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Paper Citation Record · LEDGER

Open Materials Generation with Inference-Time Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2602.00424.

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

pith.paper-citation-record.v1
2602.00424 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:08:39.883665Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:17:26.963678Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 644df5f7-2c17-48dd-8358-8c5b501a0286 · outbound

This paper cites an unresolved cited work.

Open Materials Generation with Inference-Time Reinforcement Learning Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.529960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.529960Z digest=sha256:382a596dd57e4dfb9d1d3f93bcf45b25343f3d7f2defa9089fc4b72519c5378c

Observation 3b05187a-def6-4cc9-adf9-709924ec583e · outbound

This paper cites an unresolved cited work.

Open Materials Generation with Inference-Time Reinforcement Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.666659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.666659Z digest=sha256:704bc0076f549cd309c9ddf24e3a738dcd24c2bbd695df169e09a9101f0e800a

Observation 2facec85-1564-43c5-a656-b2e8c9e77f20 · outbound

This paper cites an unresolved cited work.

Open Materials Generation with Inference-Time Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.768182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.768182Z digest=sha256:bb177df8cf95eb5efdb060d3c210b7124bf0f9c67e4f2ace18a710875799e46c

Observation b9a1b12c-6f83-44a8-be04-fc73c0bfba52 · outbound

This paper cites Øksendal, B.Stochastic Differential Equations.

Open Materials Generation with Inference-Time Reinforcement Learning Øksendal, B.Stochastic Differential Equations

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-03T06:08:38.777558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:38.777558Z digest=sha256:ae01cfe0ec98c1f49923762cba0c2fedea1c09da0267d4029b9389a71a89d6f7

Observation ecbd9bae-e232-4906-b12d-d725900c5c97 · outbound

This paper cites CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks.

Open Materials Generation with Inference-Time Reinforcement Learning CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.221084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.221084Z digest=sha256:22e43027f5cbe669f18a7a4be1a96eee4ade9336da7d7fbe649adecf37645710

Observation 229a2a88-b722-4f1c-8f4d-bcf791b80470 · outbound

This paper cites The reward is then defined as the negative of the (clipped) energy per atom, such that lower energies correspond to higher rewards.

Open Materials Generation with Inference-Time Reinforcement Learning The reward is then defined as the negative of the (clipped) energy per atom, such that lower energies correspond to higher rewards

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-03T06:08:39.883665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.883665Z digest=sha256:f8a239adb13cf08265f7d918e5824d90b074dbb4ae668ce6509a13eaf1f8dcc0

Observation 6a4c551d-bb3c-4f72-be35-427c2e0a10e5 · outbound

This paper cites Satorras, V.

Open Materials Generation with Inference-Time Reinforcement Learning Satorras, V

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:38.929145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:38.929145Z digest=sha256:688d644e93968892efbc12f046da55c3058cb9dbdbadb16988163e33cf1ec0ee

Observation d796e159-f2ac-4e59-a82e-10a8ccaab425 · outbound

This paper cites 5555/3495724.3496298.

Open Materials Generation with Inference-Time Reinforcement Learning 5555/3495724.3496298

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:38.629434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:38.629434Z digest=sha256:cf93a185f77300ac5b25cec0d97269a738d654d4452e566f989d3eb6431fc441

Observation 65f49ae8-9526-4e85-9861-bb019f23bf42 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Open Materials Generation with Inference-Time Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.058664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.058664Z digest=sha256:15b953f95196cbd0070b6ef21b77f27e2807672eb00ec265a0b85c712c312aa1

Observation ec92f1e1-3902-4d71-8438-31b6b51ad687 · outbound

This paper cites Batatia, I., Benner, P., Chiang, Y ., Elena, A.

Open Materials Generation with Inference-Time Reinforcement Learning Batatia, I., Benner, P., Chiang, Y ., Elena, A

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:38.379403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:38.379403Z digest=sha256:5ca58624287fc57fcfb6b315a1cfe94e2a44606a47ce8a022e5e6e2a5bd4bcc8

Observation 80fa8b4a-68c2-4d89-b977-aa9a58613807 · outbound

This paper cites Fast protein backbone generation with SE(3) flow matching.

Open Materials Generation with Inference-Time Reinforcement Learning Fast protein backbone generation with SE(3) flow matching

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T06:08:39.384208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:39.384208Z digest=sha256:ed68a85eb3963d10445e8846630b5de044634fd6bd5f4599d5b8dca53d7bd2f3

Observation 742ca7d6-e556-4794-aa61-a530261a23a6 · outbound

This paper cites De Breuck, P.-P., Wang, H.-C., Rignanese, G.-M., Botti, S., and Marques, M.

Open Materials Generation with Inference-Time Reinforcement Learning De Breuck, P.-P., Wang, H.-C., Rignanese, G.-M., Botti, S., and Marques, M

Reference 2025

Resolution
malformed identifier
no resolver link, observed 2026-08-03T06:08:38.477655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:08:38.477655Z digest=sha256:6f11d3b89ddeb58b1fc901e69536994ce1daf83a6f4805055e7b99367e8b793d

Pith citing papers

Observation 1feee82b-7e29-4535-bd67-a9a84417b39d · inbound

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python Open Materials Generation with Inference-Time Reinforcement Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-11T16:18:07.783761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T16:17:26.963678Z digest=sha256:58dadc7aabeae50d0b0a44a98ab8b3965b830d1a07b9dd24011b8a6445fc0c90