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Paper Citation Record · LEDGER

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.28553.

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

pith.paper-citation-record.v1
2607.28553 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T03:55:30.541029Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 03fbe49b-7ef0-40f8-89a3-b65aa677f91a · outbound

This paper cites Highly accurate protein structure prediction with alphafold.Nature, 595(7868):583–589, 2021.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Highly accurate protein structure prediction with alphafold.Nature, 595(7868):583–589, 2021

Reference 1

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source=pdf_text observed=2026-07-31T03:55:30.475785Z digest=sha256:a5f8a363f52d5d764d2be16049dff49f5aa110fdffc6ce7f0214a8e6e97e1111

Observation e6e88017-c23f-40d4-afa3-6618944cb2f5 · outbound

This paper cites Crystal diffusion variational autoencoder for periodic material generation.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Crystal diffusion variational autoencoder for periodic material generation

Reference 2

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source=pdf_text observed=2026-07-31T03:55:30.479397Z digest=sha256:9285e4194f51b0df0006879f2293d104c6f4766f4da067a631ac4bc0d4a629a2

Observation 182922c2-d418-47fd-8bd9-9f2897b66efc · outbound

This paper cites Torsional diffusion for molecular conformer generation.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Torsional diffusion for molecular conformer generation

Reference 3

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source=pdf_text observed=2026-07-31T03:55:30.482271Z digest=sha256:53759ffc6468452ddd0a17e4145393d8d2293c873f398d8e7217759cc70df23c

Observation 8ea76434-ee55-4a05-8663-40efe7cdb841 · outbound

This paper cites Antigen-specific antibody design and optimization with diffusion-based generative models.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Antigen-specific antibody design and optimization with diffusion-based generative models

Reference 4

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source=pdf_text observed=2026-07-31T03:55:30.484980Z digest=sha256:c459b8cbba7487f6b57a60d533f37c6ed6b3b98c764e180c2f9f4621ebe91188

Observation b5fdd3fc-771e-427c-898f-3a975189665c · outbound

This paper cites an unresolved cited work.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-31T03:55:30.488050Z digest=sha256:8d59d3ce0ce4ede1607bed9a622ee0466e870a2078c5764c9f228c294b40413e

Observation 2985a071-45dc-4e92-b884-48642a27b8d7 · outbound

This paper cites Building normalizing flows with stochastic interpolants.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Building normalizing flows with stochastic interpolants

Reference 6

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source=pdf_text observed=2026-07-31T03:55:30.490979Z digest=sha256:afe799762486e1519e2195aae0c47ee02e5f72f76765b3bf0eb089318d744a6d

Observation 9e18b34f-4aa3-41f1-b14a-cb8c76dc6ac2 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 2020.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 2020

Reference 7

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source=pdf_text observed=2026-07-31T03:55:30.494177Z digest=sha256:887a446ee1242035a962d634b98afdeef3a7241dbe7329af1be6d94946e7a97d

Observation 1788ded7-e58a-4689-9fec-ed264cf7331e · outbound

This paper cites 3d structure prediction of atomic systems with flow-based direct preference optimization.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems 3d structure prediction of atomic systems with flow-based direct preference optimization

Reference 8

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source=pdf_text observed=2026-07-31T03:55:30.496744Z digest=sha256:9d243f1d6487bca1b9c76a0fcde78b0a7b6aa0d7fcf335011496007e5504fef0

Observation 2a200603-3742-4cb8-ba01-846f08a806a2 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Direct preference optimization: Your language model is secretly a reward model

Reference 9

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source=pdf_text observed=2026-07-31T03:55:30.499383Z digest=sha256:43c9051a3c234530730137d36bbc566ab11735c5d683b97b42512286ec100ddc

Observation 9209b6e1-e271-4fa6-a150-b9ddad2a01ba · outbound

This paper cites Commentary: The materials project: A collaborative ecosystem for accelerating materials design.APL Materials, 1(1):011002, 2013.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Commentary: The materials project: A collaborative ecosystem for accelerating materials design.APL Materials, 1(1):011002, 2013

Reference 10

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source=pdf_text observed=2026-07-31T03:55:30.502080Z digest=sha256:371b7fad45561d39158089bdd0a99b465574d4c328216ecbc7ea5aec1867832c

Observation 954339d6-940d-4376-9db2-a422ac44e0b6 · outbound

This paper cites The protein data bank.Nucleic Acids Research, 28(1):235–242, 2000.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems The protein data bank.Nucleic Acids Research, 28(1):235–242, 2000

Reference 11

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source=pdf_text observed=2026-07-31T03:55:30.504746Z digest=sha256:ddb6b61edd9e4dfd3d78fc568b5cd3740f64700d3c105e4f5ab93ed0119736ba

Observation 0da62241-0312-4eaa-b15b-0679ecc6e1ff · outbound

This paper cites De novo design of protein structure and function with rfdiffusion.Nature, 620(7976):1089–1100, 2023.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems De novo design of protein structure and function with rfdiffusion.Nature, 620(7976):1089–1100, 2023

Reference 12

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source=pdf_text observed=2026-07-31T03:55:30.507554Z digest=sha256:49bd246153d7fa81cbd8c17689d0a5906c2ab9f3567833b3304664c45eca5c04

Observation 3bbf2724-f3f5-411e-acd0-c5627ebd6024 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 13

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source=pdf_text observed=2026-07-31T03:55:30.510735Z digest=sha256:1f009e6f987cd2f859dcd02da6cba738e421bb54dceded267940b1b56a61de9a

Observation 83e37517-b851-4d4d-aeb2-f5b8bbf8014b · outbound

This paper cites Role of dimension-eight operators in an EFT for the 2HDM.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Role of dimension-eight operators in an EFT for the 2HDM

Reference 14

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source=pdf_text observed=2026-07-31T03:55:30.514028Z digest=sha256:87c325ecaee9a724552a00db2381c05b6f852e2c771face37923d5dad5552aca

Observation dfff6b34-441b-4921-ae86-486f9d800ddc · outbound

This paper cites 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction

Reference 15

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source=pdf_text observed=2026-07-31T03:55:30.517019Z digest=sha256:c372fd686dc840a9c2cee1be190733ede59c5b6fa9b941ff87ebe6b2bb79062a

Observation 2629a437-a022-4e46-9098-f111423f66a3 · outbound

This paper cites Deep reinforcement learning from human preferences.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Deep reinforcement learning from human preferences

Reference 16

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source=pdf_text observed=2026-07-31T03:55:30.519935Z digest=sha256:f5384f356194f15eb5fae85fc41d6685d58cec17bdca4d8e50c4748906c2ef83

Observation daa02966-ed25-47f0-be23-9ac6c10489f9 · outbound

This paper cites an unresolved cited work.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Unresolved cited work

Reference 17

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source=pdf_text observed=2026-07-31T03:55:30.522440Z digest=sha256:a3047a3c7a89ab86c4710aec0481a3e7a3b8fe1fc111b26156e0a1ea1757db43

Observation 81766ed2-0689-47ef-a1c4-09e6d89d8d51 · outbound

This paper cites A tutorial on spectral clustering.Statistics and computing, 2007.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems A tutorial on spectral clustering.Statistics and computing, 2007

Reference 18

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source=pdf_text observed=2026-07-31T03:55:30.525183Z digest=sha256:45e0a3d909e5f8834dab0b1bd56b34f255cbdddee1ec3dcca1ce4efa1e704ec0

Observation ec648816-7ae2-40d2-a80d-982807e6efe4 · outbound

This paper cites Crystal structure prediction using ab initio evolutionary algorithms: Principles and applications.The Journal of Chemical Physics, 2006.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Crystal structure prediction using ab initio evolutionary algorithms: Principles and applications.The Journal of Chemical Physics, 2006

Reference 19

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source=pdf_text observed=2026-07-31T03:55:30.528027Z digest=sha256:1218532a8a16d4f01ca007a9fdadfafb5a136e542b219e345922e72343f5d94f

Observation 3858a4c7-766a-45fd-a144-5f9d2cddad8e · outbound

This paper cites , x(G)} ∼πθ(·|c).

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems , x(G)} ∼πθ(·|c)

Reference 20

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source=pdf_text observed=2026-07-31T03:55:30.531843Z digest=sha256:0a6f956520a60debfc1c29aeb093cff57cb3a3a07fbffd6ba5e35c48e79f5f67

Observation 6211d6b2-f064-4b32-a43c-d7d765b9274c · outbound

This paper cites ComputeR (i) spec via eigen-decomposition ofS(Eq.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems ComputeR (i) spec via eigen-decomposition ofS(Eq

Reference 21

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source=pdf_text observed=2026-07-31T03:55:30.535293Z digest=sha256:906c1891356726afc03e695416d54f82e382faac3f6209b968675502946b403c

Observation 62613fdf-8c03-4779-a033-871779bce3aa · outbound

This paper cites Compute std devσ R = q 1 G PG k=1(R(k) − ¯R)2.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems Compute std devσ R = q 1 G PG k=1(R(k) − ¯R)2

Reference 22

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source=pdf_text observed=2026-07-31T03:55:30.538430Z digest=sha256:d493d1844d842ab375bc1b6ca861557008617a53d6f60748166241d585826f1c

Observation 4036bacb-b5d3-4f7f-9ec7-398d3058285e · outbound

This paper cites centrality.

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems centrality

Reference 23

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source=pdf_text observed=2026-07-31T03:55:30.541029Z digest=sha256:9617b9aee5fdfeb8c0de5f5bdb346c9cb5c63d45de1e7748e02bb5164975e085

Pith citing papers

No inbound Pith citation observations are available.