Paper Citation Record · LEDGER

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets

As of 5 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.29975.

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

pith.paper-citation-record.v1
2606.29975 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:32:41.486279Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

26 of 26 outbound references displayed

verified exact6
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ff90201-b8cd-42eb-93fb-a0d9cb1bdb91 · outbound

This paper cites High performance i/o for large scale deep learn- ing, 2020.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets High performance i/o for large scale deep learn- ing, 2020

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81152389-3125-415f-847a-1b253c70dfc7 · outbound

This paper cites Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7017d1-032c-483b-9a87-700a9f8e6d8d · outbound

This paper cites The aflow standard for high-throughput materials science calculations.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets The aflow standard for high-throughput materials science calculations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730cd795-ac6a-4180-9f31-4a5db06403bb · outbound

This paper cites an unresolved cited work.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-06-30T07:34:20.905788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8f06de0-8b1e-4987-8efb-b9306b0b927d · outbound

This paper cites Lawrence Zitnick, and Zachary Ulissi.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Lawrence Zitnick, and Zachary Ulissi

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe8ccc3-6a7d-4767-99b0-d851b4233704 · outbound

This paper cites Lawrence and Ulissi, Zachary , year=.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Lawrence and Ulissi, Zachary , year=

Reference 6

Resolution: metadata mismatch; doi, observed 2026-06-30T07:34:20.883402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a9f20f4-b2e6-4e0a-aae4-fa976a98c743 · outbound

This paper cites MDB: A memory-mapped database and backend for OpenLDAP.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets MDB: A memory-mapped database and backend for OpenLDAP

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7a56f2-a3cf-41e1-a5e8-c0da69871cdb · outbound

This paper cites Nature Machine Intelligence5(9), 1031– 1041 (2023).

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Nature Machine Intelligence5(9), 1031– 1041 (2023)

Reference 8

Resolution: metadata mismatch; doi, observed 2026-06-30T07:34:20.900726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5a693d2-69a0-4b71-904a-cf5ed44342ad · outbound

This paper cites Draxl and M.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Draxl and M

Reference 9

Resolution: metadata mismatch; doi, observed 2026-06-30T07:34:20.873742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9eddab31-32a5-465f-8762-c84fe548e51f · outbound

This paper cites A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:34:21.390570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57b32efd-eb40-49e7-a055-f8f41e2bc864 · outbound

This paper cites Fair chemistry documentation.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Fair chemistry documentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bff864-3768-414a-92b8-1849b4818bf4 · outbound

This paper cites APL Materials , author =.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets APL Materials , author =

Reference 12

Resolution: metadata mismatch; doi, observed 2026-06-30T07:34:20.880759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d181ac49-4c4b-4077-bfe3-fcacc74c8a24 · outbound

This paper cites Liu , R.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Liu , R

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:34:21.382109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a7d20af-c754-427d-80d2-36ef8c97c5cd · outbound

This paper cites URL https://doi.org/10.1038/npjcompumats .2015.10.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets URL https://doi.org/10.1038/npjcompumats .2015.10

Reference 14

Resolution: metadata mismatch; doi, observed 2026-06-30T07:34:20.871439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e1f5755-2dc6-4220-9a46-3200beb49783 · outbound

This paper cites Kuner, Aaron D.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Kuner, Aaron D

Reference 15

Resolution: verified exact; doi, observed 2026-06-30T07:34:20.907954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d73c8b4-9961-4d30-89f5-67072d531a81 · outbound

This paper cites The atomic simulation environment—a Python library for working with atoms.Journal of Physics: Condensed Mat- ter, 29(27):273002, June 2017.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets The atomic simulation environment—a Python library for working with atoms.Journal of Physics: Condensed Mat- ter, 29(27):273002, June 2017

Reference 16

Resolution: verified exact; doi, observed 2026-06-30T07:34:20.876369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cf1d81b-563a-48cc-9d74-5716453a92bf · outbound

This paper cites Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith, Michael G.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith, Michael G

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.401871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77449c18-aaba-4fcb-b178-eddde932c5f7 · outbound

This paper cites Zarr stor- age specification 2.0 community stan- dard.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Zarr stor- age specification 2.0 community stan- dard

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e134dbac-217b-4f55-b7f9-5c45f8905025 · outbound

This paper cites PyTorch: An imperative style, high- performance deep learning library.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets PyTorch: An imperative style, high- performance deep learning library

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3d86a6-efdc-44b4-9a63-8f09083e2dbd · outbound

This paper cites arXiv preprint arXiv:2508.20875 , year=.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets arXiv preprint arXiv:2508.20875 , year=

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:34:21.394354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17a45860-5aed-40db-9b2c-ee36ae375181 · outbound

This paper cites Improving machine-learning models in materials science through large datasets.Materials Today Physics, 48:101560, 2024.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Improving machine-learning models in materials science through large datasets.Materials Today Physics, 48:101560, 2024

Reference 21

Resolution: malformed identifier; doi_truncated, observed 2026-06-30T07:34:20.903811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0d2db9b-f09a-4d3d-a300-44c97b7924ab · outbound

This paper cites Lemat-bulk: aggregating, and de-duplicating quantum chemistry materials databases, 2025.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Lemat-bulk: aggregating, and de-duplicating quantum chemistry materials databases, 2025

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.390337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfc0abc2-5c2e-4959-b49a-b22c36227cbc · outbound

This paper cites How big is big data? Faraday Discussions, 256:483–502, 2025.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets How big is big data? Faraday Discussions, 256:483–502, 2025

Reference 23

Resolution: verified exact; doi, observed 2026-06-30T07:34:20.878480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d950428-2179-4aca-939d-ddc06b18ad53 · outbound

This paper cites Speckhard, Tim Bechtel, Sebastian Kehl, Jonathan Godwin, and Claudia Draxl.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Speckhard, Tim Bechtel, Sebastian Kehl, Jonathan Godwin, and Claudia Draxl

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb39378-52b8-4846-a730-13392fd5073e · outbound

This paper cites Hierarchical data format, ver- sion 5.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets Hierarchical data format, ver- sion 5

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ed7516-8026-4790-9075-1af6b5645ae4 · outbound

This paper cites DOI: https://doi.org/10.

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets DOI: https://doi.org/10

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-30T07:32:41.486279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.