structure-Aware Molecular Generation via Spatial Density-Map Conditioning SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:19:47.737210Z

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=pdf_text observed=2026-06-26T08:56:13.262901Z digest=sha256:a94489ccfae8a02f7d4068d302a79debb30a89ce7b244c0899e0fd7cfee9c6e4

Observation cb481683-bfcf-4a64-b64d-1ff0f5d5fd29 · 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 SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T22:02:29.006198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:02:29.006198Z digest=sha256:98304814c3b41ea40829bd88469387c6403d3e125aa9be65c109f5b60255d16e

Observation ff7431ac-8849-44f8-b3f0-5a26904dfc7e · inbound

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers cites this paper.

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-08T01:07:11.574870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:07:11.574870Z digest=sha256:06511428bf3a47dc5210f5436a5cf88e53e8d605de4482a5ac598c107af7259e