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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:5e475dee9ff299b88604bc4a2739b05cfa6c56efc5111f5a499cb7f3fae39e61

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:c23986c3776da0fefc36cb67f858bd0dc0202402c4c21f8595626e983b12d1b2

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=sha256:9bbecbc92953dab371322adfcc391ff4d1fae09395670f9d75199787cfc9529b

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=sha256:75b5b85ddd2f8254e6121c9a4edec5aa421d0ab633a4913fbcb033e2b415685a

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:ea43c8c41e15956ecb46ef92875df8a09c72f18099f01f16c849c742fb78e01d

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:aa4558ea6773739cd004acc9ab6488bc8168dfc0eb833b850a6cc1490d19c183

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=sha256:92646beb13a7106a66cdaa308e6e0df0e8875347af8c13de5136247ff7f2b5f6

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:cd9ef8c13b965547a28398854b1035007fa9a415a1a4f1a89d9da76eb20980ba

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:b4364b7f698020d966a805cc0a59d9802a9faa573f71bd6400481dab75d2c7a6

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=sha256:861406c3a24fbef5d4b6f2758e0c5c22b4093ca4c1de415c04f08f7f2c0eca47

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:e082eba7fb51c31137848bed9aec8104375c6b3022f68fc771a2462026f1f204

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=sha256:2f3743cdee84d371fd7bf0aeef1e8ab6e8226e9d69a6e462a44837f1e6d2318e

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:b96a94e486f290b2c1eef39658281050342fc7fc960c75d905a88d9e5f410f63

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=sha256:32d31756166dc73f79f47b0191b1f723b4c64cd1b11b5942b666a52cb6f31fd6

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:aadd615dc9574ad72a65007e796864f715ae80e1e4490c3e6909e226e2be3a6c

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=sha256:6a9792a184a30865f2a5811af4d4bf9869a99da8a8b088d6b2f6265f1c173251

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:f7367e98cfb40a432afaec38180a22770446117a7faca74a1c8986a66c0525d2

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=sha256:58e3752d0f72b770e70ef35db783cc6b420208f06ae9efbc3424edc5352a8e3f

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=sha256:4dd3b14c3cd702e7ec571e34768e793d456b02abf1dfef54f1f1cce9cb736a0c

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=sha256:6db520cb7cc92f75e25271c5410fb6b084df98f7ed6767910fef2c82f060999e

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:f397907ac6fea10cd9d8523d0a9bbeac6499fcd767d25dd4edb5c2c766a03258

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=sha256:60a66df12d3198a9855d5c2c8992d6e5ffd9a050f1e4e864e191b122c0beefb3

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=sha256:39fabfe205c533e9720f4bc0633c46f0a2e2087e0bc602983440a41cedd72705

Pith citing papers

No inbound Pith citation observations are available.